Preseason projection — This game has not yet been played and 2022 in-season data is not yet available.
Edges are based on 2021 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 -53
O/U 62.5
consensus
Samford 2022 Schedule
Samford's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/10 | Samford at Georgia | +53.0L0–33 | 62.5 | L0–33 | U | Y |
Georgia 2022 Schedule
Georgia's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | Georgia vs Oregon | -16.0W49–3 | 54.5 | W49–3 | U | Y |
| Sat 9/10 | Georgia vs Samford | -53.0W33–0 | 62.5 | W33–0 | U | N |
| Sat 9/17 | Georgia at South Carolina | -25.5W48–7 | 56.0 | W48–7 | U | Y |
| Sat 9/24 | Georgia vs Kent State | -45.0W39–22 | 61.5 | W39–22 | U | N |
| Sat 10/1 | Georgia at Missouri | -30.5W26–22 | 54.0 | W26–22 | U | N |
| Sat 10/8 | Georgia vs Auburn | -27.5W42–10 | 49.5 | W42–10 | O | Y |
| Sat 10/15 | Georgia vs Vanderbilt | -37.5W55–0 | 56.5 | W55–0 | U | Y |
| — Bye Week — | ||||||
| Sat 10/29 | Georgia vs Florida | -23.0W42–20 | 56.5 | W42–20 | O | N |
| Sat 11/5 | Georgia vs Tennessee | -9.5W27–13 | 65.5 | W27–13 | U | Y |
| Sat 11/12 | Georgia at Mississippi State | -16.5W45–19 | 53.0 | W45–19 | O | Y |
| Sat 11/19 | Georgia at Kentucky | -22.5W16–6 | 47.5 | W16–6 | U | N |
| Sat 11/26 | Georgia vs Georgia Tech | -36.5W37–14 | 49.0 | W37–14 | O | N |
| Sat 12/3 | Georgia vs LSU | -17.0W50–30 | 52.0 | W50–30 | O | Y |
| Sat 12/31 | Georgia vs Ohio State | -5.5W42–41 | 62.0 | W42–41 | O | N |
| Mon 1/9 | Georgia vs TCU | -13.5W65–7 | 62.0 | W65–7 | O | Y |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Samford Edge
Samford +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2021 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Georgia Edge
Georgia +75.4
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 2021 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 ✓