California at Washington Week 4 College Football Matchup California at Washington Matchup - Week 4
Sun, Sep 26 2021 · Week 4 · 🏟 Husky Stadium Seattle, WA · Turf · 70,500 cap
California✈ 675 miSame TZ
24 31
Final
Home
📊 Punt & Rally Projection
California
24
CAL +7.5
Washington
23
P&R Line California -1.5
P&R Total O/U 46.5
Confidence 90 High
Vegas Washington -7.5 · O/U 47.5
Matchup Prediction
Washington has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor Washington entering this game.
Momentum Control
71.6%
Washington wins
Solid
Game Control
50.6%
Washington wins
Toss-up
Vegas Spread
Washington -7.5
O/U 47.5
teamrankings
Advanced Stats
All 4 factors agree → California · 83.1% ATS historically when all four align
↓ See full breakdown
🏠 Washington 2nd straight Home Game
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
Washington 2021 Schedule
Washington's 2021 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/4Washington vs Montana-22.5L7–1354.0L7–13UN
Sat 9/11Washington at Michigan+6.5L10–3147.5L10–31UN
Sat 9/18Washington vs Arkansas State-17.5W52–358.5W52–3UY
Sat 9/25Washington vs California-7.5W31–2447.5W31–24ON
Sat 10/2Washington at Oregon State+2.5L24–2757.5L24–27UN
— Bye Week —
Sat 10/16Washington vs UCLA-1.5L17–2455.5L17–24UN
Fri 10/22Washington at Arizona-17.5W21–1645.5W21–16UN
Sat 10/30Washington at Stanford+2.5W20–1345.5W20–13UY
Sat 11/6Washington vs Oregon+7.0L16–2648.0L16–26UN
Sat 11/13Washington vs Arizona State+6.0L30–3545.5L30–35OY
Sat 11/20Washington at Colorado-6.5L17–2043.0L17–20UN
Fri 11/26Washington vs Washington State-1.0L13–4045.0L13–40ON
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
California
+0.407
Washington
+0.299
California Edge
PPA Passing
Pass efficiency edge · Strong predictor
California
+0.349
Washington
+0.413
Washington Edge
Havoc Total
Def. disruption rate · Strong predictor
California
0.162
Washington
0.147
TFLs, sacks, PBUs, forced fumbles — higher is better
California Edge
Points Per Opp
Drive-finishing edge · Strong predictor
California
+7.351
Washington
+6.786
California Edge
Success Rate
Play consistency edge · Solid predictor
California
+0.872
Washington
+0.858
California Edge
Field Position
Avg start (lower=better) · Solid predictor
California
73.7
Washington
72.7
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Washington 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
Washington Rated Higher
Overall Power Rating
California
5.3
Washington
17.5
Offense Rating
California
19.2
Washington
24.6
Defense Rating (lower = better defense)
California
14.0
Washington
7.1
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? Washington Edge
Avg sequences created per game
California #88
0.50
Washington #98
2.00
Avg sequences allowed per game (lower is better)
California #43
1.50
Washington #53
0.00
Washington +1.50
CSS Edge (season-to-date)
Teams with this edge win 71.6% of games historically
Based on 2 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? Washington Edge
Avg GC score per game (offense)
California #1
55.1
Washington #1
58.6
Avg GC score allowed per game (lower is better)
California #60
32.9
Washington #68
36.2
Washington +3.4
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 3 games this season
Actual Result
CSS Battle
Washington
1 — 0 sequences
✓ Predicted correctly
GC Battle
Washington
85.2 — 8.4 GC score
✓ Predicted correctly
Game Result
Washington won by 7
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on Washington, but the GC edge is small. When metrics agree but GC is near-neutral, the agreed-upon team has covered only 46.7% of the time historically (n=224) — potentially a fade signal.

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
Washington
Jimmy Lake #1
4–3 (57%) · Yr 2 at school
OC John Donovan Yr 1 #1
DC Ikaika Malloe 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