Sat, Oct 17 2026
·
Week 7
·
🏟 Carrier Dome
Syracuse, NY
·
Turf
·
49,250 cap
Louisville✈ 604 miSame TZ
Preseason projection — This game has not yet been played and 2026 in-season data is not yet available.
Edges are based on 2025 full-season performance.
Confidence will increase once in-season games are logged.
Matchup Prediction
Louisville
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Louisville entering this game.
Momentum Control
73.7%
Louisville wins
Solid
Game Control
75.9%
Louisville wins
Solid
Advanced Stats
All 4 factors agree → Louisville
· 83.1% ATS historically when all four align
↓ See full breakdown
Louisville 2026 Schedule
Louisville's 2026 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/5 | Louisville vs Ole Miss | +8.5 | 52.5 | — | — | — |
| Fri 9/11 | Louisville vs Villanova | -30.5 | — | — | — | — |
| Sat 9/19 | Louisville vs SMU | -0.5 | — | — | — | — |
| Sat 9/26 | Louisville vs Wake Forest | -9.5 | — | — | — | — |
| Sat 10/3 | Louisville at NC State | -2.5 | — | — | — | — |
| Fri 10/9 | Louisville vs Florida State | -5.5 | — | — | — | — |
| Sat 10/17 | Louisville at Syracuse | -10 | — | — | — | — |
| — Bye Week — | ||||||
| Sat 10/31 | Louisville vs Stanford | -16.5 | — | — | — | — |
| Fri 11/6 | Louisville at Georgia Tech | -5 | — | — | — | — |
| Sat 11/14 | Louisville at North Carolina | -6.5 | — | — | — | — |
| Sat 11/21 | Louisville vs Pittsburgh | -5.5 | — | — | — | — |
| Sat 11/28 | Louisville at Kentucky | -6.5 | — | — | — | — |
Syracuse 2026 Schedule
Syracuse's 2026 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/5 | Syracuse vs New Hampshire | -22 | — | — | — | — |
| Sat 9/12 | Syracuse vs California | +3.5 | — | — | — | — |
| Thu 9/17 | Syracuse at Pittsburgh | +12 | — | — | — | — |
| — Bye Week — | ||||||
| Sat 10/3 | Syracuse at UConn | -3.5 | — | — | — | — |
| Sat 10/10 | Syracuse at Virginia | +11 | — | — | — | — |
| Sat 10/17 | Syracuse vs Louisville | +10 | — | — | — | — |
| Sat 10/24 | Syracuse at North Carolina | +6 | — | — | — | — |
| Fri 10/30 | Syracuse vs SMU | +12 | — | — | — | — |
| Fri 11/6 | Syracuse vs Clemson | +9.5 | — | — | — | — |
| Sat 11/14 | Syracuse at NC State | +9.5 | — | — | — | — |
| Sat 11/21 | Syracuse at Boston College | +0 | — | — | — | — |
| Sat 11/28 | Syracuse vs Notre Dame | +26 | — | — | — | — |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2025 season (prior year)
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Louisville
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Louisville
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 · 2025 season (prior year — 2026 data not yet available) ·
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 +1.23
CSS Edge (season-to-date)
Teams with this edge win 73.7% of games historically
Based on 2025 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Louisville Edge
Louisville +27.4
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 2025 full season · preseason estimate
Coaching Matchup
Louisville
Jeff Brohm #25
28–12 (70%)
· Yr 4 at school
OC
Brian Brohm
Yr 3
#25
DC
Mark Ivey
Yr 1
#68
Syracuse
Fran Brown #68
13–12 (52%)
· Yr 3 at school
OC
Jeff Nixon
Yr 2
#67
DC
Vince Kehres
Yr 1
#5
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 ✓