Sat, Oct 28 2023
·
Week 9
·
🏟 Camp Randall Stadium
Madison, WI
·
Turf
·
80,321 cap
Ohio State✈ 392 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
75.9%
Ohio State wins
Solid
Vegas Spread
Ohio State -14.5
O/U 48.0
William Hill (New Jersey)
Advanced Stats
PPA + Success Rate agree → Ohio State
· 73.9% ATS historically
↓ See full breakdown
Ohio State 2023 Schedule
Ohio State's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Ohio State at Indiana | -30.0W23–3 | 59.0 | W23–3 | U | N |
| Sat 9/9 | Ohio State vs Youngstown State | -45.5W35–7 | 56.0 | W35–7 | U | N |
| Sat 9/16 | Ohio State vs Western Kentucky | -29.5W63–10 | 65.0 | W63–10 | O | Y |
| Sat 9/23 | Ohio State at Notre Dame | -3.0W17–14 | 55.5 | W17–14 | U | N |
| — Bye Week — | ||||||
| Sat 10/7 | Ohio State vs Maryland | -17.0W37–17 | 56.5 | W37–17 | U | Y |
| Sat 10/14 | Ohio State at Purdue | -17.5W41–7 | 53.0 | W41–7 | U | Y |
| Sat 10/21 | Ohio State vs Penn State | -4.0W20–12 | 47.0 | W20–12 | U | Y |
| Sat 10/28 | Ohio State at Wisconsin | -14.5W24–10 | 48.0 | W24–10 | U | N |
| Sat 11/4 | Ohio State at Rutgers | -19.0W35–16 | 42.5 | W35–16 | O | N |
| Sat 11/11 | Ohio State vs Michigan State | -30.5W38–3 | 48.5 | W38–3 | U | Y |
| Sat 11/18 | Ohio State vs Minnesota | -27.5W37–3 | 51.5 | W37–3 | U | Y |
| Sat 11/25 | Ohio State at Michigan | +3.0L24–30 | 47.0 | L24–30 | O | N |
| Fri 12/29 | Ohio State vs Missouri | -4.0L3–14 | 51.0 | L3–14 | U | N |
Wisconsin 2023 Schedule
Wisconsin's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Wisconsin vs Buffalo | -29.0W38–17 | 52.5 | W38–17 | O | N |
| Sat 9/9 | Wisconsin at Washington State | -5.0L22–31 | 58.0 | L22–31 | U | N |
| Sat 9/16 | Wisconsin vs Georgia Southern | -20.5W35–14 | 65.5 | W35–14 | U | Y |
| Fri 9/22 | Wisconsin at Purdue | -5.5W38–17 | 54.0 | W38–17 | O | Y |
| — Bye Week — | ||||||
| Sat 10/7 | Wisconsin vs Rutgers | -12.5W24–13 | 44.0 | W24–13 | U | N |
| Sat 10/14 | Wisconsin vs Iowa | -8.0L6–15 | 33.5 | L6–15 | U | N |
| Sat 10/21 | Wisconsin at Illinois | -3.0W25–21 | 40.5 | W25–21 | O | Y |
| Sat 10/28 | Wisconsin vs Ohio State | +14.5L10–24 | 48.0 | L10–24 | U | Y |
| Sat 11/4 | Wisconsin at Indiana | -9.5L14–20 | 45.0 | L14–20 | U | N |
| Sat 11/11 | Wisconsin vs Northwestern | -9.5L10–24 | 43.5 | L10–24 | U | N |
| Sat 11/18 | Wisconsin vs Nebraska | -7.5W24–17 | 36.5 | W24–17 | O | N |
| Sat 11/25 | Wisconsin at Minnesota | -1.5W28–14 | 42.0 | W28–14 | U | Y |
| Mon 1/1 | Wisconsin vs LSU | +9.5L31–35 | 59.5 | L31–35 | O | Y |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2023 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
Split
Metrics disagree
Elite · 82.4% ATS
PPA + PPO + Havoc
Split
Metrics disagree
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 · 2023 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 +0.57
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 7 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Ohio State Edge
Ohio State +21.2
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 7 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Ohio State 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
Ohio State
Ryan Day #1
48–6 (89%)
· Yr 5 at school
OC
Brian Hartline
Yr 1
#1
DC
Jim Knowles
Yr 2
#1
Wisconsin
Luke Fickell #1
2–1 (67%)
· Yr 1 at school
OC
Phil Longo
Yr 1
#1
DC
Colin Hitschler
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 ✓