Sat, Sep 9 2023
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Week 2
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🏟 Mountaineer Field at Milan Puskar Stadium
Morgantown, WV
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Turf
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60,000 cap
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%
West Virginia wins
Strong
Vegas Spread
West Virginia -38.5
O/U 55.5
William Hill (New Jersey)
Duquesne 2023 Schedule
Duquesne's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/9 | Duquesne at West Virginia | +38.5L17–56 | 55.5 | L17–56 | O | N |
| Sat 9/16 | Duquesne at Coastal Carolina | +35.0L7–66 | 55.5 | L7–66 | O | N |
West Virginia 2023 Schedule
West Virginia's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | West Virginia at Penn State | +21.0L15–38 | 48.0 | L15–38 | O | N |
| Sat 9/9 | West Virginia vs Duquesne | -38.5W56–17 | 55.5 | W56–17 | O | Y |
| Sat 9/16 | West Virginia vs Pittsburgh | -2.5W17–6 | 48.0 | W17–6 | U | Y |
| Sat 9/23 | West Virginia vs Texas Tech | +6.0W20–13 | 53.5 | W20–13 | U | Y |
| Sat 9/30 | West Virginia at TCU | +14.0W24–21 | 52.0 | W24–21 | U | Y |
| — Bye Week — | ||||||
| Thu 10/12 | West Virginia at Houston | -3.0L39–41 | 49.5 | L39–41 | O | N |
| Sat 10/21 | West Virginia vs Oklahoma State | -3.0L34–48 | 48.0 | L34–48 | O | N |
| Sat 10/28 | West Virginia at UCF | +6.5W41–28 | 59.5 | W41–28 | O | Y |
| Sat 11/4 | West Virginia vs BYU | -13.0W37–7 | 48.5 | W37–7 | U | Y |
| Sat 11/11 | West Virginia at Oklahoma | +13.5L20–59 | 59.5 | L20–59 | O | N |
| Sat 11/18 | West Virginia vs Cincinnati | -4.5W42–21 | 52.5 | W42–21 | O | Y |
| Sat 11/25 | West Virginia at Baylor | -6.5W34–31 | 53.5 | W34–31 | O | N |
| Wed 12/27 | West Virginia vs North Carolina | -4.5W30–10 | 62.0 | W30–10 | U | Y |
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 2022 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
West Virginia Edge
West Virginia +22.2
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 ✓