Matchup Prediction
Clemson
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Clemson entering this game.
Momentum Control
71.6%
Clemson wins
Solid
Game Control
76%
Clemson wins
Strong
Vegas Spread
Clemson -20
O/U 57.5
DraftKings
Advanced Stats
All 4 factors agree → Clemson
· 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 |
Clemson 2024 Schedule
Clemson's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Clemson vs Georgia | +10.5L3–34 | 49.0 | L3–34 | U | N |
| Sat 9/7 | Clemson vs App State | -13.5W66–20 | 53.5 | W66–20 | O | Y |
| — Bye Week — | ||||||
| Sat 9/21 | Clemson vs NC State | -17.0W59–35 | 44.0 | W59–35 | O | Y |
| Sat 9/28 | Clemson vs Stanford | -24.0W40–14 | 58.0 | W40–14 | U | Y |
| Sat 10/5 | Clemson at Florida State | -16.5W29–13 | 47.0 | W29–13 | U | N |
| Sat 10/12 | Clemson at Wake Forest | -21.0W49–14 | 63.0 | W49–14 | U | Y |
| Sat 10/19 | Clemson vs Virginia | -20.0W48–31 | 57.5 | W48–31 | O | N |
| — Bye Week — | ||||||
| Sat 11/2 | Clemson vs Louisville | -11.0L21–33 | 62.5 | L21–33 | U | N |
| Sat 11/9 | Clemson at Virginia Tech | -6.5W24–14 | 54.5 | W24–14 | U | Y |
| Sat 11/16 | Clemson at Pittsburgh | -12.0W24–20 | 52.0 | W24–20 | U | N |
| Sat 11/23 | Clemson vs The Citadel | -49.5W51–14 | 58.5 | W51–14 | O | N |
| Sat 11/30 | Clemson vs South Carolina | -2.5L14–17 | 48.5 | L14–17 | U | N |
| Sat 12/7 | Clemson vs SMU | +2.5W34–31 | 56.5 | W34–31 | O | Y |
| Sat 12/21 | Clemson at Texas | +13.5L24–38 | 49.5 | L24–38 | O | 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
→ Clemson
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Clemson
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Clemson
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?
Clemson Edge
Clemson +1.53
CSS Edge (season-to-date)
Teams with this edge win 71.6% of games historically
Based on 6 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Clemson Edge
Clemson +29.9
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 6 games this season
Actual Result
CSS Battle
Clemson
3 — 1 sequences
✓ Predicted correctly
GC Battle
Clemson
63.4 — 15.1 GC score
✓ Predicted correctly
Game Result
Clemson won by 17
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Clemson with a large edge. Historically, dominant teams like this are fully priced into the spread — the agreed-upon team covers just 50.2% of the time. The metrics predict game control better than they beat the number.
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
Clemson
Dabo Swinney #1
170–43 (80%)
· Yr 16 at school
OC
Garrett Riley
Yr 2
#1
DC
Mickey Conn
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 ✓