Sat, Oct 30 2021
·
Week 9
·
🏟 Joan C. Edwards Stadium
Huntington, WV
·
Turf
·
38,019 cap
Florida International✈ 883 miSame TZ
Matchup Prediction
Marshall
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Marshall entering this game.
Momentum Control
71.6%
Marshall wins
Solid
Game Control
76%
Marshall wins
Strong
Vegas Spread
Marshall -21.5
O/U 64.0
teamrankings
Advanced Stats
All 4 factors agree → Marshall
· 83.1% ATS historically when all four align
↓ See full breakdown
Florida International 2021 Schedule
Florida International's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 9/2 | Florida International vs Long Island University | -35.0W48–10 | 49.0 | W48–10 | O | Y |
| Sat 9/11 | Florida International vs Texas State | -2.0L17–23 | 55.5 | L17–23 | U | N |
| Sat 9/18 | Florida International at Texas Tech | +20.5L21–54 | 54.0 | L21–54 | O | N |
| Sat 9/25 | Florida International at Central Michigan | +12.0L27–31 | 55.0 | L27–31 | O | Y |
| Sat 10/2 | Florida International at Florida Atlantic | +10.5L21–58 | 52.0 | L21–58 | O | N |
| Fri 10/8 | Florida International vs Charlotte | +3.5L33–45 | 61.0 | L33–45 | O | N |
| — Bye Week — | ||||||
| Sat 10/23 | Florida International vs Western Kentucky | +16.5L19–34 | 78.0 | L19–34 | U | Y |
| Sat 10/30 | Florida International at Marshall | +21.5L0–38 | 64.0 | L0–38 | U | N |
| Sat 11/6 | Florida International vs Old Dominion | +3.0L24–47 | 50.0 | L24–47 | O | N |
| Sat 11/13 | Florida International at Middle Tennessee | +10.5L10–50 | 54.0 | L10–50 | O | N |
| Sat 11/20 | Florida International vs North Texas | +10.0L7–49 | 57.0 | L7–49 | U | N |
| Sat 11/27 | Florida International at Southern Miss | +14.5L17–37 | 45.5 | L17–37 | O | N |
Marshall 2021 Schedule
Marshall's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/4 | Marshall at Navy | -3.5W49–7 | 46.5 | W49–7 | O | Y |
| Sat 9/11 | Marshall vs North Carolina Central | -42.5W44–10 | 53.5 | W44–10 | O | N |
| Sat 9/18 | Marshall vs East Carolina | -11.0L38–42 | 58.5 | L38–42 | O | N |
| Thu 9/23 | Marshall at App State | +7.0L30–31 | 59.0 | L30–31 | O | Y |
| Sat 10/2 | Marshall at Middle Tennessee | -11.0L28–34 | 66.0 | L28–34 | U | N |
| Sat 10/9 | Marshall vs Old Dominion | -21.5W20–13 | 62.0 | W20–13 | U | N |
| Fri 10/15 | Marshall at North Texas | -11.0W49–21 | 66.5 | W49–21 | O | Y |
| — Bye Week — | ||||||
| Sat 10/30 | Marshall vs Florida International | -21.5W38–0 | 64.0 | W38–0 | U | Y |
| Sat 11/6 | Marshall at Florida Atlantic | -1.0W28–13 | 58.0 | W28–13 | U | Y |
| Sat 11/13 | Marshall vs UAB | -4.5L14–21 | 55.5 | L14–21 | U | N |
| Sat 11/20 | Marshall at Charlotte | -14.0W49–28 | 62.0 | W49–28 | O | Y |
| Sat 11/27 | Marshall vs Western Kentucky | +1.0L21–53 | 75.5 | L21–53 | U | N |
| Sat 12/18 | Marshall vs Louisiana | +4.0L21–36 | 55.5 | L21–36 | O | N |
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
→ Marshall
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Marshall
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Marshall
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?
Marshall Edge
Marshall +1.17
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?
Marshall Edge
Marshall +38.6
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 7 games this season
Actual Result
CSS Battle
Marshall
2 — 0 sequences
✓ Predicted correctly
GC Battle
Marshall
94.9 — 1.8 GC score
✓ Predicted correctly
Game Result
Marshall won by 38
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Marshall 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
Florida International
Butch Davis #1
24–23 (51%)
· Yr 5 at school
OC
Andrew Breiner
Yr 1
#1
DC
Everett Withers
Yr 1
#1
Marshall
Charles Huff #1
2–1 (67%)
· Yr 1 at school
OC
Tim Cramsey
Yr 1
#1
DC
Lance Guidry
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 ✓