Sat, Sep 17 2022
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Week 3
·
🏟 Lane Stadium
Blacksburg, VA
·
Turf
·
66,233 cap
Wofford✈ 177 miSame TZ
Preseason projection — This game has not yet been played and 2022 in-season data is not yet available.
Edges are based on 2021 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 -39.0
O/U 45.0
Bovada
Wofford 2022 Schedule
Wofford's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/17 | Wofford at Virginia Tech | +39.0L7–27 | 45.0 | L7–27 | U | Y |
Virginia Tech 2022 Schedule
Virginia Tech's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Fri 9/2 | Virginia Tech at Old Dominion | -6.0L17–20 | 48.5 | L17–20 | U | N |
| Sat 9/10 | Virginia Tech vs Boston College | -2.5W27–10 | 45.0 | W27–10 | U | Y |
| Sat 9/17 | Virginia Tech vs Wofford | -39.0W27–7 | 45.0 | W27–7 | U | N |
| Thu 9/22 | Virginia Tech vs West Virginia | +2.0L10–33 | 49.5 | L10–33 | U | N |
| Sat 10/1 | Virginia Tech at North Carolina | +9.5L10–41 | 57.0 | L10–41 | U | N |
| Sat 10/8 | Virginia Tech at Pittsburgh | +14.5L29–45 | 42.0 | L29–45 | O | N |
| Sat 10/15 | Virginia Tech vs Miami | +9.0L14–20 | 48.5 | L14–20 | U | Y |
| — Bye Week — | ||||||
| Thu 10/27 | Virginia Tech at NC State | +13.0L21–22 | 39.0 | L21–22 | O | Y |
| Sat 11/5 | Virginia Tech vs Georgia Tech | -4.0L27–28 | 40.5 | L27–28 | O | N |
| Sat 11/12 | Virginia Tech at Duke | +10.0L7–24 | 50.0 | L7–24 | U | N |
| Sat 11/19 | Virginia Tech at Liberty | +10.5W23–22 | 46.0 | W23–22 | U | Y |
| Sat 11/26 | Virginia Tech vs Virginia | -1.5 | 40.0 | — | — | — |
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 2021 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Virginia Tech Edge
Virginia Tech +45.5
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 2021 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 ✓