Sat, Nov 13 2021
·
Week 11
·
🏟 Faurot Field
Columbia, MO
·
Turf
·
71,168 cap
South Carolina✈ 715 mi-1 hr TZ
Matchup Prediction
Missouri
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Missouri entering this game.
Momentum Control
58.4%
Missouri wins
Lean
Game Control
58.6%
Missouri wins
Lean
Vegas Spread
Missouri -1
O/U 56.5
teamrankings
Advanced Stats
3 factors agree (PPA + PPO + Havoc) → South Carolina
· 82.4% ATS historically
↓ See full breakdown
South Carolina 2021 Schedule
South Carolina's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/4 | South Carolina vs Eastern Illinois | -31.5W46–0 | 55.5 | W46–0 | U | Y |
| Sat 9/11 | South Carolina at East Carolina | -3.0W20–17 | 56.5 | W20–17 | U | N |
| Sat 9/18 | South Carolina at Georgia | +31.5L13–40 | 47.5 | L13–40 | O | Y |
| Sat 9/25 | South Carolina vs Kentucky | +4.5L10–16 | 49.0 | L10–16 | U | N |
| Sat 10/2 | South Carolina vs Troy | -6.5W23–14 | 43.0 | W23–14 | U | Y |
| Sat 10/9 | South Carolina at Tennessee | +10.5L20–45 | 57.0 | L20–45 | O | N |
| Sat 10/16 | South Carolina vs Vanderbilt | -19.0W21–20 | 50.0 | W21–20 | U | N |
| Sat 10/23 | South Carolina at Texas A&M | +19.0L14–44 | 46.0 | L14–44 | O | N |
| — Bye Week — | ||||||
| Sat 11/6 | South Carolina vs Florida | +20.5W40–17 | 52.0 | W40–17 | O | Y |
| Sat 11/13 | South Carolina at Missouri | +1.0L28–31 | 56.5 | L28–31 | O | N |
| Sat 11/20 | South Carolina vs Auburn | +7.0W21–17 | 45.5 | W21–17 | U | Y |
| Sat 11/27 | South Carolina vs Clemson | +11.5L0–30 | 42.5 | L0–30 | U | N |
| Thu 12/30 | South Carolina vs North Carolina | +12.5W38–21 | 57.5 | W38–21 | O | Y |
Missouri 2021 Schedule
Missouri's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/4 | Missouri vs Central Michigan | -13.5W34–24 | 59.0 | W34–24 | U | N |
| Sat 9/11 | Missouri at Kentucky | +5.5L28–35 | 56.5 | L28–35 | O | N |
| Sat 9/18 | Missouri vs Southeast Missouri State | -34.5W59–28 | 59.0 | W59–28 | O | N |
| Sat 9/25 | Missouri at Boston College | +1.0L34–41 | 58.5 | L34–41 | O | N |
| Sat 10/2 | Missouri vs Tennessee | -2.5L24–62 | 66.5 | L24–62 | O | N |
| Sat 10/9 | Missouri vs North Texas | -18.5W48–35 | 69.0 | W48–35 | O | N |
| Sat 10/16 | Missouri vs Texas A&M | +11.5L14–35 | 59.0 | L14–35 | U | N |
| — Bye Week — | ||||||
| Sat 10/30 | Missouri at Vanderbilt | -16.0W37–28 | 62.5 | W37–28 | O | N |
| Sat 11/6 | Missouri at Georgia | +40.0L6–43 | 59.0 | L6–43 | U | Y |
| Sat 11/13 | Missouri vs South Carolina | -1.0W31–28 | 56.5 | W31–28 | O | Y |
| Sat 11/20 | Missouri vs Florida | +9.5W24–23 | 69.0 | W24–23 | U | Y |
| Fri 11/26 | Missouri at Arkansas | +14.5L17–34 | 63.0 | L17–34 | U | N |
| Wed 12/22 | Missouri vs Army | +7.0L22–24 | 54.0 | L22–24 | 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
Split
Metrics disagree
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ South Carolina
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 · 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?
Missouri Edge
Missouri +0.56
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 9 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Missouri Edge
Missouri +9.6
GC Edge (season-to-date)
Teams with this edge win 58.6% of games historically
Based on 9 games this season
Actual Result
CSS Battle
Tie
1 — 1 sequences
✗ Predicted incorrectly
GC Battle
Missouri
48.5 — 24.3 GC score
✓ Predicted correctly
Game Result
Missouri won by 3
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Missouri. 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
South Carolina
Shane Beamer #1
2–1 (67%)
· Yr 1 at school
OC
Marcus Satterfield
Yr 1
#1
DC
Clayton White
Yr 1
#1
Missouri
Eliah Drinkwitz #1
7–6 (54%)
· Yr 2 at school
OC
Eliah Drinkwitz
Yr 1
#1
DC
Steve Wilks
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 ✓

