Sat, Sep 7 2024
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Week 2
·
🏟 Mountaineer Field at Milan Puskar Stadium
Morgantown, WV
·
Turf
·
60,000 cap
UAlbany✈ 381 miSame TZ
Preseason projection — This game has not yet been played and 2024 in-season data is not yet available.
Edges are based on 2023 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%
West Virginia wins
Solid
Vegas Spread
West Virginia -38.5
O/U 53.5
ESPN Bet
UAlbany 2024 Schedule
UAlbany's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/7 | UAlbany at West Virginia | +38.5L14–49 | 53.5 | L14–49 | O | Y |
West Virginia 2024 Schedule
West Virginia's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | West Virginia vs Penn State | +7.5L12–34 | 48.0 | L12–34 | U | N |
| Sat 9/7 | West Virginia vs UAlbany | -38.5W49–14 | 53.5 | W49–14 | O | N |
| Sat 9/14 | West Virginia at Pittsburgh | -2.5L34–38 | 60.5 | L34–38 | O | N |
| Sat 9/21 | West Virginia vs Kansas | -1.5W32–28 | 56.0 | W32–28 | O | Y |
| — Bye Week — | ||||||
| Sat 10/5 | West Virginia at Oklahoma State | +2.5W38–14 | 65.0 | W38–14 | U | Y |
| Sat 10/12 | West Virginia vs Iowa State | +3.0L16–28 | 54.0 | L16–28 | U | N |
| Sat 10/19 | West Virginia vs Kansas State | +2.5L18–45 | 56.5 | L18–45 | O | N |
| Sat 10/26 | West Virginia at Arizona | +5.5W31–26 | 51.5 | W31–26 | O | Y |
| — Bye Week — | ||||||
| Sat 11/9 | West Virginia at Cincinnati | +5.5W31–24 | 54.5 | W31–24 | O | Y |
| Sat 11/16 | West Virginia vs Baylor | +2.0L35–49 | 60.0 | L35–49 | O | N |
| Sat 11/23 | West Virginia vs UCF | +3.0W31–21 | 60.0 | W31–21 | U | Y |
| Sat 11/30 | West Virginia at Texas Tech | +2.5L15–52 | 61.5 | L15–52 | O | N |
| Tue 12/17 | West Virginia vs Memphis | +5.0L37–42 | 60.0 | L37–42 | O | Y |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
UAlbany Edge
UAlbany +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2023 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
West Virginia Edge
West Virginia +19.9
GC Edge (season-to-date)
Teams with this edge win 67.1% of games historically
Based on 2023 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 ✓