Matchup Prediction
Georgia
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Georgia entering this game.
Momentum Control
71.6%
Georgia wins
Solid
Game Control
58.6%
Georgia wins
Lean
Vegas Spread
Georgia -21.5
O/U 44.5
teamrankings
Advanced Stats
All 4 factors agree → Georgia
· 83.1% ATS historically when all four align
↓ See full breakdown
Kentucky 2021 Schedule
Kentucky's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/4 | Kentucky vs UL Monroe | -31.0W45–10 | 54.0 | W45–10 | O | Y |
| Sat 9/11 | Kentucky vs Missouri | -5.5W35–28 | 56.5 | W35–28 | O | Y |
| Sat 9/18 | Kentucky vs Chattanooga | -33.5W28–23 | 48.0 | W28–23 | O | N |
| Sat 9/25 | Kentucky at South Carolina | -4.5W16–10 | 49.0 | W16–10 | U | Y |
| Sat 10/2 | Kentucky vs Florida | +7.5W20–13 | 56.5 | W20–13 | U | Y |
| Sat 10/9 | Kentucky vs LSU | -2.0W42–21 | 50.5 | W42–21 | O | Y |
| Sat 10/16 | Kentucky at Georgia | +21.5L13–30 | 44.5 | L13–30 | U | Y |
| — Bye Week — | ||||||
| Sat 10/30 | Kentucky at Mississippi State | +1.0L17–31 | 47.0 | L17–31 | O | N |
| Sat 11/6 | Kentucky vs Tennessee | +1.0L42–45 | 57.5 | L42–45 | O | N |
| Sat 11/13 | Kentucky at Vanderbilt | -21.5W34–17 | 52.5 | W34–17 | U | N |
| Sat 11/20 | Kentucky vs New Mexico State | -35.5W56–16 | 61.0 | W56–16 | O | Y |
| Sat 11/27 | Kentucky at Louisville | +3.0W52–21 | 58.0 | W52–21 | O | Y |
| Sat 1/1 | Kentucky vs Iowa | -3.0W20–17 | 43.5 | W20–17 | U | N |
Georgia 2021 Schedule
Georgia's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/4 | Georgia vs Clemson | +3.0W10–3 | 51.5 | W10–3 | U | Y |
| Sat 9/11 | Georgia vs UAB | -22.5W56–7 | 44.0 | W56–7 | O | Y |
| Sat 9/18 | Georgia vs South Carolina | -31.5W40–13 | 47.5 | W40–13 | O | N |
| Sat 9/25 | Georgia at Vanderbilt | -36.0W62–0 | 54.5 | W62–0 | O | Y |
| Sat 10/2 | Georgia vs Arkansas | -16.5W37–0 | 48.0 | W37–0 | U | Y |
| Sat 10/9 | Georgia at Auburn | -14.5W34–10 | 45.5 | W34–10 | U | Y |
| Sat 10/16 | Georgia vs Kentucky | -21.5W30–13 | 44.5 | W30–13 | U | N |
| — Bye Week — | ||||||
| Sat 10/30 | Georgia vs Florida | -14.0W34–7 | 50.0 | W34–7 | U | Y |
| Sat 11/6 | Georgia vs Missouri | -40.0W43–6 | 59.0 | W43–6 | U | N |
| Sat 11/13 | Georgia at Tennessee | -19.0W41–17 | 56.0 | W41–17 | O | Y |
| Sat 11/20 | Georgia vs Charleston Southern | -52.5W56–7 | 59.5 | W56–7 | O | N |
| Sat 11/27 | Georgia at Georgia Tech | -35.5W45–0 | 54.5 | W45–0 | U | Y |
| Sat 12/4 | Georgia vs Alabama | -6.0L24–41 | 48.5 | L24–41 | O | N |
| Fri 12/31 | Georgia vs Michigan | -7.5W34–11 | 47.0 | W34–11 | U | Y |
| Mon 1/10 | Georgia vs Alabama | -3.0W33–18 | 53.5 | W33–18 | U | Y |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2021 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Georgia
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Georgia
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Georgia
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 · 2021 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?
Georgia Edge
Georgia +1.63
CSS Edge (season-to-date)
Teams with this edge win 71.6% of games historically
Based on 6 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Georgia Edge
Georgia +10.9
GC Edge (season-to-date)
Teams with this edge win 58.6% of games historically
Based on 6 games this season
Actual Result
CSS Battle
Georgia
2 — 0 sequences
✓ Predicted correctly
GC Battle
Georgia
92.8 — 2.0 GC score
✓ Predicted correctly
Game Result
Georgia won by 17
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Georgia. Teams with this edge profile have covered 50.3% historically — essentially a coin flip against the spread.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Kentucky
Mark Stoops #1
52–50 (51%)
· Yr 9 at school
OC
Liam Coen
Yr 1
#1
DC
Brad White
Yr 1
#1
Georgia
Kirby Smart #1
55–13 (81%)
· Yr 6 at school
OC
Todd Monken
Yr 1
#1
DC
Dan Lanning
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: 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 ✓