Coastal Carolina at Marshall Week 9 College Football Matchup Coastal Carolina at Marshall Matchup - Week 9
Sat, Oct 29 2022 · Week 9 · 🏟 Joan C. Edwards Stadium Huntington, WV · Turf · 38,019 cap
Coastal Carolina✈ 372 miSame TZ
24 13
Final
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📊 Punt & Rally Projection
Coastal Carolina
24
MRSH -2.5
Marshall
29
P&R Line Marshall -5
P&R Total O/U 52
Confidence 90 High
Vegas Marshall -2.5 · O/U 54.0
Matchup Prediction
Coastal Carolina has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor Coastal Carolina entering this game.
Momentum Control
61.3%
Coastal Carolina wins
Lean
Game Control
58.3%
Coastal Carolina wins
Lean
Vegas Spread
Marshall -2.5
O/U 54.0
teamrankings
Advanced Stats
All 4 factors agree → Marshall · 83.1% ATS historically when all four align
↓ See full breakdown
🛋 Coastal Carolina Coming off BYE
Coastal Carolina 2022 Schedule
Coastal Carolina's 2022 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/3Coastal Carolina vs Army-1.5W38–2854.0W38–28OY
Sat 9/10Coastal Carolina vs Gardner-Webb-32.5W31–2766.5W31–27UN
Sat 9/17Coastal Carolina vs Buffalo-12.0W38–2660.0W38–26ON
Thu 9/22Coastal Carolina at Georgia State-2.5W41–2463.5W41–24OY
Sat 10/1Coastal Carolina vs Georgia Southern-10.0W34–3069.5W34–30UN
Sat 10/8Coastal Carolina at UL Monroe-12.5W28–2158.0W28–21UN
Sat 10/15Coastal Carolina vs Old Dominion-11.0L21–4958.5L21–49ON
— Bye Week —
Sat 10/29Coastal Carolina at Marshall+2.5W24–1354.0W24–13UY
Thu 11/3Coastal Carolina vs App State+3.0W35–2865.5W35–28UY
Sat 11/12Coastal Carolina vs Southern Miss-4.5W26–2348.0W26–23ON
Sat 11/19Coastal Carolina at Virginia+2.044.5
Sat 11/26Coastal Carolina at James Madison+15.5L7–4753.0L7–47ON
Sat 12/3Coastal Carolina at Troy+7.0L26–4549.0L26–45ON
Tue 12/27Coastal Carolina vs East Carolina+7.0L29–5367.5L29–53ON
Marshall 2022 Schedule
Marshall's 2022 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/3Marshall vs Norfolk State-40.5W55–359.0W55–3UY
Sat 9/10Marshall at Notre Dame+20.5W26–2148.0W26–21UY
Sat 9/17Marshall at Bowling Green-17.0L31–3450.0L31–34ON
Sat 9/24Marshall at Troy-3.0L7–1651.5L7–16UN
Sat 10/1Marshall vs Gardner-Webb-31.0W28–756.0W28–7UN
— Bye Week —
Wed 10/12Marshall vs Louisiana-10.5L13–2345.5L13–23UN
Sat 10/22Marshall at James Madison+9.5W26–1248.5W26–12UY
Sat 10/29Marshall vs Coastal Carolina-2.5L13–2454.0L13–24UN
Sat 11/5Marshall at Old Dominion-3.5W12–046.5W12–0UY
Sat 11/12Marshall vs App State+2.0W28–2147.5W28–21OY
Sat 11/19Marshall at Georgia Southern-6.0W23–1052.5W23–10UY
Sat 11/26Marshall vs Georgia State-6.5W28–2345.5W28–23ON
Mon 12/19Marshall vs UConn-11.5W28–1442.0W28–14UY
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2022 season
Marshall PPA Edge
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
Coastal Carolina
+0.249
Marshall
+0.378
Marshall Edge
PPA Passing
Pass efficiency edge · Strong predictor
Coastal Carolina
+0.401
Marshall
+0.534
Marshall Edge
Havoc Total
Def. disruption rate · Strong predictor
Coastal Carolina
0.183
Marshall
0.244
TFLs, sacks, PBUs, forced fumbles — higher is better
Marshall Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Coastal Carolina
+6.450
Marshall
+6.929
Marshall Edge
Success Rate
Play consistency edge · Solid predictor
Coastal Carolina
+0.768
Marshall
+0.853
Marshall Edge
Field Position
Avg start (lower=better) · Solid predictor
Coastal Carolina
71.9
Marshall
68.6
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Marshall Edge
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
Marshall Rated Higher
Overall Power Rating
Coastal Carolina
-14.3
Marshall
-3.0
Offense Rating
Coastal Carolina
7.8
Marshall
13.9
Defense Rating (lower = better defense)
Coastal Carolina
22.1
Marshall
16.9
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? Coastal Carolina Edge
Avg sequences created per game
Coastal Carolina #17
0.57
Marshall #112
0.17
Avg sequences allowed per game (lower is better)
Coastal Carolina #121
0.86
Marshall #21
0.83
Coastal Carolina +0.40
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 6 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? Coastal Carolina Edge
Avg GC score per game (offense)
Coastal Carolina #1
60.2
Marshall #1
53.4
Avg GC score allowed per game (lower is better)
Coastal Carolina #58
22.2
Marshall #46
35.0
Coastal Carolina +6.8
GC Edge (season-to-date)
Teams with this edge win 58.3% of games historically
Based on 7 games this season
Actual Result
CSS Battle
Coastal Carolina
1 — 2 sequences
✓ Predicted correctly
GC Battle
Coastal Carolina
7.2 — 88.9 GC score
✓ Predicted correctly
Game Result
Coastal Carolina won by 11
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on Coastal Carolina. 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
Coastal Carolina
Jamey Chadwell #1
30–19 (61%) · Yr 4 at school
OC Willy Korn Yr 2 #1
DC Chad Staggs Yr 2 #1
Staff Rating
0.00 #1
Marshall
Charles Huff #1
7–6 (54%) · Yr 2 at school
OC Clint Trickett Yr 1 #1
DC Lance Guidry Yr 2 #1
Staff Rating
0.00 #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