Sat, Sep 2 2023
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Week 1
·
🏟 Peden Stadium
Athens, OH
·
Turf
·
24,000 cap
Long Island University✈ 461 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%
Ohio wins
Strong
Vegas Spread
Ohio -34.5
O/U 58.0
William Hill (New Jersey)
Long Island University 2023 Schedule
Long Island University's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Long Island University at Ohio | +34.5L10–27 | 58.0 | L10–27 | U | Y |
| — Bye Week — | ||||||
| Sat 9/16 | Long Island University at Baylor | +44.0L7–30 | 54.0 | L7–30 | U | Y |
Ohio 2023 Schedule
Ohio's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/26 | Ohio at San Diego State | +2.0L13–20 | 48.5 | L13–20 | U | N |
| Sat 9/2 | Ohio vs Long Island University | -34.5W27–10 | 58.0 | W27–10 | U | N |
| Sat 9/9 | Ohio at Florida Atlantic | +3.5W17–10 | 61.5 | W17–10 | U | Y |
| Sat 9/16 | Ohio vs Iowa State | +1.5W10–7 | 42.0 | W10–7 | U | Y |
| Sat 9/23 | Ohio at Bowling Green | -13.0W38–7 | 45.0 | W38–7 | U | Y |
| — Bye Week — | ||||||
| Sat 10/7 | Ohio vs Kent State | -24.5W42–17 | 45.5 | W42–17 | O | Y |
| Sat 10/14 | Ohio at Northern Illinois | -5.5L13–23 | 45.0 | L13–23 | U | N |
| Sat 10/21 | Ohio vs Western Michigan | -16.5W20–17 | 52.0 | W20–17 | U | N |
| Sat 10/28 | Ohio vs Miami (OH) | -7.5L16–30 | 39.0 | L16–30 | O | N |
| — Bye Week — | ||||||
| Tue 11/7 | Ohio at Buffalo | -9.5W20–10 | 45.5 | W20–10 | U | Y |
| Wed 11/15 | Ohio vs Central Michigan | -11.5W34–20 | 48.5 | W34–20 | O | Y |
| Fri 11/24 | Ohio at Akron | -13.5W25–14 | 41.5 | W25–14 | U | N |
| Sat 12/16 | Ohio vs Georgia Southern | +1.5W41–21 | 48.5 | W41–21 | O | Y |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Long Island University Edge
Long Island University +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?
Ohio Edge
Ohio +48.3
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: 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 ✓