Wed, Dec 31 2025
·
Postseason
·
Neutral Site
·
🏟 AT&T Stadium
Arlington, TX
·
Turf
·
100,000 cap
Miami✈ 1,116 mi-1 hr TZ
Ohio State✈ 927 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
58.4%
Ohio State wins
Lean
Game Control
58.6%
Ohio State wins
Lean
Vegas Spread
Ohio State -7.5
O/U 39.5
Draft Kings
Advanced Stats
PPA + Success Rate agree → Ohio State
· 73.9% ATS historically
↓ See full breakdown
Miami 2025 Schedule
Miami's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sun 8/31 | Miami vs Notre Dame | +2.5W27–24 | 53.5 | W27–24 | U | Y |
| Sat 9/6 | Miami vs Bethune-Cookman | -54.5W45–3 | 0.0 | W45–3 | O | N |
| Sat 9/13 | Miami vs South Florida | -17.5W49–12 | 56.5 | W49–12 | O | Y |
| Sat 9/20 | Miami vs Florida | -8.5W26–7 | 51.5 | W26–7 | U | Y |
| — Bye Week — | ||||||
| Sat 10/4 | Miami at Florida State | -3.5W28–22 | 54.5 | W28–22 | U | Y |
| — Bye Week — | ||||||
| Fri 10/17 | Miami vs Louisville | -10.5L21–24 | 49.5 | L21–24 | U | N |
| Sat 10/25 | Miami vs Stanford | -28.5W42–7 | 45.5 | W42–7 | O | Y |
| Sat 11/1 | Miami at SMU | -8.5L20–26 | 50.5 | L20–26 | U | N |
| Sat 11/8 | Miami vs Syracuse | -28.5W38–10 | 47.5 | W38–10 | O | N |
| Sat 11/15 | Miami vs NC State | -16.5W41–7 | 54.5 | W41–7 | U | Y |
| Sat 11/22 | Miami at Virginia Tech | -18.5W34–17 | 49.0 | W34–17 | O | N |
| Sat 11/29 | Miami at Pittsburgh | -6.5W38–7 | 49.5 | W38–7 | U | Y |
| Sat 12/20 | Miami at Texas A&M | +3.0W10–3 | 48.5 | W10–3 | U | Y |
| Wed 12/31 | Miami vs Ohio State | +7.5W24–14 | 39.5 | W24–14 | U | Y |
| Thu 1/8 | Miami vs Ole Miss | -3.0W31–27 | 52.5 | W31–27 | O | Y |
| Mon 1/19 | Miami vs Indiana | +7.5L21–27 | 46.5 | L21–27 | O | Y |
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 |
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
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 · 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 +0.92
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 12 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Ohio State Edge
Ohio State +10.1
GC Edge (season-to-date)
Teams with this edge win 58.6% of games historically
Based on 13 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
Miami
Mario Cristobal #1
22–15 (60%)
· Yr 4 at school
OC
Shannon Dawson
Yr 3
#1
DC
Corey Hetherman
Yr 1
#1
Ohio State
Ryan Day #1
66–10 (87%)
· Yr 7 at school
OC
Brian Hartline
Yr 2
#1
DC
Matt Patricia
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 ✓