Utah at Arizona Week 12 College Football Matchup Utah at Arizona Matchup - Week 12
Sat, Nov 18 2023 · Week 12 · 🏟 Arizona Stadium Tucson, AZ · Turf · 56,029 cap
Utah✈ 591 mi-1 hr TZ
Away
18 42
Final
Home
📊 Punt & Rally Projection
Utah
20
Arizona
27
P&R Line Arizona -7.5
P&R Total O/U 47
Confidence 90 High
Vegas Arizona -2.5 · O/U 45.5
Matchup Prediction
Utah has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor Utah entering this game.
Momentum Control
61.3%
Utah wins
Lean
Game Control
58.3%
Utah wins
Lean
Vegas Spread
Arizona -2.5
O/U 45.5
ESPN Bet
Advanced Stats
All 4 factors agree → Arizona · 83.1% ATS historically when all four align
↓ See full breakdown
🚌 Utah 2nd straight Road Game
Utah 2023 Schedule
Utah's 2023 Schedule
DateMatchupSpreadTotalResultO/UCover
Thu 8/31Utah vs Florida-5.5W24–1144.5W24–11UY
Sat 9/9Utah at Baylor-7.0W20–1346.5W20–13UN
Sat 9/16Utah vs Weber State-26.5W31–744.0W31–7UN
Sat 9/23Utah vs UCLA-3.0W14–750.5W14–7UY
Fri 9/29Utah at Oregon State+4.0L7–2143.0L7–21UN
— Bye Week —
Sat 10/14Utah vs California-9.0W34–1442.5W34–14OY
Sat 10/21Utah at USC+7.5W34–3251.5W34–32OY
Sat 10/28Utah vs Oregon+6.5L6–3547.5L6–35UN
Sat 11/4Utah vs Arizona State-11.0W55–340.5W55–3OY
Sat 11/11Utah at Washington+9.5L28–3548.5L28–35OY
Sat 11/18Utah at Arizona+2.5L18–4245.5L18–42ON
Sat 11/25Utah vs Colorado-21.5W23–1743.5W23–17UN
Sat 12/23Utah vs Northwestern-6.5L7–1444.5L7–14UN
Arizona 2023 Schedule
Arizona's 2023 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/2Arizona vs Northern Arizona-28.5W38–361.0W38–3UY
Sat 9/9Arizona at Mississippi State+9.0L24–3160.0L24–31UY
Sat 9/16Arizona vs UTEP-18.0W31–1057.0W31–10UY
Sat 9/23Arizona at Stanford-13.0W21–2060.0W21–20UN
Sat 9/30Arizona vs Washington+20.0L24–3166.0L24–31UY
Sat 10/7Arizona at USC+21.0L41–4369.5L41–43OY
Sat 10/14Arizona at Washington State+7.5W44–657.5W44–6UY
— Bye Week —
Sat 10/28Arizona vs Oregon State+3.0W27–2457.5W27–24UY
Sat 11/4Arizona vs UCLA+2.5W27–1050.0W27–10UY
Sat 11/11Arizona at Colorado-6.0W34–3155.5W34–31ON
Sat 11/18Arizona vs Utah-2.5W42–1845.5W42–18OY
Sat 11/25Arizona at Arizona State-12.5W59–2348.5W59–23OY
Thu 12/28Arizona vs Oklahoma-2.5W38–2459.5W38–24OY
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2023 season
Arizona PPA Edge
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Arizona
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Arizona
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Arizona
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
Utah #112
+0.270
Arizona #10
+0.484
Arizona Edge
PPA Passing
Pass efficiency edge · Strong predictor
Utah #117
+0.384
Arizona #15
+0.646
Arizona Edge
Havoc Total
Def. disruption rate · Strong predictor
Utah #53
0.168
Arizona #50
0.170
TFLs, sacks, PBUs, forced fumbles — higher is better
Arizona Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Utah #107
+6.663
Arizona #29
+7.898
Arizona Edge
Success Rate
Play consistency edge · Solid predictor
Utah #89
+0.823
Arizona #6
+0.870
Arizona Edge
Field Position
Avg start (lower=better) · Solid predictor
Utah #59
70.4
Arizona #52
70.1
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Arizona Edge
Advanced stats sourced from CFBD · 2023 season · Edges are matchup-adjusted (offense vs opponent defense)
Power Ratings
Team Power Ratings
Overall · Offense · Defense ratings · Updated as season progresses
Arizona Rated Higher
Overall Power Rating
Utah
7.3
Arizona
9.6
Offense Rating
Utah
18.2
Arizona
21.5
Defense Rating (lower = better defense)
Utah
10.9
Arizona
11.9
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
Utah #66
1.22
Arizona #8
1.11
Avg sequences allowed per game (lower is better)
Utah #17
0.56
Arizona #11
0.33
Utah +0.11
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 9 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
52.2
Arizona #1
48.0
Avg GC score allowed per game (lower is better)
Utah #60
32.7
Arizona #31
32.6
Utah +4.3
GC Edge (season-to-date)
Teams with this edge win 58.3% of games historically
Based on 10 games this season
Actual Result
CSS Battle
Tie
1 — 1 sequences
✗ Predicted incorrectly
GC Battle
Arizona
94.4 — 2.9 GC score
✗ Predicted incorrectly
Game Result
Arizona won by 24
✗ Model missed it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on Utah, 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
Utah
Kyle Whittingham #1
157–74 (68%) · Yr 19 at school
OC Andy Ludwig Yr 3 #1
DC Morgan Scalley Yr 3 #1
Staff Rating
0.00 #1
Arizona
Jedd Fisch #1
8–19 (30%) · Yr 3 at school
OC Brennan Carroll Yr 3 #1
DC Johnny Nansen 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