Sat, Nov 22 2025
·
Week 13
·
🏟 Protective Stadium
Birmingham, AL
·
Turf
·
47,100 cap
South Florida✈ 460 mi-1 hr TZ
Matchup Prediction
South Florida
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
South Florida entering this game.
Momentum Control
73.7%
South Florida wins
Solid
Game Control
75.9%
South Florida wins
Solid
Vegas Spread
South Florida -21.5
O/U 68.5
DraftKings
Advanced Stats
All 4 factors agree → South Florida
· 83.1% ATS historically when all four align
↓ See full breakdown
South Florida 2025 Schedule
South Florida's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/28 | South Florida vs Boise State | +8.5W34–7 | 63.5 | W34–7 | U | Y |
| Sat 9/6 | South Florida at Florida | +18.5W18–16 | 58.0 | W18–16 | U | Y |
| Sat 9/13 | South Florida at Miami | +17.5L12–49 | 56.5 | L12–49 | O | N |
| Sat 9/20 | South Florida vs South Carolina State | -36.0W63–14 | 56.5 | W63–14 | O | Y |
| — Bye Week — | ||||||
| Fri 10/3 | South Florida vs Charlotte | -28.5W54–26 | 54.5 | W54–26 | O | N |
| Fri 10/10 | South Florida at North Texas | +2.5W63–36 | 68.5 | W63–36 | O | Y |
| Sat 10/18 | South Florida vs Florida Atlantic | -20.5W48–13 | 72.5 | W48–13 | U | Y |
| Sat 10/25 | South Florida at Memphis | -3.5L31–34 | 58.5 | L31–34 | O | N |
| — Bye Week — | ||||||
| Thu 11/6 | South Florida vs UTSA | -14.0W55–23 | 66.5 | W55–23 | O | Y |
| Sat 11/15 | South Florida at Navy | -8.5L38–41 | 62.5 | L38–41 | O | N |
| Sat 11/22 | South Florida at UAB | -21.5W48–18 | 68.5 | W48–18 | U | Y |
| Sat 11/29 | South Florida vs Rice | -28.5W52–3 | 57.5 | W52–3 | U | Y |
| Wed 12/17 | South Florida vs Old Dominion | -4.0L10–24 | 52.5 | L10–24 | U | N |
UAB 2025 Schedule
UAB's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/28 | UAB vs Alabama State | -21.0W52–42 | 53.5 | W52–42 | O | N |
| Sat 9/6 | UAB at Navy | +20.5L24–38 | 59.0 | L24–38 | O | Y |
| Sat 9/13 | UAB vs Akron | -12.5W31–28 | 58.5 | W31–28 | O | N |
| Sat 9/20 | UAB at Tennessee | +39.5L24–56 | 69.5 | L24–56 | O | Y |
| — Bye Week — | ||||||
| Sat 10/4 | UAB vs Army | +6.5L13–31 | 55.5 | L13–31 | U | N |
| Sat 10/11 | UAB at Florida Atlantic | +4.5L33–53 | 66.5 | L33–53 | O | N |
| Sat 10/18 | UAB vs Memphis | +23.5W31–24 | 59.5 | W31–24 | U | Y |
| — Bye Week — | ||||||
| Sat 11/1 | UAB at UConn | +10.0L19–38 | 61.5 | L19–38 | U | N |
| Sat 11/8 | UAB at Rice | -1.5L17–24 | 51.5 | L17–24 | U | N |
| Sat 11/15 | UAB vs North Texas | +17.5L24–53 | 69.5 | L24–53 | O | N |
| Sat 11/22 | UAB vs South Florida | +21.5L18–48 | 68.5 | L18–48 | U | N |
| Sat 11/29 | UAB at Tulsa | +9.0W31–24 | 56.5 | W31–24 | U | Y |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2025 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ South Florida
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ South Florida
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ South Florida
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
PPA Passing
Pass efficiency edge · Strong predictor
Havoc Total
Def. disruption rate · Strong predictor
TFLs, sacks, PBUs, forced fumbles — higher is better
Points Per Opp
Drive-finishing edge · Strong predictor
Success Rate
Play consistency edge · Solid predictor
Field Position
Avg start (lower=better) · Solid predictor
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Advanced stats sourced from CFBD · 2025 season ·
Edges are matchup-adjusted (offense vs opponent defense)
Power Ratings
Team Power Ratings
Overall · Offense · Defense ratings · Updated as season progresses
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
South Florida Edge
South Florida +1.11
CSS Edge (season-to-date)
Teams with this edge win 73.7% of games historically
Based on 9 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
South Florida Edge
South Florida +31.9
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 10 games this season
Actual Result
CSS Battle
South Florida
1 — 5 sequences
✓ Predicted correctly
GC Battle
South Florida
17.2 — 65.8 GC score
✓ Predicted correctly
Game Result
South Florida won by 30
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on South Florida with a large edge. Historically, dominant teams like this are fully priced into the spread — the agreed-upon team covers just 50.2% of the time. The metrics predict game control better than they beat the number.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
South Florida
Alex Golesh #1
13–12 (52%)
· Yr 3 at school
OC
Joel Gordon
Yr 3
#1
DC
Todd Orlando
Yr 3
#1
UAB
Trent Dilfer #1
7–17 (29%)
· Yr 3 at school
OC
Alex Mortensen
Yr 3
#1
DC
Steve Russ
Yr 1
#1
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 ✓