Sat, Oct 4 2025
·
Week 6
·
🏟 Gaylord Family Oklahoma Memorial Stadium
Norman, OK
·
Turf
·
84,389 cap
Kent State✈ 965 mi-1 hr TZ
Matchup Prediction
Oklahoma
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Oklahoma entering this game.
Momentum Control
58.4%
Oklahoma wins
Lean
Game Control
76%
Oklahoma wins
Strong
Vegas Spread
Oklahoma -46.5
O/U 53.5
DraftKings
Advanced Stats
All 4 factors agree → Oklahoma
· 83.1% ATS historically when all four align
↓ See full breakdown
Kent State 2025 Schedule
Kent State's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Kent State vs Merrimack | -5.5W21–17 | 50.5 | W21–17 | U | N |
| Sat 9/6 | Kent State at Texas Tech | +48.5L14–62 | 60.0 | L14–62 | O | Y |
| Sat 9/13 | Kent State vs Buffalo | +23.5L28–31 | 48.5 | L28–31 | O | Y |
| Sat 9/20 | Kent State at Florida State | +44.5L10–66 | 56.5 | L10–66 | O | N |
| — Bye Week — | ||||||
| Sat 10/4 | Kent State at Oklahoma | +46.5L0–44 | 53.5 | L0–44 | U | Y |
| Sat 10/11 | Kent State vs Massachusetts | -1.5W42–6 | 49.5 | W42–6 | U | Y |
| Sat 10/18 | Kent State at Toledo | +25.5L10–45 | 48.5 | L10–45 | O | N |
| Sat 10/25 | Kent State vs Bowling Green | +7.5W24–21 | 47.5 | W24–21 | U | Y |
| — Bye Week — | ||||||
| Wed 11/5 | Kent State at Ball State | +3.0L13–17 | 48.5 | L13–17 | U | N |
| Tue 11/11 | Kent State at Akron | +7.5W42–35 | 49.5 | W42–35 | O | Y |
| Wed 11/19 | Kent State vs Central Michigan | +7.5L16–28 | 50.5 | L16–28 | U | N |
| Fri 11/28 | Kent State at Northern Illinois | +5.0W35–31 | 45.0 | W35–31 | O | Y |
Oklahoma 2025 Schedule
Oklahoma's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Oklahoma vs Illinois State | -39.5W35–3 | 61.0 | W35–3 | U | N |
| Sat 9/6 | Oklahoma vs Michigan | -3.0W24–13 | 47.5 | W24–13 | U | Y |
| Sat 9/13 | Oklahoma at Temple | -23.5W42–3 | 50.5 | W42–3 | U | Y |
| Sat 9/20 | Oklahoma vs Auburn | -6.5W24–17 | 47.5 | W24–17 | U | Y |
| — Bye Week — | ||||||
| Sat 10/4 | Oklahoma vs Kent State | -46.5W44–0 | 53.5 | W44–0 | U | N |
| Sat 10/11 | Oklahoma vs Texas | +2.5L6–23 | 44.5 | L6–23 | U | N |
| Sat 10/18 | Oklahoma at South Carolina | -4.5W26–7 | 42.5 | W26–7 | U | Y |
| Sat 10/25 | Oklahoma vs Ole Miss | -5.5L26–34 | 52.5 | L26–34 | O | N |
| Sat 11/1 | Oklahoma at Tennessee | +3.0W33–27 | 55.5 | W33–27 | O | Y |
| — Bye Week — | ||||||
| Sat 11/15 | Oklahoma at Alabama | +6.5W23–21 | 45.5 | W23–21 | U | Y |
| Sat 11/22 | Oklahoma vs Missouri | -4.5W17–6 | 42.5 | W17–6 | U | Y |
| Sat 11/29 | Oklahoma vs LSU | -11.5W17–13 | 36.5 | W17–13 | U | N |
| Fri 12/19 | Oklahoma vs Alabama | -1.5L24–34 | 42.0 | L24–34 | O | N |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2025 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Oklahoma
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Oklahoma
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Oklahoma
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 · 2025 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?
Oklahoma Edge
Oklahoma +0.67
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 3 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Oklahoma Edge
Oklahoma +50.0
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 4 games this season
Actual Result
CSS Battle
Oklahoma
5 — 0 sequences
✓ Predicted correctly
GC Battle
Oklahoma
93.0 — 3.1 GC score
✓ Predicted correctly
Game Result
Oklahoma won by 44
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Oklahoma with a large edge. Historically, dominant teams like this are fully priced into the spread — the agreed-upon team covers just 50.2% of the time. The metrics predict game control better than they beat the number.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Kent State
Kenni Burns #1
1–23 (4%)
· Yr 3 at school
OC
Mark Carney
Yr 2
#1
DC
Kody Morgan
Yr 1
#1
Oklahoma
Brent Venables #1
22–16 (58%)
· Yr 4 at school
OC
Ben Arbuckle
Yr 1
#1
DC
Zac Alley
Yr 2
#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: 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 ✓