Sat, Sep 16 2023
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Week 3
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🏟 Brooks Stadium
Conway, SC
·
Turf
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9,214 cap
Duquesne✈ 462 miSame TZ
Preseason projection — This game has not yet been played and 2023 in-season data is not yet available.
Edges are based on 2022 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%
Coastal Carolina wins
Strong
Vegas Spread
Coastal Carolina -35
O/U 55.5
William Hill (New Jersey)
Duquesne 2023 Schedule
Duquesne's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/9 | Duquesne at West Virginia | +38.5L17–56 | 55.5 | L17–56 | O | N |
| Sat 9/16 | Duquesne at Coastal Carolina | +35.0L7–66 | 55.5 | L7–66 | O | N |
Coastal Carolina 2023 Schedule
Coastal Carolina's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Coastal Carolina at UCLA | +15.5L13–27 | 66.5 | L13–27 | U | Y |
| Sat 9/9 | Coastal Carolina vs Jacksonville State | -13.5W30–16 | 61.0 | W30–16 | U | Y |
| Sat 9/16 | Coastal Carolina vs Duquesne | -35.0W66–7 | 55.5 | W66–7 | O | Y |
| Thu 9/21 | Coastal Carolina vs Georgia State | -4.5L17–30 | 62.5 | L17–30 | U | N |
| Sat 9/30 | Coastal Carolina at Georgia Southern | +6.0L28–38 | 67.5 | L28–38 | U | N |
| — Bye Week — | ||||||
| Tue 10/10 | Coastal Carolina at App State | +4.5W27–24 | 59.0 | W27–24 | U | Y |
| Sat 10/21 | Coastal Carolina at Arkansas State | -8.5W27–17 | 59.0 | W27–17 | U | Y |
| Sat 10/28 | Coastal Carolina vs Marshall | +3.5W34–6 | 47.0 | W34–6 | U | Y |
| Sat 11/4 | Coastal Carolina at Old Dominion | -1.0W28–24 | 51.0 | W28–24 | O | Y |
| Sat 11/11 | Coastal Carolina vs Texas State | +2.5W31–23 | 55.5 | W31–23 | U | Y |
| Sat 11/18 | Coastal Carolina at Army | -1.5L21–28 | 40.5 | L21–28 | O | N |
| Sat 11/25 | Coastal Carolina vs James Madison | +9.5L14–56 | 50.5 | L14–56 | O | N |
| Sat 12/23 | Coastal Carolina vs San José State | +7.5W24–14 | 48.0 | W24–14 | U | Y |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Duquesne Edge
Duquesne +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2022 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Coastal Carolina Edge
Coastal Carolina +45.6
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 2022 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 ✓