Sat, Aug 30 2025
·
Week 1
·
🏟 Scott Stadium
Charlottesville, VA
·
Turf
·
61,500 cap
Coastal Carolina✈ 294 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
50.6%
—
Toss-up
Vegas Spread
Virginia -12.5
O/U 57.5
DraftKings
Advanced Stats
All 4 factors agree → Virginia
· 83.1% ATS historically when all four align
↓ See full breakdown
Coastal Carolina 2025 Schedule
Coastal Carolina's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Coastal Carolina at Virginia | +12.5L7–48 | 57.5 | L7–48 | U | N |
| Sat 9/6 | Coastal Carolina vs Charleston Southern | -28.5W13–0 | 49.0 | W13–0 | U | N |
| Sat 9/13 | Coastal Carolina vs East Carolina | +7.0L0–38 | 58.0 | L0–38 | U | N |
| Sat 9/20 | Coastal Carolina at South Alabama | +14.5W38–20 | 51.5 | W38–20 | O | Y |
| — Bye Week — | ||||||
| Sat 10/4 | Coastal Carolina at Old Dominion | +18.5L7–47 | 53.5 | L7–47 | O | N |
| Sat 10/11 | Coastal Carolina vs UL Monroe | +3.0W23–8 | 46.5 | W23–8 | U | Y |
| Sat 10/18 | Coastal Carolina at App State | +10.5W45–37 | 48.5 | W45–37 | O | Y |
| — Bye Week — | ||||||
| Thu 10/30 | Coastal Carolina vs Marshall | +7.5W44–27 | 55.5 | W44–27 | O | Y |
| Sat 11/8 | Coastal Carolina vs Georgia State | -7.0W40–27 | 56.5 | W40–27 | O | Y |
| Sat 11/15 | Coastal Carolina at Georgia Southern | +3.0L40–45 | 59.5 | L40–45 | O | N |
| Sat 11/22 | Coastal Carolina at South Carolina | +24.0L7–51 | 50.0 | L7–51 | O | N |
| Sat 11/29 | Coastal Carolina vs James Madison | +24.0L10–59 | 54.5 | L10–59 | O | N |
| Tue 12/30 | Coastal Carolina vs Louisiana Tech | +10.0L14–23 | 51.0 | L14–23 | U | 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
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 · 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?
Coastal Carolina Edge
Coastal Carolina +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?
Coastal Carolina Edge
Coastal Carolina +0.0
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 0 games this season
Actual Result
CSS Battle
Virginia
3 — 0 sequences
✗ Predicted incorrectly
GC Battle
Virginia
81.0 — 5.8 GC score
✗ Predicted incorrectly
Game Result
Virginia won by 41
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Virginia, but the GC edge is small. When metrics agree but GC is near-neutral, the agreed-upon team has covered only 46.7% of the time historically (n=224) — potentially a fade signal.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Coastal Carolina
Tim Beck* #1
14–11 (56%)
· Yr 3 at school
OC
Tim Beck*
Yr 1
#1
DC
Craig Naivar
Yr 3
#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 ✓