Matchup Prediction
Missouri
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Missouri entering this game.
Momentum Control
71.6%
Missouri wins
Solid
Game Control
67.1%
Missouri wins
Solid
Vegas Spread
Missouri -3.5
O/U 49.5
DraftKings
Advanced Stats
PPA + Success Rate agree → Auburn
· 73.9% ATS historically
↓ See full breakdown
Auburn 2024 Schedule
Auburn's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Auburn vs Alabama A&M | -48.5W73–3 | 58.5 | W73–3 | O | Y |
| Sat 9/7 | Auburn vs California | -11.5L14–21 | 52.5 | L14–21 | U | N |
| Sat 9/14 | Auburn vs New Mexico | -25.5W45–19 | 58.5 | W45–19 | O | Y |
| Sat 9/21 | Auburn vs Arkansas | -2.5L14–24 | 53.5 | L14–24 | U | N |
| Sat 9/28 | Auburn vs Oklahoma | -2.0L21–27 | 43.0 | L21–27 | O | N |
| Sat 10/5 | Auburn at Georgia | +21.0L13–31 | 50.0 | L13–31 | U | Y |
| — Bye Week — | ||||||
| Sat 10/19 | Auburn at Missouri | +3.5L17–21 | 49.5 | L17–21 | U | N |
| Sat 10/26 | Auburn at Kentucky | +2.0W24–10 | 43.5 | W24–10 | U | Y |
| Sat 11/2 | Auburn vs Vanderbilt | -7.5L7–17 | 48.0 | L7–17 | U | N |
| — Bye Week — | ||||||
| Sat 11/16 | Auburn vs UL Monroe | -24.5W48–14 | 46.0 | W48–14 | O | Y |
| Sat 11/23 | Auburn vs Texas A&M | +2.5W43–41 | 47.0 | W43–41 | O | Y |
| Sat 11/30 | Auburn at Alabama | +10.5L14–28 | 50.5 | L14–28 | U | N |
Missouri 2024 Schedule
Missouri's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/29 | Missouri vs Murray State | -50.5W51–0 | 62.5 | W51–0 | U | Y |
| Sat 9/7 | Missouri vs Buffalo | -34.5W38–0 | 53.5 | W38–0 | U | Y |
| Sat 9/14 | Missouri vs Boston College | -14.5W27–21 | 51.5 | W27–21 | U | N |
| Sat 9/21 | Missouri vs Vanderbilt | -17.5W30–27 | 52.0 | W30–27 | O | N |
| — Bye Week — | ||||||
| Sat 10/5 | Missouri at Texas A&M | +3.0L10–41 | 47.5 | L10–41 | O | N |
| Sat 10/12 | Missouri at Massachusetts | -27.0W45–3 | 54.0 | W45–3 | U | Y |
| Sat 10/19 | Missouri vs Auburn | -3.5W21–17 | 49.5 | W21–17 | U | Y |
| Sat 10/26 | Missouri at Alabama | +16.0L0–34 | 51.5 | L0–34 | U | N |
| — Bye Week — | ||||||
| Sat 11/9 | Missouri vs Oklahoma | +3.5W30–23 | 41.5 | W30–23 | O | Y |
| Sat 11/16 | Missouri at South Carolina | +10.5L30–34 | 42.5 | L30–34 | O | Y |
| Sat 11/23 | Missouri at Mississippi State | -9.5W39–20 | 58.0 | W39–20 | O | Y |
| Sat 11/30 | Missouri vs Arkansas | -3.5W28–21 | 51.5 | W28–21 | U | Y |
| Mon 12/30 | Missouri vs Iowa | -1.0W27–24 | 41.0 | W27–24 | O | Y |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2024 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
→ Auburn
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 · 2024 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?
Missouri Edge
Missouri +1.20
CSS Edge (season-to-date)
Teams with this edge win 71.6% of games historically
Based on 5 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Missouri Edge
Missouri +18.2
GC Edge (season-to-date)
Teams with this edge win 67.1% of games historically
Based on 6 games this season
Actual Result
CSS Battle
Tie
1 — 1 sequences
✗ Predicted incorrectly
GC Battle
Auburn
21.9 — 47.1 GC score
✗ Predicted incorrectly
Game Result
Missouri 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 Missouri with a moderate edge in both. This is the strongest ATS signal in our backtest: teams in this situation have covered 55.8% of the time (n=113).
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Auburn
Hugh Freeze #1
6–7 (46%)
· Yr 2 at school
OC
Derrick Nix
Yr 1
#1
DC
D. J. Durkin
Yr 1
#1
Missouri
Eliah Drinkwitz #1
28–21 (57%)
· Yr 5 at school
OC
Kirby Moore
Yr 2
#1
DC
Corey Batoon
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 ✓