Sat, Sep 9 2023
·
Week 2
·
🏟 Commonwealth Stadium
Lexington, KY
·
Turf
·
61,000 cap
Preseason projection — This game has not yet been played and 2023 in-season data is not yet available.
Edges are based on 2022 full-season performance.
Confidence will increase once in-season games are logged.
Matchup Prediction
Kentucky
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Kentucky entering this game.
Momentum Control
58.4%
Kentucky wins
Lean
Game Control
67.1%
Kentucky wins
Solid
Vegas Spread
Kentucky -35
O/U 62.5
William Hill (New Jersey)
Eastern Kentucky 2023 Schedule
Eastern Kentucky's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Eastern Kentucky at Cincinnati | +21.5L13–66 | 57.5 | L13–66 | O | N |
| Sat 9/9 | Eastern Kentucky at Kentucky | +35.0L17–28 | 62.5 | L17–28 | U | Y |
Kentucky 2023 Schedule
Kentucky's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Kentucky vs Ball State | -25.0W44–14 | 49.0 | W44–14 | O | Y |
| Sat 9/9 | Kentucky vs Eastern Kentucky | -35.0W28–17 | 62.5 | W28–17 | U | N |
| Sat 9/16 | Kentucky vs Akron | -25.0W35–3 | 48.5 | W35–3 | U | Y |
| Sat 9/23 | Kentucky at Vanderbilt | -13.5W45–28 | 50.0 | W45–28 | O | Y |
| Sat 9/30 | Kentucky vs Florida | -1.0W33–14 | 44.0 | W33–14 | O | Y |
| Sat 10/7 | Kentucky at Georgia | +14.5L13–51 | 47.0 | L13–51 | O | N |
| Sat 10/14 | Kentucky vs Missouri | -1.5L21–38 | 50.5 | L21–38 | O | N |
| — Bye Week — | ||||||
| Sat 10/28 | Kentucky vs Tennessee | +4.0L27–33 | 50.5 | L27–33 | O | N |
| Sat 11/4 | Kentucky at Mississippi State | -5.5W24–3 | 44.5 | W24–3 | U | Y |
| Sat 11/11 | Kentucky vs Alabama | +10.0L21–49 | 45.5 | L21–49 | O | N |
| Sat 11/18 | Kentucky at South Carolina | +2.5L14–17 | 52.5 | L14–17 | U | N |
| Sat 11/25 | Kentucky at Louisville | +7.5W38–31 | 47.5 | W38–31 | O | Y |
| Fri 12/29 | Kentucky vs Clemson | +3.5L35–38 | 44.5 | L35–38 | O | Y |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Kentucky Edge
Kentucky +0.25
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2022 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Kentucky Edge
Kentucky +19.0
GC Edge (season-to-date)
Teams with this edge win 67.1% of games historically
Based on 2022 full season · preseason estimate
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 ✓