Sat, Sep 9 2023
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Week 2
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🏟 Ohio Stadium
Columbus, OH
·
Turf
·
104,944 cap
Youngstown State✈ 146 miSame TZ
Preseason projection — This game has not yet been played and 2023 in-season data is not yet available.
Edges are based on 2022 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
76%
Ohio State wins
Strong
Vegas Spread
Ohio State -45.5
O/U 56.0
William Hill (New Jersey)
Youngstown State 2023 Schedule
Youngstown State's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/9 | Youngstown State at Ohio State | +45.5L7–35 | 56.0 | L7–35 | U | Y |
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 |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Youngstown State Edge
Youngstown State +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2022 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Ohio State Edge
Ohio State +81.4
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 2022 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 ✓