Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors Minnesota,
while Game Control favors Wisconsin.
Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
61.3%
Minnesota wins
Lean
Game Control
50.6%
Wisconsin wins
Toss-up
Vegas Spread
Wisconsin -3
O/U 37.0
teamrankings
Advanced Stats
PPA + Success Rate agree → Minnesota
· 73.9% ATS historically
↓ See full breakdown
Minnesota 2022 Schedule
Minnesota's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 9/1 | Minnesota vs New Mexico State | -36.0W38–0 | 52.5 | W38–0 | U | Y |
| Sat 9/10 | Minnesota vs Western Illinois | -41.0W62–10 | 56.5 | W62–10 | O | Y |
| Sat 9/17 | Minnesota vs Colorado | -28.0W49–7 | 47.5 | W49–7 | O | Y |
| Sat 9/24 | Minnesota at Michigan State | -3.0W34–7 | 50.0 | W34–7 | U | Y |
| Sat 10/1 | Minnesota vs Purdue | -9.0L10–20 | 53.0 | L10–20 | U | N |
| — Bye Week — | ||||||
| Sat 10/15 | Minnesota at Illinois | -4.5L14–26 | 40.0 | L14–26 | U | N |
| Sat 10/22 | Minnesota at Penn State | +5.5L17–45 | 43.0 | L17–45 | O | N |
| Sat 10/29 | Minnesota vs Rutgers | -14.0W31–0 | 40.5 | W31–0 | U | Y |
| Sat 11/5 | Minnesota at Nebraska | -14.5W20–13 | 44.5 | W20–13 | U | N |
| Sat 11/12 | Minnesota vs Northwestern | -17.0W31–3 | 40.5 | W31–3 | U | Y |
| Sat 11/19 | Minnesota vs Iowa | -2.0L10–13 | 31.5 | L10–13 | U | N |
| Sat 11/26 | Minnesota at Wisconsin | +3.0W23–16 | 37.0 | W23–16 | O | Y |
| Thu 12/29 | Minnesota vs Syracuse | -10.5W28–20 | 45.0 | W28–20 | O | N |
Wisconsin 2022 Schedule
Wisconsin's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | Wisconsin vs Illinois State | -36.5W38–0 | 42.5 | W38–0 | U | Y |
| Sat 9/10 | Wisconsin vs Washington State | -17.5L14–17 | 48.5 | L14–17 | U | N |
| Sat 9/17 | Wisconsin vs New Mexico State | -38.0W66–7 | 45.5 | W66–7 | O | Y |
| Sat 9/24 | Wisconsin at Ohio State | +19.0L21–52 | 56.5 | L21–52 | O | N |
| Sat 10/1 | Wisconsin vs Illinois | -6.5L10–34 | 43.0 | L10–34 | O | N |
| Sat 10/8 | Wisconsin at Northwestern | -10.0W42–7 | 44.5 | W42–7 | O | Y |
| Sat 10/15 | Wisconsin at Michigan State | -7.0L28–34 | 49.5 | L28–34 | O | N |
| Sat 10/22 | Wisconsin vs Purdue | -1.5W35–24 | 51.5 | W35–24 | O | Y |
| — Bye Week — | ||||||
| Sat 11/5 | Wisconsin vs Maryland | -5.0W23–10 | 47.5 | W23–10 | U | Y |
| Sat 11/12 | Wisconsin at Iowa | +1.0L10–24 | 35.5 | L10–24 | U | N |
| Sat 11/19 | Wisconsin at Nebraska | -10.0W15–14 | 40.5 | W15–14 | U | N |
| Sat 11/26 | Wisconsin vs Minnesota | -3.0L16–23 | 37.0 | L16–23 | O | N |
| Tue 12/27 | Wisconsin vs Oklahoma State | -5.0W24–17 | 45.0 | W24–17 | U | Y |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2022 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
Split
Metrics disagree
Elite · 82.4% ATS
PPA + PPO + Havoc
Split
Metrics disagree
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Minnesota
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
PPA Passing
Pass efficiency edge · Strong predictor
Havoc Total
Def. disruption rate · Strong predictor
TFLs, sacks, PBUs, forced fumbles — higher is better
Points Per Opp
Drive-finishing edge · Strong predictor
Success Rate
Play consistency edge · Solid predictor
Field Position
Avg start (lower=better) · Solid predictor
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Advanced stats sourced from CFBD · 2022 season ·
Edges are matchup-adjusted (offense vs opponent defense)
Power Ratings
Team Power Ratings
Overall · Offense · Defense ratings · Updated as season progresses
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Minnesota Edge
Minnesota +0.90
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 10 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Wisconsin Edge
Wisconsin +0.4
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 11 games this season
Actual Result
CSS Battle
Tie
1 — 1 sequences
✗ Predicted incorrectly
GC Battle
Minnesota
27.8 — 41.6 GC score
✗ Predicted incorrectly
Game Result
Minnesota won by 7
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
CSS and GC disagree on this matchup. When the metrics split, historical cover rates are essentially random — treat this as a coin flip against the spread.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Minnesota
P. J. Fleck #1
35–23 (60%)
· Yr 6 at school
OC
Kirk Ciarrocca
Yr 1
#1
DC
Joe Rossi
Yr 2
#1
Wisconsin
Paul Chryst #1
65–23 (74%)
· Yr 8 at school
OC
Bobby Engram
Yr 1
#1
DC
Jim Leonhard
Yr 2
#1
About these metrics
Advanced Stats shows matchup-adjusted factor edges (offense vs opponent defense). Combination signals — when PPA, PPO, Success Rate, and Havoc all point the same direction — have historically predicted the SU winner in 95–97% of games and the ATS winner in 82–83% of games (2021–2025, FBS vs FBS, regular season).
Impact: Advanced Stats are the best performance based metric used to predict the outcome of games. ✓
Momentum Control (CSS) measures consecutive scoring sequences — when a team scores, holds the opponent scoreless, then scores again. Teams entering a game with a CSS edge of +1.0 or more have won 71–78% of games historically (2021–2025, FBS vs FBS).
Impact: Momentum Control is a great measure for predicting game outcome but NOT an ATS advantage, data shows this is already considered when lines are set. ✗
Game Control (GC) measures win probability dominance — how thoroughly a team controlled the game from start to finish. Teams with a GC edge of +12 or more have won 67–76% of games historically. When both metrics agree, combined confidence is higher. When they split, treat as a lean at best.
Impact: Game Control is another great measure for predicting game outcome but NOT an ATS advantage, data shows this is already considered when lines are set. ✗
Power Ratings are a custom-built composite of a Teams Talent, Experience & Production, Coaching & Performance Metrics. These are updated constantly with roster changes, performance once the games start for the 2026 season, injuries the team is dealing with and scheduling situations.
Impact: There are a wide range of power ratings available, we think ours is the best, you can decide for yourself ✓
Advanced Stats shows matchup-adjusted factor edges (offense vs opponent defense). Combination signals — when PPA, PPO, Success Rate, and Havoc all point the same direction — have historically predicted the SU winner in 95–97% of games and the ATS winner in 82–83% of games (2021–2025, FBS vs FBS, regular season).
Impact: Advanced Stats are the best performance based metric used to predict the outcome of games. ✓
Momentum Control (CSS) measures consecutive scoring sequences — when a team scores, holds the opponent scoreless, then scores again. Teams entering a game with a CSS edge of +1.0 or more have won 71–78% of games historically (2021–2025, FBS vs FBS).
Impact: Momentum Control is a great measure for predicting game outcome but NOT an ATS advantage, data shows this is already considered when lines are set. ✗
Game Control (GC) measures win probability dominance — how thoroughly a team controlled the game from start to finish. Teams with a GC edge of +12 or more have won 67–76% of games historically. When both metrics agree, combined confidence is higher. When they split, treat as a lean at best.
Impact: Game Control is another great measure for predicting game outcome but NOT an ATS advantage, data shows this is already considered when lines are set. ✗
Power Ratings are a custom-built composite of a Teams Talent, Experience & Production, Coaching & Performance Metrics. These are updated constantly with roster changes, performance once the games start for the 2026 season, injuries the team is dealing with and scheduling situations.
Impact: There are a wide range of power ratings available, we think ours is the best, you can decide for yourself ✓