Sat, Aug 30 2025
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Week 1
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🏟 Martin Stadium
Pullman, WA
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Turf
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32,248 cap
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
67.1%
Washington State wins
Solid
Vegas Spread
Washington State -16.5
O/U 50.5
ESPN Bet
Idaho 2025 Schedule
Idaho's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Idaho at Washington State | +16.5L10–13 | 50.5 | L10–13 | U | Y |
| — Bye Week — | ||||||
| Sat 9/20 | Idaho at San José State | +14.5L28–31 | 51.5 | L28–31 | O | Y |
Washington State 2025 Schedule
Washington State's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Washington State vs Idaho | -16.5W13–10 | 50.5 | W13–10 | U | N |
| Sat 9/6 | Washington State vs San Diego State | -2.0W36–13 | 46.5 | W36–13 | O | Y |
| Sat 9/13 | Washington State at North Texas | +6.5L10–59 | 57.5 | L10–59 | O | N |
| Sat 9/20 | Washington State vs Washington | +21.0L24–59 | 51.5 | L24–59 | O | N |
| Sat 9/27 | Washington State at Colorado State | +4.5W20–3 | 48.5 | W20–3 | U | Y |
| — Bye Week — | ||||||
| Sat 10/11 | Washington State at Ole Miss | +33.5L21–24 | 58.5 | L21–24 | U | Y |
| Sat 10/18 | Washington State at Virginia | +16.5L20–22 | 56.5 | L20–22 | U | Y |
| Sat 10/25 | Washington State vs Toledo | +1.5W28–7 | 44.5 | W28–7 | U | Y |
| Sat 11/1 | Washington State at Oregon State | -3.5L7–10 | 47.5 | L7–10 | U | N |
| — Bye Week — | ||||||
| Sat 11/15 | Washington State vs Louisiana Tech | -10.0W28–3 | 43.5 | W28–3 | U | Y |
| Sat 11/22 | Washington State at James Madison | +15.0L20–24 | 44.5 | L20–24 | U | Y |
| Sat 11/29 | Washington State vs Oregon State | -14.0W32–8 | 42.5 | W32–8 | U | Y |
| Mon 12/22 | Washington State vs Utah State | +1.0W34–21 | 50.0 | W34–21 | O | Y |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Idaho Edge
Idaho +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?
Washington State Edge
Washington State +16.6
GC Edge (season-to-date)
Teams with this edge win 67.1% 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 ✓

