Matchup Prediction
Georgia
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Georgia entering this game.
Momentum Control
80.6%
Georgia wins
Strong
Game Control
75.9%
Georgia wins
Solid
Vegas Spread
Georgia -30.5
O/U 54.0
teamrankings
Advanced Stats
PPA + Success Rate agree → Georgia
· 73.9% ATS historically
↓ See full breakdown
Georgia 2022 Schedule
Georgia's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | Georgia vs Oregon | -16.0W49–3 | 54.5 | W49–3 | U | Y |
| Sat 9/10 | Georgia vs Samford | -53.0W33–0 | 62.5 | W33–0 | U | N |
| Sat 9/17 | Georgia at South Carolina | -25.5W48–7 | 56.0 | W48–7 | U | Y |
| Sat 9/24 | Georgia vs Kent State | -45.0W39–22 | 61.5 | W39–22 | U | N |
| Sat 10/1 | Georgia at Missouri | -30.5W26–22 | 54.0 | W26–22 | U | N |
| Sat 10/8 | Georgia vs Auburn | -27.5W42–10 | 49.5 | W42–10 | O | Y |
| Sat 10/15 | Georgia vs Vanderbilt | -37.5W55–0 | 56.5 | W55–0 | U | Y |
| — Bye Week — | ||||||
| Sat 10/29 | Georgia vs Florida | -23.0W42–20 | 56.5 | W42–20 | O | N |
| Sat 11/5 | Georgia vs Tennessee | -9.5W27–13 | 65.5 | W27–13 | U | Y |
| Sat 11/12 | Georgia at Mississippi State | -16.5W45–19 | 53.0 | W45–19 | O | Y |
| Sat 11/19 | Georgia at Kentucky | -22.5W16–6 | 47.5 | W16–6 | U | N |
| Sat 11/26 | Georgia vs Georgia Tech | -36.5W37–14 | 49.0 | W37–14 | O | N |
| Sat 12/3 | Georgia vs LSU | -17.0W50–30 | 52.0 | W50–30 | O | Y |
| Sat 12/31 | Georgia vs Ohio State | -5.5W42–41 | 62.0 | W42–41 | O | N |
| Mon 1/9 | Georgia vs TCU | -13.5W65–7 | 62.0 | W65–7 | O | Y |
Missouri 2022 Schedule
Missouri's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 9/1 | Missouri vs Louisiana Tech | -20.0W52–24 | 62.5 | W52–24 | O | Y |
| Sat 9/10 | Missouri at Kansas State | +7.0L12–40 | 52.5 | L12–40 | U | N |
| Sat 9/17 | Missouri vs Abilene Christian | -31.5W34–17 | 56.5 | W34–17 | U | N |
| Sat 9/24 | Missouri at Auburn | +7.5L14–17 | 51.0 | L14–17 | U | Y |
| Sat 10/1 | Missouri vs Georgia | +30.5L22–26 | 54.0 | L22–26 | U | Y |
| Sat 10/8 | Missouri at Florida | +11.0L17–24 | 53.5 | L17–24 | U | Y |
| — Bye Week — | ||||||
| Sat 10/22 | Missouri vs Vanderbilt | -14.0W17–14 | 49.0 | W17–14 | U | N |
| Sat 10/29 | Missouri at South Carolina | +3.5W23–10 | 45.5 | W23–10 | U | Y |
| Sat 11/5 | Missouri vs Kentucky | -1.0L17–21 | 40.0 | L17–21 | U | N |
| Sat 11/12 | Missouri at Tennessee | +18.5L24–66 | 57.5 | L24–66 | O | N |
| Sat 11/19 | Missouri vs New Mexico State | -29.0W45–14 | 46.5 | W45–14 | O | Y |
| Fri 11/25 | Missouri vs Arkansas | +3.0W29–27 | 55.5 | W29–27 | O | Y |
| Fri 12/23 | Missouri vs Wake Forest | +3.0L17–27 | 59.0 | L17–27 | U | N |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2022 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
→ 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 · 2022 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 +3.17
CSS Edge (season-to-date)
Teams with this edge win 80.6% of games historically
Based on 4 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Georgia Edge
Georgia +42.0
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 4 games this season
Actual Result
CSS Battle
Tie
2 — 2 sequences
✗ Predicted incorrectly
GC Battle
Georgia
26.4 — 57.9 GC score
✓ Predicted correctly
Game Result
Georgia 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 Georgia with a large edge. Historically, dominant teams like this are fully priced into the spread — the agreed-upon team covers just 50.2% of the time. The metrics predict game control better than they beat the number.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Georgia
Kirby Smart #1
66–15 (82%)
· Yr 7 at school
OC
Todd Monken
Yr 2
#1
DC
Will Muschamp
Yr 1
#1
Missouri
Eliah Drinkwitz #1
11–12 (48%)
· Yr 3 at school
OC
Curtis Luper
Yr 1
#1
DC
Blake Baker
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 ✓