Thu, Sep 11 2025
·
Week 3
·
🏟 BB&T Field
Winston-Salem, NC
·
Turf
·
31,500 cap
NC State✈ 88 miSame TZ
Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors NC State,
while Game Control favors Wake Forest.
Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
73.7%
NC State wins
Solid
Game Control
67.1%
Wake Forest wins
Solid
Vegas Spread
NC State -7.5
O/U 52.5
DraftKings
Advanced Stats
Advanced factors are split · No strong agreement signal
↓ See full breakdown
NC State 2025 Schedule
NC State's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/28 | NC State vs East Carolina | -12.5W24–17 | 58.5 | W24–17 | U | N |
| Sat 9/6 | NC State vs Virginia | -3.0W35–31 | 53.0 | W35–31 | O | Y |
| Thu 9/11 | NC State at Wake Forest | -7.5W34–24 | 52.5 | W34–24 | O | Y |
| Sat 9/20 | NC State at Duke | +3.0L33–45 | 57.5 | L33–45 | O | N |
| Sat 9/27 | NC State vs Virginia Tech | -10.0L21–23 | 57.5 | L21–23 | U | N |
| Sat 10/4 | NC State vs Campbell | -42.5W56–10 | 61.5 | W56–10 | O | Y |
| Sat 10/11 | NC State at Notre Dame | +23.5L7–36 | 59.5 | L7–36 | U | N |
| — Bye Week — | ||||||
| Sat 10/25 | NC State at Pittsburgh | +5.5L34–53 | 52.5 | L34–53 | O | N |
| Sat 11/1 | NC State vs Georgia Tech | +4.5W48–36 | 58.5 | W48–36 | O | Y |
| — Bye Week — | ||||||
| Sat 11/15 | NC State at Miami | +16.5L7–41 | 54.5 | L7–41 | U | N |
| Fri 11/21 | NC State vs Florida State | +7.0W21–11 | 58.5 | W21–11 | U | Y |
| Sat 11/29 | NC State vs North Carolina | -7.0W42–19 | 48.5 | W42–19 | O | Y |
| Fri 12/19 | NC State vs Memphis | -6.0W31–7 | 56.5 | W31–7 | U | Y |
Wake Forest 2025 Schedule
Wake Forest's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Fri 8/29 | Wake Forest vs Kennesaw State | -17.5W10–9 | 51.5 | W10–9 | U | N |
| Sat 9/6 | Wake Forest vs Western Carolina | -17.5W42–10 | 60.5 | W42–10 | U | Y |
| Thu 9/11 | Wake Forest vs NC State | +7.5L24–34 | 52.5 | L24–34 | O | N |
| — Bye Week — | ||||||
| Sat 9/27 | Wake Forest vs Georgia Tech | +13.5L29–30 | 53.5 | L29–30 | O | Y |
| Sat 10/4 | Wake Forest at Virginia Tech | +4.5W30–23 | 51.5 | W30–23 | O | Y |
| Sat 10/11 | Wake Forest at Oregon State | -1.5W39–14 | 47.5 | W39–14 | O | Y |
| — Bye Week — | ||||||
| Sat 10/25 | Wake Forest vs SMU | +6.5W13–12 | 53.5 | W13–12 | U | Y |
| Sat 11/1 | Wake Forest at Florida State | +12.5L7–42 | 50.5 | L7–42 | U | N |
| Sat 11/8 | Wake Forest at Virginia | +7.0W16–9 | 48.5 | W16–9 | U | Y |
| Sat 11/15 | Wake Forest vs North Carolina | -3.5W28–12 | 37.5 | W28–12 | O | Y |
| Sat 11/22 | Wake Forest vs Delaware | -17.5W52–14 | 49.5 | W52–14 | O | Y |
| Sat 11/29 | Wake Forest at Duke | +2.5L32–49 | 54.0 | L32–49 | O | N |
| Fri 1/2 | Wake Forest vs Mississippi State | +3.0W43–29 | 52.5 | W43–29 | O | 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
Split
Metrics disagree
Elite · 82.4% ATS
PPA + PPO + Havoc
Split
Metrics disagree
Elite · 73.9% ATS
PPA + Success Rate
Split
Metrics disagree
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?
NC State Edge
NC State +1.00
CSS Edge (season-to-date)
Teams with this edge win 73.7% of games historically
Based on 1 game this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Wake Forest Edge
Wake Forest +17.7
GC Edge (season-to-date)
Teams with this edge win 67.1% of games historically
Based on 2 games this season
Actual Result
CSS Battle
Wake Forest
2 — 1 sequences
✗ Predicted incorrectly
GC Battle
Wake Forest
53.2 — 31.7 GC score
✓ Predicted correctly
Game Result
NC State won by 10
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
87–64 (58%)
· Yr 13 at school
OC
Kurt Roper
Yr 1
#1
DC
D. J. Eliot
Yr 1
#1
Wake Forest
Jake Dickert #1
0–0 (0%)
· Yr 1 at school
OC
Rob Ezell
Yr 1
#1
DC
Scottie Hazelton
Yr 1
#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 ✓

