Sat, Sep 13 2025
·
Week 3
·
🏟 Scott Stadium
Charlottesville, VA
·
Turf
·
61,500 cap
William & Mary✈ 111 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%
Virginia wins
Strong
Vegas Spread
Virginia -30.5
O/U 54.5
DraftKings
William & Mary 2025 Schedule
William & Mary's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/13 | William & Mary at Virginia | +30.5L16–55 | 54.5 | L16–55 | O | N |
Virginia 2025 Schedule
Virginia's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Virginia vs Coastal Carolina | -12.5W48–7 | 57.5 | W48–7 | U | Y |
| Sat 9/6 | Virginia at NC State | +3.0L31–35 | 53.0 | L31–35 | O | N |
| Sat 9/13 | Virginia vs William & Mary | -30.5W55–16 | 54.5 | W55–16 | O | Y |
| Sat 9/20 | Virginia vs Stanford | -16.5W48–20 | 48.5 | W48–20 | O | Y |
| Fri 9/26 | Virginia vs Florida State | +7.0W46–38 | 59.5 | W46–38 | O | Y |
| Sat 10/4 | Virginia at Louisville | +6.5W30–27 | 59.5 | W30–27 | U | Y |
| — Bye Week — | ||||||
| Sat 10/18 | Virginia vs Washington State | -16.5W22–20 | 56.5 | W22–20 | U | N |
| Sat 10/25 | Virginia at North Carolina | -12.5W17–16 | 51.5 | W17–16 | U | N |
| Sat 11/1 | Virginia at California | -6.5W31–21 | 52.5 | W31–21 | U | Y |
| Sat 11/8 | Virginia vs Wake Forest | -7.0L9–16 | 48.5 | L9–16 | U | N |
| Sat 11/15 | Virginia at Duke | +5.5W34–17 | 59.5 | W34–17 | U | Y |
| — Bye Week — | ||||||
| Sat 11/29 | Virginia vs Virginia Tech | -9.5W27–7 | 53.5 | W27–7 | U | Y |
| Sat 12/6 | Virginia vs Duke | -3.5L20–27 | 58.5 | L20–27 | U | N |
| Sat 12/27 | Virginia vs Missouri | +4.0W13–7 | 43.5 | W13–7 | U | Y |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
William & Mary Edge
William & Mary +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?
Virginia Edge
Virginia +25.6
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 ✓