The MRI
2026 · Week 11

Wisconsin

Big Ten · 6–3 · 4–2 in conference · MRI Classic #34

Power+9.8#36 of 138
Résumé+2.36#27 · wins above average
Playoff chance3.2%#32 most likely
Trendrating by week

Who to root for this week

4 games · top: USC over Indiana, +2.0 pts playoff odds

The games this week that move its playoff odds most, and the side to cheer. Other teams’ games only; its own game is in the schedule below. How these are worked out.

Best winUSC (24–7)
Worst lossIowa (0–30)
Schedule faced+3.7 avg opponent
Schedule ahead+0.7 avg opponent
Roster talent#29 of 127 · worth +4.4, rated +9.8: beating it
Returning production31% of last year's · #83 of 128
Home field+2.9 pts · 76th of 131

How this rating is built

Power = w × (average margin counted + average opponent rating) + (1 − w) × preseason prior, where w = games ÷ (games + 4). After 9 games, w is 69%, so the preseason prior is 31% of this rating. Every game played shrinks that share.

PartValueWeightAdds
Margin counted+8.3 avg× 69%+5.8
Opponents faced+3.7 avg× 69%+2.6
Preseason prior+4.7× 31%+1.4
Power+9.8

This explains how the model reached the number. The opponent ratings come out of the same fitted model, so it is not independent proof that the rating is right.

Results

Expected is the margin the model's ratings imply for that matchup and site. Perf is how far the actual margin beat it — the result against expectation. Adds is a different question: how many points of Power the game contributes, counting its margin and the strength of the opponent together. A game can beat expectation and still add little, or the reverse. Adds, plus the preseason prior, sum to Power (figures are rounded so the column adds up). Hover an Adds figure for its arithmetic.

WkOpponentResult ExpectedPerfAdds
1 N Notre Dame L 13–41 -19.8 -8.2 -0.2
2 vs Western Illinois FCS W 36–9 +46.5 -19.5 -0.6
3 vs Eastern Michigan W 54–10 +29.6 +14.4 +1.8
4 at Penn State W 24–20 -4.8 +8.8 +1.5
5 vs Michigan State W 31–3 +10.9 +17.1 +2.5
7 at UCLA L 7–17 -10.6 +0.6 +0.5
8 vs USC W 24–7 -4.7 +21.7 +2.8
9 at Iowa L 0–30 -8.5 -21.5 -1.2
10 vs Rutgers W 31–10 +18.5 +2.5 +1.3
Preseason prior (31% of the rating)+1.4
Power+9.8

Remaining schedule

WkOpponent ProjectedWin prob
11 at Maryland +8.3 69%
12 at Purdue +6.4 65%
13 vs Minnesota +9.4 72%

Coaches

Mean added leaves out 1978–1980, the first seasons rated, which have no preseason prior to measure against.

CoachYearsRecordMean added
Dave McClain1978–198546-42-3+1.8
Jim Hilles19863-9-3.3
Don Morton1987–19896-27-5.0
Barry Alvarez1990–2005117-74-4+3.4
Bret Bielema2006–201268-24+3.9
Barry Alvarez20120-1-1.0
Gary Andersen2013–201419-7+5.8
Barry Alvarez20141-0+3.0
Paul Chryst2015–202267-26+4.5
Luke Fickell2023–202622-24+0.4

Season by season

Best finish: #2 in 2017. 48 seasons rated. The two columns' numbers are not comparable; the rank within each is. Season links open that year's game log.

25 1 150 2003 (MRI Classic): #34 of 117 (7-6)2004 (MRI Classic): #33 of 117 (9-3)2005 (MRI Classic): #25 of 119 (10-3)2006 (MRI Classic): #10 of 119 (12-1)2007 (MRI Classic): #39 of 120 (9-4)2008 (MRI Classic): #54 of 120 (7-6)2009 (MRI Classic): #13 of 120 (10-3)2010 (MRI Classic): #11 of 120 (11-2)2011 (MRI Classic): #8 of 120 (11-3)2012 (MRI Classic): #21 of 124 (8-6)2013 (MRI Classic): #17 of 126 (9-4)2014 (MRI Classic): #9 of 128 (11-3)2015 (MRI Classic): #22 of 128 (10-3)2016 (MRI Classic): #10 of 128 (11-3)2017 (MRI Classic): #2 of 130 (13-1)2018 (MRI Classic): #30 of 130 (8-5)2019 (MRI Classic): #4 of 130 (10-4)1978 (MRI 2.0): #98 of 138 (5-6)1979 (MRI 2.0): #103 of 138 (4-7)1980 (MRI 2.0): #86 of 138 (4-7)1981 (MRI 2.0): #47 of 136 (7-5)1982 (MRI 2.0): #40 of 105 (7-5)1983 (MRI 2.0): #32 of 105 (7-4)1984 (MRI 2.0): #35 of 106 (7-5)1985 (MRI 2.0): #54 of 106 (5-6)1986 (MRI 2.0): #63 of 105 (3-9)1987 (MRI 2.0): #71 of 104 (3-8)1988 (MRI 2.0): #89 of 104 (1-10)1989 (MRI 2.0): #84 of 106 (2-9)1990 (MRI 2.0): #82 of 107 (1-10)1991 (MRI 2.0): #77 of 107 (5-6)1992 (MRI 2.0): #52 of 107 (5-6)1993 (MRI 2.0): #18 of 106 (10-2)1994 (MRI 2.0): #16 of 107 (7-5)1995 (MRI 2.0): #29 of 108 (4-7)1996 (MRI 2.0): #24 of 111 (8-5)1997 (MRI 2.0): #48 of 112 (8-5)1998 (MRI 2.0): #8 of 112 (11-1)1999 (MRI 2.0): #7 of 114 (10-2)2000 (MRI 2.0): #20 of 116 (9-4)2001 (MRI 2.0): #48 of 117 (5-7)2002 (MRI 2.0): #32 of 117 (8-6)2003 (MRI 2.0): #36 of 117 (7-6)2004 (MRI 2.0): #29 of 117 (9-3)2005 (MRI 2.0): #23 of 119 (10-3)2006 (MRI 2.0): #14 of 119 (12-1)2007 (MRI 2.0): #33 of 119 (9-4)2008 (MRI 2.0): #50 of 120 (7-6)2009 (MRI 2.0): #33 of 120 (10-3)2010 (MRI 2.0): #14 of 120 (11-2)2011 (MRI 2.0): #8 of 120 (11-3)2012 (MRI 2.0): #15 of 124 (8-6)2013 (MRI 2.0): #14 of 125 (9-4)2014 (MRI 2.0): #19 of 128 (11-3)2015 (MRI 2.0): #23 of 128 (10-3)2016 (MRI 2.0): #9 of 128 (11-3)2017 (MRI 2.0): #5 of 130 (13-1)2018 (MRI 2.0): #19 of 130 (8-5)2019 (MRI 2.0): #7 of 130 (10-4)2020 (MRI 2.0): #14 of 128 (4-3)2021 (MRI 2.0): #7 of 130 (9-4)2022 (MRI 2.0): #28 of 131 (7-6)2023 (MRI 2.0): #36 of 133 (7-6)2024 (MRI 2.0): #44 of 134 (5-7)2025 (MRI 2.0): #59 of 136 (4-8) MRI 2.0Classic 1978 2025

Finishing rank, best at the top, on an axis running to 150 — this team's own range, not the size of the field. Two lines where both ratings cover a season - MRI 2.0 in red, Classic in grey. Hover a point for the season.

SeasonRec MRI 2.0MRI Classic
2025 4–8 #59 of 136 · 2.93 –
2024 5–7 #44 of 134 · 5.65 –
2023 7–6 #36 of 133 · 7.57 –
2022 7–6 #28 of 131 · 10.46 –
2021 9–4 #7 of 130 · 17.88 –
2020 4–3 #14 of 128 · 16.78 –
2019 10–4 #7 of 130 · 22.91 #4 of 130 · 101.13
2018 8–5 #19 of 130 · 13.60 #30 of 130 · 49.12
2017 13–1 #5 of 130 · 25.92 #2 of 130 · 118.03
2016 11–3 #9 of 128 · 17.77 #10 of 128 · 76.60
2015 10–3 #23 of 128 · 13.42 #22 of 128 · 66.11
2014 11–3 #19 of 128 · 16.64 #9 of 128 · 83.96
2013 9–4 #14 of 125 · 19.15 #17 of 126 · 73.95
2012 8–6 #15 of 124 · 14.98 #21 of 124 · 60.08
2011 11–3 #8 of 120 · 22.56 #8 of 120 · 98.51
2010 11–2 #14 of 120 · 16.42 #11 of 120 · 82.47
2009 10–3 #33 of 120 · 8.06 #13 of 120 · 65.93
2008 7–6 #50 of 120 · 2.94 #54 of 120 · 30.10
2007 9–4 #33 of 119 · 8.71 #39 of 120 · 48.85
2006 12–1 #14 of 119 · 14.90 #10 of 119 · 84.42
2005 10–3 #23 of 119 · 12.78 #25 of 119 · 57.05
2004 9–3 #29 of 117 · 8.70 #33 of 117 · 50.86
2003 7–6 #36 of 117 · 8.13 #34 of 117 · 49.73
2002 8–6 #32 of 117 · 8.17 –
2001 5–7 #48 of 117 · 4.93 –
2000 9–4 #20 of 116 · 13.13 –
1999 10–2 #7 of 114 · 20.05 –
1998 11–1 #8 of 112 · 18.12 –
1997 8–5 #48 of 112 · 3.91 –
1996 8–5 #24 of 111 · 12.93 –
1995 4–7 #29 of 108 · 9.45 –
1994 7–5 #16 of 107 · 14.09 –
1993 10–2 #18 of 106 · 14.22 –
1992 5–6 #52 of 107 · 0.30 –
1991 5–6 #77 of 107 · -7.11 –
1990 1–10 #82 of 107 · -10.59 –
1989 2–9 #84 of 106 · -11.27 –
1988 1–10 #89 of 104 · -14.29 –
1987 3–8 #71 of 104 · -6.38 –
1986 3–9 #63 of 105 · -2.76 –
1985 5–6 #54 of 106 · 0.44 –
1984 7–5 #35 of 106 · 5.74 –
1983 7–4 #32 of 105 · 8.53 –
1982 7–5 #40 of 105 · 3.06 –
1981 7–5 #47 of 136 · 3.78 –
1980 4–7 #86 of 138 · -3.44 –
1979 4–7 #103 of 138 · -6.88 –
1978 5–6 #98 of 138 · -6.19 –