Sat, Sep 20 2025
·
Week 4
·
🏟 Lane Stadium
Blacksburg, VA
·
Turf
·
66,233 cap
Wofford✈ 177 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 Tech wins
Strong
Vegas Spread
Virginia Tech -35.5
O/U 51.5
Bovada
Wofford 2025 Schedule
Wofford's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/20 | Wofford at Virginia Tech | +35.5L6–38 | 51.5 | L6–38 | U | Y |
Virginia Tech 2025 Schedule
Virginia Tech's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sun 8/31 | Virginia Tech vs South Carolina | +8.5L11–24 | 48.5 | L11–24 | U | N |
| Sat 9/6 | Virginia Tech vs Vanderbilt | -2.5L20–44 | 46.5 | L20–44 | O | N |
| Sat 9/13 | Virginia Tech vs Old Dominion | -5.5L26–45 | 50.5 | L26–45 | O | N |
| Sat 9/20 | Virginia Tech vs Wofford | -35.5W38–6 | 51.5 | W38–6 | U | N |
| Sat 9/27 | Virginia Tech at NC State | +10.0W23–21 | 57.5 | W23–21 | U | Y |
| Sat 10/4 | Virginia Tech vs Wake Forest | -4.5L23–30 | 51.5 | L23–30 | O | N |
| Sat 10/11 | Virginia Tech at Georgia Tech | +14.0L20–35 | 55.5 | L20–35 | U | N |
| — Bye Week — | ||||||
| Fri 10/24 | Virginia Tech vs California | -6.5W42–34 | 50.5 | W42–34 | O | Y |
| Sat 11/1 | Virginia Tech vs Louisville | +10.5L16–28 | 52.5 | L16–28 | U | N |
| — Bye Week — | ||||||
| Sat 11/15 | Virginia Tech at Florida State | +13.5L14–34 | 53.5 | L14–34 | U | N |
| Sat 11/22 | Virginia Tech vs Miami | +18.5L17–34 | 49.0 | L17–34 | O | Y |
| Sat 11/29 | Virginia Tech at Virginia | +9.5L7–27 | 53.5 | L7–27 | U | N |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Wofford Edge
Wofford +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 Tech Edge
Virginia Tech +36.2
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 ✓