Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors Virginia,
while Game Control favors NC State.
Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
71.6%
Virginia wins
Solid
Game Control
75.9%
NC State wins
Solid
Vegas Spread
NC State -8.5
O/U 47.5
William Hill (New Jersey)
Advanced Stats
All 4 factors agree → NC State
· 83.1% ATS historically when all four align
↓ See full breakdown
NC State 2023 Schedule
NC State's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/31 | NC State at UConn | -14.5W24–14 | 47.5 | W24–14 | U | N |
| Sat 9/9 | NC State vs Notre Dame | +7.0L24–45 | 49.5 | L24–45 | O | N |
| Sat 9/16 | NC State vs VMI | -42.5W45–7 | 51.0 | W45–7 | O | N |
| Fri 9/22 | NC State at Virginia | -8.5W24–21 | 47.5 | W24–21 | U | N |
| Fri 9/29 | NC State vs Louisville | +3.5L10–13 | 56.5 | L10–13 | U | Y |
| Sat 10/7 | NC State vs Marshall | -6.5W48–41 | 44.0 | W48–41 | O | Y |
| Sat 10/14 | NC State at Duke | +3.5L3–24 | 44.0 | L3–24 | U | N |
| — Bye Week — | ||||||
| Sat 10/28 | NC State vs Clemson | +9.5W24–17 | 44.5 | W24–17 | U | Y |
| Sat 11/4 | NC State vs Miami | +6.5W20–6 | 44.0 | W20–6 | U | Y |
| Sat 11/11 | NC State at Wake Forest | +0.5W26–6 | 42.5 | W26–6 | U | Y |
| Sat 11/18 | NC State at Virginia Tech | +2.5W35–28 | 40.5 | W35–28 | O | Y |
| Sat 11/25 | NC State vs North Carolina | +2.0W39–20 | 55.0 | W39–20 | O | Y |
| Thu 12/28 | NC State vs Kansas State | +3.0L19–28 | 48.5 | L19–28 | U | N |
Virginia 2023 Schedule
Virginia's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Virginia vs Tennessee | +27.5L13–49 | 56.0 | L13–49 | O | N |
| Sat 9/9 | Virginia vs James Madison | +6.0L35–36 | 40.0 | L35–36 | O | Y |
| Fri 9/15 | Virginia at Maryland | +16.5L14–42 | 48.5 | L14–42 | O | N |
| Fri 9/22 | Virginia vs NC State | +8.5L21–24 | 47.5 | L21–24 | U | Y |
| Sat 9/30 | Virginia at Boston College | +5.0L24–27 | 52.5 | L24–27 | U | Y |
| Sat 10/7 | Virginia vs William & Mary | -10.0W27–13 | 42.0 | W27–13 | U | Y |
| — Bye Week — | ||||||
| Sat 10/21 | Virginia at North Carolina | +24.0W31–27 | 58.0 | W31–27 | U | Y |
| Sat 10/28 | Virginia at Miami | +18.5L26–29 | 48.0 | L26–29 | O | Y |
| Sat 11/4 | Virginia vs Georgia Tech | -2.0L17–45 | 57.5 | L17–45 | O | N |
| Thu 11/9 | Virginia at Louisville | +20.5L24–31 | 49.5 | L24–31 | O | Y |
| Sat 11/18 | Virginia vs Duke | +4.0W30–27 | 48.5 | W30–27 | O | Y |
| Sat 11/25 | Virginia vs Virginia Tech | +2.5L17–55 | 52.5 | L17–55 | O | N |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2023 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ NC State
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ NC State
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ NC State
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 · 2023 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 +1.00
CSS Edge (season-to-date)
Teams with this edge win 71.6% of games historically
Based on 3 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
NC State Edge
NC State +30.6
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 3 games this season
Actual Result
CSS Battle
Virginia
1 — 0 sequences
✓ Predicted correctly
GC Battle
NC State
13.4 — 58.7 GC score
✓ Predicted correctly
Game Result
NC State won by 3
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
NC State
Dave Doeren #1
74–55 (58%)
· Yr 11 at school
OC
Robert Anae
Yr 1
#1
DC
Tony Gibson
Yr 3
#1
Virginia
Tony Elliott #1
3–10 (23%)
· Yr 2 at school
OC
Des Kitchings
Yr 2
#1
DC
John Rudzinski
Yr 2
#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 ✓