UCLA at Utah Week 9 College Football Matchup UCLA at Utah Matchup - Week 9
Sun, Oct 31 2021 · Week 9 · 🏟 Rice-Eccles Stadium Salt Lake City, UT · Turf · 45,807 cap
UCLA✈ 572 mi+1 hr TZ
Away
24 44
Final
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📊 Punt & Rally Projection
UCLA
26
UTAH -6
Utah
34
P&R Line Utah -8.5
P&R Total O/U 59.5
Confidence 75 Good
Vegas Utah -6 · O/U 60.5
Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors Utah, while Game Control favors UCLA. Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
58.4%
Utah wins
Lean
Game Control
58.3%
UCLA wins
Lean
Vegas Spread
Utah -6
O/U 60.5
teamrankings
Advanced Stats
Advanced factors are split · No strong agreement signal
↓ See full breakdown
UCLA 2021 Schedule
UCLA's 2021 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 8/28UCLA vs Hawai'i-17.5W44–1067.0W44–10UY
Sat 9/4UCLA vs LSU+2.0W38–2764.0W38–27OY
— Bye Week —
Sat 9/18UCLA vs Fresno State-11.0L37–4064.0L37–40ON
Sat 9/25UCLA at Stanford-4.0W35–2460.5W35–24UY
Sat 10/2UCLA vs Arizona State-3.0L23–4256.5L23–42ON
Sat 10/9UCLA at Arizona-16.0W34–1660.0W34–16UY
Sat 10/16UCLA at Washington+1.5W24–1755.5W24–17UY
Sat 10/23UCLA vs Oregon-1.0L31–3462.5L31–34ON
Sat 10/30UCLA at Utah+6.0L24–4460.5L24–44ON
— Bye Week —
Sat 11/13UCLA vs Colorado-18.0W44–2057.5W44–20OY
Sat 11/20UCLA at USC-4.5W62–3366.5W62–33OY
Sat 11/27UCLA vs California-6.5W42–1458.5W42–14UY
Tue 12/28UCLA vs NC State+2.060.0
Utah 2021 Schedule
Utah's 2021 Schedule
DateMatchupSpreadTotalResultO/UCover
Thu 9/2Utah vs Weber State-29.5W40–1749.0W40–17ON
Sat 9/11Utah at BYU-7.0L17–2650.0L17–26UN
Sat 9/18Utah at San Diego State-8.0L31–3342.5L31–33ON
Sat 9/25Utah vs Washington State-15.0W24–1353.5W24–13UN
— Bye Week —
Sat 10/9Utah at USC+3.0W42–2652.5W42–26OY
Sat 10/16Utah vs Arizona State-1.0W35–2151.0W35–21OY
Sat 10/23Utah at Oregon State-3.0L34–4257.5L34–42ON
Sat 10/30Utah vs UCLA-6.0W44–2460.5W44–24OY
Fri 11/5Utah at Stanford-10.0W52–752.0W52–7OY
Sat 11/13Utah at Arizona-24.0W38–2954.5W38–29ON
Sat 11/20Utah vs Oregon-3.0W38–758.5W38–7UY
Fri 11/26Utah vs Colorado-24.0W28–1352.5W28–13UN
Fri 12/3Utah vs Oregon-3.0W38–1057.5W38–10UY
Sat 1/1Utah vs Ohio State+4.5L45–4864.5L45–48OY
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2021 season
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
UCLA
+0.522
Utah
+0.522
Even
PPA Passing
Pass efficiency edge · Strong predictor
UCLA
+0.604
Utah
+0.541
UCLA Edge
Havoc Total
Def. disruption rate · Strong predictor
UCLA
0.169
Utah
0.203
TFLs, sacks, PBUs, forced fumbles — higher is better
Utah Edge
Points Per Opp
Drive-finishing edge · Strong predictor
UCLA
+7.250
Utah
+8.015
Utah Edge
Success Rate
Play consistency edge · Solid predictor
UCLA
+0.889
Utah
+0.926
Utah Edge
Field Position
Avg start (lower=better) · Solid predictor
UCLA
68.9
Utah
68.0
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Utah 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
Utah Rated Higher
Overall Power Rating
UCLA
6.6
Utah
7.3
Offense Rating
UCLA
19.6
Utah
18.2
Defense Rating (lower = better defense)
UCLA
13.0
Utah
10.8
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? Utah Edge
Avg sequences created per game
UCLA #17
1.25
Utah #10
1.50
Avg sequences allowed per game (lower is better)
UCLA #18
0.38
Utah #21
0.67
Utah +0.25
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 6 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? UCLA Edge
Avg GC score per game (offense)
UCLA #1
59.2
Utah #1
51.0
Avg GC score allowed per game (lower is better)
UCLA #33
23.9
Utah #12
31.0
UCLA +8.2
GC Edge (season-to-date)
Teams with this edge win 58.3% of games historically
Based on 7 games this season
Actual Result
CSS Battle
Utah
1 — 0 sequences
✓ Predicted correctly
GC Battle
Utah
95.4 — 3.6 GC score
✗ Predicted incorrectly
Game Result
Utah won by 20
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
UCLA
Chip Kelly #1
12–22 (35%) · Yr 4 at school
OC Justin Frye Yr 1 #1
DC Jerry Azzinaro Yr 1 #1
Staff Rating
0.00 #1
Utah
Kyle Whittingham #1
135–68 (67%) · Yr 17 at school
OC Andy Ludwig Yr 1 #1
DC Morgan Scalley 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