Sat, Aug 31 2024
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Week 1
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🏟 Joan C. Edwards Stadium
Huntington, WV
·
Turf
·
38,019 cap
Stony Brook✈ 523 miSame TZ
Preseason projection — This game has not yet been played and 2024 in-season data is not yet available.
Edges are based on 2023 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 -32.5
O/U 56.5
ESPN Bet
Stony Brook 2024 Schedule
Stony Brook's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Stony Brook at Marshall | +32.5L3–45 | 56.5 | L3–45 | U | N |
Marshall 2024 Schedule
Marshall's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Marshall vs Stony Brook | -32.5W45–3 | 56.5 | W45–3 | U | Y |
| Sat 9/7 | Marshall at Virginia Tech | +20.5L14–31 | 52.5 | L14–31 | U | Y |
| — Bye Week — | ||||||
| Sat 9/21 | Marshall at Ohio State | +40.0L14–49 | 57.0 | L14–49 | O | Y |
| Sat 9/28 | Marshall vs Western Michigan | -3.5W27–20 | 53.5 | W27–20 | U | Y |
| Sat 10/5 | Marshall vs App State | -3.0W52–37 | 56.5 | W52–37 | O | Y |
| Sat 10/12 | Marshall at Georgia Southern | +1.0L23–24 | 58.5 | L23–24 | U | Y |
| Thu 10/17 | Marshall vs Georgia State | -9.5W35–20 | 51.5 | W35–20 | O | Y |
| — Bye Week — | ||||||
| Sat 11/2 | Marshall vs UL Monroe | -10.5W28–23 | 48.0 | W28–23 | O | N |
| Sat 11/9 | Marshall at Southern Miss | -13.5W37–3 | 53.5 | W37–3 | U | Y |
| Sat 11/16 | Marshall vs Coastal Carolina | -7.5W31–19 | 57.0 | W31–19 | U | Y |
| Sat 11/23 | Marshall at Old Dominion | +3.0W42–35 | 51.0 | W42–35 | O | Y |
| Sat 11/30 | Marshall at James Madison | +2.5W35–33 | 52.5 | W35–33 | O | Y |
| Sat 12/7 | Marshall at Louisiana | +5.0W31–3 | 58.0 | W31–3 | U | Y |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Stony Brook Edge
Stony Brook +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2023 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Marshall Edge
Marshall +23.6
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 2023 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: 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 ✓