Notre Dame at Stanford Week 14 College Football Matchup Notre Dame at Stanford Matchup - Week 14
Sat, Nov 29 2025 · Week 14 · 🏟 Stanford Stadium Stanford, CA · Turf · 50,424 cap
Notre Dame✈ 1,922 mi-3 hr TZ
49 20
Final
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📊 Punt & Rally Projection
Notre Dame
40
Stanford
12
P&R Line Notre Dame -28.5
P&R Total O/U 52
Confidence 90 High
Vegas Notre Dame -32.5 · O/U 50.5
Matchup Prediction
Notre Dame has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor Notre Dame entering this game.
Momentum Control
73.7%
Notre Dame wins
Solid
Game Control
75.9%
Notre Dame wins
Solid
Vegas Spread
Notre Dame -32.5
O/U 50.5
Bovada
Advanced Stats
All 4 factors agree → Notre Dame · 83.1% ATS historically when all four align
↓ See full breakdown
🏠 Stanford 2nd straight Home Game
Notre Dame 2025 Schedule
Notre Dame's 2025 Schedule
DateMatchupSpreadTotalResultO/UCover
Sun 8/31Notre Dame at Miami-2.5L24–2753.5L24–27UN
— Bye Week —
Sat 9/13Notre Dame vs Texas A&M-7.5L40–4148.5L40–41ON
Sat 9/20Notre Dame vs Purdue-24.5W56–3051.5W56–30OY
Sat 9/27Notre Dame at Arkansas-5.5W56–1364.5W56–13OY
Sat 10/4Notre Dame vs Boise State-21.5W28–763.5W28–7UN
Sat 10/11Notre Dame vs NC State-23.5W36–759.5W36–7UY
Sat 10/18Notre Dame vs USC-10.5W34–2460.5W34–24UN
— Bye Week —
Sat 11/1Notre Dame at Boston College-31.5W25–1055.5W25–10UN
Sat 11/8Notre Dame vs Navy-30.5W49–1054.5W49–10OY
Sat 11/15Notre Dame at Pittsburgh-12.5W37–1555.5W37–15UY
Sat 11/22Notre Dame vs Syracuse-36.5W70–751.5W70–7OY
Sat 11/29Notre Dame at Stanford-32.5W49–2050.5W49–20ON
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
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2025 season
Notre Dame PPA Edge
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Notre Dame
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Notre Dame
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Notre Dame
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
Notre Dame #4
+0.528
Stanford #120
+0.106
Notre Dame Edge
PPA Passing
Pass efficiency edge · Strong predictor
Notre Dame #10
+0.793
Stanford #98
+0.282
Notre Dame Edge
Havoc Total
Def. disruption rate · Strong predictor
Notre Dame #19
0.184
Stanford #94
0.146
TFLs, sacks, PBUs, forced fumbles — higher is better
Notre Dame Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Notre Dame #6
+8.252
Stanford #122
+5.592
Notre Dame Edge
Success Rate
Play consistency edge · Solid predictor
Notre Dame #10
+0.914
Stanford #127
+0.727
Notre Dame Edge
Field Position
Avg start (lower=better) · Solid predictor
Notre Dame #9
67.5
Stanford #135
74.6
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Notre Dame 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
Notre Dame Rated Higher
Overall Power Rating
Notre Dame
28.3
Stanford
-5.0
Offense Rating
Notre Dame
29.0
Stanford
11.1
Defense Rating (lower = better defense)
Notre Dame
0.0
Stanford
16.0
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? Notre Dame Edge
Avg sequences created per game
Notre Dame #10
1.82
Stanford #74
0.73
Avg sequences allowed per game (lower is better)
Notre Dame #19
0.46
Stanford #112
1.64
Notre Dame +1.09
CSS Edge (season-to-date)
Teams with this edge win 73.7% of games historically
Based on 11 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? Notre Dame Edge
Avg GC score per game (offense)
Notre Dame #1
71.5
Stanford #1
28.0
Avg GC score allowed per game (lower is better)
Notre Dame #2
14.8
Stanford #122
54.9
Notre Dame +43.6
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 11 games this season
Actual Result
CSS Battle
Notre Dame
1 — 3 sequences
✓ Predicted correctly
GC Battle
Notre Dame
4.1 — 92.5 GC score
✓ Predicted correctly
Game Result
Notre Dame won by 29
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on Notre Dame with a large edge. Historically, dominant teams like this are fully priced into the spread — the agreed-upon team covers just 50.2% of the time. The metrics predict game control better than they beat the number.

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

Coaching Matchup
Notre Dame
Marcus Freeman #1
33–10 (77%) · Yr 4 at school
OC Mike Denbrock Yr 2 #1
DC Chris Ash Yr 1 #1
Staff Rating
0.00 #1
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
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