Sat, Sep 7 2024
·
Week 2
·
🏟 Dix Stadium
Kent, OH
·
Turf
·
25,000 cap
St. Francis (PA)✈ 146 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
67.1%
Kent State wins
Solid
Vegas Spread
Kent State -17.5
O/U 49.5
ESPN Bet
St. Francis (PA) 2024 Schedule
St. Francis (PA)'s 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/7 | St. Francis (PA) at Kent State | +17.5W23–17 | 49.5 | W23–17 | U | Y |
| — Bye Week — | ||||||
| Sat 9/21 | St. Francis (PA) at Eastern Michigan | +25.5L0–36 | 45.5 | L0–36 | U | N |
Kent State 2024 Schedule
Kent State's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Kent State at Pittsburgh | +23.5L24–55 | 55.5 | L24–55 | O | N |
| Sat 9/7 | Kent State vs St. Francis (PA) | -17.5L17–23 | 49.5 | L17–23 | U | N |
| Sat 9/14 | Kent State at Tennessee | +49.5L0–71 | 61.5 | L0–71 | O | N |
| Sat 9/21 | Kent State at Penn State | +49.0L0–56 | 58.0 | L0–56 | U | N |
| Sat 9/28 | Kent State vs Eastern Michigan | +14.0L33–52 | 46.0 | L33–52 | O | N |
| — Bye Week — | ||||||
| Sat 10/12 | Kent State vs Ball State | +3.0L35–37 | 58.0 | L35–37 | O | Y |
| Sat 10/19 | Kent State at Bowling Green | +24.0L6–27 | 54.5 | L6–27 | U | Y |
| Sat 10/26 | Kent State at Western Michigan | +19.0L21–52 | 61.0 | L21–52 | O | N |
| — Bye Week — | ||||||
| Wed 11/6 | Kent State vs Ohio | +20.5L0–41 | 53.5 | L0–41 | U | N |
| Wed 11/13 | Kent State at Miami (OH) | +31.0L7–34 | 47.5 | L7–34 | U | Y |
| Tue 11/19 | Kent State vs Akron | +10.5L17–38 | 49.0 | L17–38 | O | N |
| Tue 11/26 | Kent State at Buffalo | +23.5L7–43 | 50.5 | L7–43 | U | N |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
St. Francis (PA) Edge
St. Francis (PA) +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?
Kent State Edge
Kent State +15.1
GC Edge (season-to-date)
Teams with this edge win 67.1% 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 ✓