USC at California Week 14 College Football Matchup USC at California Matchup - Week 14
Sun, Dec 5 2021 · Week 14 · 🏟 California Memorial Stadium Berkeley, CA · Turf · 62,717 cap
USC✈ 346 miSame TZ
Away
14 24
Final
Home
📊 Punt & Rally Projection
USC
24
CAL -4.5
California
30
P&R Line California -6.5
P&R Total O/U 53.5
Confidence 90 High
Vegas California -4.5 · O/U 57.5
Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors USC, while Game Control favors California. Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
61.3%
USC wins
Lean
Game Control
50.6%
California wins
Toss-up
Vegas Spread
California -4.5
O/U 57.5
consensus
Advanced Stats
All 4 factors agree → California · 83.1% ATS historically when all four align
↓ See full breakdown
USC 2021 Schedule
USC's 2021 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/4USC vs San José State-13.5W30–761.0W30–7UY
Sat 9/11USC vs Stanford-17.0L28–4253.0L28–42ON
Sat 9/18USC at Washington State-7.0W45–1461.0W45–14UY
Sat 9/25USC vs Oregon State-11.0L27–4562.5L27–45ON
Sat 10/2USC at Colorado-9.0W37–1450.5W37–14OY
Sat 10/9USC vs Utah-3.0L26–4252.5L26–42ON
— Bye Week —
Sat 10/23USC at Notre Dame+8.0L16–3159.5L16–31UN
Sat 10/30USC vs Arizona-22.0W41–3455.5W41–34ON
Sat 11/6USC at Arizona State+10.0L16–3161.0L16–31UN
Sat 11/13USC at California-2.052.5
Sat 11/20USC vs UCLA+4.5L33–6266.5L33–62ON
Sat 11/27USC vs BYU+8.5L31–3565.5L31–35OY
Sat 12/4USC at California+4.5L14–2457.5L14–24UN
California 2021 Schedule
California's 2021 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/4California vs Nevada-2.5L17–2252.5L17–22UN
Sat 9/11California at TCU+11.5L32–3446.5L32–34OY
Sat 9/18California vs Sacramento State-24.5W42–3049.0W42–30ON
Sat 9/25California at Washington+7.5L24–3147.5L24–31OY
Sat 10/2California vs Washington State-7.5L6–2152.5L6–21UN
— Bye Week —
Fri 10/15California at Oregon+13.5L17–2453.5L17–24UY
Sat 10/23California vs Colorado-8.0W26–344.0W26–3UY
Sat 10/30California vs Oregon State+2.5W39–2556.5W39–25OY
Sat 11/6California at Arizona-7.0L3–1047.0L3–10UN
Sat 11/13California vs USC+2.052.5
Sat 11/20California at Stanford-2.5W41–1146.0W41–11OY
Sat 11/27California at UCLA+6.5L14–4258.5L14–42UN
Sat 12/4California vs USC-4.5W24–1457.5W24–14UY
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2021 season
California PPA Edge
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ California
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ California
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ California
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
USC
+0.361
California
+0.546
California Edge
PPA Passing
Pass efficiency edge · Strong predictor
USC
+0.467
California
+0.715
California Edge
Havoc Total
Def. disruption rate · Strong predictor
USC
0.140
California
0.162
TFLs, sacks, PBUs, forced fumbles — higher is better
California Edge
Points Per Opp
Drive-finishing edge · Strong predictor
USC
+6.782
California
+8.129
California Edge
Success Rate
Play consistency edge · Solid predictor
USC
+0.897
California
+0.917
California Edge
Field Position
Avg start (lower=better) · Solid predictor
USC
73.2
California
73.7
Avg yards from own endzone to average start — lower is better · longer bar = better field position
USC Edge
Advanced stats sourced from CFBD · 2021 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
USC
17.0
California
5.3
Offense Rating
USC
26.2
California
19.2
Defense Rating (lower = better defense)
USC
9.2
California
14.0
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
USC #14
1.82
California #88
0.90
Avg sequences allowed per game (lower is better)
USC #83
1.18
California #43
0.80
USC +0.92
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 10 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? California Edge
Avg GC score per game (offense)
USC #1
41.2
California #1
46.1
Avg GC score allowed per game (lower is better)
USC #89
47.7
California #60
41.2
California +4.9
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 11 games this season
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
USC
Donte Williams #1
1–0 (100%) · Yr 1 at school
OC Graham Harrell Yr 1 #1
DC Todd Orlando Yr 1 #1
Staff Rating
0.00 #1
California
Justin Wilcox #1
22–23 (49%) · Yr 5 at school
OC Bill Musgrave Yr 1 #1
DC Peter Sirmon 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