Sat, Sep 6 2025
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Week 2
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🏟 Sanford Stadium
Athens, GA
·
Turf
·
92,746 cap
Austin Peay✈ 286 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%
Georgia wins
Strong
Vegas Spread
Georgia -47.0
O/U 55.5
Bovada
Austin Peay 2025 Schedule
Austin Peay's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Austin Peay at Middle Tennessee | +14.5W34–14 | 53.5 | W34–14 | U | Y |
| Sat 9/6 | Austin Peay at Georgia | +47.0L6–28 | 55.5 | L6–28 | U | Y |
Georgia 2025 Schedule
Georgia's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Georgia vs Marshall | -39.5W45–7 | 55.5 | W45–7 | U | N |
| Sat 9/6 | Georgia vs Austin Peay | -47.0W28–6 | 55.5 | W28–6 | U | N |
| Sat 9/13 | Georgia at Tennessee | -3.5W44–41 | 50.5 | W44–41 | O | N |
| — Bye Week — | ||||||
| Sat 9/27 | Georgia vs Alabama | -2.5L21–24 | 53.5 | L21–24 | U | N |
| Sat 10/4 | Georgia vs Kentucky | -19.5W35–14 | 48.5 | W35–14 | O | Y |
| Sat 10/11 | Georgia at Auburn | -4.5W20–10 | 45.5 | W20–10 | U | Y |
| Sat 10/18 | Georgia vs Ole Miss | -7.5W43–35 | 56.5 | W43–35 | O | Y |
| — Bye Week — | ||||||
| Sat 11/1 | Georgia vs Florida | -7.0W24–20 | 50.5 | W24–20 | U | N |
| Sat 11/8 | Georgia at Mississippi State | -9.5W41–21 | 56.5 | W41–21 | O | Y |
| Sat 11/15 | Georgia vs Texas | -3.5W35–10 | 50.5 | W35–10 | U | Y |
| Sat 11/22 | Georgia vs Charlotte | -42.5W35–3 | 53.5 | W35–3 | U | N |
| Fri 11/28 | Georgia vs Georgia Tech | -15.5W16–9 | 59.5 | W16–9 | U | N |
| Sat 12/6 | Georgia vs Alabama | -2.5W28–7 | 47.5 | W28–7 | U | Y |
| Thu 1/1 | Georgia vs Ole Miss | -6.0L34–39 | 53.5 | L34–39 | O | N |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Austin Peay Edge
Austin Peay +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?
Georgia Edge
Georgia +43.0
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: 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 ✓