Fri, Oct 25 2024
·
Week 9
·
🏟 Alumni Stadium
Chestnut Hill, MA
·
Turf
·
44,500 cap
Louisville✈ 819 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
49.4%
Louisville wins
Toss-up
Vegas Spread
Louisville -7.0
O/U 54.0
Bovada
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 |
Boston College 2024 Schedule
Boston College's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Mon 9/2 | Boston College at Florida State | +16.5W28–13 | 50.0 | W28–13 | U | Y |
| Sat 9/7 | Boston College vs Duquesne | -33.5W56–0 | 52.5 | W56–0 | O | Y |
| Sat 9/14 | Boston College at Missouri | +14.5L21–27 | 51.5 | L21–27 | U | Y |
| Sat 9/21 | Boston College vs Michigan State | -4.5W23–19 | 45.5 | W23–19 | U | N |
| Sat 9/28 | Boston College vs Western Kentucky | -7.5W21–20 | 48.0 | W21–20 | U | N |
| Sat 10/5 | Boston College at Virginia | +2.0L14–24 | 52.5 | L14–24 | U | N |
| — Bye Week — | ||||||
| Thu 10/17 | Boston College at Virginia Tech | +8.5L21–42 | 47.5 | L21–42 | O | N |
| Fri 10/25 | Boston College vs Louisville | +7.0L27–31 | 54.0 | L27–31 | O | Y |
| — Bye Week — | ||||||
| Sat 11/9 | Boston College vs Syracuse | -5.5W37–31 | 51.5 | W37–31 | O | Y |
| Sat 11/16 | Boston College at SMU | +19.0L28–38 | 54.5 | L28–38 | O | Y |
| Sat 11/23 | Boston College vs North Carolina | +2.0W41–21 | 50.5 | W41–21 | O | Y |
| Sat 11/30 | Boston College vs Pittsburgh | -3.5W34–23 | 50.5 | W34–23 | O | Y |
| Sat 12/28 | Boston College vs Nebraska | +3.0L15–20 | 47.5 | L15–20 | U | 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 +0.33
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 6 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Louisville Edge
Louisville +3.6
GC Edge (season-to-date)
Teams with this edge win 49.4% of games historically
Based on 7 games this season
Actual Result
CSS Battle
Louisville
1 — 2 sequences
✓ Predicted correctly
GC Battle
Boston College
61.6 — 23.6 GC score
✗ Predicted incorrectly
Game Result
Louisville won by 4
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Louisville, but the GC edge is small. When metrics agree but GC is near-neutral, the agreed-upon team has covered only 46.7% of the time historically (n=224) — potentially a fade signal.
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
Boston College
Bill O'Brien #1
0–0 (0%)
· Yr 1 at school
OC
Will Lawing
Yr 1
#1
DC
Tim Lewis
Yr 1
#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 ✓

