Sat, Sep 25 2021
·
Week 4
·
🏟 Alumni Stadium
Chestnut Hill, MA
·
Turf
·
44,500 cap
Missouri✈ 1,131 mi+1 hr TZ
Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors Missouri,
while Game Control favors Boston College.
Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
73.7%
Missouri wins
Solid
Game Control
76%
Boston College wins
Strong
Vegas Spread
Boston College -1
O/U 58.5
teamrankings
Advanced Stats
Advanced factors are split · No strong agreement signal
↓ See full breakdown
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 |
Boston College 2021 Schedule
Boston College's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/4 | Boston College vs Colgate | -42.5W51–0 | 56.5 | W51–0 | U | Y |
| Sat 9/11 | Boston College at Massachusetts | -39.0W45–28 | 57.0 | W45–28 | O | N |
| Sat 9/18 | Boston College at Temple | -15.0W28–3 | 55.5 | W28–3 | U | Y |
| Sat 9/25 | Boston College vs Missouri | -1.0W41–34 | 58.5 | W41–34 | O | Y |
| Sat 10/2 | Boston College at Clemson | +14.5L13–19 | 46.5 | L13–19 | U | Y |
| — Bye Week — | ||||||
| Sat 10/16 | Boston College vs NC State | +3.0L7–33 | 51.0 | L7–33 | U | N |
| Sat 10/23 | Boston College at Louisville | +4.0L14–28 | 57.5 | L14–28 | U | N |
| Sat 10/30 | Boston College at Syracuse | +6.5L6–21 | 51.5 | L6–21 | U | N |
| Fri 11/5 | Boston College vs Virginia Tech | +1.0W17–3 | 51.0 | W17–3 | U | Y |
| Sat 11/13 | Boston College at Georgia Tech | -2.0W41–30 | 55.0 | W41–30 | O | Y |
| Sat 11/20 | Boston College vs Florida State | -3.0L23–26 | 55.5 | L23–26 | U | N |
| Sat 11/27 | Boston College vs Wake Forest | +5.5L10–41 | 64.0 | L10–41 | U | N |
| Mon 12/27 | Boston College vs East Carolina | -3.0 | 52.5 | — | — | — |
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
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 · 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 +1.00
CSS Edge (season-to-date)
Teams with this edge win 73.7% of games historically
Based on 2 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Boston College Edge
Boston College +36.9
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 3 games this season
Actual Result
CSS Battle
Boston College
2 — 1 sequences
✗ Predicted incorrectly
GC Battle
Boston College
34.9 — 30.2 GC score
✓ Predicted correctly
Game Result
Boston College won by 7
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
CSS and GC disagree on this matchup. When the metrics split, historical cover rates are essentially random — treat this as a coin flip against the spread.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Missouri
Eliah Drinkwitz #1
7–6 (54%)
· Yr 2 at school
OC
Eliah Drinkwitz
Yr 1
#1
DC
Steve Wilks
Yr 1
#1
Boston College
Jeff Hafley #1
9–5 (64%)
· Yr 2 at school
OC
Frank Cignetti Jr.
Yr 1
#1
DC
Tem Lukabu
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 ✓