Washington at UCLA Week 5 College Football Matchup Washington at UCLA Matchup - Week 5
Sat, Oct 1 2022 · Week 5 · 🏟 Rose Bowl Pasadena, CA · Turf · 92,542 cap
Washington✈ 956 miSame TZ
32 40
Final
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📊 Punt & Rally Projection
Washington
32
UCLA +2.5
UCLA
34
P&R Line UCLA -2
P&R Total O/U 66
Confidence 75 Good
Vegas Washington -2.5 · O/U 65.0
Matchup Prediction
Washington has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor Washington entering this game.
Momentum Control
73.7%
Washington wins
Solid
Game Control
64.9%
Washington wins
Lean
Vegas Spread
Washington -2.5
O/U 65.0
teamrankings
Advanced Stats
Advanced factors are split · No strong agreement signal
↓ See full breakdown
Washington 2022 Schedule
Washington's 2022 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/3Washington vs Kent State-23.5W45–2061.5W45–20OY
Sat 9/10Washington vs Portland State-31.0W52–655.0W52–6OY
Sat 9/17Washington vs Michigan State-3.5W39–2856.5W39–28OY
Sat 9/24Washington vs Stanford-14.0W40–2262.5W40–22UY
Fri 9/30Washington at UCLA-2.5L32–4065.0L32–40ON
Sat 10/8Washington at Arizona State-13.5L38–4556.0L38–45ON
Sat 10/15Washington vs Arizona-14.5W49–3971.5W49–39ON
Sat 10/22Washington at California-7.5W28–2154.5W28–21UN
— Bye Week —
Fri 11/4Washington vs Oregon State-4.5W24–2153.5W24–21UN
Sat 11/12Washington at Oregon+12.0W37–3473.0W37–34UY
Sat 11/19Washington vs Colorado-30.5W54–761.5W54–7UY
Sat 11/26Washington at Washington State-2.0W51–3360.0W51–33OY
Thu 12/29Washington vs Texas+3.0W27–2067.0W27–20UY
UCLA 2022 Schedule
UCLA's 2022 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/3UCLA vs Bowling Green-24.0W45–1756.5W45–17OY
Sat 9/10UCLA vs Alabama State-48.5W45–761.5W45–7UN
Sat 9/17UCLA vs South Alabama-15.5W32–3159.5W32–31ON
Sat 9/24UCLA at Colorado-22.0W45–1757.0W45–17OY
Fri 9/30UCLA vs Washington+2.5W40–3265.0W40–32OY
Sat 10/8UCLA vs Utah+3.0W42–3264.5W42–32OY
— Bye Week —
Sat 10/22UCLA at Oregon+7.0L30–4570.5L30–45ON
Sat 10/29UCLA vs Stanford-16.5W38–1364.5W38–13UY
Sat 11/5UCLA at Arizona State-11.0W50–3666.5W50–36OY
Sat 11/12UCLA vs Arizona-19.5L28–3476.5L28–34UN
Sat 11/19UCLA vs USC+2.5L45–4876.5L45–48ON
Fri 11/25UCLA at California-11.5W35–2862.5W35–28ON
Fri 12/30UCLA vs Pittsburgh-9.0L35–3755.0L35–37ON
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2022 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
Washington
+0.603
UCLA
+0.612
UCLA Edge
PPA Passing
Pass efficiency edge · Strong predictor
Washington
+0.737
UCLA
+0.741
UCLA Edge
Havoc Total
Def. disruption rate · Strong predictor
Washington
0.141
UCLA
0.125
TFLs, sacks, PBUs, forced fumbles — higher is better
Washington Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Washington
+9.029
UCLA
+8.471
Washington Edge
Success Rate
Play consistency edge · Solid predictor
Washington
+0.984
UCLA
+0.983
Washington Edge
Field Position
Avg start (lower=better) · Solid predictor
Washington
69.8
UCLA
70.6
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Washington Edge
Advanced stats sourced from CFBD · 2022 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 #16
2.67
UCLA #40
1.33
Avg sequences allowed per game (lower is better)
Washington #25
0.33
UCLA #31
0.67
Washington +1.33
CSS Edge (season-to-date)
Teams with this edge win 73.7% of games historically
Based on 3 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
94.8
UCLA #1
80.8
Avg GC score allowed per game (lower is better)
Washington #11
2.7
UCLA #20
10.4
Washington +14.0
GC Edge (season-to-date)
Teams with this edge win 64.9% of games historically
Based on 4 games this season
Actual Result
CSS Battle
UCLA
2 — 1 sequences
✗ Predicted incorrectly
GC Battle
UCLA
65.6 — 20.8 GC score
✗ Predicted incorrectly
Game Result
UCLA won by 8
✗ Model missed it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on Washington with a moderate edge in both. This is the strongest ATS signal in our backtest: teams in this situation have covered 55.8% of the time (n=113).

ATS data is informational only. Past cover rates do not guarantee future results.

Coaching Matchup
Washington
Kalen DeBoer #1
0–0 (0%) · Yr 1 at school
OC Ryan Grubb Yr 1 #1
DC William Inge Yr 1 #1
Staff Rating
0.00 #1
UCLA
Chip Kelly #1
18–25 (42%) · Yr 5 at school
OC Chip Kelly Yr 1 #1
DC Bill McGovern 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