Sat, Sep 9 2023
·
Week 2
·
🏟 Raymond James Stadium
Tampa, FL
·
Turf
·
65,857 cap
Florida A&M✈ 200 miSame TZ
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
Toss-up — no clear edge
Neither metric shows a meaningful pre-game edge in this matchup.
Momentum Control
58.4%
—
Lean
Game Control
67.1%
South Florida wins
Solid
Vegas Spread
South Florida -20
O/U 63.0
William Hill (New Jersey)
Florida A&M 2023 Schedule
Florida A&M's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/9 | Florida A&M at South Florida | +20.0L24–38 | 63.0 | L24–38 | U | Y |
South Florida 2023 Schedule
South Florida's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | South Florida at Western Kentucky | +13.5L24–41 | 71.5 | L24–41 | U | N |
| Sat 9/9 | South Florida vs Florida A&M | -20.0W38–24 | 63.0 | W38–24 | U | N |
| Sat 9/16 | South Florida vs Alabama | +34.0L3–17 | 61.0 | L3–17 | U | Y |
| Sat 9/23 | South Florida vs Rice | +2.5W42–29 | 56.5 | W42–29 | O | Y |
| Sat 9/30 | South Florida at Navy | +4.0W44–30 | 54.0 | W44–30 | O | Y |
| Sat 10/7 | South Florida at UAB | -3.5L35–56 | 68.5 | L35–56 | O | N |
| Sat 10/14 | South Florida vs Florida Atlantic | -3.0L14–56 | 61.0 | L14–56 | O | N |
| Sat 10/21 | South Florida at UConn | +1.0W24–21 | 57.0 | W24–21 | U | Y |
| — Bye Week — | ||||||
| Sat 11/4 | South Florida at Memphis | +13.5L50–59 | 68.5 | L50–59 | O | Y |
| Sat 11/11 | South Florida vs Temple | -7.5W27–23 | 70.5 | W27–23 | U | N |
| Fri 11/17 | South Florida at UTSA | +14.5L21–49 | 65.5 | L21–49 | O | N |
| Sat 11/25 | South Florida vs Charlotte | -7.5W48–14 | 56.5 | W48–14 | O | Y |
| Thu 12/21 | South Florida vs Syracuse | +3.0W45–0 | 56.0 | W45–0 | U | Y |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Florida A&M Edge
Florida A&M +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2022 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
South Florida Edge
South Florida +12.6
GC Edge (season-to-date)
Teams with this edge win 67.1% 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: 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 ✓

