Thu, Aug 28 2025
·
Week 1
·
🏟 Camp Randall Stadium
Madison, WI
·
Turf
·
80,321 cap
Miami (OH)✈ 345 mi-1 hr TZ
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 -17.5
O/U 40.5
DraftKings
Advanced Stats
All 4 factors agree → Miami (OH)
· 83.1% ATS historically when all four align
↓ See full breakdown
Miami (OH) 2025 Schedule
Miami (OH)'s 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/28 | Miami (OH) at Wisconsin | +17.5L0–17 | 40.5 | L0–17 | U | Y |
| Sat 9/6 | Miami (OH) at Rutgers | +15.5L17–45 | 45.5 | L17–45 | O | N |
| — Bye Week — | ||||||
| Sat 9/20 | Miami (OH) vs UNLV | +2.5L38–41 | 49.5 | L38–41 | O | N |
| Sat 9/27 | Miami (OH) vs Lindenwood | -22.5W38–0 | 49.5 | W38–0 | U | Y |
| Sat 10/4 | Miami (OH) at Northern Illinois | -4.5W25–14 | 38.5 | W25–14 | O | Y |
| Sat 10/11 | Miami (OH) at Akron | -11.5W20–7 | 47.5 | W20–7 | U | Y |
| Sat 10/18 | Miami (OH) vs Eastern Michigan | -12.5W44–30 | 47.5 | W44–30 | O | Y |
| Sat 10/25 | Miami (OH) vs Western Michigan | -2.5W26–17 | 40.5 | W26–17 | O | Y |
| — Bye Week — | ||||||
| Tue 11/4 | Miami (OH) at Ohio | +2.5L20–24 | 50.5 | L20–24 | U | N |
| Wed 11/12 | Miami (OH) vs Toledo | +6.5L3–24 | 44.5 | L3–24 | U | N |
| Wed 11/19 | Miami (OH) at Buffalo | -2.5W37–20 | 38.5 | W37–20 | O | Y |
| Sat 11/29 | Miami (OH) vs Ball State | -16.5W45–24 | 40.5 | W45–24 | O | Y |
| Sat 12/6 | Miami (OH) vs Western Michigan | +2.5L13–23 | 44.5 | L13–23 | U | N |
| Sat 12/27 | Miami (OH) vs Fresno State | +5.0L3–18 | 41.0 | L3–18 | U | N |
Wisconsin 2025 Schedule
Wisconsin's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/28 | Wisconsin vs Miami (OH) | -17.5W17–0 | 40.5 | W17–0 | U | N |
| Sat 9/6 | Wisconsin vs Middle Tennessee | -28.5W42–10 | 45.5 | W42–10 | O | Y |
| Sat 9/13 | Wisconsin at Alabama | +17.5L14–38 | 45.5 | L14–38 | O | N |
| Sat 9/20 | Wisconsin vs Maryland | -10.5L10–27 | 44.5 | L10–27 | U | N |
| — Bye Week — | ||||||
| Sat 10/4 | Wisconsin at Michigan | +17.5L10–24 | 42.5 | L10–24 | U | Y |
| Sat 10/11 | Wisconsin vs Iowa | +5.5L0–37 | 37.5 | L0–37 | U | N |
| Sat 10/18 | Wisconsin vs Ohio State | +24.5L0–34 | 41.5 | L0–34 | U | N |
| Sat 10/25 | Wisconsin at Oregon | +31.5L7–21 | 44.5 | L7–21 | U | Y |
| — Bye Week — | ||||||
| Sat 11/8 | Wisconsin vs Washington | +10.5W13–10 | 44.5 | W13–10 | U | Y |
| Sat 11/15 | Wisconsin at Indiana | +28.5L7–31 | 43.5 | L7–31 | U | Y |
| Sat 11/22 | Wisconsin vs Illinois | +8.5W27–10 | 42.5 | W27–10 | U | Y |
| Sat 11/29 | Wisconsin at Minnesota | -2.5L7–17 | 38.5 | L7–17 | U | N |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2025 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Miami (OH)
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Miami (OH)
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Miami (OH)
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 · 2025 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?
Miami (OH) Edge
Miami (OH) +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?
Miami (OH) Edge
Miami (OH) +0.0
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 0 games this season
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
Miami (OH)
Chuck Martin #1
64–67 (49%)
· Yr 12 at school
OC
Patrick Welsh
Yr 3
#1
DC
Bill Brechin
Yr 3
#1
Wisconsin
Luke Fickell #1
13–13 (50%)
· Yr 3 at school
OC
Jeff Grimes
Yr 1
#1
DC
Mike Tressel
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 ✓

