Sun, Sep 3 2023
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Week 1
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🏟 Arizona Stadium
Tucson, AZ
·
Turf
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56,029 cap
Northern Arizona✈ 207 miSame 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
Toss-up — no clear edge
Neither metric shows a meaningful pre-game edge in this matchup.
Momentum Control
58.4%
—
Lean
Game Control
76%
Arizona wins
Strong
Vegas Spread
Arizona -28.5
O/U 61.0
William Hill (New Jersey)
Northern Arizona 2023 Schedule
Northern Arizona's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Northern Arizona at Arizona | +28.5L3–38 | 61.0 | L3–38 | U | N |
Arizona 2023 Schedule
Arizona's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Arizona vs Northern Arizona | -28.5W38–3 | 61.0 | W38–3 | U | Y |
| Sat 9/9 | Arizona at Mississippi State | +9.0L24–31 | 60.0 | L24–31 | U | Y |
| Sat 9/16 | Arizona vs UTEP | -18.0W31–10 | 57.0 | W31–10 | U | Y |
| Sat 9/23 | Arizona at Stanford | -13.0W21–20 | 60.0 | W21–20 | U | N |
| Sat 9/30 | Arizona vs Washington | +20.0L24–31 | 66.0 | L24–31 | U | Y |
| Sat 10/7 | Arizona at USC | +21.0L41–43 | 69.5 | L41–43 | O | Y |
| Sat 10/14 | Arizona at Washington State | +7.5W44–6 | 57.5 | W44–6 | U | Y |
| — Bye Week — | ||||||
| Sat 10/28 | Arizona vs Oregon State | +3.0W27–24 | 57.5 | W27–24 | U | Y |
| Sat 11/4 | Arizona vs UCLA | +2.5W27–10 | 50.0 | W27–10 | U | Y |
| Sat 11/11 | Arizona at Colorado | -6.0W34–31 | 55.5 | W34–31 | O | N |
| Sat 11/18 | Arizona vs Utah | -2.5W42–18 | 45.5 | W42–18 | O | Y |
| Sat 11/25 | Arizona at Arizona State | -12.5W59–23 | 48.5 | W59–23 | O | Y |
| Thu 12/28 | Arizona vs Oklahoma | -2.5W38–24 | 59.5 | W38–24 | O | Y |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Northern Arizona Edge
Northern Arizona +0.00
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 Edge
Arizona +28.2
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: 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 ✓
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 ✓