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
NC State -14.5
O/U 47.5
Caesars Sportsbook (Colorado)
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 |
UConn 2023 Schedule
UConn's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/31 | UConn vs NC State | +14.5L14–24 | 47.5 | L14–24 | U | Y |
| Sat 9/9 | UConn at Georgia State | +3.0L14–35 | 54.5 | L14–35 | U | N |
| Sat 9/16 | UConn vs Florida International | -7.0L17–24 | 43.0 | L17–24 | U | N |
| Sat 9/23 | UConn vs Duke | +22.0L7–41 | 45.0 | L7–41 | O | N |
| Sat 9/30 | UConn vs Utah State | +4.0L33–34 | 50.5 | L33–34 | O | Y |
| Sat 10/7 | UConn at Rice | +10.0W38–31 | 47.5 | W38–31 | O | Y |
| — Bye Week — | ||||||
| Sat 10/21 | UConn vs South Florida | -1.0L21–24 | 57.0 | L21–24 | U | N |
| Sat 10/28 | UConn at Boston College | +14.5L14–21 | 49.0 | L14–21 | U | Y |
| Sat 11/4 | UConn at Tennessee | +35.0L3–59 | 55.5 | L3–59 | O | N |
| Sat 11/11 | UConn at James Madison | +24.5L6–44 | 47.5 | L6–44 | O | N |
| Sat 11/18 | UConn vs Sacred Heart | -25.5W31–3 | 40.5 | W31–3 | U | Y |
| Sat 11/25 | UConn at Massachusetts | +2.5W31–18 | 51.0 | W31–18 | U | Y |
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?
NC State Edge
NC State +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?
NC State Edge
NC State +0.0
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 0 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on UConn, 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
NC State
Dave Doeren #1
74–55 (58%)
· Yr 11 at school
OC
Robert Anae
Yr 1
#1
DC
Tony Gibson
Yr 3
#1
UConn
Jim L. Mora #1
6–10 (38%)
· Yr 2 at school
OC
Nick Charlton
Yr 2
#1
DC
Lou Spanos
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 ✓