South Carolina at Texas A&M Week 12 College Football Matchup South Carolina at Texas A&M Matchup - Week 12
Sat, Nov 15 2025 · Week 12 · 🏟 Kyle Field College Station, TX · Turf · 102,733 cap
South Carolina✈ 923 mi-1 hr TZ
30 31
Final
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📊 Punt & Rally Projection
South Carolina
16
Texas A&M
33
P&R Line Texas A&M -17
P&R Total O/U 49
Confidence 90 High
Vegas Texas A&M -16.5 · O/U 49.5
Matchup Prediction
Texas A&M has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor Texas A&M entering this game.
Momentum Control
71.6%
Texas A&M wins
Solid
Game Control
76%
Texas A&M wins
Strong
Vegas Spread
Texas A&M -16.5
O/U 49.5
ESPN Bet
Advanced Stats
All 4 factors agree → Texas A&M · 83.1% ATS historically when all four align
↓ See full breakdown
🛋 South Carolina Coming off BYE
South Carolina 2025 Schedule
South Carolina's 2025 Schedule
DateMatchupSpreadTotalResultO/UCover
Sun 8/31South Carolina vs Virginia Tech-8.5W24–1148.5W24–11UY
Sat 9/6South Carolina vs South Carolina State-43.0W38–1054.0W38–10UN
Sat 9/13South Carolina vs Vanderbilt-3.0L7–3148.5L7–31UN
Sat 9/20South Carolina at Missouri+10.0L20–2948.5L20–29OY
Sat 9/27South Carolina vs Kentucky-5.5W35–1346.5W35–13OY
— Bye Week —
Sat 10/11South Carolina at LSU+8.5L10–2044.5L10–20UN
Sat 10/18South Carolina vs Oklahoma+4.5L7–2642.5L7–26UN
Sat 10/25South Carolina vs Alabama+11.5L22–2947.5L22–29OY
Sat 11/1South Carolina at Ole Miss+12.5L14–3055.5L14–30UN
— Bye Week —
Sat 11/15South Carolina at Texas A&M+16.5L30–3149.5L30–31OY
Sat 11/22South Carolina vs Coastal Carolina-24.0W51–750.0W51–7OY
Sat 11/29South Carolina vs Clemson-2.5L14–2845.5L14–28UN
Texas A&M 2025 Schedule
Texas A&M's 2025 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 8/30Texas A&M vs UTSA-21.5W42–2456.5W42–24ON
Sat 9/6Texas A&M vs Utah State-34.5W44–2257.5W44–22ON
Sat 9/13Texas A&M at Notre Dame+7.5W41–4048.5W41–40OY
— Bye Week —
Sat 9/27Texas A&M vs Auburn-6.5W16–1051.5W16–10UN
Sat 10/4Texas A&M vs Mississippi State-17.5W31–957.5W31–9UY
Sat 10/11Texas A&M vs Florida-7.0W34–1747.5W34–17OY
Sat 10/18Texas A&M at Arkansas-7.5W45–4257.5W45–42ON
Sat 10/25Texas A&M at LSU-1.5W49–2550.5W49–25OY
— Bye Week —
Sat 11/8Texas A&M at Missouri-7.0W38–1748.5W38–17OY
Sat 11/15Texas A&M vs South Carolina-16.5W31–3049.5W31–30ON
Sat 11/22Texas A&M vs Samford-54.5W48–059.5W48–0UN
Fri 11/28Texas A&M at Texas-2.5L17–2754.5L17–27UN
Sat 12/20Texas A&M vs Miami-3.0L3–1048.5L3–10UN
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2025 season
Texas A&M PPA Edge
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Texas A&M
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Texas A&M
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Texas A&M
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
South Carolina #109
+0.225
Texas A&M #29
+0.327
Texas A&M Edge
PPA Passing
Pass efficiency edge · Strong predictor
South Carolina #109
+0.274
Texas A&M #26
+0.637
Texas A&M Edge
Havoc Total
Def. disruption rate · Strong predictor
South Carolina #61
0.160
Texas A&M #4
0.214
TFLs, sacks, PBUs, forced fumbles — higher is better
Texas A&M Edge
Points Per Opp
Drive-finishing edge · Strong predictor
South Carolina #134
+6.525
Texas A&M #33
+7.293
Texas A&M Edge
Success Rate
Play consistency edge · Solid predictor
South Carolina #118
+0.713
Texas A&M #28
+0.877
Texas A&M Edge
Field Position
Avg start (lower=better) · Solid predictor
South Carolina #128
73.4
Texas A&M #9
67.5
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Texas A&M Edge
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
Texas A&M Rated Higher
Overall Power Rating
South Carolina
5.3
Texas A&M
14.3
Offense Rating
South Carolina
18.3
Texas A&M
22.5
Defense Rating (lower = better defense)
South Carolina
13.0
Texas A&M
8.1
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? Texas A&M Edge
Avg sequences created per game
South Carolina #118
0.13
Texas A&M #25
1.33
Avg sequences allowed per game (lower is better)
South Carolina #67
0.88
Texas A&M #17
0.33
Texas A&M +1.21
CSS Edge (season-to-date)
Teams with this edge win 71.6% of games historically
Based on 9 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? Texas A&M Edge
Avg GC score per game (offense)
South Carolina #1
34.6
Texas A&M #1
71.3
Avg GC score allowed per game (lower is better)
South Carolina #78
45.6
Texas A&M #10
15.0
Texas A&M +36.7
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 9 games this season
Actual Result
CSS Battle
Texas A&M
3 — 1 sequences
✓ Predicted correctly
GC Battle
South Carolina
18.6 — 64.6 GC score
✗ Predicted incorrectly
Game Result
Texas A&M won by 1
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on Texas A&M 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 Carolina
Shane Beamer #1
29–21 (58%) · Yr 5 at school
OC Mike Shula Yr 1 #1
DC Clayton White Yr 3 #1
Staff Rating
0.00 #1
Texas A&M
Mike Elko #1
8–4 (67%) · Yr 2 at school
OC Collin Klein Yr 2 #1
DC Jay Bateman Yr 2 #1
Staff Rating
0.00 #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: 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