Sat, Sep 2 2023
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Week 1
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🏟 Bridgeforth Stadium
Harrisonburg, VA
·
Turf
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24,878 cap
Bucknell✈ 203 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%
James Madison wins
Strong
Vegas Spread
James Madison -47
O/U 53.5
William Hill (New Jersey)
Bucknell 2023 Schedule
Bucknell's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Bucknell at James Madison | +47.0L3–38 | 53.5 | L3–38 | U | Y |
James Madison 2023 Schedule
James Madison's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | James Madison vs Bucknell | -47.0W38–3 | 53.5 | W38–3 | U | N |
| Sat 9/9 | James Madison at Virginia | -6.0W36–35 | 40.0 | W36–35 | O | N |
| Sat 9/16 | James Madison at Troy | +2.5W16–14 | 46.5 | W16–14 | U | Y |
| Sat 9/23 | James Madison at Utah State | -5.5W45–38 | 53.5 | W45–38 | O | Y |
| Sat 9/30 | James Madison vs South Alabama | -1.0W31–23 | 48.5 | W31–23 | O | Y |
| — Bye Week — | ||||||
| Sat 10/14 | James Madison vs Georgia Southern | -5.5W41–13 | 60.0 | W41–13 | U | Y |
| Thu 10/19 | James Madison at Marshall | -5.0W20–9 | 49.0 | W20–9 | U | Y |
| Sat 10/28 | James Madison vs Old Dominion | -19.5W30–27 | 48.0 | W30–27 | O | N |
| Sat 11/4 | James Madison at Georgia State | -6.0W42–14 | 53.0 | W42–14 | O | Y |
| Sat 11/11 | James Madison vs UConn | -24.5W44–6 | 47.5 | W44–6 | O | Y |
| Sat 11/18 | James Madison vs App State | -10.0L23–26 | 56.5 | L23–26 | U | N |
| Sat 11/25 | James Madison at Coastal Carolina | -9.5W56–14 | 50.5 | W56–14 | O | Y |
| Sat 12/23 | James Madison vs Air Force | +2.5L21–31 | 44.5 | L21–31 | O | N |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Bucknell Edge
Bucknell +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?
James Madison Edge
James Madison +66.2
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 ✓