Sat, Aug 30 2025
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Week 1
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🏟 Sun Devil Stadium
Tempe, AZ
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Turf
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56,232 cap
Northern Arizona✈ 122 miSame TZ
Preseason projection — This game has not yet been played and 2025 in-season data is not yet available.
Edges are based on 2024 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 State wins
Strong
Vegas Spread
Arizona State -29.5
O/U 52.5
ESPN Bet
Northern Arizona 2025 Schedule
Northern Arizona's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Northern Arizona at Arizona State | +29.5L19–38 | 52.5 | L19–38 | O | Y |
Arizona State 2025 Schedule
Arizona State's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Arizona State vs Northern Arizona | -29.5W38–19 | 52.5 | W38–19 | O | N |
| Sat 9/6 | Arizona State at Mississippi State | -6.0L20–24 | 58.5 | L20–24 | U | N |
| Sat 9/13 | Arizona State vs Texas State | -18.5W34–15 | 61.5 | W34–15 | U | Y |
| Sat 9/20 | Arizona State at Baylor | +3.0W27–24 | 60.5 | W27–24 | U | Y |
| Fri 9/26 | Arizona State vs TCU | -2.5W27–24 | 54.5 | W27–24 | U | Y |
| — Bye Week — | ||||||
| Sat 10/11 | Arizona State at Utah | +9.5L10–42 | 44.5 | L10–42 | O | N |
| Sat 10/18 | Arizona State vs Texas Tech | +7.5W26–22 | 52.5 | W26–22 | U | Y |
| Sat 10/25 | Arizona State vs Houston | -7.0L16–24 | 46.5 | L16–24 | U | N |
| Sat 11/1 | Arizona State at Iowa State | +7.5W24–19 | 48.5 | W24–19 | U | Y |
| — Bye Week — | ||||||
| Sat 11/15 | Arizona State vs West Virginia | -10.0W25–23 | 46.5 | W25–23 | O | N |
| Sat 11/22 | Arizona State at Colorado | -7.0W42–17 | 47.5 | W42–17 | O | Y |
| Fri 11/28 | Arizona State vs Arizona | +2.0L7–23 | 48.5 | L7–23 | U | N |
| Wed 12/31 | Arizona State vs Duke | +4.0L39–42 | 49.5 | L39–42 | 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 2024 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 2024 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 ✓