Rutgers at USC Week 9 College Football Matchup Rutgers at USC Matchup - Week 9
Sat, Oct 26 2024 · Week 9 · 🏟 Los Angeles Memorial Coliseum Los Angeles, CA · Turf · 93,607 cap
Rutgers✈ 2,425 mi-3 hr TZ
Away
20 42
Final
USC
Home
📊 Punt & Rally Projection
Rutgers
24
USC
31
P&R Line USC -7
P&R Total O/U 55.5
Confidence 86 High
Vegas USC -14.0 · O/U 57.0
Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors USC, while Game Control favors Rutgers. Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
58.4%
USC wins
Lean
Game Control
49.4%
Rutgers wins
Toss-up
Vegas Spread
USC -14.0
O/U 57.0
Bovada
Advanced Stats
PPA + Success Rate agree → USC · 73.9% ATS historically
↓ See full breakdown
Rutgers 2024 Schedule
Rutgers's 2024 Schedule
DateMatchupSpreadTotalResultO/UCover
Thu 8/29Rutgers vs Howard-38.5W44–751.5W44–7UN
Sat 9/7Rutgers vs Akron-24.5W49–1741.5W49–17OY
— Bye Week —
Sat 9/21Rutgers at Virginia Tech+3.0W26–2345.0W26–23OY
Fri 9/27Rutgers vs Washington-1.5W21–1844.5W21–18UY
Sat 10/5Rutgers at Nebraska+7.0L7–1439.5L7–14UY
Sat 10/12Rutgers vs Wisconsin-1.0L7–4243.5L7–42ON
Sat 10/19Rutgers vs UCLA-4.0L32–3542.5L32–35ON
Fri 10/25Rutgers at USC+14.0L20–4257.0L20–42ON
— Bye Week —
Sat 11/9Rutgers vs Minnesota+6.5W26–1944.5W26–19OY
Sat 11/16Rutgers at Maryland+4.5W31–1754.5W31–17UY
Sat 11/23Rutgers vs Illinois-2.0L31–3848.0L31–38ON
Sat 11/30Rutgers at Michigan State+1.5W41–1446.5W41–14OY
Thu 12/26Rutgers vs Kansas State+7.5L41–4451.5L41–44OY
USC 2024 Schedule
USC's 2024 Schedule
DateMatchupSpreadTotalResultO/UCover
Sun 9/1USC vs LSU+4.0W27–2066.5W27–20UY
Sat 9/7USC vs Utah State-30.5W48–062.5W48–0UY
— Bye Week —
Sat 9/21USC at Michigan-4.0L24–2744.0L24–27ON
Sat 9/28USC vs Wisconsin-14.0W38–2150.5W38–21OY
Sat 10/5USC at Minnesota-8.5L17–2445.5L17–24UN
Sat 10/12USC vs Penn State+3.5L30–3351.5L30–33OY
Sat 10/19USC at Maryland-6.5L28–2956.5L28–29ON
Fri 10/25USC vs Rutgers-14.0W42–2057.0W42–20OY
Sat 11/2USC at Washington-2.0L21–2655.0L21–26UN
— Bye Week —
Sat 11/16USC vs Nebraska-6.5W28–2051.0W28–20UY
Sat 11/23USC at UCLA-5.0W19–1353.0W19–13UY
Sat 11/30USC vs Notre Dame+6.5L35–4952.5L35–49ON
Fri 12/27USC vs Texas A&M+3.5W35–3156.5W35–31OY
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2024 season
USC 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
Both Agree
→ USC
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
Rutgers #84
+0.346
USC #41
+0.470
USC Edge
PPA Passing
Pass efficiency edge · Strong predictor
Rutgers #75
+0.446
USC #74
+0.480
USC Edge
Havoc Total
Def. disruption rate · Strong predictor
Rutgers #85
0.147
USC #105
0.140
TFLs, sacks, PBUs, forced fumbles — higher is better
Rutgers Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Rutgers #44
+7.825
USC #85
+7.791
Rutgers Edge
Success Rate
Play consistency edge · Solid predictor
Rutgers #67
+0.867
USC #11
+0.917
USC Edge
Field Position
Avg start (lower=better) · Solid predictor
Rutgers #63
70.6
USC #6
66.3
Avg yards from own endzone to average start — lower is better · longer bar = better field position
USC Edge
Advanced stats sourced from CFBD · 2024 season · Edges are matchup-adjusted (offense vs opponent defense)
Power Ratings
Team Power Ratings
Overall · Offense · Defense ratings · Updated as season progresses
USC Rated Higher
Overall Power Rating
Rutgers
-2.0
USC
17.0
Offense Rating
Rutgers
13.9
USC
26.2
Defense Rating (lower = better defense)
Rutgers
15.9
USC
9.1
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? USC Edge
Avg sequences created per game
Rutgers #57
1.00
USC #24
1.29
Avg sequences allowed per game (lower is better)
Rutgers #29
0.67
USC #10
0.29
USC +0.29
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 7 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? Rutgers Edge
Avg GC score per game (offense)
Rutgers #1
46.6
USC #1
46.1
Avg GC score allowed per game (lower is better)
Rutgers #61
39.7
USC #33
27.9
Rutgers +0.5
GC Edge (season-to-date)
Teams with this edge win 49.4% of games historically
Based on 7 games this season
Actual Result
CSS Battle
USC
1 — 0 sequences
✓ Predicted correctly
GC Battle
USC
88.7 — 5.6 GC score
✗ Predicted incorrectly
Game Result
USC won by 22
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

CSS and GC disagree on this matchup. When the metrics split, historical cover rates are essentially random — treat this as a coin flip against the spread.

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

Coaching Matchup
Rutgers
Greg Schiano #1
19–28 (40%) · Yr 5 at school
OC Kirk Ciarrocca Yr 2 #1
DC Joe Harasymiak Yr 3 #1
Staff Rating
0.00 #1
USC
Lincoln Riley #1
19–8 (70%) · Yr 3 at school
OC Josh Henson Yr 3 #1
DC D'Anton Lynn Yr 1 #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