Sat, Nov 8 2025
·
Week 11
·
🏟 Scott Stadium
Charlottesville, VA
·
Turf
·
61,500 cap
Wake Forest✈ 162 miSame TZ
Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors Virginia,
while Game Control favors Wake Forest.
Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
58.4%
Virginia wins
Lean
Game Control
49.4%
Wake Forest wins
Toss-up
Vegas Spread
Virginia -7
O/U 48.5
DraftKings
Advanced Stats
Advanced factors are split · No strong agreement signal
↓ See full breakdown
Wake Forest 2025 Schedule
Wake Forest's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Fri 8/29 | Wake Forest vs Kennesaw State | -17.5W10–9 | 51.5 | W10–9 | U | N |
| Sat 9/6 | Wake Forest vs Western Carolina | -17.5W42–10 | 60.5 | W42–10 | U | Y |
| Thu 9/11 | Wake Forest vs NC State | +7.5L24–34 | 52.5 | L24–34 | O | N |
| — Bye Week — | ||||||
| Sat 9/27 | Wake Forest vs Georgia Tech | +13.5L29–30 | 53.5 | L29–30 | O | Y |
| Sat 10/4 | Wake Forest at Virginia Tech | +4.5W30–23 | 51.5 | W30–23 | O | Y |
| Sat 10/11 | Wake Forest at Oregon State | -1.5W39–14 | 47.5 | W39–14 | O | Y |
| — Bye Week — | ||||||
| Sat 10/25 | Wake Forest vs SMU | +6.5W13–12 | 53.5 | W13–12 | U | Y |
| Sat 11/1 | Wake Forest at Florida State | +12.5L7–42 | 50.5 | L7–42 | U | N |
| Sat 11/8 | Wake Forest at Virginia | +7.0W16–9 | 48.5 | W16–9 | U | Y |
| Sat 11/15 | Wake Forest vs North Carolina | -3.5W28–12 | 37.5 | W28–12 | O | Y |
| Sat 11/22 | Wake Forest vs Delaware | -17.5W52–14 | 49.5 | W52–14 | O | Y |
| Sat 11/29 | Wake Forest at Duke | +2.5L32–49 | 54.0 | L32–49 | O | N |
| Fri 1/2 | Wake Forest vs Mississippi State | +3.0W43–29 | 52.5 | W43–29 | O | Y |
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 |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2025 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
Split
Metrics disagree
Elite · 82.4% ATS
PPA + PPO + Havoc
Split
Metrics disagree
Elite · 73.9% ATS
PPA + Success Rate
Split
Metrics disagree
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
PPA Passing
Pass efficiency edge · Strong predictor
Havoc Total
Def. disruption rate · Strong predictor
TFLs, sacks, PBUs, forced fumbles — higher is better
Points Per Opp
Drive-finishing edge · Strong predictor
Success Rate
Play consistency edge · Solid predictor
Field Position
Avg start (lower=better) · Solid predictor
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Advanced stats sourced from CFBD · 2025 season ·
Edges are matchup-adjusted (offense vs opponent defense)
Power Ratings
Team Power Ratings
Overall · Offense · Defense ratings · Updated as season progresses
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Virginia Edge
Virginia +0.52
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 8 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Wake Forest Edge
Wake Forest +1.0
GC Edge (season-to-date)
Teams with this edge win 49.4% of games historically
Based on 9 games this season
Actual Result
CSS Battle
Virginia
1 — 0 sequences
✓ Predicted correctly
GC Battle
Wake Forest
32.8 — 41.2 GC score
✓ Predicted correctly
Game Result
Wake Forest won by 7
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
CSS and GC disagree on this matchup. When the metrics split, historical cover rates are essentially random — treat this as a coin flip against the spread.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Wake Forest
Jake Dickert #1
0–0 (0%)
· Yr 1 at school
OC
Rob Ezell
Yr 1
#1
DC
Scottie Hazelton
Yr 1
#1
Virginia
Tony Elliott #1
11–23 (32%)
· Yr 4 at school
OC
Des Kitchings
Yr 3
#1
DC
John Rudzinski
Yr 3
#1
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 ✓