Stanford at North Carolina Week 11 College Football Matchup Stanford at North Carolina Matchup - Week 11
Sat, Nov 8 2025 · Week 11 · 🏟 Kenan Memorial Stadium Chapel Hill, NC · Turf · 62,980 cap
Stanford✈ 2,370 mi+3 hr TZ
Away
15 20
Final
📊 Punt & Rally Projection
Stanford
20
North Carolina
24
P&R Line North Carolina -4
P&R Total O/U 43.5
Confidence 75 Good
Vegas North Carolina -8.5 · O/U 41.5
Matchup Prediction
North Carolina has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor North Carolina entering this game.
Momentum Control
58.4%
North Carolina wins
Lean
Game Control
58.6%
North Carolina wins
Lean
Vegas Spread
North Carolina -8.5
O/U 41.5
DraftKings
Advanced Stats
Advanced factors are split · No strong agreement signal
↓ See full breakdown
Stanford 2025 Schedule
Stanford's 2025 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 8/23Stanford at Hawai'i+1.5L20–2353.5L20–23UN
Sat 9/6Stanford at BYU+20.5L3–2744.5L3–27UN
Sat 9/13Stanford vs Boston College+14.0W30–2044.5W30–20OY
Sat 9/20Stanford at Virginia+16.5L20–4848.5L20–48ON
Sat 9/27Stanford vs San José State-3.0W30–2949.5W30–29ON
— Bye Week —
Sat 10/11Stanford at SMU+19.5L10–3455.5L10–34UN
Sat 10/18Stanford vs Florida State+17.5W20–1355.5W20–13UY
Sat 10/25Stanford at Miami+28.5L7–4245.5L7–42ON
Sat 11/1Stanford vs Pittsburgh+13.5L20–3551.5L20–35ON
Sat 11/8Stanford at North Carolina+8.5L15–2041.5L15–20UY
— Bye Week —
Sat 11/22Stanford vs California+4.5W31–1047.5W31–10UY
Sat 11/29Stanford vs Notre Dame+32.5L20–4950.5L20–49OY
North Carolina 2025 Schedule
North Carolina's 2025 Schedule
DateMatchupSpreadTotalResultO/UCover
Mon 9/1North Carolina vs TCU+3.0L14–4859.5L14–48ON
Sat 9/6North Carolina at Charlotte-16.5W20–349.5W20–3UY
Sat 9/13North Carolina vs Richmond-24.5W41–647.5W41–6UY
Sat 9/20North Carolina at UCF+7.0L9–3446.5L9–34UN
— Bye Week —
Sat 10/4North Carolina vs Clemson+15.5L10–3847.5L10–38ON
— Bye Week —
Fri 10/17North Carolina at California+7.5L18–2145.5L18–21UY
Sat 10/25North Carolina vs Virginia+12.5L16–1751.5L16–17UY
Fri 10/31North Carolina at Syracuse+1.5W27–1045.5W27–10UY
Sat 11/8North Carolina vs Stanford-8.5W20–1541.5W20–15UN
Sat 11/15North Carolina at Wake Forest+3.5L12–2837.5L12–28ON
Sat 11/22North Carolina vs Duke+6.5L25–3250.5L25–32ON
Sat 11/29North Carolina at NC State+7.0L19–4248.5L19–42ON
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2025 season
Stanford PPA Edge
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
Stanford #120
+0.243
North Carolina #119
+0.238
Stanford Edge
PPA Passing
Pass efficiency edge · Strong predictor
Stanford #98
+0.398
North Carolina #92
+0.546
North Carolina Edge
Havoc Total
Def. disruption rate · Strong predictor
Stanford #94
0.146
North Carolina #91
0.148
TFLs, sacks, PBUs, forced fumbles — higher is better
North Carolina Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Stanford #122
+6.592
North Carolina #108
+6.786
North Carolina Edge
Success Rate
Play consistency edge · Solid predictor
Stanford #127
+0.772
North Carolina #115
+0.807
North Carolina Edge
Field Position
Avg start (lower=better) · Solid predictor
Stanford #135
74.6
North Carolina #62
70.7
Avg yards from own endzone to average start — lower is better · longer bar = better field position
North Carolina Edge
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
North Carolina Rated Higher
Overall Power Rating
Stanford
-5.0
North Carolina
-0.1
Offense Rating
Stanford
11.1
North Carolina
15.8
Defense Rating (lower = better defense)
Stanford
16.0
North Carolina
15.9
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? North Carolina Edge
Avg sequences created per game
Stanford #74
0.56
North Carolina #120
0.57
Avg sequences allowed per game (lower is better)
Stanford #112
1.78
North Carolina #63
0.86
North Carolina +0.02
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 7 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? North Carolina Edge
Avg GC score per game (offense)
Stanford #1
25.8
North Carolina #1
35.4
Avg GC score allowed per game (lower is better)
Stanford #122
58.1
North Carolina #115
52.6
North Carolina +9.6
GC Edge (season-to-date)
Teams with this edge win 58.6% of games historically
Based on 8 games this season
Actual Result
CSS Battle
Tie
1 — 1 sequences
✗ Predicted incorrectly
GC Battle
North Carolina
65.0 — 12.7 GC score
✓ Predicted correctly
Game Result
North Carolina won by 5
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on North Carolina. Teams with this edge profile have covered 50.3% historically — essentially a coin flip against the spread.

ATS data is informational only. Past cover rates do not guarantee future results.

Coaching Matchup
Stanford
Troy Taylor #1
6–18 (25%) · Yr 3 at school
OC Troy Taylor Yr 3 #1
DC Bobby April Yr 1 #1
Staff Rating
0.00 #1
North Carolina
Bill Belichick #1
0–0 (0%) · Yr 1 at school
OC Freddie Kitchens Yr 1 #1
DC Stephen Belichick Yr 1 #1
Staff Rating
0.00 #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