Sat, Sep 7 2024
·
Week 2
·
🏟 BB&T Field
Winston-Salem, NC
·
Turf
·
31,500 cap
Virginia✈ 162 miSame TZ
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
75.9%
Virginia wins
Solid
Vegas Spread
Virginia -1.5
O/U 55.5
ESPN Bet
Advanced Stats
All 4 factors agree → Virginia
· 83.1% ATS historically when all four align
↓ See full breakdown
Virginia 2024 Schedule
Virginia's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Virginia vs Richmond | -21 | — | — | — | — |
| Sat 9/7 | Virginia at Wake Forest | -1.5W31–30 | 55.5 | W31–30 | O | N |
| Sat 9/14 | Virginia vs Maryland | -2.5L13–27 | 55.5 | L13–27 | U | N |
| Sat 9/21 | Virginia at Coastal Carolina | -3.5W43–24 | 52.0 | W43–24 | O | Y |
| — Bye Week — | ||||||
| Sat 10/5 | Virginia vs Boston College | -2.0W24–14 | 52.5 | W24–14 | U | Y |
| Sat 10/12 | Virginia vs Louisville | +7.0L20–24 | 54.0 | L20–24 | U | Y |
| Sat 10/19 | Virginia at Clemson | +20.0L31–48 | 57.5 | L31–48 | O | Y |
| Sat 10/26 | Virginia vs North Carolina | -3.5L14–41 | 58.5 | L14–41 | U | N |
| — Bye Week — | ||||||
| Sat 11/9 | Virginia at Pittsburgh | +7.5W24–19 | 56.5 | W24–19 | U | Y |
| Sat 11/16 | Virginia at Notre Dame | +20.5L14–35 | 51.0 | L14–35 | U | N |
| Sat 11/23 | Virginia vs SMU | +11.5L7–33 | 54.5 | L7–33 | U | N |
| Sat 11/30 | Virginia at Virginia Tech | +4.5L17–37 | 44.5 | L17–37 | O | N |
Wake Forest 2024 Schedule
Wake Forest's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/29 | Wake Forest vs North Carolina A&T | -20.5 | — | — | — | — |
| Sat 9/7 | Wake Forest vs Virginia | +1.5L30–31 | 55.5 | L30–31 | O | Y |
| Sat 9/14 | Wake Forest vs Ole Miss | +20.5L6–40 | 65.5 | L6–40 | U | N |
| — Bye Week — | ||||||
| Sat 9/28 | Wake Forest vs Louisiana | -3.0L38–41 | 59.5 | L38–41 | O | N |
| Sat 10/5 | Wake Forest at NC State | +4.0W34–30 | 52.5 | W34–30 | O | Y |
| Sat 10/12 | Wake Forest vs Clemson | +21.0L14–49 | 63.0 | L14–49 | U | N |
| Sat 10/19 | Wake Forest at UConn | -2.5W23–20 | 55.5 | W23–20 | U | Y |
| Sat 10/26 | Wake Forest at Stanford | -3.0W27–24 | 53.0 | W27–24 | U | N |
| — Bye Week — | ||||||
| Fri 11/8 | Wake Forest vs California | +7.5L36–46 | 54.5 | L36–46 | O | N |
| Sat 11/16 | Wake Forest at North Carolina | +10.5L24–31 | 64.5 | L24–31 | U | Y |
| Sat 11/23 | Wake Forest at Miami | +23.5L14–42 | 67.0 | L14–42 | U | N |
| Sat 11/30 | Wake Forest vs Duke | +3.5L17–23 | 53.5 | L17–23 | U | N |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2024 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Virginia
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Virginia
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Virginia
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 · 2024 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 +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 0 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Virginia Edge
Virginia +26.8
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 1 game this season
Actual Result
CSS Battle
Tie
1 — 1 sequences
✗ Predicted incorrectly
GC Battle
Wake Forest
60.9 — 21.2 GC score
✗ Predicted incorrectly
Game Result
Virginia won by 1
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
Virginia
Tony Elliott #1
6–16 (27%)
· Yr 3 at school
OC
Des Kitchings
Yr 3
#1
DC
John Rudzinski
Yr 3
#1
Wake Forest
Dave Clawson #1
63–61 (51%)
· Yr 11 at school
OC
Warren Ruggiero
Yr 3
#1
DC
Brad Lambert
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: CSS is not a predictive 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: GS is not a predictive 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: CSS is not a predictive 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: GS is not a predictive 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 ✓