Sat, Sep 20 2025
·
Week 4
·
🏟 Peden Stadium
Athens, OH
·
Turf
·
24,000 cap
Gardner-Webb✈ 282 miSame TZ
Preseason projection — This game has not yet been played and 2025 in-season data is not yet available.
Edges are based on 2024 full-season performance.
Confidence will increase once in-season games are logged.
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
58.6%
Ohio wins
Lean
Vegas Spread
Ohio -30.5
O/U 55.0
Bovada
Gardner-Webb 2025 Schedule
Gardner-Webb's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/6 | Gardner-Webb at Georgia Tech | +37.5L12–59 | 60.5 | L12–59 | O | N |
| — Bye Week — | ||||||
| Sat 9/20 | Gardner-Webb at Ohio | +30.5L35–52 | 55.0 | L35–52 | O | Y |
Ohio 2025 Schedule
Ohio's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/28 | Ohio at Rutgers | +11.5L31–34 | 46.5 | L31–34 | O | Y |
| Sat 9/6 | Ohio vs West Virginia | +3.5W17–10 | 58.5 | W17–10 | U | Y |
| Sat 9/13 | Ohio at Ohio State | +28.0L9–37 | 49.0 | L9–37 | U | Y |
| Sat 9/20 | Ohio vs Gardner-Webb | -30.5W52–35 | 55.0 | W52–35 | O | N |
| Sat 9/27 | Ohio vs Bowling Green | -7.5W35–20 | 49.5 | W35–20 | O | Y |
| Sat 10/4 | Ohio at Ball State | -14.0L14–20 | 52.5 | L14–20 | U | N |
| — Bye Week — | ||||||
| Sat 10/18 | Ohio vs Northern Illinois | -10.5W48–21 | 41.5 | W48–21 | O | Y |
| Sat 10/25 | Ohio at Eastern Michigan | -11.5W28–21 | 60.5 | W28–21 | U | N |
| — Bye Week — | ||||||
| Tue 11/4 | Ohio vs Miami (OH) | -2.5W24–20 | 50.5 | W24–20 | U | Y |
| Tue 11/11 | Ohio at Western Michigan | +1.5L13–17 | 46.5 | L13–17 | U | N |
| Tue 11/18 | Ohio vs Massachusetts | -34.5W42–14 | 53.5 | W42–14 | O | N |
| Fri 11/28 | Ohio at Buffalo | -7.0W31–26 | 44.5 | W31–26 | O | N |
| Tue 12/23 | Ohio vs UNLV | +6.5W17–10 | 64.5 | W17–10 | U | Y |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Gardner-Webb Edge
Gardner-Webb +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2024 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Ohio Edge
Ohio +9.3
GC Edge (season-to-date)
Teams with this edge win 58.6% of games historically
Based on 2024 full season · preseason estimate
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 ✓