Matchup Prediction
Virginia
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Virginia entering this game.
Momentum Control
73.7%
Virginia wins
Solid
Game Control
58.3%
Virginia wins
Lean
Vegas Spread
Miami -3.5
O/U 63.5
teamrankings
Advanced Stats
Advanced factors are split · No strong agreement signal
↓ See full breakdown
Virginia 2021 Schedule
Virginia's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/4 | Virginia vs William & Mary | -30.5W43–0 | 52.5 | W43–0 | U | Y |
| Sat 9/11 | Virginia vs Illinois | -10.5W42–14 | 57.0 | W42–14 | U | Y |
| Sat 9/18 | Virginia at North Carolina | +7.5L39–59 | 67.0 | L39–59 | O | N |
| Fri 9/24 | Virginia vs Wake Forest | -3.5L17–37 | 71.0 | L17–37 | U | N |
| Thu 9/30 | Virginia at Miami | +3.5W30–28 | 63.5 | W30–28 | U | Y |
| Sat 10/9 | Virginia at Louisville | +2.5W34–33 | 69.5 | W34–33 | U | Y |
| Sat 10/16 | Virginia vs Duke | -10.5W48–0 | 69.5 | W48–0 | U | Y |
| Sat 10/23 | Virginia vs Georgia Tech | -6.5W48–40 | 66.0 | W48–40 | O | Y |
| Sat 10/30 | Virginia at BYU | +2.5L49–66 | 66.5 | L49–66 | O | N |
| — Bye Week — | ||||||
| Sat 11/13 | Virginia vs Notre Dame | +7.5L3–28 | 62.5 | L3–28 | U | N |
| Sat 11/20 | Virginia at Pittsburgh | +12.5L38–48 | 69.0 | L38–48 | O | Y |
| Sat 11/27 | Virginia vs Virginia Tech | -7.0L24–29 | 63.5 | L24–29 | U | N |
| Wed 12/29 | Virginia vs SMU | -2.5 | 71.0 | — | — | — |
Miami 2021 Schedule
Miami's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/4 | Miami vs Alabama | +19.5L13–44 | 61.5 | L13–44 | U | N |
| Sat 9/11 | Miami vs App State | -7.5W25–23 | 55.0 | W25–23 | U | N |
| Sat 9/18 | Miami vs Michigan State | -7.0L17–38 | 57.5 | L17–38 | U | N |
| Sat 9/25 | Miami vs Central Connecticut | -46.0W69–0 | 55.5 | W69–0 | O | Y |
| Thu 9/30 | Miami vs Virginia | -3.5L28–30 | 63.5 | L28–30 | U | N |
| — Bye Week — | ||||||
| Sat 10/16 | Miami at North Carolina | +7.5L42–45 | 63.5 | L42–45 | O | Y |
| Sat 10/23 | Miami vs NC State | +3.5W31–30 | 54.5 | W31–30 | O | Y |
| Sat 10/30 | Miami at Pittsburgh | +9.5W38–34 | 61.0 | W38–34 | O | Y |
| Sat 11/6 | Miami vs Georgia Tech | -10.0W33–30 | 63.0 | W33–30 | U | N |
| Sat 11/13 | Miami at Florida State | -2.5L28–31 | 61.5 | L28–31 | U | N |
| Sat 11/20 | Miami vs Virginia Tech | -7.0W38–26 | 55.5 | W38–26 | O | Y |
| Sat 11/27 | Miami at Duke | -20.5W47–10 | 67.0 | W47–10 | U | Y |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2021 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
Split
Metrics disagree
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 · 2021 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?
Virginia Edge
Virginia +1.00
CSS Edge (season-to-date)
Teams with this edge win 73.7% of games historically
Based on 3 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Virginia Edge
Virginia +4.3
GC Edge (season-to-date)
Teams with this edge win 58.3% of games historically
Based on 4 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Virginia, 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
Virginia
Bronco Mendenhall #1
32–33 (49%)
· Yr 6 at school
OC
Robert Anae
Yr 1
#1
DC
Kelly Poppinga
Yr 1
#1
Miami
Manny Diaz #1
15–12 (56%)
· Yr 3 at school
OC
Rhett Lashlee
Yr 1
#1
DC
Manny Diaz
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: 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 ✓