Sat, Sep 13 2025
·
Week 3
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🏟 Joan C. Edwards Stadium
Huntington, WV
·
Turf
·
38,019 cap
Eastern Kentucky✈ 112 miSame TZ
Preseason projection — This game has not yet been played and 2025 in-season data is not yet available.
Edges are based on 2024 full-season performance.
Confidence will increase once in-season games are logged.
Matchup Prediction
Toss-up — no clear edge
Neither metric shows a meaningful pre-game edge in this matchup.
Momentum Control
58.4%
—
Lean
Game Control
76%
Marshall wins
Strong
Vegas Spread
Marshall -14.5
O/U 49.5
DraftKings
Eastern Kentucky 2025 Schedule
Eastern Kentucky's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Eastern Kentucky at Louisville | +37.5L17–51 | 57.5 | L17–51 | O | Y |
| — Bye Week — | ||||||
| Sat 9/13 | Eastern Kentucky at Marshall | +14.5L7–38 | 49.5 | L7–38 | U | N |
Marshall 2025 Schedule
Marshall's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Marshall at Georgia | +39.5L7–45 | 55.5 | L7–45 | U | Y |
| Sat 9/6 | Marshall vs Missouri State | -7.0L20–21 | 53.5 | L20–21 | U | N |
| Sat 9/13 | Marshall vs Eastern Kentucky | -14.5W38–7 | 49.5 | W38–7 | U | Y |
| Sat 9/20 | Marshall at Middle Tennessee | -2.5W42–28 | 46.5 | W42–28 | O | Y |
| Sat 9/27 | Marshall at Louisiana | -2.5L51–54 | 47.5 | L51–54 | O | N |
| — Bye Week — | ||||||
| Sat 10/11 | Marshall vs Old Dominion | +14.5W48–24 | 57.5 | W48–24 | O | Y |
| Sat 10/18 | Marshall vs Texas State | +3.0W40–37 | 65.5 | W40–37 | O | Y |
| — Bye Week — | ||||||
| Thu 10/30 | Marshall at Coastal Carolina | -7.5L27–44 | 55.5 | L27–44 | O | N |
| Sat 11/8 | Marshall vs James Madison | +13.5L23–35 | 53.5 | L23–35 | O | Y |
| Sat 11/15 | Marshall at Georgia State | -9.5W30–18 | 59.5 | W30–18 | U | Y |
| Sat 11/22 | Marshall at App State | -3.5L24–26 | 57.5 | L24–26 | U | N |
| Sat 11/29 | Marshall vs Georgia Southern | -10.5L19–24 | 61.5 | L19–24 | U | N |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Eastern Kentucky Edge
Eastern Kentucky +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2024 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Marshall Edge
Marshall +47.9
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 2024 full season · preseason estimate
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 ✓