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
50.6%
—
Toss-up
Vegas Spread
Miami -2.5
O/U 54.5
DraftKings
Advanced Stats
PPA + Success Rate agree → Miami
· 73.9% ATS historically
↓ See full breakdown
Miami 2024 Schedule
Miami's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Miami at Florida | -2.5W41–17 | 54.5 | W41–17 | O | Y |
| Sat 9/7 | Miami vs Florida A&M | -46.5W56–9 | 55.5 | W56–9 | O | Y |
| Sat 9/14 | Miami vs Ball State | -36.5W62–0 | 55.5 | W62–0 | O | Y |
| Sat 9/21 | Miami at South Florida | -17.0W50–15 | 64.5 | W50–15 | O | Y |
| Fri 9/27 | Miami vs Virginia Tech | -17.5W38–34 | 55.5 | W38–34 | O | N |
| Sat 10/5 | Miami at California | -10.0W39–38 | 54.0 | W39–38 | O | N |
| — Bye Week — | ||||||
| Sat 10/19 | Miami at Louisville | -4.5W52–45 | 61.5 | W52–45 | O | Y |
| Sat 10/26 | Miami vs Florida State | -22.5W36–14 | 55.0 | W36–14 | U | N |
| Sat 11/2 | Miami vs Duke | -21.0W53–31 | 55.5 | W53–31 | O | Y |
| Sat 11/9 | Miami at Georgia Tech | -9.5L23–28 | 64.5 | L23–28 | U | N |
| — Bye Week — | ||||||
| Sat 11/23 | Miami vs Wake Forest | -23.5W42–14 | 67.0 | W42–14 | U | Y |
| Sat 11/30 | Miami at Syracuse | -12.5L38–42 | 65.5 | L38–42 | O | N |
| Sat 12/28 | Miami vs Iowa State | -5.0L41–42 | 62.0 | L41–42 | O | N |
Florida 2024 Schedule
Florida's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Florida vs Miami | +2.5L17–41 | 54.5 | L17–41 | O | N |
| Sat 9/7 | Florida vs Samford | -38.5W45–7 | 55.5 | W45–7 | U | N |
| Sat 9/14 | Florida vs Texas A&M | +4.5L20–33 | 47.0 | L20–33 | O | N |
| Sat 9/21 | Florida at Mississippi State | -6.5W45–28 | 58.0 | W45–28 | O | Y |
| — Bye Week — | ||||||
| Sat 10/5 | Florida vs UCF | +1.0W24–13 | 62.0 | W24–13 | U | Y |
| Sat 10/12 | Florida at Tennessee | +13.5L17–23 | 54.5 | L17–23 | U | Y |
| Sat 10/19 | Florida vs Kentucky | +2.5W48–20 | 42.5 | W48–20 | O | Y |
| — Bye Week — | ||||||
| Sat 11/2 | Florida vs Georgia | +14.5L20–34 | 52.5 | L20–34 | O | Y |
| Sat 11/9 | Florida at Texas | +24.5L17–49 | 48.5 | L17–49 | O | N |
| Sat 11/16 | Florida vs LSU | +3.0W27–16 | 57.0 | W27–16 | U | Y |
| Sat 11/23 | Florida vs Ole Miss | +13.0W24–17 | 57.5 | W24–17 | U | Y |
| Sat 11/30 | Florida at Florida State | -17.5W31–11 | 45.5 | W31–11 | U | Y |
| Fri 12/20 | Florida vs Tulane | -10.0W33–8 | 50.5 | W33–8 | U | Y |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2024 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
→ Miami
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 · 2024 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?
Miami Edge
Miami +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 0 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Miami Edge
Miami +0.0
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 0 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Florida, but the GC edge is small. When metrics agree but GC is near-neutral, the agreed-upon team has covered only 46.7% of the time historically (n=224) — potentially a fade signal.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Miami
Mario Cristobal #1
12–13 (48%)
· Yr 3 at school
OC
Shannon Dawson
Yr 2
#1
DC
Lance Guidry
Yr 2
#1
Florida
Billy Napier #1
11–14 (44%)
· Yr 3 at school
OC
Rob Sale
Yr 3
#1
DC
Austin Armstrong
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: 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 ✓