California at Notre Dame Week 3 College Football Matchup California at Notre Dame Matchup - Week 3
Sat, Sep 17 2022 · Week 3 · 🏟 Notre Dame Stadium Notre Dame, IN · Turf · 80,795 cap
California✈ 1,916 mi+3 hr TZ
17 24
Final
Home
📊 Punt & Rally Projection
California
16
Notre Dame
32
P&R Line Notre Dame -16
P&R Total O/U 47.5
Confidence 90 High
Vegas Notre Dame -13.5 · O/U 41.5
Matchup Prediction
California has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor California entering this game.
Momentum Control
73.7%
California wins
Solid
Game Control
75.9%
California wins
Solid
Vegas Spread
Notre Dame -13.5
O/U 41.5
teamrankings
Advanced Stats
All 4 factors agree → Notre Dame · 83.1% ATS historically when all four align
↓ See full breakdown
🏠 Notre Dame 2nd straight Home Game
California 2022 Schedule
California's 2022 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/3California vs UC Davis-14.0W34–1344.0W34–13OY
Sat 9/10California vs UNLV-12.0W20–1449.5W20–14UN
Sat 9/17California at Notre Dame+13.5L17–2441.5L17–24UY
Sat 9/24California vs Arizona-3.5W49–3150.0W49–31OY
Sat 10/1California at Washington State+4.0L9–2852.5L9–28UN
— Bye Week —
Sat 10/15California at Colorado-15.0L13–2049.0L13–20UN
Sat 10/22California vs Washington+7.5L21–2854.5L21–28UY
Sat 10/29California vs Oregon+16.5L24–4256.5L24–42ON
Sat 11/5California at USC+21.5L35–4160.5L35–41OY
Sat 11/12California at Oregon State+11.5L10–3847.0L10–38ON
Sat 11/19California vs Stanford-5.0W27–2046.0W27–20OY
Fri 11/25California vs UCLA+11.5L28–3562.5L28–35OY
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
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
California
+0.323
Notre Dame
+0.398
Notre Dame Edge
PPA Passing
Pass efficiency edge · Strong predictor
California
+0.411
Notre Dame
+0.596
Notre Dame Edge
Havoc Total
Def. disruption rate · Strong predictor
California
0.130
Notre Dame
0.147
TFLs, sacks, PBUs, forced fumbles — higher is better
Notre Dame Edge
Points Per Opp
Drive-finishing edge · Strong predictor
California
+7.734
Notre Dame
+7.936
Notre Dame Edge
Success Rate
Play consistency edge · Solid predictor
California
+0.775
Notre Dame
+0.973
Notre Dame Edge
Field Position
Avg start (lower=better) · Solid predictor
California
74.2
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
California
5.3
Notre Dame
28.3
Offense Rating
California
19.2
Notre Dame
29.0
Defense Rating (lower = better defense)
California
13.9
Notre Dame
0.0
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? California Edge
Avg sequences created per game
California #128
1.00
Notre Dame #51
0.00
Avg sequences allowed per game (lower is better)
California #35
0.00
Notre Dame #12
0.50
California +1.00
CSS Edge (season-to-date)
Teams with this edge win 73.7% of games historically
Based on 2 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? California Edge
Avg GC score per game (offense)
California #1
79.9
Notre Dame #1
39.1
Avg GC score allowed per game (lower is better)
California #101
9.5
Notre Dame #31
48.4
California +40.8
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 2 games this season
Actual Result
CSS Battle
Notre Dame
1 — 0 sequences
✗ Predicted incorrectly
GC Battle
Notre Dame
68.4 — 15.1 GC score
✗ Predicted incorrectly
Game Result
Notre Dame won by 7
✗ Model missed it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on California 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
California
Justin Wilcox #1
26–28 (48%) · Yr 6 at school
OC Bill Musgrave Yr 2 #1
DC Peter Sirmon 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