Sat, Sep 28 2024
·
Week 5
·
🏟 Notre Dame Stadium
Notre Dame, IN
·
Turf
·
80,795 cap
Louisville✈ 242 miSame TZ
Matchup Prediction
Louisville
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Louisville entering this game.
Momentum Control
61.3%
Louisville wins
Lean
Game Control
75.9%
Louisville wins
Solid
Vegas Spread
Notre Dame -6.5
O/U 45.0
DraftKings
Advanced Stats
All 4 factors agree → Notre Dame
· 83.1% ATS historically when all four align
↓ See full breakdown
Louisville 2024 Schedule
Louisville's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Louisville vs Austin Peay | -38.5W62–0 | 54.5 | W62–0 | O | Y |
| Sat 9/7 | Louisville vs Jacksonville State | -27.5W49–14 | 56.5 | W49–14 | O | Y |
| — Bye Week — | ||||||
| Sat 9/21 | Louisville vs Georgia Tech | -9.5W31–19 | 56.0 | W31–19 | U | Y |
| Sat 9/28 | Louisville at Notre Dame | +6.5L24–31 | 45.0 | L24–31 | O | N |
| Sat 10/5 | Louisville vs SMU | -6.5L27–34 | 55.0 | L27–34 | O | N |
| Sat 10/12 | Louisville at Virginia | -7.0W24–20 | 54.0 | W24–20 | U | N |
| Sat 10/19 | Louisville vs Miami | +4.5L45–52 | 61.5 | L45–52 | O | N |
| Fri 10/25 | Louisville at Boston College | -7.0W31–27 | 54.0 | W31–27 | O | N |
| Sat 11/2 | Louisville at Clemson | +11.0W33–21 | 62.5 | W33–21 | U | Y |
| — Bye Week — | ||||||
| Sat 11/16 | Louisville at Stanford | -21.0L35–38 | 57.5 | L35–38 | O | N |
| Sat 11/23 | Louisville vs Pittsburgh | -7.0W37–9 | 57.0 | W37–9 | U | Y |
| Sat 11/30 | Louisville at Kentucky | -3.5W41–14 | 48.5 | W41–14 | O | Y |
| Tue 12/31 | Louisville vs Washington | +1.0W35–34 | 50.5 | W35–34 | O | Y |
Notre Dame 2024 Schedule
Notre Dame's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Notre Dame at Texas A&M | +3.0W23–13 | 47.0 | W23–13 | U | Y |
| Sat 9/7 | Notre Dame vs Northern Illinois | -28.5L14–16 | 46.5 | L14–16 | U | N |
| Sat 9/14 | Notre Dame at Purdue | -11.5W66–7 | 45.5 | W66–7 | O | Y |
| Sat 9/21 | Notre Dame vs Miami (OH) | -27.5W28–3 | 44.0 | W28–3 | U | N |
| Sat 9/28 | Notre Dame vs Louisville | -6.5W31–24 | 45.0 | W31–24 | O | Y |
| — Bye Week — | ||||||
| Sat 10/12 | Notre Dame vs Stanford | -22.5W49–7 | 45.5 | W49–7 | O | Y |
| Sat 10/19 | Notre Dame vs Georgia Tech | -14.0W31–13 | 49.5 | W31–13 | U | Y |
| Sat 10/26 | Notre Dame vs Navy | -14.0W51–14 | 50.5 | W51–14 | O | Y |
| — Bye Week — | ||||||
| Sat 11/9 | Notre Dame vs Florida State | -25.5W52–3 | 44.5 | W52–3 | O | Y |
| Sat 11/16 | Notre Dame vs Virginia | -20.5W35–14 | 51.0 | W35–14 | U | Y |
| Sat 11/23 | Notre Dame vs Army | -14.5W49–14 | 44.5 | W49–14 | O | Y |
| Sat 11/30 | Notre Dame at USC | -6.5W49–35 | 52.5 | W49–35 | O | Y |
| Fri 12/20 | Notre Dame vs Indiana | -7.0W27–17 | 50.0 | W27–17 | U | Y |
| Thu 1/2 | Notre Dame vs Georgia | -1.5W23–10 | 46.5 | W23–10 | U | Y |
| Thu 1/9 | Notre Dame vs Penn State | +1.5W27–24 | 45.5 | W27–24 | O | Y |
| Mon 1/20 | Notre Dame vs Ohio State | +8.5L23–34 | 45.5 | L23–34 | O | N |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2024 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 · 2024 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?
Louisville Edge
Louisville +0.50
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 4 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Louisville Edge
Louisville +29.5
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 4 games this season
Actual Result
CSS Battle
Notre Dame
2 — 0 sequences
✗ Predicted incorrectly
GC Battle
Notre Dame
65.5 — 16.4 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 Louisville 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
Louisville
Jeff Brohm #1
10–4 (71%)
· Yr 2 at school
OC
Brian Brohm
Yr 2
#1
DC
Ron English
Yr 2
#1
Notre Dame
Marcus Freeman #1
19–8 (70%)
· Yr 3 at school
OC
Mike Denbrock
Yr 1
#1
DC
Al Golden
Yr 3
#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 ✓
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 ✓