UCLA at Rutgers Week 8 College Football Matchup UCLA at Rutgers Matchup - Week 8
Sat, Oct 19 2024 · Week 8 · 🏟 SHI Stadium Piscataway, NJ · Turf · 52,454 cap
UCLA✈ 7,213 mi+3 hr TZ
Away
35 32
Final
Home
📊 Punt & Rally Projection
UCLA
19
RUTG -4
Rutgers
27
P&R Line Rutgers -8
P&R Total O/U 46.5
Confidence 75 Good
Vegas Rutgers -4.0 · O/U 42.5
Matchup Prediction
Rutgers has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor Rutgers entering this game.
Momentum Control
58.4%
Rutgers wins
Lean
Game Control
76%
Rutgers wins
Strong
Vegas Spread
Rutgers -4.0
O/U 42.5
Bovada
Advanced Stats
Advanced factors are split · No strong agreement signal
↓ See full breakdown
🏠 Rutgers 2nd straight Home Game
UCLA 2024 Schedule
UCLA's 2024 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 8/31UCLA at Hawai'i-13.5W16–1355.5W16–13UN
— Bye Week —
Sat 9/14UCLA vs Indiana+3.5L13–4246.5L13–42ON
Sat 9/21UCLA at LSU+21.5L17–3456.5L17–34UY
Sat 9/28UCLA vs Oregon+23.5L13–3454.5L13–34UY
Sat 10/5UCLA at Penn State+30.0L11–2748.0L11–27UY
Sat 10/12UCLA vs Minnesota+3.5L17–2139.0L17–21UN
Sat 10/19UCLA at Rutgers+4.0W35–3242.5W35–32OY
— Bye Week —
Sat 11/2UCLA at Nebraska+7.5W27–2038.5W27–20OY
Fri 11/8UCLA vs Iowa+6.5W20–1744.5W20–17UY
Fri 11/15UCLA at Washington+4.5L19–3147.0L19–31ON
Sat 11/23UCLA vs USC+5.0L13–1953.0L13–19UN
Sat 11/30UCLA vs Fresno State-7.5W20–1346.5W20–13UN
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
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2024 season
UCLA 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
UCLA #99
+0.370
Rutgers #84
+0.327
UCLA Edge
PPA Passing
Pass efficiency edge · Strong predictor
UCLA #62
+0.497
Rutgers #75
+0.506
Rutgers Edge
Havoc Total
Def. disruption rate · Strong predictor
UCLA #37
0.181
Rutgers #85
0.147
TFLs, sacks, PBUs, forced fumbles — higher is better
UCLA Edge
Points Per Opp
Drive-finishing edge · Strong predictor
UCLA #123
+7.180
Rutgers #44
+8.639
Rutgers Edge
Success Rate
Play consistency edge · Solid predictor
UCLA #112
+0.823
Rutgers #67
+0.888
Rutgers Edge
Field Position
Avg start (lower=better) · Solid predictor
UCLA #98
72.2
Rutgers #63
70.6
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Rutgers 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
UCLA Rated Higher
Overall Power Rating
UCLA
6.6
Rutgers
-2.0
Offense Rating
UCLA
19.6
Rutgers
14.0
Defense Rating (lower = better defense)
UCLA
13.0
Rutgers
16.0
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? Rutgers Edge
Avg sequences created per game
UCLA #89
0.50
Rutgers #57
1.00
Avg sequences allowed per game (lower is better)
UCLA #98
1.67
Rutgers #29
0.60
Rutgers +0.50
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? Rutgers Edge
Avg GC score per game (offense)
UCLA #1
17.2
Rutgers #1
52.5
Avg GC score allowed per game (lower is better)
UCLA #100
64.1
Rutgers #61
34.8
Rutgers +35.3
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 6 games this season
Actual Result
CSS Battle
Tie
1 — 1 sequences
✗ Predicted incorrectly
GC Battle
UCLA
10.8 — 69.1 GC score
✗ Predicted incorrectly
Game Result
UCLA won by 3
✗ Model missed it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on Rutgers 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
UCLA
DeShaun Foster #1
0–0 (0%) · Yr 1 at school
OC Eric Bieniemy Yr 1 #1
DC Ikaika Malloe Yr 1 #1
Staff Rating
0.00 #1
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
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