Preseason projection — This game has not yet been played and 2023 in-season data is not yet available.
Edges are based on 2022 full-season performance.
Confidence will increase once in-season games are logged.
Matchup Prediction
Georgia
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Georgia entering this game.
Momentum Control
78.1%
Georgia wins
Strong
Game Control
76%
Georgia wins
Strong
Vegas Spread
Georgia -50
O/U 56.5
William Hill (New Jersey)
UT Martin 2023 Schedule
UT Martin's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | UT Martin at Georgia | +50.0L7–48 | 56.5 | L7–48 | U | Y |
Georgia 2023 Schedule
Georgia's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Georgia vs UT Martin | -50.0W48–7 | 56.5 | W48–7 | U | N |
| Sat 9/9 | Georgia vs Ball State | -42.0W45–3 | 52.5 | W45–3 | U | N |
| Sat 9/16 | Georgia vs South Carolina | -27.0W24–14 | 54.5 | W24–14 | U | N |
| Sat 9/23 | Georgia vs UAB | -40.0W49–21 | 56.0 | W49–21 | O | N |
| Sat 9/30 | Georgia at Auburn | -14.0W27–20 | 44.5 | W27–20 | O | N |
| Sat 10/7 | Georgia vs Kentucky | -14.5W51–13 | 47.0 | W51–13 | O | Y |
| Sat 10/14 | Georgia at Vanderbilt | -32.5W37–20 | 55.0 | W37–20 | O | N |
| — Bye Week — | ||||||
| Sat 10/28 | Georgia vs Florida | -14.0W43–20 | 50.0 | W43–20 | O | Y |
| Sat 11/4 | Georgia vs Missouri | -15.0W30–21 | 56.5 | W30–21 | U | N |
| Sat 11/11 | Georgia vs Ole Miss | -11.0W52–17 | 59.0 | W52–17 | O | Y |
| Sat 11/18 | Georgia at Tennessee | -9.0W38–10 | 59.0 | W38–10 | U | Y |
| Sat 11/25 | Georgia at Georgia Tech | -23.0W31–23 | 59.5 | W31–23 | U | N |
| Sat 12/2 | Georgia vs Alabama | -5.0L24–27 | 56.0 | L24–27 | U | N |
| Sat 12/30 | Georgia vs Florida State | -23.5W63–3 | 47.0 | W63–3 | O | Y |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Georgia Edge
Georgia +2.71
CSS Edge (season-to-date)
Teams with this edge win 78.1% of games historically
Based on 2022 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Georgia Edge
Georgia +85.4
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 2022 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 ✓