Sat, Oct 25 2025
·
Week 9
·
🏟 Williams-Brice Stadium
Columbia, SC
·
Turf
·
80,250 cap
Alabama✈ 379 mi+1 hr TZ
Matchup Prediction
Alabama
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Alabama entering this game.
Momentum Control
80.6%
Alabama wins
Strong
Game Control
75.9%
Alabama wins
Solid
Vegas Spread
Alabama -11.5
O/U 47.5
DraftKings
Advanced Stats
All 4 factors agree → Alabama
· 83.1% ATS historically when all four align
↓ See full breakdown
Alabama 2025 Schedule
Alabama's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Alabama at Florida State | -13.5L17–31 | 50.5 | L17–31 | U | N |
| Sat 9/6 | Alabama vs UL Monroe | -34.0W73–0 | 50.0 | W73–0 | O | Y |
| Sat 9/13 | Alabama vs Wisconsin | -17.5W38–14 | 45.5 | W38–14 | O | Y |
| — Bye Week — | ||||||
| Sat 9/27 | Alabama at Georgia | +2.5W24–21 | 53.5 | W24–21 | U | Y |
| Sat 10/4 | Alabama vs Vanderbilt | -13.5W30–14 | 58.5 | W30–14 | U | Y |
| Sat 10/11 | Alabama at Missouri | -3.5W27–24 | 50.5 | W27–24 | O | N |
| Sat 10/18 | Alabama vs Tennessee | -8.5W37–20 | 60.5 | W37–20 | U | Y |
| Sat 10/25 | Alabama at South Carolina | -11.5W29–22 | 47.5 | W29–22 | O | N |
| — Bye Week — | ||||||
| Sat 11/8 | Alabama vs LSU | -10.5W20–9 | 49.5 | W20–9 | U | Y |
| Sat 11/15 | Alabama vs Oklahoma | -6.5L21–23 | 45.5 | L21–23 | U | N |
| Sat 11/22 | Alabama vs Eastern Illinois | -50.5W56–0 | 57.5 | W56–0 | U | Y |
| Sat 11/29 | Alabama at Auburn | -6.5W27–20 | 48.5 | W27–20 | U | Y |
| Sat 12/6 | Alabama vs Georgia | +2.5L7–28 | 47.5 | L7–28 | U | N |
| Fri 12/19 | Alabama at Oklahoma | +1.5W34–24 | 42.0 | W34–24 | O | Y |
| Thu 1/1 | Alabama vs Indiana | +7.5L3–38 | 46.5 | L3–38 | U | N |
South Carolina 2025 Schedule
South Carolina's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sun 8/31 | South Carolina vs Virginia Tech | -8.5W24–11 | 48.5 | W24–11 | U | Y |
| Sat 9/6 | South Carolina vs South Carolina State | -43.0W38–10 | 54.0 | W38–10 | U | N |
| Sat 9/13 | South Carolina vs Vanderbilt | -3.0L7–31 | 48.5 | L7–31 | U | N |
| Sat 9/20 | South Carolina at Missouri | +10.0L20–29 | 48.5 | L20–29 | O | Y |
| Sat 9/27 | South Carolina vs Kentucky | -5.5W35–13 | 46.5 | W35–13 | O | Y |
| — Bye Week — | ||||||
| Sat 10/11 | South Carolina at LSU | +8.5L10–20 | 44.5 | L10–20 | U | N |
| Sat 10/18 | South Carolina vs Oklahoma | +4.5L7–26 | 42.5 | L7–26 | U | N |
| Sat 10/25 | South Carolina vs Alabama | +11.5L22–29 | 47.5 | L22–29 | O | Y |
| Sat 11/1 | South Carolina at Ole Miss | +12.5L14–30 | 55.5 | L14–30 | U | N |
| — Bye Week — | ||||||
| Sat 11/15 | South Carolina at Texas A&M | +16.5L30–31 | 49.5 | L30–31 | O | Y |
| Sat 11/22 | South Carolina vs Coastal Carolina | -24.0W51–7 | 50.0 | W51–7 | O | Y |
| Sat 11/29 | South Carolina vs Clemson | -2.5L14–28 | 45.5 | L14–28 | U | N |
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
→ Alabama
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Alabama
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Alabama
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?
Alabama Edge
Alabama +2.71
CSS Edge (season-to-date)
Teams with this edge win 80.6% of games historically
Based on 6 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Alabama Edge
Alabama +26.1
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 7 games this season
Actual Result
CSS Battle
Tie
1 — 1 sequences
✗ Predicted incorrectly
GC Battle
Alabama
31.3 — 40.1 GC score
✓ Predicted correctly
Game Result
Alabama won by 7
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Alabama 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
Alabama
Kalen DeBoer #1
9–3 (75%)
· Yr 2 at school
OC
Ryan Grubb
Yr 1
#1
DC
Kane Wommack
Yr 2
#1
South Carolina
Shane Beamer #1
29–21 (58%)
· Yr 5 at school
OC
Mike Shula
Yr 1
#1
DC
Clayton White
Yr 3
#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 ✓