Sat, Oct 21 2023
·
Week 8
·
🏟 Peden Stadium
Athens, OH
·
Turf
·
24,000 cap
Western Michigan✈ 274 miSame TZ
Matchup Prediction
Ohio
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Ohio entering this game.
Momentum Control
58.4%
Ohio wins
Lean
Game Control
67.1%
Ohio wins
Solid
Vegas Spread
Ohio -16.5
O/U 52.0
William Hill (New Jersey)
Advanced Stats
All 4 factors agree → Ohio
· 83.1% ATS historically when all four align
↓ See full breakdown
Western Michigan 2023 Schedule
Western Michigan's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/31 | Western Michigan vs St. Francis (PA) | -14.0W35–17 | 58.0 | W35–17 | U | Y |
| Sat 9/9 | Western Michigan at Syracuse | +24.5L7–48 | 56.5 | L7–48 | U | N |
| Sat 9/16 | Western Michigan at Iowa | +28.5L10–41 | 43.5 | L10–41 | O | N |
| Sat 9/23 | Western Michigan at Toledo | +21.5L31–49 | 52.5 | L31–49 | O | Y |
| Sat 9/30 | Western Michigan vs Ball State | -1.5W42–24 | 50.0 | W42–24 | O | Y |
| Sat 10/7 | Western Michigan at Mississippi State | +21.5L28–41 | 54.5 | L28–41 | O | Y |
| Sat 10/14 | Western Michigan vs Miami (OH) | +7.5L21–34 | 46.0 | L21–34 | O | N |
| Sat 10/21 | Western Michigan at Ohio | +16.5L17–20 | 52.0 | L17–20 | U | Y |
| Sat 10/28 | Western Michigan at Eastern Michigan | -3.0W45–21 | 50.0 | W45–21 | O | Y |
| — Bye Week — | ||||||
| Tue 11/7 | Western Michigan vs Central Michigan | -3.5W38–28 | 57.5 | W38–28 | O | Y |
| Tue 11/14 | Western Michigan at Northern Illinois | +4.5L0–24 | 55.5 | L0–24 | U | N |
| Tue 11/21 | Western Michigan vs Bowling Green | +2.0L10–34 | 54.5 | L10–34 | U | N |
Ohio 2023 Schedule
Ohio's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/26 | Ohio at San Diego State | +2.0L13–20 | 48.5 | L13–20 | U | N |
| Sat 9/2 | Ohio vs Long Island University | -34.5W27–10 | 58.0 | W27–10 | U | N |
| Sat 9/9 | Ohio at Florida Atlantic | +3.5W17–10 | 61.5 | W17–10 | U | Y |
| Sat 9/16 | Ohio vs Iowa State | +1.5W10–7 | 42.0 | W10–7 | U | Y |
| Sat 9/23 | Ohio at Bowling Green | -13.0W38–7 | 45.0 | W38–7 | U | Y |
| — Bye Week — | ||||||
| Sat 10/7 | Ohio vs Kent State | -24.5W42–17 | 45.5 | W42–17 | O | Y |
| Sat 10/14 | Ohio at Northern Illinois | -5.5L13–23 | 45.0 | L13–23 | U | N |
| Sat 10/21 | Ohio vs Western Michigan | -16.5W20–17 | 52.0 | W20–17 | U | N |
| Sat 10/28 | Ohio vs Miami (OH) | -7.5L16–30 | 39.0 | L16–30 | O | N |
| — Bye Week — | ||||||
| Tue 11/7 | Ohio at Buffalo | -9.5W20–10 | 45.5 | W20–10 | U | Y |
| Wed 11/15 | Ohio vs Central Michigan | -11.5W34–20 | 48.5 | W34–20 | O | Y |
| Fri 11/24 | Ohio at Akron | -13.5W25–14 | 41.5 | W25–14 | U | N |
| Sat 12/16 | Ohio vs Georgia Southern | +1.5W41–21 | 48.5 | W41–21 | 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
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 · 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 Edge
Ohio +0.67
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 6 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Ohio Edge
Ohio +17.3
GC Edge (season-to-date)
Teams with this edge win 67.1% 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 with a solid GC edge. Teams with this profile have covered 53.0% of the time historically (n=330) — a mild lean.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Western Michigan
Lance Taylor #1
1–2 (33%)
· Yr 1 at school
OC
Billy Cosh
Yr 1
#1
DC
Lou Esposito
Yr 3
#1
Ohio
Tim Albin #1
16–14 (53%)
· Yr 3 at school
OC
Scott Isphording
Yr 2
#1
DC
Spence Nowinsky
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: 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 ✓