Sat, Sep 9 2023
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Week 2
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🏟 Kelly/Shorts Stadium
Mount Pleasant, MI
·
Turf
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32,885 cap
New Hampshire✈ 694 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%
Central Michigan wins
Strong
Vegas Spread
Central Michigan -7
O/U 48.5
William Hill (New Jersey)
New Hampshire 2023 Schedule
New Hampshire's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/9 | New Hampshire at Central Michigan | +7.0L42–45 | 48.5 | L42–45 | O | Y |
Central Michigan 2023 Schedule
Central Michigan's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Fri 9/1 | Central Michigan at Michigan State | +14.0L7–31 | 45.0 | L7–31 | U | N |
| Sat 9/9 | Central Michigan vs New Hampshire | -7.0W45–42 | 48.5 | W45–42 | O | N |
| Sat 9/16 | Central Michigan at Notre Dame | +34.5L17–41 | 51.5 | L17–41 | O | Y |
| Sat 9/23 | Central Michigan at South Alabama | +16.5W34–30 | 46.5 | W34–30 | O | Y |
| Sat 9/30 | Central Michigan vs Eastern Michigan | -9.5W26–23 | 45.0 | W26–23 | O | N |
| Sat 10/7 | Central Michigan at Buffalo | -2.5L13–37 | 51.5 | L13–37 | U | N |
| Sat 10/14 | Central Michigan vs Akron | -10.5W17–10 | 44.0 | W17–10 | U | N |
| Sat 10/21 | Central Michigan at Ball State | -5.0L17–24 | 42.0 | L17–24 | U | N |
| — Bye Week — | ||||||
| Tue 10/31 | Central Michigan vs Northern Illinois | +3.0W37–31 | 48.0 | W37–31 | O | Y |
| Tue 11/7 | Central Michigan at Western Michigan | +3.5L28–38 | 57.5 | L28–38 | O | N |
| Wed 11/15 | Central Michigan at Ohio | +11.5L20–34 | 48.5 | L20–34 | O | N |
| Fri 11/24 | Central Michigan vs Toledo | +12.5L17–32 | 54.5 | L17–32 | U | N |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
New Hampshire Edge
New Hampshire +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?
Central Michigan Edge
Central Michigan +35.4
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 ✓