Washington at UCLA Week 13 College Football Matchup Washington at UCLA Matchup - Week 13
Sat, Nov 22 2025 · Week 13 · 🏟 Rose Bowl Pasadena, CA · Turf · 92,542 cap
Washington✈ 956 miSame TZ
48 14
Final
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📊 Punt & Rally Projection
Washington
34
WASH -10.5
UCLA
18
P&R Line Washington -16
P&R Total O/U 51.5
Confidence 90 High
Vegas Washington -10.5 · O/U 51.5
Matchup Prediction
Washington has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor Washington entering this game.
Momentum Control
61.3%
Washington wins
Lean
Game Control
75.9%
Washington wins
Solid
Vegas Spread
Washington -10.5
O/U 51.5
ESPN Bet
Advanced Stats
All 4 factors agree → Washington · 83.1% ATS historically when all four align
↓ See full breakdown
Washington 2025 Schedule
Washington's 2025 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 8/30Washington vs Colorado State-20.5W38–2152.5W38–21ON
Sat 9/6Washington vs UC Davis-28.0W70–1054.0W70–10OY
— Bye Week —
Sat 9/20Washington at Washington State-21.0W59–2451.5W59–24OY
Sat 9/27Washington vs Ohio State+9.5L6–2452.5L6–24UN
Sat 10/4Washington at Maryland-5.5W24–2052.5W24–20UN
Fri 10/10Washington vs Rutgers-9.5W38–1962.5W38–19UY
Sat 10/18Washington at Michigan+4.5L7–2450.5L7–24UN
Sat 10/25Washington vs Illinois-3.5W42–2554.5W42–25OY
— Bye Week —
Sat 11/8Washington at Wisconsin-10.5L10–1344.5L10–13UN
Sat 11/15Washington vs Purdue-14.5W49–1351.5W49–13OY
Sat 11/22Washington at UCLA-10.5W48–1451.5W48–14OY
Sat 11/29Washington vs Oregon+6.5L14–2651.5L14–26UN
Sat 12/13Washington vs Boise State-9.5W38–1055.5W38–10UY
UCLA 2025 Schedule
UCLA's 2025 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 8/30UCLA vs Utah+6.5L10–4350.5L10–43ON
Sat 9/6UCLA at UNLV-2.5L23–3054.5L23–30UN
Fri 9/12UCLA vs New Mexico-15.5L10–3552.5L10–35UN
— Bye Week —
Sat 9/27UCLA at Northwestern+6.0L14–1745.5L14–17UY
Sat 10/4UCLA vs Penn State+24.5W42–3748.5W42–37OY
Sat 10/11UCLA at Michigan State+7.0W38–1351.5W38–13UY
Sat 10/18UCLA vs Maryland-3.5W20–1752.5W20–17UN
Sat 10/25UCLA at Indiana+26.5L6–5653.5L6–56ON
— Bye Week —
Sat 11/8UCLA vs Nebraska-1.5L21–2845.5L21–28ON
Sat 11/15UCLA at Ohio State+33.5L10–4846.5L10–48ON
Sat 11/22UCLA vs Washington+10.5L14–4851.5L14–48ON
Sat 11/29UCLA at USC+21.0L10–2959.0L10–29UY
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2025 season
Washington PPA Edge
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Washington
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Washington
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Washington
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
Washington #18
+0.540
UCLA #96
+0.201
Washington Edge
PPA Passing
Pass efficiency edge · Strong predictor
Washington #29
+0.709
UCLA #126
+0.294
Washington Edge
Havoc Total
Def. disruption rate · Strong predictor
Washington #94
0.146
UCLA #130
0.120
TFLs, sacks, PBUs, forced fumbles — higher is better
Washington Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Washington #15
+9.184
UCLA #124
+5.914
Washington Edge
Success Rate
Play consistency edge · Solid predictor
Washington #6
+0.997
UCLA #75
+0.811
Washington Edge
Field Position
Avg start (lower=better) · Solid predictor
Washington #75
71.1
UCLA #129
73.6
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Washington Edge
Advanced stats sourced from CFBD · 2025 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
Washington
17.5
UCLA
6.6
Offense Rating
Washington
24.6
UCLA
19.6
Defense Rating (lower = better defense)
Washington
7.1
UCLA
13.0
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
Washington #46
1.33
UCLA #89
0.70
Avg sequences allowed per game (lower is better)
Washington #81
1.11
UCLA #119
2.00
Washington +0.63
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? Washington Edge
Avg GC score per game (offense)
Washington #1
54.4
UCLA #1
25.3
Avg GC score allowed per game (lower is better)
Washington #36
29.8
UCLA #132
64.9
Washington +29.1
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 10 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on Washington 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
Washington
Jedd Fisch #1
6–6 (50%) · Yr 2 at school
OC Jimmie Dougherty Yr 1 #1
DC Ryan Walters Yr 1 #1
Staff Rating
0.00 #1
UCLA
DeShaun Foster #1
5–7 (42%) · Yr 2 at school
OC Tino Sunseri Yr 1 #1
DC Ikaika Malloe Yr 2 #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