South Carolina at Texas A&M Week 9 College Football Matchup South Carolina at Texas A&M Matchup - Week 9
Sat, Oct 28 2023 · Week 9 · 🏟 Kyle Field College Station, TX · Turf · 102,733 cap
South Carolina✈ 923 mi-1 hr TZ
17 30
Final
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📊 Punt & Rally Projection
South Carolina
18
Texas A&M
34
P&R Line Texas A&M -15.5
P&R Total O/U 51.5
Confidence 90 High
Vegas Texas A&M -17 · O/U 51.5
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 -17
O/U 51.5
William Hill (New Jersey)
Advanced Stats
All 4 factors agree → Texas A&M · 83.1% ATS historically when all four align
↓ See full breakdown
🛋 Texas A&M Coming off BYE 🚌 South Carolina 2nd straight Road Game
South Carolina 2023 Schedule
South Carolina's 2023 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/2South Carolina vs North Carolina-2.5L17–3163.5L17–31UN
Sat 9/9South Carolina vs Furman-18.0W47–2152.5W47–21OY
Sat 9/16South Carolina at Georgia+27.0L14–2454.5L14–24UY
Sat 9/23South Carolina vs Mississippi State-6.0W37–3046.5W37–30OY
Sat 9/30South Carolina at Tennessee+12.0L20–4159.0L20–41ON
— Bye Week —
Sat 10/14South Carolina vs Florida+1.0L39–4150.0L39–41ON
Sat 10/21South Carolina at Missouri+7.5L12–3457.5L12–34UN
Sat 10/28South Carolina at Texas A&M+17.0L17–3051.5L17–30UY
Sat 11/4South Carolina vs Jacksonville State-15.5W38–2855.0W38–28ON
Sat 11/11South Carolina vs Vanderbilt-13.5W47–653.5W47–6UY
Sat 11/18South Carolina vs Kentucky-2.5W17–1452.5W17–14UY
Sat 11/25South Carolina vs Clemson+7.5L7–1648.0L7–16UN
Texas A&M 2023 Schedule
Texas A&M's 2023 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/2Texas A&M vs New Mexico-37.5W52–1048.5W52–10OY
Sat 9/9Texas A&M at Miami-3.0L33–4850.5L33–48ON
Sat 9/16Texas A&M vs UL Monroe-36.5W47–353.5W47–3UY
Sat 9/23Texas A&M vs Auburn-9.5W27–1051.0W27–10UY
Sat 9/30Texas A&M vs Arkansas-6.5W34–2253.5W34–22OY
Sat 10/7Texas A&M vs Alabama+2.5L20–2645.0L20–26ON
Sat 10/14Texas A&M at Tennessee+3.0L13–2054.5L13–20UN
— Bye Week —
Sat 10/28Texas A&M vs South Carolina-17.0W30–1751.5W30–17UN
Sat 11/4Texas A&M at Ole Miss+3.0L35–3852.5L35–38OY
Sat 11/11Texas A&M vs Mississippi State-16.5W51–1040.5W51–10OY
Sat 11/18Texas A&M vs Abilene Christian-40.5W38–1054.5W38–10UN
Sat 11/25Texas A&M at LSU+10.5L30–4267.5L30–42ON
Wed 12/27Texas A&M vs Oklahoma State+4.0L23–3156.0L23–31UN
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2023 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 #67
+0.298
Texas A&M #42
+0.438
Texas A&M Edge
PPA Passing
Pass efficiency edge · Strong predictor
South Carolina #50
+0.615
Texas A&M #41
+0.655
Texas A&M Edge
Havoc Total
Def. disruption rate · Strong predictor
South Carolina #72
0.160
Texas A&M #5
0.216
TFLs, sacks, PBUs, forced fumbles — higher is better
Texas A&M Edge
Points Per Opp
Drive-finishing edge · Strong predictor
South Carolina #51
+6.821
Texas A&M #44
+7.569
Texas A&M Edge
Success Rate
Play consistency edge · Solid predictor
South Carolina #86
+0.778
Texas A&M #54
+0.870
Texas A&M Edge
Field Position
Avg start (lower=better) · Solid predictor
South Carolina #33
69.3
Texas A&M #1
64.5
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 · 2023 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 #69
1.00
Texas A&M #10
2.14
Avg sequences allowed per game (lower is better)
South Carolina #59
1.33
Texas A&M #18
0.71
Texas A&M +1.14
CSS Edge (season-to-date)
Teams with this edge win 71.6% of games historically
Based on 7 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
37.0
Texas A&M #1
59.0
Avg GC score allowed per game (lower is better)
South Carolina #83
42.7
Texas A&M #32
22.6
Texas A&M +22.0
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 7 games this season
Actual Result
CSS Battle
Texas A&M
3 — 0 sequences
✓ Predicted correctly
GC Battle
Texas A&M
59.0 — 18.2 GC score
✓ Predicted correctly
Game Result
Texas A&M won by 13
✓ 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
16–13 (55%) · Yr 3 at school
OC Dowell Loggains Yr 1 #1
DC Clayton White Yr 3 #1
Staff Rating
0.00 #1
Texas A&M
Jimbo Fisher #1
0–0 (0%) · Yr 1 at school
OC Bobby Petrino Yr 1 #1
DC D. J. Durkin 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