Sat, Sep 19 2026
·
Week 3
·
🏟 Martin Stadium
Pullman, WA
·
Turf
·
32,248 cap
Duquesne✈ 1,891 mi-3 hr TZ
Preseason projection — This game has not yet been played and 2026 in-season data is not yet available.
Edges are based on 2025 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%
Washington State wins
Strong
Duquesne 2026 Schedule
Duquesne's 2026 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/5 | Duquesne at Air Force | -3.5 | — | — | — | — |
| — Bye Week — | ||||||
| Sat 9/19 | Duquesne at Washington State | +1.5 | — | — | — | — |
Washington State 2026 Schedule
Washington State's 2026 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/5 | Washington State at Washington | +18 | — | — | — | — |
| Sat 9/12 | Washington State at Kansas State | +10 | — | — | — | — |
| Sat 9/19 | Washington State vs Duquesne | -22.5 | — | — | — | — |
| Sat 9/26 | Washington State vs Arizona | +9 | — | — | — | — |
| Sat 10/3 | Washington State vs Fresno State | +0.5 | — | — | — | — |
| Fri 10/9 | Washington State at Utah State | -2.5 | — | — | — | — |
| Sat 10/17 | Washington State at Oregon State | -8 | — | — | — | — |
| Sat 10/24 | Washington State vs Boise State | +1.5 | — | — | — | — |
| Sat 10/31 | Washington State at San Diego State | +8.5 | — | — | — | — |
| — Bye Week — | ||||||
| Sat 11/14 | Washington State vs Colorado State | -14 | — | — | — | — |
| Sat 11/21 | Washington State at Texas State | +6.5 | — | — | — | — |
| Sat 11/28 | Washington State vs TBD | -22.5 | — | — | — | — |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Duquesne Edge
Duquesne +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2025 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Washington State Edge
Washington State +51.5
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 2025 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 ✓