Sat, Sep 16 2023
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Week 3
·
🏟 Dix Stadium
Kent, OH
·
Turf
·
25,000 cap
Central Connecticut✈ 444 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%
Kent State wins
Strong
Vegas Spread
Kent State -21.5
O/U 46.5
William Hill (New Jersey)
Central Connecticut 2023 Schedule
Central Connecticut's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/16 | Central Connecticut at Kent State | +21.5L10–38 | 46.5 | L10–38 | O | N |
Kent State 2023 Schedule
Kent State's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/31 | Kent State at UCF | +35.0L6–56 | 54.0 | L6–56 | O | N |
| Sat 9/9 | Kent State at Arkansas | +38.0L6–28 | 57.5 | L6–28 | U | Y |
| Sat 9/16 | Kent State vs Central Connecticut | -21.5W38–10 | 46.5 | W38–10 | O | Y |
| Sat 9/23 | Kent State at Fresno State | +27.5L10–53 | 47.5 | L10–53 | O | N |
| Sat 9/30 | Kent State vs Miami (OH) | +14.0L3–23 | 51.5 | L3–23 | U | N |
| Sat 10/7 | Kent State at Ohio | +24.5L17–42 | 45.5 | L17–42 | O | N |
| Sat 10/14 | Kent State at Eastern Michigan | +7.0L14–28 | 40.0 | L14–28 | O | N |
| Sat 10/21 | Kent State vs Buffalo | +6.5L6–24 | 44.0 | L6–24 | U | N |
| — Bye Week — | ||||||
| Wed 11/1 | Kent State at Akron | +4.0L27–31 | 39.0 | L27–31 | O | Y |
| Wed 11/8 | Kent State vs Bowling Green | +10.5L19–49 | 41.5 | L19–49 | O | N |
| Sat 11/18 | Kent State at Ball State | +10.5L3–34 | 41.5 | L3–34 | U | N |
| Sat 11/25 | Kent State vs Northern Illinois | +20.5L27–37 | 44.5 | L27–37 | O | Y |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Central Connecticut Edge
Central Connecticut +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?
Kent State Edge
Kent State +34.6
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 ✓