California at Arizona Week 10 College Football Matchup California at Arizona Matchup - Week 10
Sat, Nov 6 2021 · Week 10 · 🏟 Arizona Stadium Tucson, AZ · Turf · 56,029 cap
California✈ 747 miSame TZ
3 10
Final
Home
📊 Punt & Rally Projection
California
30
CAL -7
Arizona
17
P&R Line California -13.5
P&R Total O/U 46.5
Confidence 86 High
Vegas California -7 · O/U 47.0
Matchup Prediction
California has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor California entering this game.
Momentum Control
61.3%
California wins
Lean
Game Control
75.9%
California wins
Solid
Vegas Spread
California -7
O/U 47.0
teamrankings
Advanced Stats
PPA + Success Rate agree → California · 73.9% ATS historically
↓ See full breakdown
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
Arizona 2021 Schedule
Arizona's 2021 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/4Arizona vs BYU+13.5L16–2454.0L16–24UY
Sat 9/11Arizona vs San Diego State-1.5L14–3846.0L14–38ON
Sat 9/18Arizona vs Northern Arizona-26.5L19–2153.5L19–21UN
Sat 9/25Arizona at Oregon+29.5L19–4158.5L19–41OY
— Bye Week —
Sat 10/9Arizona vs UCLA+16.0L16–3460.0L16–34UN
Sat 10/16Arizona at Colorado+6.0L0–3446.5L0–34UN
Fri 10/22Arizona vs Washington+17.5L16–2145.5L16–21UY
Sat 10/30Arizona at USC+22.0L34–4155.5L34–41OY
Sat 11/6Arizona vs California+7.0W10–347.0W10–3UY
Sat 11/13Arizona vs Utah+24.0L29–3854.5L29–38OY
Fri 11/19Arizona at Washington State+15.0L18–4452.5L18–44ON
Sat 11/27Arizona at Arizona State+20.0L15–3852.5L15–38ON
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
Split
Metrics disagree
Elite · 82.4% ATS
PPA + PPO + Havoc
Split
Metrics disagree
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ California
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
California
+0.466
Arizona
+0.206
California Edge
PPA Passing
Pass efficiency edge · Strong predictor
California
+0.581
Arizona
+0.273
California Edge
Havoc Total
Def. disruption rate · Strong predictor
California
0.162
Arizona
0.168
TFLs, sacks, PBUs, forced fumbles — higher is better
Arizona Edge
Points Per Opp
Drive-finishing edge · Strong predictor
California
+8.225
Arizona
+5.573
California Edge
Success Rate
Play consistency edge · Solid predictor
California
+0.859
Arizona
+0.823
California Edge
Field Position
Avg start (lower=better) · Solid predictor
California
73.7
Arizona
74.7
Avg yards from own endzone to average start — lower is better · longer bar = better field position
California 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
Arizona Rated Higher
Overall Power Rating
California
5.3
Arizona
9.6
Offense Rating
California
19.2
Arizona
21.5
Defense Rating (lower = better defense)
California
14.0
Arizona
11.9
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? California Edge
Avg sequences created per game
California #88
0.71
Arizona #121
0.29
Avg sequences allowed per game (lower is better)
California #43
0.71
Arizona #40
1.14
California +0.43
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 7 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? California Edge
Avg GC score per game (offense)
California #1
47.4
Arizona #1
16.9
Avg GC score allowed per game (lower is better)
California #60
43.0
Arizona #127
76.9
California +30.5
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 8 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on California 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
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
Arizona
Jedd Fisch #1
0–3 (0%) · Yr 1 at school
OC Brennan Carroll Yr 1 #1
DC Don Brown 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