Sat, Oct 14 2023
·
Week 7
·
🏟 Rice-Eccles Stadium
Salt Lake City, UT
·
Turf
·
45,807 cap
California✈ 590 mi+1 hr TZ
Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors California,
while Game Control favors Utah.
Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
61.3%
California wins
Lean
Game Control
67.1%
Utah wins
Solid
Vegas Spread
Utah -9.0
O/U 42.5
Bovada
Advanced Stats
Advanced factors are split · No strong agreement signal
↓ See full breakdown
California 2023 Schedule
California's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | California at North Texas | -5.0W58–21 | 53.5 | W58–21 | O | Y |
| Sat 9/9 | California vs Auburn | +5.0L10–14 | 55.5 | L10–14 | U | Y |
| Sat 9/16 | California vs Idaho | -14.5W31–17 | 52.5 | W31–17 | U | N |
| Sat 9/23 | California at Washington | +21.0L32–59 | 55.5 | L32–59 | O | N |
| Sat 9/30 | California vs Arizona State | -13.0W24–21 | 47.5 | W24–21 | U | N |
| Sat 10/7 | California vs Oregon State | +7.5L40–52 | 51.0 | L40–52 | O | N |
| Sat 10/14 | California at Utah | +9.0L14–34 | 42.5 | L14–34 | O | N |
| — Bye Week — | ||||||
| Sat 10/28 | California vs USC | +10.5L49–50 | 67.5 | L49–50 | O | Y |
| Sat 11/4 | California at Oregon | +26.5L19–63 | 61.5 | L19–63 | O | N |
| Sat 11/11 | California vs Washington State | -1.5W42–39 | 58.5 | W42–39 | O | Y |
| Sat 11/18 | California at Stanford | -6.5W27–15 | 52.5 | W27–15 | U | Y |
| Sat 11/25 | California at UCLA | +9.5W33–7 | 50.5 | W33–7 | U | Y |
| Sat 12/16 | California vs Texas Tech | +3.5L14–34 | 54.5 | L14–34 | U | N |
Utah 2023 Schedule
Utah's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/31 | Utah vs Florida | -5.5W24–11 | 44.5 | W24–11 | U | Y |
| Sat 9/9 | Utah at Baylor | -7.0W20–13 | 46.5 | W20–13 | U | N |
| Sat 9/16 | Utah vs Weber State | -26.5W31–7 | 44.0 | W31–7 | U | N |
| Sat 9/23 | Utah vs UCLA | -3.0W14–7 | 50.5 | W14–7 | U | Y |
| Fri 9/29 | Utah at Oregon State | +4.0L7–21 | 43.0 | L7–21 | U | N |
| — Bye Week — | ||||||
| Sat 10/14 | Utah vs California | -9.0W34–14 | 42.5 | W34–14 | O | Y |
| Sat 10/21 | Utah at USC | +7.5W34–32 | 51.5 | W34–32 | O | Y |
| Sat 10/28 | Utah vs Oregon | +6.5L6–35 | 47.5 | L6–35 | U | N |
| Sat 11/4 | Utah vs Arizona State | -11.0W55–3 | 40.5 | W55–3 | O | Y |
| Sat 11/11 | Utah at Washington | +9.5L28–35 | 48.5 | L28–35 | O | Y |
| Sat 11/18 | Utah at Arizona | +2.5L18–42 | 45.5 | L18–42 | O | N |
| Sat 11/25 | Utah vs Colorado | -21.5W23–17 | 43.5 | W23–17 | U | N |
| Sat 12/23 | Utah vs Northwestern | -6.5L7–14 | 44.5 | L7–14 | U | N |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2023 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
PPA Passing
Pass efficiency edge · Strong predictor
Havoc Total
Def. disruption rate · Strong predictor
TFLs, sacks, PBUs, forced fumbles — higher is better
Points Per Opp
Drive-finishing edge · Strong predictor
Success Rate
Play consistency edge · Solid predictor
Field Position
Avg start (lower=better) · Solid predictor
Avg yards from own endzone to average start — lower is better · longer bar = better field position
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
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
California Edge
California +0.70
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 4 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Utah Edge
Utah +16.4
GC Edge (season-to-date)
Teams with this edge win 67.1% of games historically
Based on 5 games this season
Actual Result
CSS Battle
Utah
4 — 0 sequences
✗ Predicted incorrectly
GC Battle
Utah
58.3 — 18.1 GC score
✓ Predicted correctly
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
California
Justin Wilcox #1
32–37 (46%)
· Yr 7 at school
OC
Jake Spavital
Yr 1
#1
DC
Peter Sirmon
Yr 3
#1
Utah
Kyle Whittingham #1
157–74 (68%)
· Yr 19 at school
OC
Andy Ludwig
Yr 3
#1
DC
Morgan Scalley
Yr 3
#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: CSS is not a predictive 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: GS is not a predictive 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 ✓
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: CSS is not a predictive 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: GS is not a predictive 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 ✓