Sat, Oct 11 2025
·
Week 7
·
🏟 Memorial Stadium
Champaign, IL
·
Turf
·
60,670 cap
Ohio State✈ 275 mi-1 hr TZ
Matchup Prediction
Ohio State
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Ohio State entering this game.
Momentum Control
61.3%
Ohio State wins
Lean
Game Control
64.9%
Ohio State wins
Lean
Vegas Spread
Ohio State -15.5
O/U 51.5
ESPN Bet
Advanced Stats
All 4 factors agree → Ohio State
· 83.1% ATS historically when all four align
↓ See full breakdown
Ohio State 2025 Schedule
Ohio State's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Ohio State vs Texas | -1.5W14–7 | 46.5 | W14–7 | U | Y |
| Sat 9/6 | Ohio State vs Grambling | -55.5W70–0 | 62.5 | W70–0 | O | Y |
| Sat 9/13 | Ohio State vs Ohio | -28.0W37–9 | 49.0 | W37–9 | U | N |
| — Bye Week — | ||||||
| Sat 9/27 | Ohio State at Washington | -9.5W24–6 | 52.5 | W24–6 | U | Y |
| Sat 10/4 | Ohio State vs Minnesota | -23.5W42–3 | 42.5 | W42–3 | O | Y |
| Sat 10/11 | Ohio State at Illinois | -15.5W34–16 | 51.5 | W34–16 | U | Y |
| Sat 10/18 | Ohio State at Wisconsin | -24.5W34–0 | 41.5 | W34–0 | U | Y |
| — Bye Week — | ||||||
| Sat 11/1 | Ohio State vs Penn State | -17.5W38–14 | 45.5 | W38–14 | O | Y |
| Sat 11/8 | Ohio State at Purdue | -29.5W34–10 | 49.5 | W34–10 | U | N |
| Sat 11/15 | Ohio State vs UCLA | -33.5W48–10 | 46.5 | W48–10 | O | Y |
| Sat 11/22 | Ohio State vs Rutgers | -29.0W42–9 | 54.0 | W42–9 | U | Y |
| Sat 11/29 | Ohio State at Michigan | -9.5W27–9 | 43.5 | W27–9 | U | Y |
| Sat 12/6 | Ohio State vs Indiana | -5.5L10–13 | 48.5 | L10–13 | U | N |
| Wed 12/31 | Ohio State vs Miami | -7.5L14–24 | 39.5 | L14–24 | U | N |
Illinois 2025 Schedule
Illinois's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Fri 8/29 | Illinois vs Western Illinois | -48.5W52–3 | 62.5 | W52–3 | U | Y |
| Sat 9/6 | Illinois at Duke | -2.5W45–19 | 49.0 | W45–19 | O | Y |
| Sat 9/13 | Illinois vs Western Michigan | -27.5W38–0 | 50.5 | W38–0 | U | Y |
| Sat 9/20 | Illinois at Indiana | +7.0L10–63 | 51.5 | L10–63 | O | N |
| Sat 9/27 | Illinois vs USC | +6.5W34–32 | 62.5 | W34–32 | O | Y |
| Sat 10/4 | Illinois at Purdue | -7.5W43–27 | 55.5 | W43–27 | O | Y |
| Sat 10/11 | Illinois vs Ohio State | +15.5L16–34 | 51.5 | L16–34 | U | N |
| — Bye Week — | ||||||
| Sat 10/25 | Illinois at Washington | +3.5L25–42 | 54.5 | L25–42 | O | N |
| Sat 11/1 | Illinois vs Rutgers | -13.5W35–13 | 63.5 | W35–13 | U | Y |
| — Bye Week — | ||||||
| Sat 11/15 | Illinois vs Maryland | -15.5W24–6 | 51.5 | W24–6 | U | Y |
| Sat 11/22 | Illinois at Wisconsin | -8.5L10–27 | 42.5 | L10–27 | U | N |
| Sat 11/29 | Illinois vs Northwestern | -7.0W20–13 | 44.5 | W20–13 | U | N |
| Tue 12/30 | Illinois vs Tennessee | +3.0W30–28 | 62.5 | W30–28 | U | Y |
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
→ Ohio State
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Ohio State
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Ohio State
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?
Ohio State Edge
Ohio State +0.70
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 5 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Ohio State Edge
Ohio State +11.7
GC Edge (season-to-date)
Teams with this edge win 64.9% of games historically
Based on 6 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Ohio State. Teams with this edge profile have covered 50.3% historically — essentially a coin flip against the spread.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Ohio State
Ryan Day #1
66–10 (87%)
· Yr 7 at school
OC
Brian Hartline
Yr 2
#1
DC
Matt Patricia
Yr 1
#1
Illinois
Bret Bielema #1
27–22 (55%)
· Yr 5 at school
OC
Barry Lunney Jr.
Yr 3
#1
DC
Aaron Henry
Yr 3
#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 ✓