Stanford at Notre Dame Week 7 College Football Matchup Stanford at Notre Dame Matchup - Week 7
Sat, Oct 15 2022 · Week 7 · 🏟 Notre Dame Stadium Notre Dame, IN · Turf · 80,795 cap
Stanford✈ 1,922 mi+3 hr TZ
Away
16 14
Final
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📊 Punt & Rally Projection
Stanford
16
Notre Dame
36
P&R Line Notre Dame -20
P&R Total O/U 52.5
Confidence 86 High
Vegas Notre Dame -16.5 · O/U 53.5
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
58.4%
Notre Dame wins
Lean
Game Control
76%
Notre Dame wins
Strong
Vegas Spread
Notre Dame -16.5
O/U 53.5
teamrankings
Advanced Stats
PPA + Success Rate agree → Notre Dame · 73.9% ATS historically
↓ See full breakdown
🏠 Notre Dame 2nd straight Home Game
Stanford 2022 Schedule
Stanford's 2022 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/3Stanford vs Colgate-40.0W41–1051.5W41–10UN
Sat 9/10Stanford vs USC+9.5L28–4166.5L28–41ON
— Bye Week —
Sat 9/24Stanford at Washington+14.0L22–4062.5L22–40UN
Sat 10/1Stanford at Oregon+17.0L27–4563.0L27–45ON
Sat 10/8Stanford vs Oregon State+4.5L27–2853.0L27–28OY
Sat 10/15Stanford at Notre Dame+16.5W16–1453.5W16–14UY
Sat 10/22Stanford vs Arizona State-3.0W15–1452.0W15–14UN
Sat 10/29Stanford at UCLA+16.5L13–3864.5L13–38UN
Sat 11/5Stanford vs Washington State+3.0L14–5248.5L14–52ON
Sat 11/12Stanford at Utah+23.5L7–4254.0L7–42UN
Sat 11/19Stanford at California+5.0L20–2746.0L20–27ON
Sat 11/26Stanford vs BYU+6.0L26–3557.5L26–35ON
Notre Dame 2022 Schedule
Notre Dame's 2022 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/3Notre Dame at Ohio State+17.0L10–2158.5L10–21UY
Sat 9/10Notre Dame vs Marshall-20.5L21–2648.0L21–26UN
Sat 9/17Notre Dame vs California-13.5W24–1741.5W24–17UN
Sat 9/24Notre Dame at North Carolina+2.5W45–3255.0W45–32OY
— Bye Week —
Sat 10/8Notre Dame vs BYU-4.0W28–2051.0W28–20UY
Sat 10/15Notre Dame vs Stanford-16.5L14–1653.5L14–16UN
Sat 10/22Notre Dame vs UNLV-26.0W44–2146.5W44–21ON
Sat 10/29Notre Dame at Syracuse+1.0W41–2448.0W41–24OY
Sat 11/5Notre Dame vs Clemson+3.5W35–1443.5W35–14OY
Sat 11/12Notre Dame vs Navy-17.0W35–3240.5W35–32ON
Sat 11/19Notre Dame vs Boston College-20.0W44–042.0W44–0OY
Sat 11/26Notre Dame at USC+4.0L27–3863.5L27–38ON
Fri 12/30Notre Dame vs South Carolina-5.0W45–3850.5W45–38OY
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2022 season
Notre Dame 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
Both Agree
→ Notre Dame
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
Stanford
+0.276
Notre Dame
+0.487
Notre Dame Edge
PPA Passing
Pass efficiency edge · Strong predictor
Stanford
+0.391
Notre Dame
+0.519
Notre Dame Edge
Havoc Total
Def. disruption rate · Strong predictor
Stanford
0.149
Notre Dame
0.147
TFLs, sacks, PBUs, forced fumbles — higher is better
Stanford Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Stanford
+8.081
Notre Dame
+8.041
Stanford Edge
Success Rate
Play consistency edge · Solid predictor
Stanford
+0.808
Notre Dame
+0.952
Notre Dame Edge
Field Position
Avg start (lower=better) · Solid predictor
Stanford
75.2
Notre Dame
66.6
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Notre Dame Edge
Advanced stats sourced from CFBD · 2022 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
Stanford
-5.0
Notre Dame
28.3
Offense Rating
Stanford
11.1
Notre Dame
29.0
Defense Rating (lower = better defense)
Stanford
16.0
Notre Dame
0.0
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
Stanford #109
0.50
Notre Dame #51
1.20
Avg sequences allowed per game (lower is better)
Stanford #123
2.00
Notre Dame #12
0.60
Notre Dame +0.70
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 5 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? Notre Dame Edge
Avg GC score per game (offense)
Stanford #1
33.1
Notre Dame #1
57.2
Avg GC score allowed per game (lower is better)
Stanford #120
60.0
Notre Dame #31
28.8
Notre Dame +24.1
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 5 games this season
Actual Result
CSS Battle
Notre Dame
1 — 0 sequences
✓ Predicted correctly
GC Battle
Stanford
34.0 — 42.1 GC score
✗ Predicted incorrectly
Game Result
Stanford won by 2
✗ Model missed 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
Stanford
David Shaw #1
93–45 (67%) · Yr 12 at school
OC Tavita Pritchard Yr 2 #1
DC Lance Anderson Yr 2 #1
Staff Rating
0.00 #1
Notre Dame
Marcus Freeman #1
0–1 (0%) · Yr 1 at school
OC Tommy Rees Yr 2 #1
DC Al Golden 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