Fri, Sep 1 2023
·
Week 1
·
🏟 Sun Devil Stadium
Tempe, AZ
·
Turf
·
56,232 cap
Southern Utah✈ 300 mi-1 hr TZ
Preseason projection — This game has not yet been played and 2023 in-season data is not yet available.
Edges are based on 2022 full-season performance.
Confidence will increase once in-season games are logged.
Matchup Prediction
Arizona State
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Arizona State entering this game.
Momentum Control
58.4%
Arizona State wins
Lean
Game Control
76%
Arizona State wins
Strong
Vegas Spread
Arizona State -34
O/U 60.5
William Hill (New Jersey)
Southern Utah 2023 Schedule
Southern Utah's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/31 | Southern Utah at Arizona State | +34.0L21–24 | 60.5 | L21–24 | U | Y |
| Sat 9/9 | Southern Utah at BYU | +30.5L16–41 | 46.5 | L16–41 | O | Y |
Arizona State 2023 Schedule
Arizona State's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/31 | Arizona State vs Southern Utah | -34.0W24–21 | 60.5 | W24–21 | U | N |
| Sat 9/9 | Arizona State vs Oklahoma State | +2.5L15–27 | 53.5 | L15–27 | U | N |
| Sat 9/16 | Arizona State vs Fresno State | +4.0L0–29 | 48.0 | L0–29 | U | N |
| Sat 9/23 | Arizona State vs USC | +34.5L28–42 | 62.0 | L28–42 | O | Y |
| Sat 9/30 | Arizona State at California | +13.0L21–24 | 47.5 | L21–24 | U | Y |
| Sat 10/7 | Arizona State vs Colorado | +3.0L24–27 | 58.0 | L24–27 | U | Y |
| — Bye Week — | ||||||
| Sat 10/21 | Arizona State at Washington | +28.0L7–15 | 59.5 | L7–15 | U | Y |
| Sat 10/28 | Arizona State vs Washington State | +4.5W38–27 | 49.0 | W38–27 | O | Y |
| Sat 11/4 | Arizona State at Utah | +11.0L3–55 | 40.5 | L3–55 | O | N |
| Sat 11/11 | Arizona State at UCLA | +14.0W17–7 | 45.5 | W17–7 | U | Y |
| Sat 11/18 | Arizona State vs Oregon | +21.5L13–49 | 52.5 | L13–49 | O | N |
| Sat 11/25 | Arizona State vs Arizona | +12.5L23–59 | 48.5 | L23–59 | O | N |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Arizona State Edge
Arizona State +0.55
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2022 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Arizona State Edge
Arizona State +28.1
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 2022 full season · preseason estimate
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 ✓