Sat, Sep 6 2025
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Week 2
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🏟 Dowdy-Ficklen Stadium
Greenville, NC
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Turf
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50,000 cap
Campbell✈ 78 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%
East Carolina wins
Strong
Vegas Spread
East Carolina -30.0
O/U 56.0
Bovada
Campbell 2025 Schedule
Campbell's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/6 | Campbell at East Carolina | +30.0L3–56 | 56.0 | L3–56 | O | N |
| — Bye Week — | ||||||
| Sat 10/4 | Campbell at NC State | +42.5L10–56 | 61.5 | L10–56 | O | N |
East Carolina 2025 Schedule
East Carolina's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/28 | East Carolina at NC State | +12.5L17–24 | 58.5 | L17–24 | U | Y |
| Sat 9/6 | East Carolina vs Campbell | -30.0W56–3 | 56.0 | W56–3 | O | Y |
| Sat 9/13 | East Carolina at Coastal Carolina | -7.0W38–0 | 58.0 | W38–0 | U | Y |
| Sat 9/20 | East Carolina vs BYU | +6.5L13–34 | 49.5 | L13–34 | U | N |
| Thu 9/25 | East Carolina vs Army | -3.5W28–6 | 52.5 | W28–6 | U | Y |
| — Bye Week — | ||||||
| Thu 10/9 | East Carolina at Tulane | +7.0L19–26 | 53.5 | L19–26 | U | Y |
| Thu 10/16 | East Carolina vs Tulsa | -16.5W41–27 | 54.5 | W41–27 | O | N |
| — Bye Week — | ||||||
| Sat 11/1 | East Carolina at Temple | -5.5W45–14 | 58.5 | W45–14 | O | Y |
| Sat 11/8 | East Carolina vs Charlotte | -29.5W48–22 | 56.5 | W48–22 | O | N |
| Sat 11/15 | East Carolina vs Memphis | -3.0W31–27 | 56.5 | W31–27 | O | Y |
| Sat 11/22 | East Carolina at UTSA | -2.0L24–58 | 62.5 | L24–58 | O | N |
| Sat 11/29 | East Carolina at Florida Atlantic | -6.5W42–3 | 66.5 | W42–3 | U | Y |
| Sat 12/27 | East Carolina vs Pittsburgh | +13.5W23–17 | 51.5 | W23–17 | U | Y |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Campbell Edge
Campbell +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?
East Carolina Edge
East Carolina +27.0
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 ✓