Matchup Prediction
Toss-up — no clear edge
Neither metric shows a meaningful pre-game edge in this matchup.
Momentum Control
58.4%
—
Lean
Game Control
50.6%
—
Toss-up
Vegas Spread
Wisconsin -29
O/U 52.5
William Hill (New Jersey)
Advanced Stats
PPA + Success Rate agree → Wisconsin
· 73.9% ATS historically
↓ See full breakdown
Buffalo 2023 Schedule
Buffalo's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Buffalo at Wisconsin | +29.0L17–38 | 52.5 | L17–38 | O | Y |
| Sat 9/9 | Buffalo vs Fordham | -23.5L37–40 | 55.5 | L37–40 | O | N |
| Sat 9/16 | Buffalo vs Liberty | +2.5L27–55 | 54.0 | L27–55 | O | N |
| Sat 9/23 | Buffalo at Louisiana | +10.5L38–45 | 57.5 | L38–45 | O | Y |
| Sat 9/30 | Buffalo at Akron | +3.0W13–10 | 53.0 | W13–10 | U | Y |
| Sat 10/7 | Buffalo vs Central Michigan | +2.5W37–13 | 51.5 | W37–13 | U | Y |
| Sat 10/14 | Buffalo vs Bowling Green | -3.0L14–24 | 44.5 | L14–24 | U | N |
| Sat 10/21 | Buffalo at Kent State | -6.5W24–6 | 44.0 | W24–6 | U | Y |
| — Bye Week — | ||||||
| Tue 10/31 | Buffalo at Toledo | +14.0L13–31 | 47.0 | L13–31 | U | N |
| Tue 11/7 | Buffalo vs Ohio | +9.5L10–20 | 45.5 | L10–20 | U | N |
| Wed 11/15 | Buffalo at Miami (OH) | +7.5L10–23 | 36.5 | L10–23 | U | N |
| Tue 11/21 | Buffalo vs Eastern Michigan | -6.5L11–24 | 38.5 | L11–24 | U | N |
Wisconsin 2023 Schedule
Wisconsin's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Wisconsin vs Buffalo | -29.0W38–17 | 52.5 | W38–17 | O | N |
| Sat 9/9 | Wisconsin at Washington State | -5.0L22–31 | 58.0 | L22–31 | U | N |
| Sat 9/16 | Wisconsin vs Georgia Southern | -20.5W35–14 | 65.5 | W35–14 | U | Y |
| Fri 9/22 | Wisconsin at Purdue | -5.5W38–17 | 54.0 | W38–17 | O | Y |
| — Bye Week — | ||||||
| Sat 10/7 | Wisconsin vs Rutgers | -12.5W24–13 | 44.0 | W24–13 | U | N |
| Sat 10/14 | Wisconsin vs Iowa | -8.0L6–15 | 33.5 | L6–15 | U | N |
| Sat 10/21 | Wisconsin at Illinois | -3.0W25–21 | 40.5 | W25–21 | O | Y |
| Sat 10/28 | Wisconsin vs Ohio State | +14.5L10–24 | 48.0 | L10–24 | U | Y |
| Sat 11/4 | Wisconsin at Indiana | -9.5L14–20 | 45.0 | L14–20 | U | N |
| Sat 11/11 | Wisconsin vs Northwestern | -9.5L10–24 | 43.5 | L10–24 | U | N |
| Sat 11/18 | Wisconsin vs Nebraska | -7.5W24–17 | 36.5 | W24–17 | O | N |
| Sat 11/25 | Wisconsin at Minnesota | -1.5W28–14 | 42.0 | W28–14 | U | Y |
| Mon 1/1 | Wisconsin vs LSU | +9.5L31–35 | 59.5 | L31–35 | O | Y |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2023 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
→ Wisconsin
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 · 2023 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?
Buffalo Edge
Buffalo +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 0 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Buffalo Edge
Buffalo +0.0
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 0 games this season
Actual Result
CSS Battle
Wisconsin
2 — 0 sequences
✗ Predicted incorrectly
GC Battle
Wisconsin
88.5 — 2.3 GC score
✗ Predicted incorrectly
Game Result
Wisconsin won by 21
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Wisconsin, but the GC edge is small. When metrics agree but GC is near-neutral, the agreed-upon team has covered only 46.7% of the time historically (n=224) — potentially a fade signal.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Buffalo
Maurice Linguist #1
11–17 (39%)
· Yr 3 at school
OC
DJ Mangas
Yr 1
#1
DC
Robert Wright
Yr 1
#1
Wisconsin
Luke Fickell #1
2–1 (67%)
· Yr 1 at school
OC
Phil Longo
Yr 1
#1
DC
Colin Hitschler
Yr 1
#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: CSS is not a predictive 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: GS is not a predictive 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: CSS is not a predictive 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: GS is not a predictive 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 ✓