Sun, Nov 26 2023
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Week 13
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🏟 Carter-Finley Stadium
Raleigh, NC
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Turf
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57,583 cap
Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors North Carolina,
while Game Control favors NC State.
Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
73.7%
North Carolina wins
Solid
Game Control
50.6%
NC State wins
Toss-up
Vegas Spread
North Carolina -2
O/U 55.0
DraftKings
Advanced Stats
PPA + Success Rate agree → North Carolina
· 73.9% ATS historically
↓ See full breakdown
North Carolina 2023 Schedule
North Carolina's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | North Carolina vs South Carolina | +2.5W31–17 | 63.5 | W31–17 | U | Y |
| Sat 9/9 | North Carolina vs App State | -18.0W40–34 | 58.0 | W40–34 | O | N |
| Sat 9/16 | North Carolina vs Minnesota | -7.0W31–13 | 51.0 | W31–13 | U | Y |
| Sat 9/23 | North Carolina at Pittsburgh | -7.0W41–24 | 49.5 | W41–24 | O | Y |
| — Bye Week — | ||||||
| Sat 10/7 | North Carolina vs Syracuse | -9.5W40–7 | 59.0 | W40–7 | U | Y |
| Sat 10/14 | North Carolina vs Miami | -2.5W41–31 | 57.5 | W41–31 | O | Y |
| Sat 10/21 | North Carolina vs Virginia | -24.0L27–31 | 58.0 | L27–31 | U | N |
| Sat 10/28 | North Carolina at Georgia Tech | -12.0L42–46 | 65.5 | L42–46 | O | N |
| Sat 11/4 | North Carolina vs Campbell | -45.5W59–7 | 68.5 | W59–7 | U | Y |
| Sat 11/11 | North Carolina vs Duke | -9.5W47–45 | 52.5 | W47–45 | O | N |
| Sat 11/18 | North Carolina at Clemson | +7.5L20–31 | 58.0 | L20–31 | U | N |
| Sat 11/25 | North Carolina at NC State | -2.0L20–39 | 55.0 | L20–39 | O | N |
| Wed 12/27 | North Carolina vs West Virginia | +4.5L10–30 | 62.0 | L10–30 | U | N |
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 |
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
Split
Metrics disagree
Elite · 82.4% ATS
PPA + PPO + Havoc
Split
Metrics disagree
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ North Carolina
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?
North Carolina Edge
North Carolina +1.10
CSS Edge (season-to-date)
Teams with this edge win 73.7% of games historically
Based on 10 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
NC State Edge
NC State +3.8
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 11 games this season
Actual Result
CSS Battle
NC State
4 — 1 sequences
✗ Predicted incorrectly
GC Battle
NC State
87.6 — 5.7 GC score
✓ Predicted correctly
Game Result
NC State won by 19
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
North Carolina
Mack Brown #1
33–22 (60%)
· Yr 5 at school
OC
Chip Lindsey
Yr 1
#1
DC
Gene Chizik
Yr 2
#1
NC State
Dave Doeren #1
74–55 (58%)
· Yr 11 at school
OC
Robert Anae
Yr 1
#1
DC
Tony Gibson
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 ✓