Utah at UCLA Week 6 College Football Matchup Utah at UCLA Matchup - Week 6
Sat, Oct 8 2022 · Week 6 · 🏟 Rose Bowl Pasadena, CA · Turf · 92,542 cap
Utah✈ 572 mi-1 hr TZ
Away
32 42
Final
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📊 Punt & Rally Projection
Utah
33
UCLA
31
P&R Line Utah -1.5
P&R Total O/U 63.5
Confidence 75 Good
Vegas Utah -3 · O/U 64.5
Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors UCLA, while Game Control favors Utah. Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
58.4%
UCLA wins
Lean
Game Control
58.3%
Utah wins
Lean
Vegas Spread
Utah -3
O/U 64.5
teamrankings
Advanced Stats
Advanced factors are split · No strong agreement signal
↓ See full breakdown
🏠 UCLA 2nd straight Home Game
Utah 2022 Schedule
Utah's 2022 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/3Utah at Florida-2.5L26–2952.0L26–29ON
Sat 9/10Utah vs Southern Utah-45.5W73–758.5W73–7OY
Sat 9/17Utah vs San Diego State-21.5W35–748.0W35–7UY
Sat 9/24Utah at Arizona State-16.5W34–1354.0W34–13UY
Sat 10/1Utah vs Oregon State-10.5W42–1654.0W42–16OY
Sat 10/8Utah at UCLA-3.0L32–4264.5L32–42ON
Sat 10/15Utah vs USC-3.5W43–4265.0W43–42ON
— Bye Week —
Thu 10/27Utah at Washington State-7.5W21–1756.5W21–17UN
Sat 11/5Utah vs Arizona-17.5W45–2067.5W45–20UY
Sat 11/12Utah vs Stanford-23.5W42–754.0W42–7UY
Sat 11/19Utah at Oregon-2.5L17–2060.0L17–20UN
Sat 11/26Utah at Colorado-30.0W63–2152.0W63–21OY
Fri 12/2Utah vs USC+3.0W47–2467.5W47–24OY
Mon 1/2Utah vs Penn State+1.5L21–3555.5L21–35ON
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
Utah
+0.513
UCLA
+0.544
UCLA Edge
PPA Passing
Pass efficiency edge · Strong predictor
Utah
+0.558
UCLA
+0.575
UCLA Edge
Havoc Total
Def. disruption rate · Strong predictor
Utah
0.192
UCLA
0.125
TFLs, sacks, PBUs, forced fumbles — higher is better
Utah Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Utah
+8.372
UCLA
+8.362
Utah Edge
Success Rate
Play consistency edge · Solid predictor
Utah
+0.978
UCLA
+0.930
Utah Edge
Field Position
Avg start (lower=better) · Solid predictor
Utah
67.8
UCLA
70.6
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Utah 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
Utah Rated Higher
Overall Power Rating
Utah
7.3
UCLA
6.6
Offense Rating
Utah
18.2
UCLA
19.6
Defense Rating (lower = better defense)
Utah
10.9
UCLA
12.9
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? UCLA Edge
Avg sequences created per game
Utah #34
1.20
UCLA #40
1.50
Avg sequences allowed per game (lower is better)
Utah #33
0.40
UCLA #31
0.75
UCLA +0.30
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 4 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? Utah Edge
Avg GC score per game (offense)
Utah #1
84.3
UCLA #1
77.8
Avg GC score allowed per game (lower is better)
Utah #27
7.0
UCLA #20
12.5
Utah +6.5
GC Edge (season-to-date)
Teams with this edge win 58.3% of games historically
Based on 5 games this season
Actual Result
CSS Battle
UCLA
2 — 0 sequences
✓ Predicted correctly
GC Battle
UCLA
64.1 — 14.8 GC score
✗ Predicted incorrectly
Game Result
UCLA won by 10
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
Utah
Kyle Whittingham #1
144–70 (67%) · Yr 18 at school
OC Andy Ludwig Yr 2 #1
DC Morgan Scalley Yr 2 #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