Sat, Oct 1 2022
·
Week 5
·
🏟 Dix Stadium
Kent, OH
·
Turf
·
25,000 cap
Ohio✈ 132 miSame TZ
Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors Ohio,
while Game Control favors Kent State.
Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
61.3%
Ohio wins
Lean
Game Control
50.6%
Kent State wins
Toss-up
Vegas Spread
Kent State -13
O/U 65.5
teamrankings
Advanced Stats
All 4 factors agree → Ohio
· 83.1% ATS historically when all four align
↓ See full breakdown
Ohio 2022 Schedule
Ohio's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | Ohio vs Florida Atlantic | +6.0W41–38 | 51.0 | W41–38 | O | Y |
| Sat 9/10 | Ohio at Penn State | +28.0L10–46 | 55.0 | L10–46 | O | N |
| Sat 9/17 | Ohio at Iowa State | +20.0L10–43 | 48.0 | L10–43 | O | N |
| Sat 9/24 | Ohio vs Fordham | -16.5W59–52 | 73.5 | W59–52 | O | N |
| Sat 10/1 | Ohio at Kent State | +13.0L24–31 | 65.5 | L24–31 | U | Y |
| Sat 10/8 | Ohio vs Akron | -10.0W55–34 | 58.5 | W55–34 | O | Y |
| Sat 10/15 | Ohio at Western Michigan | +2.0W33–14 | 61.5 | W33–14 | U | Y |
| Sat 10/22 | Ohio vs Northern Illinois | +2.5W24–17 | 65.5 | W24–17 | U | Y |
| — Bye Week — | ||||||
| Tue 11/1 | Ohio vs Buffalo | +2.5W45–24 | 61.0 | W45–24 | O | Y |
| Tue 11/8 | Ohio at Miami (OH) | -2.5W37–21 | 52.0 | W37–21 | O | Y |
| Tue 11/15 | Ohio at Ball State | -3.5W32–18 | 57.5 | W32–18 | U | Y |
| Tue 11/22 | Ohio vs Bowling Green | -5.5W38–14 | 52.5 | W38–14 | U | Y |
| Sat 12/3 | Ohio vs Toledo | +3.5L7–17 | 54.5 | L7–17 | U | N |
| Fri 12/30 | Ohio vs Wyoming | -3.0W30–27 | 43.0 | W30–27 | 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 |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2022 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Ohio
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Ohio
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Ohio
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
PPA Passing
Pass efficiency edge · Strong predictor
Havoc Total
Def. disruption rate · Strong predictor
TFLs, sacks, PBUs, forced fumbles — higher is better
Points Per Opp
Drive-finishing edge · Strong predictor
Success Rate
Play consistency edge · Solid predictor
Field Position
Avg start (lower=better) · Solid predictor
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Advanced stats sourced from CFBD · 2022 season ·
Edges are matchup-adjusted (offense vs opponent defense)
Power Ratings
Team Power Ratings
Overall · Offense · Defense ratings · Updated as season progresses
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Ohio Edge
Ohio +0.33
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 3 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Kent State Edge
Kent State +3.4
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 4 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
CSS and GC disagree on this matchup. When the metrics split, historical cover rates are essentially random — treat this as a coin flip against the spread.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Ohio
Tim Albin #1
3–9 (25%)
· Yr 2 at school
OC
Scott Isphording
Yr 1
#1
DC
Spence Nowinsky
Yr 1
#1
Kent State
Sean Lewis #1
19–24 (44%)
· Yr 5 at school
OC
Andrew Sowder
Yr 2
#1
DC
Jeremiah Johnson
Yr 1
#1
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 ✓