Sat, Sep 6 2025
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Week 2
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🏟 Ohio Stadium
Columbus, OH
·
Turf
·
104,944 cap
Grambling✈ 746 mi+1 hr 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
76%
Ohio State wins
Strong
Vegas Spread
Ohio State -55.5
O/U 62.5
Bovada
Grambling 2025 Schedule
Grambling's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/6 | Grambling at Ohio State | +55.5L0–70 | 62.5 | L0–70 | O | N |
Ohio State 2025 Schedule
Ohio State's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Ohio State vs Texas | -1.5W14–7 | 46.5 | W14–7 | U | Y |
| Sat 9/6 | Ohio State vs Grambling | -55.5W70–0 | 62.5 | W70–0 | O | Y |
| Sat 9/13 | Ohio State vs Ohio | -28.0W37–9 | 49.0 | W37–9 | U | N |
| — Bye Week — | ||||||
| Sat 9/27 | Ohio State at Washington | -9.5W24–6 | 52.5 | W24–6 | U | Y |
| Sat 10/4 | Ohio State vs Minnesota | -23.5W42–3 | 42.5 | W42–3 | O | Y |
| Sat 10/11 | Ohio State at Illinois | -15.5W34–16 | 51.5 | W34–16 | U | Y |
| Sat 10/18 | Ohio State at Wisconsin | -24.5W34–0 | 41.5 | W34–0 | U | Y |
| — Bye Week — | ||||||
| Sat 11/1 | Ohio State vs Penn State | -17.5W38–14 | 45.5 | W38–14 | O | Y |
| Sat 11/8 | Ohio State at Purdue | -29.5W34–10 | 49.5 | W34–10 | U | N |
| Sat 11/15 | Ohio State vs UCLA | -33.5W48–10 | 46.5 | W48–10 | O | Y |
| Sat 11/22 | Ohio State vs Rutgers | -29.0W42–9 | 54.0 | W42–9 | U | Y |
| Sat 11/29 | Ohio State at Michigan | -9.5W27–9 | 43.5 | W27–9 | U | Y |
| Sat 12/6 | Ohio State vs Indiana | -5.5L10–13 | 48.5 | L10–13 | U | N |
| Wed 12/31 | Ohio State vs Miami | -7.5L14–24 | 39.5 | L14–24 | U | N |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Grambling Edge
Grambling +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 State Edge
Ohio State +64.9
GC Edge (season-to-date)
Teams with this edge win 76% 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: 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 ✓