Sat, Oct 14 2023
·
Week 7
·
🏟 Notre Dame Stadium
Notre Dame, IN
·
Turf
·
80,795 cap
USC✈ 1,815 mi+3 hr TZ
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
64.9%
USC wins
Lean
Vegas Spread
Notre Dame -3
O/U 61.0
William Hill (New Jersey)
Advanced Stats
All 4 factors agree → Notre Dame
· 83.1% ATS historically when all four align
↓ See full breakdown
USC 2023 Schedule
USC's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/26 | USC vs San José State | -31.5W56–28 | 66.0 | W56–28 | O | N |
| Sat 9/2 | USC vs Nevada | -37.5W66–14 | 63.5 | W66–14 | O | Y |
| Sat 9/9 | USC vs Stanford | -28.5W56–10 | 70.5 | W56–10 | U | Y |
| — Bye Week — | ||||||
| Sat 9/23 | USC at Arizona State | -34.5W42–28 | 62.0 | W42–28 | O | N |
| Sat 9/30 | USC at Colorado | -22.0W48–41 | 74.5 | W48–41 | O | N |
| Sat 10/7 | USC vs Arizona | -21.0W43–41 | 69.5 | W43–41 | O | N |
| Sat 10/14 | USC at Notre Dame | +3.0L20–48 | 61.0 | L20–48 | O | N |
| Sat 10/21 | USC vs Utah | -7.5L32–34 | 51.5 | L32–34 | O | N |
| Sat 10/28 | USC at California | -10.5W50–49 | 67.5 | W50–49 | O | N |
| Sat 11/4 | USC vs Washington | +3.0L42–52 | 76.0 | L42–52 | O | N |
| Sat 11/11 | USC at Oregon | +12.5L27–36 | 78.5 | L27–36 | U | Y |
| Sat 11/18 | USC vs UCLA | -6.0L20–38 | 65.5 | L20–38 | U | N |
| Wed 12/27 | USC vs Louisville | +4.5W42–28 | 58.0 | W42–28 | O | Y |
Notre Dame 2023 Schedule
Notre Dame's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/26 | Notre Dame vs Navy | -20.5W42–3 | 49.0 | W42–3 | U | Y |
| Sat 9/2 | Notre Dame vs Tennessee State | -48.5W56–3 | 55.0 | W56–3 | O | Y |
| Sat 9/9 | Notre Dame at NC State | -7.0W45–24 | 49.5 | W45–24 | O | Y |
| Sat 9/16 | Notre Dame vs Central Michigan | -34.5W41–17 | 51.5 | W41–17 | O | N |
| Sat 9/23 | Notre Dame vs Ohio State | +3.0L14–17 | 55.5 | L14–17 | U | Y |
| Sat 9/30 | Notre Dame at Duke | -5.5W21–14 | 52.5 | W21–14 | U | Y |
| Sat 10/7 | Notre Dame at Louisville | -6.5L20–33 | 53.0 | L20–33 | U | N |
| Sat 10/14 | Notre Dame vs USC | -3.0W48–20 | 61.0 | W48–20 | O | Y |
| — Bye Week — | ||||||
| Sat 10/28 | Notre Dame vs Pittsburgh | -21.0W58–7 | 45.5 | W58–7 | O | Y |
| Sat 11/4 | Notre Dame at Clemson | -3.0L23–31 | 44.5 | L23–31 | O | N |
| — Bye Week — | ||||||
| Sat 11/18 | Notre Dame vs Wake Forest | -22.5W45–7 | 47.5 | W45–7 | O | Y |
| Sat 11/25 | Notre Dame at Stanford | -26.0W56–23 | 50.5 | W56–23 | O | Y |
| Fri 12/29 | Notre Dame vs Oregon State | -5.5W40–8 | 40.5 | W40–8 | O | 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
→ 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
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?
USC +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 6 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
USC Edge
USC +13.1
GC Edge (season-to-date)
Teams with this edge win 64.9% of games historically
Based on 7 games this season
Actual Result
CSS Battle
Notre Dame
1 — 0 sequences
GC Battle
Notre Dame
83.2 — 7.3 GC score
✗ Predicted incorrectly
Game Result
Notre Dame won by 28
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
CSS and GC disagree on this matchup. When the metrics split, historical cover rates are essentially random — treat this as a coin flip against the spread.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
USC
Lincoln Riley #1
14–3 (82%)
· Yr 2 at school
OC
Josh Henson
Yr 2
#1
DC
Alex Grinch
Yr 2
#1
Notre Dame
Marcus Freeman #1
13–5 (72%)
· Yr 2 at school
OC
Gerad Parker
Yr 1
#1
DC
Al Golden
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 ✓