Texas A&M at South Carolina Week 8 College Football Matchup Texas A&M at South Carolina Matchup - Week 8
Sat, Oct 22 2022 · Week 8 · 🏟 Williams-Brice Stadium Columbia, SC · Turf · 80,250 cap
Texas A&M✈ 923 mi+1 hr TZ
24 30
Final
📊 Punt & Rally Projection
Texas A&M
22
SC +3
South Carolina
28
P&R Line South Carolina -6
P&R Total O/U 49
Confidence 75 Good
Vegas Texas A&M -3 · O/U 44.5
Matchup Prediction
South Carolina has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor South Carolina entering this game.
Momentum Control
58.4%
South Carolina wins
Lean
Game Control
67.1%
South Carolina wins
Solid
Vegas Spread
Texas A&M -3
O/U 44.5
teamrankings
Advanced Stats
Advanced factors are split · No strong agreement signal
↓ See full breakdown
🛋 South Carolina Coming off BYE 🛋 Texas A&M Coming off BYE
Texas A&M 2022 Schedule
Texas A&M's 2022 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/3Texas A&M vs Sam Houston-36.5W31–054.0W31–0UN
Sat 9/10Texas A&M vs App State-18.0L14–1754.0L14–17UN
Sat 9/17Texas A&M vs Miami-6.5W17–945.5W17–9UY
Sat 9/24Texas A&M vs Arkansas-1.5W23–2151.0W23–21UY
Sat 10/1Texas A&M at Mississippi State+4.0L24–4245.0L24–42ON
Sat 10/8Texas A&M at Alabama+24.0L20–2448.0L20–24UY
— Bye Week —
Sat 10/22Texas A&M at South Carolina-3.0L24–3044.5L24–30ON
Sat 10/29Texas A&M vs Ole Miss+3.0L28–3155.5L28–31OY
Sat 11/5Texas A&M vs Florida-1.5L24–4153.5L24–41ON
Sat 11/12Texas A&M at Auburn+1.5L10–1348.0L10–13UN
Sat 11/19Texas A&M vs Massachusetts-32.0W20–346.0W20–3UN
Sat 11/26Texas A&M vs LSU+10.0W38–2347.5W38–23OY
South Carolina 2022 Schedule
South Carolina's 2022 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/3South Carolina vs Georgia State-12.5W35–1455.0W35–14UY
Sat 9/10South Carolina at Arkansas+9.0L30–4456.0L30–44ON
Sat 9/17South Carolina vs Georgia+25.5L7–4856.0L7–48UN
Sat 9/24South Carolina vs Charlotte-23.5W56–2066.5W56–20OY
Thu 9/29South Carolina vs South Carolina State-40.5W50–1057.0W50–10ON
Sat 10/8South Carolina at Kentucky+4.0W24–1445.0W24–14UY
— Bye Week —
Sat 10/22South Carolina vs Texas A&M+3.0W30–2444.5W30–24OY
Sat 10/29South Carolina vs Missouri-3.5L10–2345.5L10–23UN
Sat 11/5South Carolina at Vanderbilt-6.5W38–2749.0W38–27OY
Sat 11/12South Carolina at Florida+8.0L6–3858.0L6–38UN
Sat 11/19South Carolina vs Tennessee+22.5W63–3866.5W63–38OY
Sat 11/26South Carolina at Clemson+14.0W31–3053.0W31–30OY
Fri 12/30South Carolina vs Notre Dame+5.0L38–4550.5L38–45ON
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2022 season
South Carolina PPA Edge
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
Split
Metrics disagree
Elite · 82.4% ATS
PPA + PPO + Havoc
Split
Metrics disagree
Elite · 73.9% ATS
PPA + Success Rate
Split
Metrics disagree
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
Texas A&M
+0.332
South Carolina
+0.347
South Carolina Edge
PPA Passing
Pass efficiency edge · Strong predictor
Texas A&M
+0.371
South Carolina
+0.457
South Carolina Edge
Havoc Total
Def. disruption rate · Strong predictor
Texas A&M
0.160
South Carolina
0.156
TFLs, sacks, PBUs, forced fumbles — higher is better
Texas A&M Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Texas A&M
+7.898
South Carolina
+7.580
Texas A&M Edge
Success Rate
Play consistency edge · Solid predictor
Texas A&M
+0.856
South Carolina
+0.815
Texas A&M Edge
Field Position
Avg start (lower=better) · Solid predictor
Texas A&M
72.4
South Carolina
69.8
Avg yards from own endzone to average start — lower is better · longer bar = better field position
South Carolina Edge
Advanced stats sourced from CFBD · 2022 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
Texas A&M
14.3
South Carolina
5.3
Offense Rating
Texas A&M
22.5
South Carolina
18.3
Defense Rating (lower = better defense)
Texas A&M
8.2
South Carolina
13.0
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? South Carolina Edge
Avg sequences created per game
Texas A&M #92
0.50
South Carolina #52
1.20
Avg sequences allowed per game (lower is better)
Texas A&M #23
0.67
South Carolina #120
1.80
South Carolina +0.70
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 5 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? South Carolina Edge
Avg GC score per game (offense)
Texas A&M #1
42.4
South Carolina #1
56.6
Avg GC score allowed per game (lower is better)
Texas A&M #83
41.6
South Carolina #73
34.6
South Carolina +14.2
GC Edge (season-to-date)
Teams with this edge win 67.1% of games historically
Based on 6 games this season
Actual Result
CSS Battle
Tie
1 — 1 sequences
✗ Predicted incorrectly
GC Battle
South Carolina
66.5 — 16.3 GC score
✓ Predicted correctly
Game Result
South Carolina won by 6
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on South Carolina with a solid GC edge. Teams with this profile have covered 53.0% of the time historically (n=330) — a mild lean.

ATS data is informational only. Past cover rates do not guarantee future results.

Coaching Matchup
Texas A&M
Jimbo Fisher #1
34–14 (71%) · Yr 5 at school
OC Darrell Dickey Yr 2 #1
DC D. J. Durkin Yr 1 #1
Staff Rating
0.00 #1
South Carolina
Shane Beamer #1
7–6 (54%) · Yr 2 at school
OC Marcus Satterfield Yr 2 #1
DC Clayton White 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: 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