Wisconsin rushed for more than the defensive average in 9 of 13 games. Their 3 best games were against Minnesota, Michigan State, and Ohio State. Northern Illinois and Illinois were their two worst rushing games of the season.
On the other hand, Badger opponents typically allowed 230 yards per game passing. Against these teams, the Badgers threw for 164.5 yards per game. So, they threw for 65.5 fewer yards per game than their opponents typically allowed.
Only once all year did the Badgers match the typical yards allowed per game via the air, vs. West Virgina.
Other decent games were Penn State, UNLV, and NIU. Their worst passing games were against Michigan, Indiana, and Iowa.
What is interesting here is that Wisconsin could run fairly well on most teams, but what really determined whether they won or lost was how well they threw the ball.
The net results were slightly negative, gaining about 20 yards fewer per game than typically allowed, which basically means they were your garden variety average offense...solid with run, poor with the pass.
BADGER DEFENSE
Wisconsin held their opponents to under their average in 9 of 13 games. Their 3 best games were against Iowa, West Virginia, and Minnesota, the best three running teams they played all year. This bodes well for their matchup with Colorado.
On the other hand, they gave up an average of 20.1 MORE yards per game via the pass than their opponents typically threw for. While they only had 2 really bad games (Illinois and Indiana), they made a bunch of mediocre passing teams look pretty good (NIU and Minnesota being the most prominent).
Only four times did a team throw for less than their season average vs. Wisconsin.
The net results were slightly positive, yielding about 6 yards fewer per game than typically allowed, which basically means they were your garden variety average defense...solid vs. the run, poor vs. the pass.
The Badgers best game was UNLV, though it was obviously shortened to 53 minutes. However, even with that time back, I don't believe UNLV would have gotten to either their passing or running average.
On the other hand, Illinois was by far their worst defensive game, the only game in which the opponent both run and passed for more than their averages.
How Young Were the 2002 Badgers?
We heard a lot in 2002 about how young the football Badgers were. Here is a little study done by BadgerBoard
resident BadgerBrett which took a look at that very subject. If you would like the spreadsheet with the specifics
of the study, just email me (as it was too difficult to post online).
And now.....BadgerBrett:
I've heard a lot of talk around here lately about the lack of talent on this team. I disagree, this team has some talented players, but the 1999 recruiting class has killed this teams upper classman leadership.
Take a look at the number of starts (& % of starts) by each class. You'd like to have a large amount of starts by kids 4 years in the program (which would be the 1999 class)
5 year players (1998 ) - 61 starts, 23.11% of starts
9.47% of your starts is extremely low for your 4 year players. That is true Seniors & RS Juniors. Most of those starts are from BJ Tucker (12), the others are Broderick Williams (6), Jeff Mack (6) & Jim Sorgi (1). This is by far the lowest of any team in the Big 10, Purdue is 2nd w/ 39 starts (16.12%) for this class. Michigan has the most starts from this class, 117 (48.35%).
Below is the high number & low number of starts by 10 Big 10 teams (I couldn't find the starts by game for Michigan State so they were left out of this study).
5 year players (1998 ) - High, PSU (86, 35%) Low, NU (22, 9%)
Note that the teams that top teams in the Big 10 have a large # of starters that are 4 or 5 year players. It appears as though 4 year players are most important. Michigan is followed by Ohio State (94, 36%) & Iowa (90, 37%).
Also, I calculated the average starts by class for the same 9 Big 10 teams. See these numbers below...
5 year players (1998 ) - 53.6 starts, 21.80% of starts
As you can see this team is WAY below the average # of starts for the rest of the league for 4 year players (...and these averages do include UW). While the rest of the teams in the league average 70 starts, we have 25. That is 3-4 full time starters.
I know we all know this team was young, but these numbers even suprised me. Thoughts?
***NOTE, I added JUCO's to their classes (for example, Alex Lewis would be a 1 year player) when I noticed a player was a JUCO, but I may have missed some. The data may be slightly off due to this. Transfers were put in the year they were able to play (for example, McCorrison is a 1 year player) Also, I took my data from the most current press release on Monday (November 21st) so not all starts may have been calculated.
Big Ten Returning Strength 2002
Last year I did a little fun analysis about which Big Ten teams had the most returning strength and which had the weakest
returning casts. In fact, the numbers worked out so well that they predicted Northwestern and Purdue to be top
contenders while Illinois looked to be one of the teams in trouble. (OUCH!)
Anyway, I thought I would take another crack at it this year with a few modifications.
First, here is my criteria:
Here are the raw RETURNING STRENGTH totals:
Now, as some of you might recall, I made the argument last year that there is a difference in a bunch of players
returning from a great defense and a bunch of players returning from a horrible defense. So, essentially what I did
was rank the offenses and defenses from last year using a combined ranking of points scored/allowed and yard gained/allowed.
Then, the top 2 teams retained 100% of their returning strength points, the next two 95%, the next two 90%, and so on
down the line.
Here are how the teams ranked in offense and defense last year:
This gives us the ADJUSTED RETURNING STRENGH RATING of:
Combining these numbers into one average ranking, we get the following overall indicator for returning strength:
Now, our next factor to consider when predicting the Big Ten is traditional strength. Essentially, this is simply
measuring how strong each team has been in recent history, with more weight given to recent seasons. This is what most
pre-season computer polls do, so I used the Howell 2002 Pre-season rankings to gauge recent traditional strength.
Finally, we have to consider strength of schedule. Obviously, some teams have an easier path than do others. I don't have
conference SOS availabe to me, so I used the overall SOS (Howell once again). Here are the ratings, from easiest to
toughest:
Now, let's combine RETURNING STRENGTH, TRADITIONAL STRENGTH, and STRENGH OF SCHEDULE into one rating which gives the "analytical"
prediction for how the Big Ten will turn out this season:
Bollinger vs. Sorgi: AGAIN!!
Well, we now have two seasons to compare Brooks Bollinger and Jim Sorgi, seasons in which they have played with
predominantly the same personnel and a significant amount of time. Just to review, I did not include any of the
Shoe Box games, nor have I included any adjustments based on opposition. Note though that all stats are prorated (
when applicable) so Bollinger does not get penalized for playing one half before being hurt or Sorgi gets penalized
for coming on in relief and only playing part of the game. Here are the numbers:
Completion Percentage
COMMENT: Bollinger had drawn even, until the final two games in which he threw for a mediocre percentage. Sorgi was
well over 60% entering the season, but fell off drastically. I suspect that if you started looking at the opposition,
Sorgi's edge would disappear considering Bollinger played against most of the toughest defenses (Michigan, OSU, Iowa) this
season. Still, I haven't done that so Sorgi gets a slight edge.
Passing Yards Per Game (4 quarters)
COMMENT: Sorgi still gets the edge here to nobody's surprise.
Yards per completion
COMMENT: Sorgi's has continued to rise throughout his career. Bollinger's went up this year as well, but this is still
Sorgi's biggest edge overall.
First down percentage (What % of passes go for first downs?)
COMMENT: Given the prior stat, this is a strange one. More of Bollinger's passes go for first downs, which indicates that
Sorgi's yards completion edge does not translate into moving the chains.
Touchdown/Interception Ratio
COMMENT: Can't get much closer, though considering that Bollinger has played twice as much, I think this is a huge
fly in Jim's ointment.
Third down conversion rate
COMMENT: Sorgi got better this year, but Bollinger still is the man when it comes to moving the chains.
Taking sacks
COMMENT: This used to be a Sorgi edge believe it or not, but Bollinger had an excellent year avoiding pressure to take
a very slight edge.
Rushing yards (no sacks included/per 4 quarters)
COMMENT: Nothing has changed here, big for Bollinger.
Total yards per game
COMMENT: When you start to look at the rushing totals, Bollinger actually passes Sorgi. Still, this is basically a push.
Points per game
COMMENT: Sorgi still has an edge here surprising enough. I believe it is due to the difference in opposition, but haven't done the work
yet to be sure. I would also like to see how the defense does with each respective QB...maybe this summer.
Targets
COMMENT: This has basically evened out over time. Sorgi used to have a huge edge in throwing to the tight end, but Bollinger
had a big year with Anelli to wipe that out. Bollinger used to have an edge in getting the ball to the wideouts, but the Sorgi to
Evans connection turned that one around as well. Really no difference here.
Bollinger vs. Sorgi: Part Trois
Here is another update on the Bollinger/Sorgi comparsison, as this topic continues to be a hot
issue with Badger fans.
Note that all stats below are prorated based on playing time, so Sorgi isn't penalized for playing only
a few snaps vs. Hawaii or Bollinger isn't penalized for playing only a half vs. Virginia. Also note that
since it is so early in the current season, I have not yet included opposition defensive data for the 3 2001
opponents. Without further ado, here are the comments:
As the present time, we know the following:
Completion Percentage
COMMENT: Sorgi's big edge has all but disappeared with more playing time. Remember that his first two games of major
playing time came against the two teams with the worst pass completion defense in the Big Ten last year. Currently,
Bollinger's opponents have allowed a 54% passing rate, Sorgi's opponents have allowed completions at a 61% rate. I
would still give Sorgi a very slight edge here, though it is very very small (again, pending data later in the year on
how Oregon and Fresno State do for instance).
Passing Yards Per Game
COMMENT: No appreciable difference in the opposition here, so Sorgi's edge is indeed real. With Sorgi, Wisconsin has passed
the ball for more yards per game.
Yards per completion
COMMENT: In his last 5 games (limited PT vs. UCLA and Hawaii included), Sorgi has transformed from a QB who relied
almost exclusively on the short ball, to become a QB who relies on the deep pass and has thus overtaken Bollinger in this stat.
He has a huge edge on Bollinger in his ability to throw the home run ball.
First down percentage (What % of passes go for first downs?)
COMMENT: Since Sorgi has a higher yards per completion but a lesser first down percentage, it is pretty apparent that
Bollinger is probably excelling (relative to Sorgi) in the medium range passing game. Edge to Bollinger.
Touchdown/Interception Ratio
COMMENT: Sorgi used to have a huge edge here, though the gap has closed considerably. But, what is telling here is that
Sorgi's opponents have a ratio of 2.26 TD's allowed per interception while Bollinger's opponents have a ratio of 1.46.
Basically this means that Bollinger has simply faced tougher pass defenses (did you know for instance that Hawaii had a pretty
good pass defense last year statistically speaking). Given the opposition, I would call this one a push.
Third down conversion rate
COMMENT: Sorgi's opponents have actually allowed a higher percentage of conversions, though the edge is insignificant (1%). This
category is big in Bollinger's favor.
Taking sacks
COMMENT: Bollinger actually gets sacked slightly more, but for slightly less yards per sack. There is no significant
difference in the opposition each has played. No real edge either way here.
Rushing yards (no sacks included)
COMMENT: Obviously, this one is big for Bollinger. If you take out Sorgi's 47 yard run vs. Indiana, he is
averaging 8 yards per game rushing.
Total yards per game
COMMENT: Again, no substantial difference. Push.
Points per game
COMMENT: Sorgi has a nice edge here...until we look at the opposition. Sorgi's opponents have averaged allowing 29 PPG. Bollinger's
have allowed 22.6 per game. Both are slightly below average here (which is typical since these numbers do not include special teams
and defensive scores), though Sorgi's are more so. Sorgi is scoring slightly more per game, though he should be. Push to slight
edge to Bollinger.
Targets
COMMENT: Not really something to base an evaluation on, but interesting nonetheless. Bollinger used to have a big
edge in throwing to the WR's, though this year's early results have evened out Sorgi's numbers for the most part as he
has looked to Lee Evans extensively. Bollinger throws a bit more to the backs, Sorgi to the tight ends.
Until next time....
November 26, 2002
4 year players (1999) - 25 starts, 9.47% of starts
3 year players (2000) - 85 starts, 32.20% of starts
2 year players (2001) - 70 starts, 26.52% of starts
1 year players (2002) - 23 starts, 8.71% of starts
4 year players (1999) - High, Michigan (117, 48%) Low, UW (25, 9%)
3 year players (2000) - High, Purdue (93, 38%) Low, Michigan (35, 14%)
2 year players (2001) - High, NU (82, 33%) Low, Illinois (28, 12%)
1 year players (2002) - High, Indiana (44, 18%) Low, Michigan (0)
4 year players (1999) - 73.3 starts, 29.81% of starts
3 year players (2000) - 60.2 starts, 24.48% of starts
2 year players (2001) - 44.4 starts, 18.06% of starts
1 year players (2002) - 14.4 starts, 5.86% of starts
July 28, 2002
First, I took a look at each team's projected two-deep (source: Athlon's) and gave each player in the two-deep a score. I realize
that sometimes mags like this are not always 100% accurate with each and every player, but it gives us a general idea and the
score of one particular player is not going to drastically affect any of the team ratings anyway.
So, a senior All-Big Ten player like Mike Doss would be worth 5 points, while a senior returning starter like Brooks
Bollinger would be worth 3 points, and a backup freshman would receive 0 points.
OFFENSE
DEFENSE
OFFENSE
DEFENSE
OFFENSE
DEFENSE
Remember, as last year showed, this is a very inexact science. I think I have tweaked it enough to give a little better picture than last year's analysis gave, but it
still does little to evaluate things like where players return (a QB is more important than a punter for instance) or which young
players might be truly outstanding and which are simply in the two deep because the team just doesn't have anybody else. So, all of you Badger fans
heading to Vegas, I certainly wouldn't lay down much money on PSU finishing last.
November 24, 2001
Bollinger: 52%
Sorgi: 55%
Bollinger: 176 YPG
Sorgi: 224 YPG
Bollinger: 13.9 YPC
Sorgi: 15.6 YPC
Bollinger: 66%
Sorgi: 58%
Bollinger: 16 TD/10 INT
Sorgi: 15 TD/10 INT
Bollinger: 44% on third down
Sorgi: 32% on third down
Bollinger: 10% sack percentage, 5.7 yard average loss
Sorgi: 11% sack percentage, 6.4 yard average loss
Bollinger: 71 YPG rushing, 6.3/carry, 10 touchdowns
Sorgi: 18 YPG rushing, 5.2/carry, 2 touchdowns
Bollinger: 247 total yards per game
Sorgi: 242 total yards per game
Bollinger: 23.8 PPG
Sorgi: 26.2 PPG
Bollinger: 72% to WR, 21% to TE, 7% to RB
Sorgi: 76% to WR, 22% to TE, 2% to RB
September 9, 2001
Bollinger: 52%
Sorgi: 56%
Bollinger: 163
Sorgi: 226 YPG
Bollinger: 13.6 YPC
Sorgi: 15.5 YPC
Bollinger: 62%
Sorgi: 56%
Bollinger: 10 TD/7 INT
Sorgi: 11 TD/5 INT
Bollinger: 44% on third down
Sorgi: 27% on third down
Bollinger: 13% sack percentage, 5.8 yard average loss
Sorgi: 11% sack percentage, 6.4 yard average loss
Bollinger: 72 YPG rushing
Sorgi: 17 YPG rushing
Bollinger: 235 total yards per game
Sorgi: 243 total yards per game
Bollinger: 22.4 PPG
Sorgi: 26 PPG
Bollinger: 75% to WR, 16% to TE, 9% to RB
Sorgi: 71% to WR, 26% to TE, 3% to RB
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State: Wisconsin
# of Players: 87
Avg Pt: 2.62
% Flameouts: 26%
% Starters: 46%
% Stars: 17%
COMMENT: About what you would expect from recruits in general. A solid group with about a third of all recruits washing out for various reasons. Most of the stars were linemen. The 46% of starters is a solid figure for 87 players, indicating that the heart of most Badger teams will continue to be Wisconsin kids.
State: Ohio
# of Players: 11
Avg Pt: 3.55
% Flameouts: 18%
% Starters: 64%
% Stars: 27%
COMMENT: Not as many players as you might think, especially in recent years though an astounding success rate. Not only have more than half of the Ohio players become starters, a 27% star rate is excellent. Ohio has been a key state in getting impact players, which tells you about the depth of football talent in Ohio.
State: Missouri
# of Players: 10
Avg Pt: 3.2
% Flameouts: 40%
% Starters: 60%
% Stars: 30%
COMMENT: What started as a peripheral state for the Badgers has become a key source of talent the last few years, replacing Ohio in many respects. The flameout rate is a bit high, however just about every other player has become a starter. With the loss of Cosgrove, this well may run dry.
State: Pennsylvania
# of Players: 14
Avg Pt: 2.79
% Flameouts: 29%
% Starters: 57%
% Stars: 14%
COMMENT: Not as many stars as from Ohio, but lots good solid blue collar kids who can play. PSU and OSU are very fortunate to have the recruiting bases they do, as there is a ton of talent in these two states.
State: New York
# of Players: 19
Avg Pt: 2.42
% Flameouts: 21%
% Starters: 47%
% Stars: 11%
COMMENT: New York was an early pipeline for Alvarez, particular the JUCO ranks. It has yieled a high number of starters, but not many impact players. Wisconsin seems to have revived New York last year with solid recruits in Bernstein, Lewis, and Goode. Many people don't realize that more recruits have come from New York than states like Ohio, Missouri, or Pennsylvania.
State: New Jersey
# of Players: 16
Avg Pt: 2.31
% Flameouts: 31%
% Starters: 31%
% Stars: 11%
COMMENT: Overall, a nice supplemental state, but one that did not perform quite as well as might have been believed given the recent semi-pipeline the Badgers have had to NJ. It has been a state that has supplied some key players, though not consistently. The numbers here are right about average.
State: Michigan
# of Players: 8
Avg Pt: 2.25
% Flameouts: 25%
% Starters: 50%
% Stars: 0%
COMMENT: Only a few players with decent success. Good percentage of starters but no stars to this point. Jonathan Orr still could be the first impact player from Michigan.
State: Minnesota
# of Players: 13
Avg Pt: 2.15
% Flameouts: 15%
% Starters: 38%
% Stars: 0%
COMMENT: Like New York, Minnesota was a key state for Wisconsin early in the Alvarez era, but its importance has diminished lately. Minnesota has a low flameout rate, but not a single star player has come from Minnesota. It has been a nice state for the Badgers in terms of building some depth but the Badgers have not been able to pull the studs out of the Gopher state.
State: Texas
# of Players: 8
Avg Pt: 1.88
% Flameouts: 38%
% Starters: 38%
% Stars: 0%
COMMENT: Texas recruiting has gotten hammered pretty good by some fans, but the results aren't as poor as you might think. It hasn't been a strong state by any means, but probably no worse than average. Due to the small numbers, the jury is still out. If players like Welsh and Brooks perform well this year, it could boost the numbers even higher.
State: Connecticut
# of Players: 4
Avg Pt: 4.5
% Flameouts: 0%
% Starters: 75%
% Stars: 50%
COMMENT: Great numbers but just a few players (Saleh, Diatelevi, Hawthorne, and Myers). Wisconsin doesn't venture here often, but the kids they HAVE gotten have been good. This is one of the states where you can pick and choose to pick off elite players.
State: Indiana
# of Players: 15
Avg Pt: 2.0
% Flameouts: 20%
% Starters: 20%
% Stars: 13%
COMMENT: Wisconsin has taken more players from Indiana than you might expect. The downside is that only 20% have gone on to become starters, a pretty poor percentage. Not a horrible group of players, but nothing special either. It appears the Badgers have chosen to abandon Indiana other than for fallback type players.
State: Colorado
# of Players: 4
Avg Pt: 2.0
% Flameouts: 25%
% Starters: 25%
% Stars: 25%
COMMENT: Just a few players with about average success. Pete Monty was the big one here. Not a state the Badgers recruit generally.
State: Hawaii
# of Players: 3
Avg Pt: 2.67
% Flameouts: 33%
% Starters: 67%
% Stars: 0%
COMMENT: One low average player, one good starter with star potential, and one flameout...pretty much what you would expect with three players.
State: California
# of Players: 20
Avg Pt: 1.45
% Flameouts: 35%
% Starters: 20%
% Stars: 5%
COMMENT: Wisconsin has worked hard to establish a pipeline to California, but thus far the players they have gotten just haven't been very good. Davenport is the only star and 40% flameout is too high. Wisconsin's decision to de-emphasize California seems like one that is solidly supported.
State: Illinois
# of Players: 43
Avg Pt: 1.33
% Flameouts: 51%
% Starters: 21%
% Stars: 5%
COMMENT: The second highest number of recruits but just horrible results. The worst flameout rate plus the fewest percentage of starters is pitiful. It is amazing that Wisconsin has done as well as they have with one of their supposedly most fertile recruiting areas being a near bust. Tony Simmons and Mark Anelli were the only two "stars". Ironically, the Illinois recruits have often been more highly rated than the Ohio or PA recruits. Cribbs, Daniels, Bell, and Smith are players to watch that could help Illinois' rating slightly.
State: Florida
# of Players: 9
Avg Pt: 1.56
% Flameouts: 44%
% Starters: 22%
% Stars: 11%
COMMENT: Just not good overall results. Like California, the only impact player has been a kicker. Erasmus James looks solid and Brandon White could help the numbers as well.
State: Georgia
# of Players: 5
Avg Pt: 0.6
% Flameouts: 40%
% Starters: 0%
% Stars: 0%
COMMENT: Easy to see why they no longer recruit Georgia.
For a complete listing of all the players, CLICK HERE.
Who is Faster, UCLA or Wisconsin?
-Kirk Herbstreit on the UW-UCLA Sun Bowl Matchup
Is this true? Conventional wisdom is that Wisconsin is a big slow physical team, while PAC-10 teams, and specifically UCLA, are based on speed and agility. On paper, this game looks to be the classic speed vs. power matchup that commentators invariably hang their hats on.
Let's see if this is accurate. There is a site on the Internet called CouchScout.com which I found out about yesterday. One of the nice features of the site is that it is an independent site which lists 40 times for all collegiate players. I decided to do a quick comparison
between the Badgers and Bruins. Who is faster? Where are the differences? Let's look position by position. (Note that I matched players up exactly, so the strong side LB of one
time is matched with the strong side LB on the other.)
(For a player by player listing, click here.)
DBs: Wisconsin is faster at all 4 positions (including Doering). Most are fairly close, but the edge is there for the Badgers.
LBs: Wisconsin is faster at two of three positions. Wisconsin has a slight edge at OLB (Knight), while UCLA has a solid advantage at MLB (Greisen). The other spot is solidly
for Jeff Mack. Edge slightly to Wisconsin.
DL: One of UCLA's linemen is not listed. Of the remaining three, UCLA gets the edge at strong side end (Kolodziej), while Wisconsin has the edge at DT (Bryant) and rush end
(Favret). Slight edge to Wisconsin here.
Overall, Wisconsin clearly has a faster defense than UCLA.
OL: Wisconsin gets the edge at center (Al Johnson) and one guard spot (Casey Rabach), but UCLA takes the other three spots, including big edges at the tackle positions. Edge to
UCLA 3 to 2.
BACKS: Wisconsin sweeps here. QB (Bollinger) gets a slight edge, but Bennett and Kuhns get huge edges. Wisconsin gets the backs.
REC: Chambers has a big edge on Poli-Dixon, while UCLA's TEs have a decent edge on Sigmund/Retzlaff. That brings us to Mitchell vs. Evans. Surprisingly, Lee is closer than I
would have thought, but UCLA gets the nod here, though very very slightly.
UCLA does get a very slight edge on offense depending on how you categorize it. However, for Herbstreit to babble about UCLA's great speed at the skill positions is pretty silly given Chambers and Bennett blow all the UCLA players out of the water.
CONCLUSION: The only real edge UCLA has is at the offensive tackle spot. Wisconsin has the edge in speed on the entire defensive side of the ball and in the offensive backfield.
Wisconsin is simply a faster team and the stereotype is NOT a valid one in this case.
Bollinger vs. Sorgi: Part Deux
As you know, I have been doing a running comparison of Jim Sorgi and Brooks Bolinger in order to support or discredit some of the many theories floating around about which QB is better in certain situations.
As the present time, we know the following: (all stats prorated)
Bollinger: 53% passer
Bollinger: 166 YPG passing
Bollinger: 13.9 YPC
Bollinger: 7.4 YPA
Bollinger: 6 TD/5 INT
Bollinger: 43% on third down
Bollinger: 14% sack percentage
Bollinger: 78 YPG rushing
Bollinger: 244 total yards per game
Bollinger: 21.5 PPG
Now, what I really wanted to do was control for the opposition. Which of these edges are legit, and which are contextually influenced? Which edges are smaller than they appear? Which are larger?
Let's take a look...
Bollinger: 53% passer
Comment: Bollinger's opposition has allowed 55% of their passes to be complete. Sorgi's opposition has allowed 61% of their passes to be complete. Surprised? I was. Sorgi has played both of his games against by far the two worst completion % defenses in the Big Ten in IU and PU. MSU is good, but does not bring his percentages down enough. Now, Sorgi still has an edge here. He is still 8% above "average" while Bollinger is 2% "below", but 10% (so to speak) is a lot closer than the 16% that it looks like on paper. So yes, Sorgi still has been more accurate, but the stat has been warped by the competition.
Bollinger: 13.9 YPC, 7.4 YPA
COMMENT: Bollinger's opponents have allowed 12.2 YPC and 6.7 YPA. Sorgi's opponents have allowed 11.7 YPC and 7.1 YPA. So, this one works both ways. Bollinger's edge in YPC is somewhat influenced by the opposition, as is Sorgi's YPA edge. Bollinger is still better with YPC, while Sorgi is still better with YPA, thought he gap narrows quite a bit. Both are above average.
Bollinger: 6 TD/5 INT
COMMENT: Bollinger's opposition has a TD/INT ratio of 86/60 (1.43). Sorgi's opposition has a TD/INT ratio of 34/15 (2.27). So, while Sorgi's ratio has been excellent to say the least, he has also benefitted by playing much easier teams with regards to passing defense.
Bollinger: 43% on third down
COMMENT: Bollinger's opponents have allowed 3rd down conversions 39% of the time, Sorgi's 41%. So, even though Sorgi has faced slightly easier competition in this regard, Bollinger has outperformed him by more than 10%. Big edge to Bollinger.
Bollinger: 14% sack percentage
COMMENT: Bollinger's opposition have sacked the QB 7% of the time. Sorgi's have sacked the QB 8% of the time. So, while I suggested earlier that the 14-11% difference may have been contextually marred, it appears it isn't. While the difference is small, Sorgi has avoided the sack better than Bollinger.
Bollinger: 244 total yards per game
COMMENT: This one was hard to think through given all the partial games in the mix. Still, Bollinger's opponents have averaged 312 yards per game (remember, adjusted for playing time), while Sorgi's have allowed 278 YPG. Sorgi's edge here is real. Bollinger is achieving about 78% of the average total. Sorgi 98%, a big difference. Now, how much of that is affected by other factors such as missing Chambers or whatever, I don't know, but it is a concern if you are a Bollinger backer.
Bollinger: 21.5 PPG
COMMENT: Bollinger's opponents surrender 19.6 PPG. Sorgi's opponents surrender 29.0 PPG. This one is huge huge huge. Bollinger is putting up almost 1.9 PPG MORE than the opponents typically allow in that time. Sorgi is also putting up more, but only 0.3 more. Kind of interesting given that the yardage totals are as they are. Bollinger is the man here though it appears (for now).
So, while there are still a LOT of misconceptions still floating around out there that are blatantly untrue, we still have some legitimate edges by both QBs in certain areas. However, the picture becomes much much clearer once we factor in the opposition. As a whole, Bollinger has faced tougher foes, which have accounted for SOME (not all) of the differences between the two QB's stats.
Bollinger vs. Sorgi
Obviously, one of the hot topics among Badger football fans has been the debate regarding Jim Sorgi and Brooks Bollinger. While Sorgi in particular has not played enough for us to determine exactly what his ability may or may not be, and Bollinger was hindered earlier in the year by a decimated supporting cast, and, while both have played against different opponents (is a game vs. Iowa the same as a game against Ohio State?), I thought I would take a whack at some quick analysis. Based solely on their play the latter half of the season, what have these games told on about what each brings to the table?
Who is the better passer? Why? Who throws more to which receivers? Who puts more points on the board? Who gets sacked more? How much is the running element worth? You get the idea.
First, I needed to decide which games to use. Obviously, Sorgi's sample size is going to be quite small so we really have to use everything we have on him. With Bollinger though, what is "fair"? How about the "concussion" game? How about games without Chambers? How about the mass suspension games? Since the results are going to be somewhat inconclusive anyway, I simply decided to use all of the Big Ten games, since most of the suspensions were served by this time and injuries are just part of the game.
How many points has the team scored with each at the helm?
EDGE: Slightly to Sorgi.
Completion percentage
If you take only the last two full and "healthy" games that Bollinger has played WITH Chris Chambers, his percentage rises to 62%. Still...
EDGE: Sorgi.
Yards per game passing
Again, only taking the last two full games with Chambers, Bollinger's numbers are a solid 251 yards per game, but still...
EDGE: Sorgi
Who is the better runner(non-sacks)?
EDGE: Big for Bollinger
Total yards per game (again, not including sacks)
EDGE: push, though I think stats like this lean more so towards passing QBs, but I will call it even (since part of my contention has been that Bollinger is not that far off if not equal to Sorgi as a passer).
Who gets the ball down the field more?
Despite Bollinger's well-known lack of a solid deep ball, he still has done a slightly better job of getting the ball down the field, thanks to more success with the medium range passes. This probably also accounts for the lower completion percentage.
EDGE: slight to Bollinger.
Who is the safer passer?
Obviously since Jim hasn't thrown a pick, he wins this category. To give you an idea of where he relates to Bollinger, if Sorgi threw a pick on his next throw, his ratio would be .02. Bollinger's is at .037, so actually it isn't that far off.
EDGE: Sorgi
Who is more adept on 3rd down?
Surprising here. Although 3rd down conversions is not solely the responsiblity of the QB of course, I do feel it is a general indicator of a QB's ability to make a play (hence Purdue leading the nation in this category). I would guess this stat tells us that Sorgi is more effective in early passing downs, while Bollinger is more flexible/adaptable, probably in good measure due to his running ability.
EDGE: Big to Bollinger.
Who's passes more often result in 1st downs?
Again, this reinforces the hypothesis that Bollinger is more effective throwing down the field as opposed to underneath.
EDGE: Bollinger.
Who gets sacked more?
Although I have been a strong proponent of Sorgi being immobile, the numbers do not support that it is a factor at the moment. Is Sorgi better at getting rid of the ball quickly?
EDGE: even.
Whose sacks cost more yardage?
EDGE: very slightly to Bollinger.
Where does each QB throw the ball?
Sorgi throws more to the tight end. Bollinger throws more to the receivers and backs. Total passes to the wide receivers is pretty close, which is surprising since the cliche is that Sorgi does more getting everyone else involved. This is true regarding the TE, but Bollinger actually throws to the backs more.
How about locking in to one receiver (specifically Chris Chambers)?
I don't see any difference here.
Sorgi: 46% of his completions are to Chambers.
Bollinger: 34% of his completions are to Chambers.
And who is it that supposedly locks in on Chambers?
Let's look at these numbers again. Ahhhhh...Chambers didn't play against NW, so let's take those numbers out and see what we have.
Bollinger: 43% of his completions are to Chambers.
Even taking out the NW game, there is certainly NO evidence that Bollinger locks in on a guy any more than Sorgi does.
CONCLUSIONS: I will let you make your final decision. But, I think it is safe to say that there are some real misconceptions out there. Bollinger is a better runner, which isn't a surprise to anyone. Sorgi is a better percentage passer and is less chancy with the ball, again, fairly obvious. However, the sack totals aren't all that different with either, nor is the point production which might come as a surprise to some. Bollinger gets the ball a little bit further down the field. Neither QB has shown a greater tendency to only involve one receiver in the passing game. Bollinger throws more to the backs and receivers, Sorgi more to the tight ends. Bollinger is more effective on 3rd down. Both QBs produce about the same yardage totals.
I suppose the bottom line is how you believe the QBs performance has been relative to their "true" ability? Do you believe Sorgi can continue to be a 64% passer? Because if you don't, he loses a major perceived edge he might have on Bollinger (unless you believe that he can suddenly develop a running game). Do you believe Bollinger is really that effective on 3rd down? Can he be more consistent as a passer, specifically in taking care of the ball? If you don't believe he can, then that might be an argument for Sorgi. If you believe that the Iowa or Ohio State games were more indicative of his passing ability, then that also might close the passing edge on Sorgi.
Natural Recruiting Bases
I have attempted to come up with a rudimentary scale for ranking each college football team's natural recruiting base. It certainly is an inexact science to be sure (as a close examination of the methodology will show), but in a very basic way it gives us a pretty good idea as to which schools really are sitting on a gold mine and which schools are always going to need to head out of state to either get good or remain good.
Essentially, the basis of the scale is to take the average number of D1 football recruits that come out of each state and divide it by the number of teams in that state. Now, this in itself can be problematic in that we are potentially confusing cause with effect. For instance, Ohio happens to have a large number of lower tier D1 schools (Ohio, Cincinnati, Akron, Bowling Green, etc.) Now, is Ohio's large number of D1 recruits each season simply because of outstanding talent, or because there are simply a lot of schools in Ohio (presuming they are always going to fill out their rosters with local in-state kids)? Or, is it a combination of both? Frankly, it is really a different question and one I have left for someone else.
The other factor I felt it was important to include was the overall strength of each program. In the Ohio example for instance, we know that Ohio State is much much stronger than say Kent when it comes to gaining the services of the Ohio talent pool. So, this is reflected in the rankings as well.
I will explain the ratings in greater detail in the coming days, but for now, it will suffice to know that a school is ranked based on how many D1 players are in their home state, how many other teams within the state they must "share" these players with, as well how strong each of these program is.
Here are the National Top 10 Recruting Bases
Here are how the Big Ten teams rank nationally. The higher the rating the stronger the recruiting base. The number following the Big Ten rank is their national rank. The number in parenthesis after the school name is their score.
Here is Part 3 of my Recruiting Base Strength study.
Before I give the entire rankings from 1 to 115, let me briefly explain how the numbers were derived.
First, each team was given a power ranking (RATING) from 1 to 6 based on their past and recent success, an attempt to measure their traditional recruiting strength. How much pull do they currently have with potential recruits? More emphasis was placed on recent success.
1=doormat or small run of the mill team from poor conference
From there, all D1 recruits from the last 10 years were grouped according to state (going on the premise that in-state schools have an edge in landing potential recruits) (TOREC)
Each state then received a value measuring how much power they had in each state (SCH PTS). So, for states with only one team like Wisconsin, the state value would be the same as the schools power value. States like Texas would have a much higher power value, indicating fiercer competition for recruits within the state.
Then, all the D1 schools in a particular state were "allocated" a certain number of recruits based on their power ranking (REC SHARE). So, if they had 50% of the states power ranking, they would be allocated 50% of the D1 recruits in a given year.
Take Iowa for instance. Iowa has a power ranking of 3 while Iowa State has a ranking of 2. That would mean that Iowa would be allocated 60% (3/5) of the recruits in Iowa while Iowa State would be allocated 40% (2/5).
Make sense? Again, I realize there are a lot of problems with measuring it in this way, but it is simply a preliminary look at a topic that is oft discussed but rarely measured.
For the all of the D1 rankings, click here.
The '99 offense...the best in Badger history?
October 18, 1999
Before you burst out laughing, let's take a look at how they compare with the best of all-time.
TOTAL OFFENSE: The '99 version of the Badgers is currently at 444 yards per game (up over 100 YPG from last year). If they were to continue this pace, only the '93 Badger team would top it (at 455 yards per game). Considering that only one of the remaining 4 opponents is a strong defensive team, this record is in jeopardy.
RUSHING OFFENSE: The '99 Badgers are at 273 yards per game. Again, this is the second highest totaly in school history, trailing only the '74 Badgers who ran for 288 yards per game. By comparison, the '93 Badgers ran for "only" 251 yards per game.
PASSING OFFENSE: At 170 yards per game, the numbers may not seem like much, but this total is actually 8th highest in Badger history. The '93 team threw for 204 yards per game, only 34 yards more per game than this year's squad, and about the same total for the Badgers since Bollinger took over.
POINTS SCORED: Wisconsin is averaging 35 points per game, the top mark in school history by some 3 PPG. The '93 team scored only 29.5 points per game.
TURNOVERS: The '93 team had 20 turnovers in 12 games, an average of 1.7 per game. The '99 Badgers have 9 turnovers in 7 games, an average of 1.3 per game.
I know it seems far fetched given some fans perceptions, but this offense is really really good (at least by the standard of Wisconsin offenses go).
Expected Win Totals
A number of years ago, baseball analyst Bill James came up with a simple formula which allowed one to examine just how lucky a particular team was in a season. It involved comparing the runs scored and the runs allowed of a particular team and resulted in what their expected winning percentage would be given the ratio between these two amounts. Sometimes, a team would outperform their expected results, and sometimes they
would underperform their expected results.
James also examined whether or not certain managers , through superior late game strategy, could consistently help teams overperform. The answer was no, that this phenomena is essentially random and based simply on luck and that there was not a correlation year to year with particular managers. (NOTE: This does not mean that some managers are not better than others. Rather, if one manager is better than another and
makes moves that help his team win, these results will show up in the run totals themselves....NOT in the difference between expected win totals and actual win totals).
This formula also holds true for football, substituting points scored and points allowed for runs scored and runs allowed. Simply stated, if a team plays 12 games and scores and allows the same number of points, their expected record would be 6-6. If they were able to go 7-5 while scoring and allowing the same number of points, it would show that they exceeded their expected win total and in fact were lucky (or unlucky if the
converse were true and the team went say 5-7). As the ratios tilt in either direction, the expected win totals move up or down accordingly.
Also note that because football has such a small sample size, the difference in actual wins and expected wins are often simply 1 game. If a team differs by MORE than 1 victory, it shows that they were extremely lucky or unlucky as the case may be.
OK, enough of the background and onto the Wisconsin data. I took a look at each season of the last four Badger football coaches. To show how exact the data is over time, the formula predicted that in those 21 years, the Badgers would go 113-123-6 while in
reality, the Badgers went 115-120-7. You can't get too much closer than that. These numbers universally pull towards the center and will always even out over time (since
subjectively we know that luck goes both ways). If we look at the overall data, we see that the Badgers have done very slightly better than expected over the years, indicating that
they have been just a tad bit luckier than expected.
Let's look at these year by year:
1978: Expected: 4-6-1 Actual: 5-4-2.
This acutally is among the luckiest season in recent Badger history, where a team expected to have a winning percentage of .393 actually finished over .500.
1979: Expected: 3-7-1. Actual: 4-7.
Both team achieved ever so slightly did better than expected.
1981: Expected: 7-5. Actual: 7-5.
This was the first season in which one of Dave McClain's teams underachieved, though obviously not significantly. This fluctuation is the norm. What comes up must come down.
A team that is lucky for a period of years, stands to be a bit unlucky the next year (or in the immediate future.)
1984: Expected: 7-5. Actual: 7-4-1.
Overall, McClain's teams should have been expected to go 43-44-6. They actually went 46-42-3, showing that they overperformed their expectations. In other words, they were just a little bit lucky.
In Hilles' one season...
1986: Expected 4-7-1. Actual 3-9.
The Badgers underperformed by a game and a half, a fairly significant amount in only 12 games. So, while Hilles had some problems in general, his case was made worse by some
bad luck. This made sense since the Badgers were due for some bad luck given the nice little lucky run by McClain. It is likely that they would have also underperformed under
McClain if he had still been the head coach.
On to Morton.
1987: Expected: 3-7-1. Actual: 3-8.
Morton's teams were just plain horrible and underperformed by half a game, not really significant.
Now, let's look at Alvarez's teams:
1990: Expected: 2-9. Actual: 1-10.
While not very good obviously, they also lost a game they shouldn't have (unlucky).
1991: Expected: 5-6. Actual: 5-6.
Again, they underperformed by one game in '92. Anyone who remembers that season knows they were very very close to going 6-5 if they had gotten a few lucky bounces in the Iowa, Illinois, or Northwestern games. But...no good luck in the last 8 years. If
someone would have looked at these numbers back then, they would have known that there would be an EXCEPTIONAL chance of an overperforming season next season.
1993: Expected: 9-3. Actual: 10-1-1.
To be expected, the '93 Badgers, while an excellent team, outperformed their expectation by a game and a half, turning a really good season into a great season. Again, this follows
the trend of unlucky one year, lucky the next.
1994: Expected: 8-4. Actual: 8-3-1.
Again, slightly lucky, but about what was to be expected given the team as a whole had been slighty unlucky over time.
1995: Expected: 5-6. Actual: 4-5-2.
Since the Badgers most recent trend was to be lucky, the odds were that an unlucky year was coming, and that is what happened as the '96 team underperformed by a game.
1997: Expected: 6-7. Actual: 8-5.
A hugely hugely lucky season which makes sense considering that the Badger eeked out every close game and were blown out in the losses. You simply aren't going to find too many 8-5 teams which allow more points than they score.
1998: Expected: 10-2. Actual: 11-1.
A surprise given that '97 was also a lucky year. As I will get to in a moment, this is actually a bad sign for this coming season.
In Alvarez's era, his teams were expected to go 60-46. In reality, they have gone 60-42-4. So, they have been very very slighty lucky overall, but are due for an unlucky season
based on two straight lucky seasons.
(Remember, by lucky I do not mean that the team was not good. Lucky only refers to how their record compared to what their record should have been given normal statistical analysis. Teams that go 1-10 can in theory be lucky, while undefeated national champs can also be lucky as defined in this way.)
CONCLUSION:
As mentioned, the odds are that while the Badgers on paper could be a better team in '99, they are going to have to fight fate in a sense. This does not mean they cannot be an excellent team. However, hypothetically if the Badgers have their same ratio of
points scored to points allowed as they did last year (and it was an excellent ratio), luck would dictate that a 9-3 season would be likely. So, if they are to once again complete an
11-1 type season, they are going to have to be significantly better than last year given that they have been very lucky over the last two seasons and the odds of three in a row are not
terribly great.
To give an idea of what this will actually take, let's maintain the defensive points allowed statistic (since I think it is virtually impossible that they improve on this number,
even though the defense could be better overall).
To overcome the luck AND maintain say an 11-1 record, the Badgers would need to score in the neighborhood of 600 points, which factors out to about 50 a game. Sorry, but that just isn't going to happen.
A more likey scenario is that they have a similar season (or even slightly better) AND have the bad luck that is coming their way, and finish 9-3 or so.
Or finally, if they have a similar season AND hope that the bad luck simply holds off for another year (because I promise you it will come eventually), they could once again go 11-1 or 10-2 or so. Remember that Wisconsin did have a stretch of 8 years without a lucky season, so it is not impossible to continue their good fortune, just unlikely.
Frankly, statistically speaking, the odds are very very strong that a 9 or 10 win season is about tops of what we can expect (though stranger things have happened and who says 10 wins is too shabby anyway?).
For the record, at the moment I have been predicting 9-2 (not including their bowl game).
What Should We Expect Following a Ten Win Season?
I was over on the Northwestern board in a little debate about what realistic expectations
for them might be this year. A couple of extreme optimists were of the opinion that an 8-3
or 7-4 record was possible, with a 6-5 record relatively probable. Their rationale was some
some anti-Barnett rhetoric (he blew it last year, etc.) along with a few personnel issues
(better OL for instance).
While I told them I appreciated their optimism, I told them that teams just don't go from 3
wins to 8 wins all too often and a better indicator of success might be a 4 or 5 win
season.
I then went back to 1950 and found all the Big Ten teams who had won less than 4 games
in a season and then looked at how they did the following year. Well, as you might guess,
the numbers were pretty bad in terms of Northwestern's odds this year. The "odds" of
them winning even more than 6 games was something like 10% (you will have to check
their board for the exact numbers).
Well, of course that got to thinking. What about teams that win 10 or more games in a
season. Do they generally repeat? Is there generally a fall off?
Let's take a look.
Since 1950, there have been 420 seasons in which a team has won 10 or more games.
Here is how they did the following season:
Won 10 or more again: 37%
So, if you just look at these numbers, the Badgers have about a 53% chance of winning 9
or more games again this year.
The average win total was about 8.5 for these teams.
Are we done? Not quite. What I realized when I was going through the numbers is that
there were really two kinds of teams: one year wonders and teams that have at least a
consistent history of accomplishing such a feat. There are programs that are on solid
ground and are used to winning and then there are teams where the stars align and the ball
bounces their way and they win their 10 only to fade back to reality.
I defined the schools in the following way:
Schools that have NOT won 10 or more game in at least five years are the "upstarts"
while schools that HAVE won 10 or more games in at least one of the previous five
seasons shall be called the "traditional powers".
Now, realize that sometimes a school might rise to strength for TWO years (classifying
them as a power) and then fade, though without getting into the gory details, I assure you
that it works out in the end and this is not a deterrent in this analysis.
Here is how the two groups turned out:
Here is how the "Upstarts" did the following season (165 samples):
Won 10 or more again: 20%
Now, here is how the Traditional Powers did the following season (255 samples):
Won 10 or more again: 47%
What jumps out at you right away is that first number. Whereas teams winning 10 or more
games for the first time only repeat 20% of the time, teams that have done it more than
once in the previous five seasons repeat their accomplishment more than twice as often,
47% of the time.
Whereas the Upstarts only win 8+ games 54% of the time in the following season, the
powers win 8+ games the following season 78% of the time. You get the idea.
While the "Upstarts" only average 7 and a half wins the following season, the "Powers"
average a little over 9 wins the following season.
Now, let's look at the 1999 Wisconsin Badgers.
In 1993, the Badgers were considered upstarts, as they had no immediate history of
winning 10 or more games in a season. History would suggest that they would win 7-8
games the following season. Of course, we now know in hindsight that this is exactly what
happened as the 1994 Badgers won 7 regular season games and one more in their bowl
game, fitting them in very nicely in historical terms.
The 1998 Badgers on the other hand, by virtue of their 10 win season 5 years earlier, fit
into the "Power" category (don't get your undies in a bundle, it is just a label and I am not
suggesting that they are yet a national power, just that they have shown they can win 10 or
more games in a season).
As such, their odds are about 50/50 for winning 10 or more games again this year, with a
likely finish of 9 wins.
So, if you see someone offering you pretty heavy odds against a repeat performance of
winning 10 games, it might be a pretty decent bet based on the last 50 years of college
football .
To those predicting a return to 7 or so win, there is only about a 20% chance of that
happening, so I would invest elsewhere.
These numbers really only back up what we probably know by using common sense, but I
think sometimes it is interesting to see the numbers and see EXACTLY how they shake
out.
How Bad HAS Wisconsin's Overall Schedule Been?
The Wisconsin football schedule, specifically the non-conference portion has drawn the wrath of national media members, opposing fans, and even fellow Badger fans. Yesterday, I posted stats that showed that Wisconsin in fact played a tougher Big Ten schedule than Michigan State over the past 6 years.
This was done to refute some Sparty fans claim that Wisconsin's success in conference was due in part to their cush schedule. Well, as it turned out, the egg was on the Sparties as Wisconsin's conference schedule ended up being more difficult than theirs.
Well, then the Sparties chimed in with the claims of the OVERALL difficulty of schedule being slanted heavily towards Wisconsin (in terms of easiness). This of course has been a consistent slam on the Wisconsin program...that they compile impressive records by playing dregs in the non-conference and padding their record.
MSU supporters also added that due to a "much" tougher NC schedule, that this played an adverse part in the Sparties Big Ten play (more banged up, emotionally drained, etc.).
They also threw in the fact that MSU generally beats better teams...that essentially they have a higher ceiling of capablity.
Therefore, I wanted to continue the discussion, this time looking at the complete schedules, including the non-conference portion. I used MSU, since some MSU fans seem to leading the anti-Badger charge, and Michigan, who is generally considered to consistently have the best overall schedule in the Big Ten.
Well, as always, let's look at the numbers with these key questions in mind:
1.) Does Wisconsin in fact play an easier overall schedule than Michigan and Michigan State?
2.) If so, how much tougher have the MSU and Michigan schedules been and how has Wisconsin done against similar competiions as MSU and UM have allegedly been playing?
3.) Is this difference in competion enough to explain the difference between WIS and MSU's overall record in the last six years (Wis leads 48-21-4 to 36-34-1) and what would MSU's or UM's record be playing Wisconsin's schedule?
First, how to evaluate schedules? Unlike conference records, where opponents W/L percentage can be used (since all the data is taken in the same context), winning percentage in non-conference games is pretty useless since some teams can compile
vastly different records depending on the strength of THEIR schedules. In short, an 9-2 SEC team is not equivalent to a 9-2 WAC team.
So instead, I am using end of the year power rankings. The particular equation I am using is the Howell computer power rankings. They are very similar to Sagarin's ratings with a
few slight differences. I am using these as they are readily available to me for the last umpteen years worth of seasons.
First, here is the average strength of opponent over the last 6 years:
Wisconsin: 47
CONCLUSION: Wisconsin has in fact had the easiest overall schedule in terms of average strength of opponent over the last six years. Michigan has played the toughest schedule of the three, though by a pretty small margin over the Spartans.
This brings us to question #2: what exactly do these numbers mean. Is this a significant difference? How has this difference affected records?
What I did next is broke it down into tiers: how did each team do against different levels of teams? Has Wisconsin not played the elite teams as often as Michigan or Michigan State? Is it a problem at the bottom end? Has MSU been the better team but had this fact hidden by the tougher schedule?
Here is the data:
Record against Top 10 teams:
Michigan: 6-7 (.462 winning percentage)
CONCLUSION: Wisconsin had played EXACTLY THE SAME NUMBER OF GAMES
VS. TOP 10 TEAMS as has MSU over the last 6 years. Wisconsin has also fared better in these games than have the Spartans. Michigan has played 2 more games vs. Top 10 schools over the last 6 years with more success than either WIS or MSU.
Record against teams 11-20:
Michigan: 8-4 (.667)
CONCLUSION: Michigan has done pretty well against top level (though not elite) teams over the years. Wisconsin has played the exact same number of teams 11-20 over the last 6 years, and has held their own with a .500 record. MSU however, while playing 3 more of these games (meaning 1 every two years) has been dreadful in such games, getting pretty much hammered.
Combining these two figures into one stat (Top 20 teams), we get this:
Michigan: 25 games (14-11 record , .560)
CONCLUSION: Contrary to popular belief, all three teams have played about the same amount of games vs. Top 20 teams. Michigan clearly has been the best team against upper level teams, Wisconsin has done OK (nothing special), while MSU has gotten
drilled.
Looking for a win vs. an elite team, better look to the Wolverines first, Badgers second, and you had better stay far far away from the Sparties.
OK, how about the solid, mid level teams?
Teams ranked 21-40:
Wisconsin: 8-4-2 (.667)
CONCLUSION: Wisconsin actually has the best record of the three vs. the upper middle type teams. Michigan has played the most games vs. such teams, with Wisconsin #2. Michigan State has played the fewest games against upper middle teams and still have
not reached .500 against any group of teams we have looked at yet.
Combined totals (records vs. teams 1-40)
Michigan: 44 games, 26-18, (.591)
CONCLUSION: Well Spartan fans...I hate to say it but your theory is totally shot. Wisconsin has played EXACTLY the same number of games vs. top 40 teams, with much more success.
Just for your info, let's continue:
Teams ranked 41-60 (lower middle teams):
Michigan: 10-0 (1.000)
CONCLUSION: Hey, MSU finally got over .500 against somebody, though still way behind Michigan's impressive record and also behind Wisconsin's. MSU played 11 such games while Wisconsin played 7, a slight difference, though considering what teams we
are talking about is hardly a big deal. (but we will take it into account later)
Now, for the bottom feeders (Teams ranked 61+):
Michigan: 19-1 (.950 )-FYI-the one loss was against Purdue
CONCLUSION: MSU finally dominates on somebody, though they are STILL behind Wisconsin and Michigan. Wisconsin has played the most games against such teams with 29, as opposed to 22 from MSU and 20 from Michigan.
Take the 5 games from the previous set of data to MSU's "credit" and you are left with 2 "extra" games, basically saying that Wisconsin played two games against cupcakes when MSU wasn't playing anybody (let's call those the two Hawaii games).
CONCLUSION: Wisconsin beats MSU in EVERY SINGLE BREAKDOWN, regardless of who the opponent was. It simply doesn't matter, Wisconsin has been a better team againsnt great, good, average, and poor teams. By the same token, Wisconsin only beat
Michingan in one category. Michigan clearly is the best of the group with Wisconsin a very clear second.
Not only did Wisconsin play better against good teams, but they have also played roughly the same number of games against good teams as has MSU. They have played the same number of games against Top 40 teams, and against Top 10 teams. MSU has a very slight edge (3 games) against teams 11-20 but Wisconsin makes it up on teams 21-40.
WISCONSIN SIMPLY PUT HAS NOT PLAYED A SIGNIFICANTLY WEAKER
SCHEDULE THAN MICHIGAN STATE IF YOU ARE ONLY CONSIDERING TOP
TEAMS!!!!!!!!!!
Both teams have however played a very slightly less difficult schedule than Michigan in the same time frame. However, this edge essentially amounts to one game a year.
So, basically both MSU AND WIS are playing a bottom feeder while Michigan is playing one Top 40 (note...not top 10 or even top 20) team. While this COULD be a difference, at most it is one win a year every other year for Wisconsin (based on their
winning percentage against each group) and about 2 wins every 3 years for the Sparties.
So, if all this info basically matches up between MSU and WIS, how did MSU's average opponent rank higher than Wisconsin's (way back at the beginning)?
Well, the answer is easy actually. Whereas Wisconsin has played some really bad stinkers (ranking in the 100's) at times, MSU generally has ALSO played a bottom feeder, though ones not quite as bad (usually in the 80's). This "playing the better bottom feeder" has basically served to give MSU the edge in terms of average strength of opponent. Since both teams clean house against these scrubs, it really hasn't mattered at all in the grand scheme of things.
Now, for the final question: what would Michigan's and Michigan State's record been if playing Wisconsin's schedule?
First Michigan State:
Each team played 11 games against top 10 teams, so those record hold.
MSU'S HYPOTHETICAL RECORD: 1-10
Next, against teams 11-20, MSU played three more games than Wisconsin. Let's take out those 3 games and put them into the "mystery games" (meaning game of unknown result) category. Those 3 games all likely were losses (based on winning percentage), leaving MSU's HYPOTHETICAL RECORD at 4-19 (with 3 "mystery games").
Next, games 21-40. Wisconsin played 3 MORE of these games than MSU. So, to even things out, put the 3 "mystery games" that MSU had banked here. Based on winning percentage, 1 of these games would now become a win, while the other 2 would remain losses.
MSU'S HYPOTHETICAL RECORD: 10-27.
In games 41-60, MSU played 5 more games vs. these teams vs. Wisconsin. So, put these 5 games into the "mystery games" category. Of these 5 games, 3 would be wins and 2 would be losses.
MSU'S HYPOTHETICAL RECORD: 14-29-1
In games against teams ranked 61+, WIS has played 7 more games than MSU. First, those 5 "mystery games" are added to this category. Throw in the 2 games that Wisconsin played that MSU didn't, and you get a total of 7 games added against lightweights. 6 would be wins, 1 would be a loss.
MSU'S HYPOTHETICAL RECORD: 40-32-1
So, compare this to MSU's actual record of 36-34-1 and you see that MSU would in fact have been a bit better, in fact gaining 4 games over 6 years.
Wisconsin's record over that time: 48-21-4.
CONCLUSION: MSU would indeed have a better record if they had played Wisconsin's schedule. However, the net difference would NOT be enough to make up the difference in their records. MSU would still be 8 games behind, which comes out to a bit more than
1 win per year.
Let's put this complete fallacy to rest once and for all. The facts just do not back up the Sparties cries. WISCONSIN'S OVERALL SCHEDULE, WHILE SLIGHTLY WORSE ON AVERAGE THAN EITHER MICHIGAN'S OR MSU'S, IS NOT A MAJOR FACTOR IN THEIR SUCCESS....JUST A FEW GAMES EVERY 5 OR 6 YEARS.
Now, let's try this with Michigan.
Michigan has played 13 top 10 games. Wisconsin has played 11. Michigan gets 2 to the "mystery games" column. 1 would be a win. 1 would be a loss.
MICHIGAN'S HYPOTHETICAL RECORD: 5-6
Each team has played 12 games against the 11-20 teams, so these results stay the same:
MICHIGAN'S HYPOTHETICAL RECORD: 13-10.
Against teams 21-40, Michigan played 5 more of these games than Wisconsin. So, they get to add these to the "mystery game" column, for a total of 7. Of these games, 3 would be wins, 2 would be losses.
MICHIGAN'S HYPOTHETICAL RECORD: 22-15.
In the 41-60 range of teams, Michigan played 3 more than Wisconsin. Again, add them to the "mystery game" column, for a total of 10. All would be wins.
MICHIGAN'S HYPOTHETICAL RECORD: 29-15
Finally, we have the games against the scrubs, teams 61+. Wisconsin has played 9 more games than Michigan against these teams. So, take 9 of Michigan's "mystery games" and put them for Michigan here (against the cupcakes). All would be wins.
MICHIGAN'S HYPOTHETICAL RECORD: 57-16.
The final game would be thrown out (since we are matching Wisconsin's schedule).
Michigan's actual record in this time was 55-19. So, they would gain an additional 2 wins in 6 years while losing 1 loss.
Why the rather limited gain? Easy again. It is because in many of these games, Michigan WON ANYWAY!!! Moving a game against a #38 team (probably a win) and making it a game against a patsy UNLV team at #110, still results in a win.
Basically speaking, Wisconsin HAS had an easier schedule, but the statistical impact is virtually nill.
It does serve to show exactly how each team measures in relation to each other since we have now controlled for strength of schedule.
THE NEW NUMBERS:
I have always said that Wisconsin has been creeping up on Michigan in terms of overall level. While they are improving, they certainly have a ways to go (.085 % points) and I
think my comment in that regard may have been premature. However, I am even more steadfast in my conclusion that Wisconsin is a legit step above MSU (.140 % points).
So, while I will be overjoyed as will most Badger fans when the Arizona's and North Carolina's do finally come to our schedule, you must also realise that much of the "noise" over the Badgers strength of schedule has been unwarranted. Is it slightly worse? Sure, but not significantly.
If you are truly a masochist and would like to see more of the data for this study, Click here. Note, that there aren't any explanations so some of the notes and numbers may not make sense (you have been warned.
Does Wisconsin's Style of Play Cause Opponents to Have a Tough Time the Following Week?
An interesting topic of debate in some circles has been whether or not playing Wisconsin and their smash mouth style of play has any lasting effects for their opponents in following weeks.
In particular, some Penn State fans have wondered whether or not their poor play following Wisconsin games has anything to do with the physical nature of the Badgers, or is simply a coincidence.
Well, as always, let's find out.
I went back to 1991 and determined the record of all the Badger opponents in the week following the Badger game and compared it to their record overall. I did not include final regular season games nor bowl games for the obvious reason that there was no opponent for them to play in the following week. However, I did not have information on bye weeks so if a team played their next game TWO weeks after the Badger game, it is probably included. I did however exclude those game with special circumstances that I knew about.
Here are the results by year:
1991: 5-4 in games following Wisconsin.
Overall, since 1991 in games following the Wisconsin game, Wisconsin opponents have combined for a record of 39-41 which is a winning percentage of .488.
In the other games that these particular teams played, their record was 421-410 for a winning percentage of .507.
CONCLUSION: Wisconsin opponents DO lose slightly more in weeks following Wisconsin than in their other games. However, the difference (.019) is probably statistically insignificant and I don't think by any means we could conclude that it is a firm trend.
Case closed? Well....maybe.
What struck me was how that record changed the last two seasons. Over the last two seasons, Wisconsin opponents are a combined 3-19 in weeks following Wisconsin games.
Coincidence? Maybe, but 3-19 (a winning percentage of .136) is pretty extreme.
A subjective theory? How about this?
In Alvarez's early years, the team did not rely as much on the style of play they have come to rely on the past three seasons, in large part to Mike Samuel's troubles throwing the ball. Even when they were a good team, they had an average to even above average passing game, thereby not depending quite as much on jamming the ball down the other teams' throats.
Then we have the Ron Dayne factor. As physical as Brent Moss was, at his size he just could not deliver the punishment that Ron Dayne can. Might Dayne play a significant role in wearing down an opponent for the following game?
Let's adjust the numbers like this....
Pre Dayne/Samuel: Wisconsin opponents were 30-18 (.625 percentage) in the week following Wisconsin.
Dayne/Samuel era: Wisconsin opponents were 9-23 (.281 percentage) in the week following Wisconsin.
Now that is a MUCH stronger argument IMO. I don't quite know if it is conclusive (the data set is still fairly small), but it certainly gives you something to think about.
Has Wisconsin Lucked Out In Their Conference Schedule?
Over on the VictorsValiant board, we were discussing the relative power of the Big Ten in terms of overall record the last six years.
I posted some numbers to show how Wisconsin compares to some of the other schools, in this case Michigan and Michigan State. I listed Michigan to see how far away or how close Wisconsin is to
becoming one of the elite teams in the conference, and Michigan State to show whether or not Wisconsin was a step above them in the league hierarchy (which many MSU fans will argue with).
Overall, here are the cumulative records over the last six years in conference play....still the best measure when comparing teams head to head.
Michigan: 35-13 (.729%)
(NOTE: For discussions sake, Wisconsin lost to MSU in '95, but it is in the books as a win due to MSU forfeiting the game. In this argument, I have left it as a MSU win.)
At this point, a number of posters added that these record are NOT directly comparable, because Michigan plays all of the big guns every year, while Wisconsin NEVER plays all of the "Big Three" in any year, with MSU somewhere inbetween, thereby skewing the records. In particular, some MSU defenders claimed that MSU has played a much tougher CONFERENCE schedule over the years (again...due to Wisconsin "getting lucky" with who they miss in a particular season).
So, let's find out if this explanation has any validity or not.
Here are the raw numbers of opponents winning percentage in Big Ten games (that is....what is the record of the teams you are playing).
Michigan opponents: 183-192-9 (.488%)
CONCLUSION: Michigan HAS in fact played the toughest schedule of these teams over the last six years, but in fact Wisconsin has played a TOUGHER schedule than MSU, making their advantage in winning percentage over MSU more impressive. However, the edge in schedule strength is very slight.
Michigan, playing the so called cream of the crop every year, has only a 5 game in 6 year(opponents wins) advantage over Wisconsin, a team that supposedly skips one tough
team each year.
Now, is the issue dead? No it is not. Let's say a team goes 8-0 in conference play as the '97 Wolverines did. Compare them to say a team that goes 0-8 like Northwestern last year. Michigan's opponents are going to be at an immediate 8 game disadvantage,
because they were 0-8 against Michigan. Northwestern opponents meanwhile, are going to look even tougher because they went 8-0 against a hapless Northwestern team. Catch my drift?
So, to adjust for this, what I did is I took out all games that the team in question themselves played in. So, Michigan is ONLY evaluated on how its opponents did in game OTHER THAN against
Michigan. Otherwise, a good team is always going to be penalized more than a bad team, because they are going to worsen their opponents record by beating them silly.
So, here are the revised records of their opponents in games not including "them".
Michigan opponents: 170-158-9 (.518%)
CONCLUSION: The Michigan opponents take a legit step up when you take out all their losses to Michigan themselves. They definitely have played a tougher conference schedule than either MSU or WIS. Still, the gap (about 3%) is not nearly enough to prove that the difference is terribly significant, probably not worth more than a game every third year or so.
MSU on the other hand, continues to have the weakest conference schedule, falling 5% behind Michigan and 2% behind Wisconsin.
Again, a factor, but not a big one.
Now, how could this happen (such close numbers) if Michigan is always playing such a tough schedule and MSU seemingly plays the "Big Three" more than Wisconsin does?
The answer is pretty easy actually.
First, in Michigan's case, they are ONLY playing TWO of the Big Three every year at most....since obviously they can't play themselves. This matches up exactly with Wisconsin in recent history and is actually lower than MSU, who in some years has
played 3 games against the Big Three.
Then how does MSU fall so far back?
Well first, they don't play the Big Three every season. They have missed OSU in '95 and '96 for instance, leaving them with only 2 games against the Big Three in these years which is the same as Wisconsin and Michigan.
Secondly, AND MOST IMPORANTANTLY, the Big Three are not always the best teams in the conference. Michigan, for one, spent about 4 straight years at 5-3, finishing in the 3 or 4 spots in the conference. Penn State was #5 this past season.
In some years, Wisconsin is one of the Big Three. In others, it has been NW. So, when you say MSU had to play Michigan every year, in some years, that was actually a BREAK since it meant they may have missed an undefeated NW team.
For example, MSU missed out on Illinois in '93 and '94, both Illini bowl teams . They missed both OSU and an undefeated NW team in '95. In '96, they missed OSU again, ND a 7-1 NW team. IN '97, they didn't have to play bowl bound Iowa, nor bowl bound
Wisconsin. You get the picture.
If anything, folks should be crying that the SPARTANS have had the easy schedules, missing one and usually two bowl teams ALMOST EVERY SEASON SINCE '93. This is why the numbers show what they do.
So, to sum up, of the three teams mentioned here, Michigan has the best record despite playing the toughest conference schedule. They certainly have earned their place among the
top of the conference.
Wisconsin, despite playing a HARDER conference schedule than MSU, has a better W/L record, proving at least in my book that they deserve the claim of being a step up from MSU. Wisconsin's record still does not match that of Michigan however.
Their schedule however, while easier than Michigan's, is not substantially easier.
MSU played the easiest schedule and had the worst record. What more can you say?
What I think this study really shows is that things balance out from one year to the next. While one team may have a great schedule one year (OSU and WIS last year), these things even out over time for the most part which makes comparison of conference records over a period of years a pretty easy process.
In the near future, I hope to tackle the issues of non-conference scheduling, since that is a topic that the Badgers get really hammered on in terms of national exposure.
Click here to see the data on this study.
1992 Badgers vs. 1997 Badgers
Someone on the Badgerboard raised the question of comparing the '92 Badgers with the '97 Badgers, to see if a realistic run at 10-1 or something heady like that is possible. The concern of course stemmed from the fact that the Badgers got hammered by Syracuse, Penn State, and Georgia last year. How DID the '92 Badgers fare? What if any indications did we have that '93 might be our year? Let's take a look. For each '92 game, I game a '97 game that was very similar.
Loss at Washington 10-27 (This game was similar to the Syracuse game in '97. The Badgers did fare a bit better in '92 though as they hung in there in Seattle).
Win vs. Bowling Green 39-18 (Very similar to the San Diego State game, a solid if unspectacular win).
Win vs. Northern Illinois 18-17 (Holy Boise State Batman...amazing similarity in beating a terrible team by one at home).
Win vs. Ohio State 20-16 (Similar to the Iowa, a close win at home against a decent team).
Loss at Iowa 22-23 (Similar to the Michigan game of last year.The Badgers hang in the game but suffer a tough loss. They loose by a few more points in '97, attibutable to the superiority of the '97 Michigan squad as compared to the '92 Iowa team. Concidentally, both games hinged on the Badgers inability to stop the opponent on third or fourth down in clutch situations.)
Win vs. Purdue 19-16 (Similar to Indiana, a close win against a poor team).
Loss at Indiana 3-10. (This game really doesn't match up with any in the '97 season if you insist on going game for game. It kind of goes along with the Iowa, NW, etc games in that the Badgers had their chances, but just couldn't pull it out. The only game that is left in a direct comparison of seasons is Purdue...but of course the Badgers never had a shot in that one.)
Loss vs. Illinios 12-13 (Similar to the Minnesota game, a close game against a rival. In '92 a loss, in '97 a win).
Loss at MSU 10-26 (Similar to the Penn State game, the Badgers were never really in the game and both scores could have been worse).
Win vs. Minnesota 34-6 (Similar to the Illinois game, a convincing win against a bad team.)
Loss at NW 25-27 (Very similar to the NW game in that the game was decided by a late fumble..in '92 it was Burns).
I think the seasons are incredibly similar. The only difference is that the '92 team didn't win the squeakers against NW, ILL, and Iowa (whereas in '97 they did) nor did the '92 team have the "opportunity" to get slaughtered by a good Geogia team in a bowl game. The '92 team could have been 7-4, 8-3 if they would have gotten the breaks, just as the '97 team could have been 5-7 without them.
The other obvious similarity is in the youth of each team, espcecially in the lines. Each team was playing a lot of younsters. Each team had a QB that had some experience but hadn't knocked anyone's socks off yet. The '92 team showed the value of experience and how a team will ususaly improve a great deal from one season to another with most of their players back with experience under their belt. Whether the '97 team can take that step in an unknown, but the '93 team did it with arguably less talent.
"This matchup will pit the speed of the Pac-10 against the brawn of the Big Ten. Two years ago this was the Rose Bowl matchup and it's similar this time around. UCLA has tremendous speed at the skill positions against a Wisconsin team whose strength is on the
defensive line and in the secondary."
Sorgi: 69% passer
Sorgi: 243 YPG passing
Sorgi: 12.4 YPC
Sorgi: 8.4 YPA
Sorgi: 6 TD/0 INT
Sorgi: 31% on third down
Sorgi: 11% sack percentage
Sorgi: 28 YPG rushing
Sorgi: 272 total yards per game
Sorgi: 29.3 PPG
Sorgi: 69% passer
Sorgi: 12.4 YPC, 8.4 YPA
Sorgi: 6 TD/0 INT
Sorgi: 31% on third down
Sorgi: 11% sack percentage
Sorgi: 272 total yards per game
Sorgi: 29.3 PPG
October 30, 2000
With Sorgi, the Badgers are scoring 5.2 pts. per quarter.
With Bollinger, the Badgers are scoring 4.7 pts. per quarter.
Sorgi: 64%
Bollinger: 53%
Sorgi: 226 yards
Bollinger: 167 yards
Sorgi: 7 carries, 18 yards, 2.6 per carry, 12 yards per game
Bollinger: 46 carries, 296 yards, 6.4 per carry, 66 yards per game.
Sorgi: 238 yards per game.
Bollinger: 233 yards per game.
Sorgi: 12.1 yards per completion.
Bollinger: 13.2 yards per completion.
Sorgi: 0 inteceptions vs. 3 TDs.
Bollinger: 4 interceptions vs. 4 TDs.
Sorgi: 4 for 23, 17%.
Bollinger: 32 for 74, 43%
Sorgi: 14 passes, 50% of his total completions.
Bollinger: 37 passes, 65% of his completions.
Sorgi: 8 total sacks, 15% of his passes.
Bollinger: 19 sacks, 15% of his passes.
Sorgi: 8 sacks for 56 yards, 7 yards per sack average.
Bollinger: 19 sacks for 114 yards, 6 yards per sack average.
Sorgi: 68% to the wide receivers, 29% to the tight ends, 4% to the backs.
Bollinger: 74% to the wide receivers, 14% to the tight ends, 12% to the back.
Sorgi: in his two games, he has completed passes to 6 different receivers and 4 different receivers.
Bollinger: in his 5 games, he has completed passes to 7, 6, 5, 0, and 4 receivers.
11% of his completions are to Davis.
18% of his completions are to Anelli.
11% of his completions are to Sigmund.
11% of his completions are to Evans.
4% of his completions are to Kuhns.
9% of his completions are to Kuhns.
16% of his completions are to Evans.
25% of his completions are to Davis.
5% of his completions are to Retzlaff.
2% of his completions are to Anelli
2% of his completions are to Sigmund
7% of his completions are to Bennett
11% of his completions are to Kuhns.
14% of his completions are to Evans.
20% of his completions are to Davis.
5% of his completions are to Retzlaff.
2% of his completions are to Anelli
2% of his completions are to Sigmund
2% of his completions are to Bennett
May 21, 2000
2=bad team from a good conference or a decent team from a bad conference
3=good team from a bad conference or a mid-level team from a good conference
4=good team from a good conference
5=borderline elite, a team that is among the nation's strongest in some years
6=elite power team
August 13, 1999
1980: Expected: 3-7-1. Actual: 4-7.
1982: Expected 7-5. Actual: 7-5.
1983: Expected 7-3-1. Actual: 7-4.
1985: Expected: 5-6. Acutal 5-6.
1988: Expected: 1-10. Actual: 1-10.
1989: Expected: 2-9. Acutal: 2-9.
1992: Expected: 6-5. Actual: 5-6.
1996: Expected: 9-4. Actual: 8-5.
July 14, 1999
Won 9 games: 16%
Won 8 games: 15%
Won 7 games: 12%
Won 6 games: 7%
Won 5 games: 5%
Won 4 games: 5%
Won 3 games: 1%
Won 2 games: 1%
Won 9 games: 15%
Won 8 games: 19%
Won 7 games: 17%
Won 6 games: 8%
Won 5 games: 10%
Won 4 games: 9%
Won 3 games: 1%
Won 2 games: 2%
Won 9 games: 18%
Won 8 games: 13%
Won 7 games: 9%
Won 6 games: 5%
Won 5 games: 3%
Won 4 games: 3%
Won 3 games: 1%
Won 2 games: 0%
April 21, 1999
Michigan State: 41
Michigan: 39
Wisconsin: 2-8-1 (.200)
Michigan State:1-10 (.091)
Wisconsin: 6-6 (.500)
Michigan State: 3-12 (.200)
Wisconsin: 23 games (8-14-1, .364)
Michigan State: 26 games (4-22, .154)
Michigan: 12-7 (.632)
Michigan State: 5-6 (.455)
Wisconsin: 37 games, 16-18-3, (.471)
Michigan State: 37 games, 9-28, (.243)
Wisconsin: 5-1-1 (.833)
Michigan State: 7-4-1 (.636)
Wisconsin: 27-2 (.931)
Michigan State: 20-2 (.909)
Michigan: 57-16 (.781)
Wisconsin: 48-21-4 (.696)
Michigan State: 40-32-1 (.556)
April 20, 1999
1992: 8-2 in games following Wisconsin.
1993: 5-4 in games following Wisconsin.
1994: 6-4 in games following Wisconsin.
1995: 6-4 in games following Wisconsin.
1996: 6-4 in games following Wisconsin.
1997: 2-9 in games following Wisconsin.
1998: 1-10 in games following Wisconsin.
April 17, 1999
Wisconsin: 28-17-3 (.622 %)
Michigan State: 25-22-1 (.532 %)
Wisconsin opponents: 178-200-7 (.471%)
Michigan State opponents: 174-201-9 (..464%)
Wisconsin opponents: 161-172-4 (.483%)
Michigan State opponents: 152-176-8 (.463%)
July 28, 1998