Sat, Sep 7 2024
·
Week 2
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🏟 Bridgeforth Stadium
Harrisonburg, VA
·
Turf
·
24,878 cap
Gardner-Webb✈ 269 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%
James Madison wins
Strong
Vegas Spread
James Madison -35.5
O/U 50.5
ESPN Bet
Gardner-Webb 2024 Schedule
Gardner-Webb's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/7 | Gardner-Webb at James Madison | +35.5L6–13 | 50.5 | L6–13 | U | Y |
| Sat 9/14 | Gardner-Webb at Charlotte | +14.0L26–27 | 46.5 | L26–27 | O | Y |
James Madison 2024 Schedule
James Madison's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | James Madison at Charlotte | -6.5W30–7 | 47.5 | W30–7 | U | Y |
| Sat 9/7 | James Madison vs Gardner-Webb | -35.5W13–6 | 50.5 | W13–6 | U | N |
| — Bye Week — | ||||||
| Sat 9/21 | James Madison at North Carolina | +10.0W70–50 | 48.0 | W70–50 | O | Y |
| Sat 9/28 | James Madison vs Ball State | -22.0W63–7 | 56.5 | W63–7 | O | Y |
| Sat 10/5 | James Madison at UL Monroe | -16.5L19–21 | 48.5 | L19–21 | U | N |
| Thu 10/10 | James Madison vs Coastal Carolina | -7.0W39–7 | 59.0 | W39–7 | U | Y |
| Sat 10/19 | James Madison at Georgia Southern | -9.5L14–28 | 58.5 | L14–28 | U | N |
| Sat 10/26 | James Madison vs Southern Miss | -24.0W32–15 | 54.0 | W32–15 | U | N |
| — Bye Week — | ||||||
| Sat 11/9 | James Madison vs Georgia State | -14.5W38–7 | 53.5 | W38–7 | U | Y |
| Sat 11/16 | James Madison at Old Dominion | -1.5W35–32 | 51.0 | W35–32 | O | Y |
| Sat 11/23 | James Madison at App State | -7.5L20–34 | 57.5 | L20–34 | U | N |
| Sat 11/30 | James Madison vs Marshall | -2.5L33–35 | 52.5 | L33–35 | O | N |
| Wed 12/18 | James Madison vs Western Kentucky | -7.5W27–17 | 50.5 | W27–17 | U | Y |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Gardner-Webb Edge
Gardner-Webb +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?
James Madison Edge
James Madison +52.3
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 ✓