Sat, Nov 30 2024
·
Week 14
·
🏟 Commonwealth Stadium
Lexington, KY
·
Turf
·
61,000 cap
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
64.9%
Louisville wins
Lean
Vegas Spread
Louisville -3.5
O/U 48.5
ESPN Bet
Advanced Stats
PPA + Success Rate agree → Louisville
· 73.9% ATS historically
↓ 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 |
Kentucky 2024 Schedule
Kentucky's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Kentucky vs Southern Miss | -25.5W31–0 | 50.5 | W31–0 | U | Y |
| Sat 9/7 | Kentucky vs South Carolina | -9.5L6–31 | 41.5 | L6–31 | U | N |
| Sat 9/14 | Kentucky vs Georgia | +24.0L12–13 | 45.0 | L12–13 | U | Y |
| Sat 9/21 | Kentucky vs Ohio | -19.0W41–6 | 42.0 | W41–6 | O | Y |
| Sat 9/28 | Kentucky at Ole Miss | +15.0W20–17 | 51.5 | W20–17 | U | Y |
| — Bye Week — | ||||||
| Sat 10/12 | Kentucky vs Vanderbilt | -12.5L13–20 | 44.5 | L13–20 | U | N |
| Sat 10/19 | Kentucky at Florida | -2.5L20–48 | 42.5 | L20–48 | O | N |
| Sat 10/26 | Kentucky vs Auburn | -2.0L10–24 | 43.5 | L10–24 | U | N |
| Sat 11/2 | Kentucky at Tennessee | +17.5L18–28 | 45.5 | L18–28 | O | Y |
| — Bye Week — | ||||||
| Sat 11/16 | Kentucky vs Murray State | -41.5W48–6 | 54.5 | W48–6 | U | Y |
| Sat 11/23 | Kentucky at Texas | +18.5L14–31 | 47.0 | L14–31 | U | Y |
| Sat 11/30 | Kentucky vs Louisville | +3.5L14–41 | 48.5 | L14–41 | 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
Split
Metrics disagree
Elite · 82.4% ATS
PPA + PPO + Havoc
Split
Metrics disagree
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Louisville
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 +0.90
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 10 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Louisville Edge
Louisville +12.9
GC Edge (season-to-date)
Teams with this edge win 64.9% of games historically
Based on 11 games this season
Actual Result
CSS Battle
Louisville
1 — 2 sequences
✓ Predicted correctly
GC Battle
Louisville
6.0 — 86.1 GC score
✓ Predicted correctly
Game Result
Louisville won by 27
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Louisville with a solid GC edge. Teams with this profile have covered 53.0% of the time historically (n=330) — a mild lean.
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
Kentucky
Mark Stoops #1
73–65 (53%)
· Yr 12 at school
OC
Bush Hamdan
Yr 1
#1
DC
Brad White
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: 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 ✓