Sat, Oct 3 2026
·
Week 5
·
🏟 Yager Stadium
Oxford, OH
·
Turf
·
24,286 cap
Bowling Green✈ 141 miSame TZ
Preseason projection — This game has not yet been played and 2026 in-season data is not yet available.
Edges are based on 2025 full-season performance.
Confidence will increase once in-season games are logged.
Matchup Prediction
Miami (OH)
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Miami (OH) entering this game.
Momentum Control
58.4%
Miami (OH) wins
Lean
Game Control
58.6%
Miami (OH) wins
Lean
Advanced Stats
PPA + Success Rate agree → Miami (OH)
· 73.9% ATS historically
↓ See full breakdown
Bowling Green 2026 Schedule
Bowling Green's 2026 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/5 | Bowling Green vs Tarleton State | -12.5 | — | — | — | — |
| Sat 9/12 | Bowling Green at Nebraska | +19 | — | — | — | — |
| Sat 9/19 | Bowling Green at Iowa State | +20.5 | — | — | — | — |
| Sat 9/26 | Bowling Green vs South Florida | +15.5 | — | — | — | — |
| Sat 10/3 | Bowling Green at Miami (OH) | +12.5 | — | — | — | — |
| Sat 10/10 | Bowling Green vs Sacramento State | +3.5 | — | — | — | — |
| Sat 10/17 | Bowling Green vs Ball State | -13.5 | — | — | — | — |
| Sat 10/24 | Bowling Green at Buffalo | +4.5 | — | — | — | — |
| Sat 10/31 | Bowling Green at Western Michigan | +10.5 | — | — | — | — |
| — Bye Week — | ||||||
| Tue 11/10 | Bowling Green vs Kent State | -9.5 | — | — | — | — |
| Wed 11/18 | Bowling Green at Toledo | +17.5 | — | — | — | — |
| Sat 11/28 | Bowling Green vs Massachusetts | -23.5 | — | — | — | — |
Miami (OH) 2026 Schedule
Miami (OH)'s 2026 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/5 | Miami (OH) at Pittsburgh | +12.5 | — | — | — | — |
| Sat 9/12 | Miami (OH) vs Holy Cross | -22 | — | — | — | — |
| Sat 9/19 | Miami (OH) at Cincinnati | +5.5 | — | — | — | — |
| Sat 9/26 | Miami (OH) vs UConn | -0 | — | — | — | — |
| Sat 10/3 | Miami (OH) vs Bowling Green | -12.5 | — | — | — | — |
| Sat 10/10 | Miami (OH) at Massachusetts | -28 | — | — | — | — |
| Sat 10/17 | Miami (OH) vs Akron | -14 | — | — | — | — |
| Sat 10/24 | Miami (OH) at Central Michigan | -3 | — | — | — | — |
| — Bye Week — | ||||||
| Tue 11/3 | Miami (OH) vs Buffalo | -10.5 | — | — | — | — |
| Tue 11/10 | Miami (OH) vs Ohio | -8.5 | — | — | — | — |
| Tue 11/17 | Miami (OH) at Kent State | -14 | — | — | — | — |
| Tue 11/24 | Miami (OH) at Western Michigan | +0.5 | — | — | — | — |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2025 season (prior year)
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
→ Miami (OH)
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 (prior year — 2026 data not yet available) ·
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?
Miami (OH) Edge
Miami (OH) +0.27
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2025 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Miami (OH) Edge
Miami (OH) +7.8
GC Edge (season-to-date)
Teams with this edge win 58.6% of games historically
Based on 2025 full season · preseason estimate
Coaching Matchup
Bowling Green
Eddie George #111
4–8 (33%)
· Yr 2 at school
OC
Greg Nosal
Yr 3
#127
DC
Brandon Fisher
Yr 1
#68
Miami (OH)
Chuck Martin #31
72–74 (49%)
· Yr 13 at school
OC
Gus Ragland
Yr 1
#67
DC
Bill Brechin
Yr 3
#8
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 ✓