Sat, Sep 17 2022
·
Week 3
·
🏟 Dix Stadium
Kent, OH
·
Turf
·
25,000 cap
Long Island University✈ 403 miSame TZ
Preseason projection — This game has not yet been played and 2022 in-season data is not yet available.
Edges are based on 2021 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%
Kent State wins
Strong
Vegas Spread
Kent State -40
O/U 64.5
consensus
Long Island University 2022 Schedule
Long Island University's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 9/1 | Long Island University at Toledo | +47.5L0–37 | 57.0 | L0–37 | U | Y |
| — Bye Week — | ||||||
| Sat 9/17 | Long Island University at Kent State | +40.0L10–63 | 64.5 | L10–63 | O | N |
Kent State 2022 Schedule
Kent State's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | Kent State at Washington | +23.5L20–45 | 61.5 | L20–45 | O | N |
| Sat 9/10 | Kent State at Oklahoma | +33.5L3–33 | 73.0 | L3–33 | U | Y |
| Sat 9/17 | Kent State vs Long Island University | -40.0W63–10 | 64.5 | W63–10 | O | Y |
| Sat 9/24 | Kent State at Georgia | +45.0L22–39 | 61.5 | L22–39 | U | Y |
| Sat 10/1 | Kent State vs Ohio | -13.0W31–24 | 65.5 | W31–24 | U | N |
| Sat 10/8 | Kent State at Miami (OH) | -5.0L24–27 | 56.5 | L24–27 | U | N |
| Sat 10/15 | Kent State at Toledo | +7.0L31–52 | 62.5 | L31–52 | O | N |
| Sat 10/22 | Kent State vs Akron | -16.0W33–27 | 65.0 | W33–27 | U | N |
| — Bye Week — | ||||||
| Tue 11/1 | Kent State vs Ball State | -7.0L20–27 | 61.5 | L20–27 | U | N |
| Wed 11/9 | Kent State at Bowling Green | -2.5W40–6 | 55.5 | W40–6 | U | Y |
| Wed 11/16 | Kent State vs Eastern Michigan | -7.5L24–31 | 60.0 | L24–31 | U | N |
| Sat 11/26 | Kent State at Buffalo | +4.5W30–27 | 51.0 | W30–27 | 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 2021 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Kent State Edge
Kent State +39.4
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 2021 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 ✓