Matchup Prediction
Kentucky
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Kentucky entering this game.
Momentum Control
71.6%
Kentucky wins
Solid
Game Control
50.6%
Kentucky wins
Toss-up
Vegas Spread
Kentucky -25
O/U 48.5
William Hill (New Jersey)
Advanced Stats
Advanced factors are split · No strong agreement signal
↓ See full breakdown
Akron 2023 Schedule
Akron's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Akron at Temple | +9.5L21–24 | 55.0 | L21–24 | U | Y |
| Sat 9/9 | Akron vs Morgan State | -25.0W24–21 | 46.0 | W24–21 | U | N |
| Sat 9/16 | Akron at Kentucky | +25.0L3–35 | 48.5 | L3–35 | U | N |
| Sat 9/23 | Akron at Indiana | +16.5L27–29 | 45.5 | L27–29 | O | Y |
| Sat 9/30 | Akron vs Buffalo | -3.0L10–13 | 53.0 | L10–13 | U | N |
| Sat 10/7 | Akron vs Northern Illinois | +4.0L14–55 | 42.5 | L14–55 | O | N |
| Sat 10/14 | Akron at Central Michigan | +10.5L10–17 | 44.0 | L10–17 | U | Y |
| Sat 10/21 | Akron at Bowling Green | +7.0L14–41 | 37.0 | L14–41 | O | N |
| — Bye Week — | ||||||
| Wed 11/1 | Akron vs Kent State | -4.0W31–27 | 39.0 | W31–27 | O | N |
| Wed 11/8 | Akron at Miami (OH) | +17.5L0–19 | 37.5 | L0–19 | U | N |
| Tue 11/14 | Akron at Eastern Michigan | +3.5L27–30 | 39.5 | L27–30 | O | Y |
| Fri 11/24 | Akron vs Ohio | +13.5L14–25 | 41.5 | L14–25 | 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 |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2023 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
Split
Metrics disagree
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 · 2023 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?
Kentucky Edge
Kentucky +1.00
CSS Edge (season-to-date)
Teams with this edge win 71.6% of games historically
Based on 1 game this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Kentucky Edge
Kentucky +4.2
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 2 games this season
Actual Result
CSS Battle
Kentucky
1 — 0 sequences
✓ Predicted correctly
GC Battle
Kentucky
86.4 — 6.4 GC score
✓ Predicted correctly
Game Result
Kentucky won by 32
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Kentucky, 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
Akron
Joe Moorhead #1
3–12 (20%)
· Yr 2 at school
OC
Billy Fessler
Yr 1
#1
DC
Tim Tibesar
Yr 2
#1
Kentucky
Mark Stoops #1
69–59 (54%)
· Yr 11 at school
OC
Liam Coen
Yr 2
#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 ✓