Sat, Oct 30 2021
·
Week 9
·
🏟 Acrisure Stadium
Pittsburgh, PA
·
Turf
·
68,400 cap
Miami✈ 1,001 miSame TZ
Matchup Prediction
Pittsburgh
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Pittsburgh entering this game.
Momentum Control
71.6%
Pittsburgh wins
Solid
Game Control
76%
Pittsburgh wins
Strong
Vegas Spread
Pittsburgh -9.5
O/U 61.0
teamrankings
Advanced Stats
All 4 factors agree → Pittsburgh
· 83.1% ATS historically when all four align
↓ See full breakdown
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 |
Pittsburgh 2021 Schedule
Pittsburgh's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/4 | Pittsburgh vs Massachusetts | -38.0W51–7 | 56.0 | W51–7 | O | Y |
| Sat 9/11 | Pittsburgh at Tennessee | -3.5W41–34 | 56.0 | W41–34 | O | Y |
| Sat 9/18 | Pittsburgh vs Western Michigan | -14.0L41–44 | 59.0 | L41–44 | O | N |
| Sat 9/25 | Pittsburgh vs New Hampshire | -29.0W77–7 | 53.0 | W77–7 | O | Y |
| Sat 10/2 | Pittsburgh at Georgia Tech | -3.0W52–21 | 57.5 | W52–21 | O | Y |
| — Bye Week — | ||||||
| Sat 10/16 | Pittsburgh at Virginia Tech | -6.0W28–7 | 55.5 | W28–7 | U | Y |
| Sat 10/23 | Pittsburgh vs Clemson | -3.5W27–17 | 47.0 | W27–17 | U | Y |
| Sat 10/30 | Pittsburgh vs Miami | -9.5L34–38 | 61.0 | L34–38 | O | N |
| Sat 11/6 | Pittsburgh at Duke | -21.0W54–29 | 64.5 | W54–29 | O | Y |
| Thu 11/11 | Pittsburgh vs North Carolina | -6.5W30–23 | 72.0 | W30–23 | U | Y |
| Sat 11/20 | Pittsburgh vs Virginia | -12.5W48–38 | 69.0 | W48–38 | O | N |
| Sat 11/27 | Pittsburgh at Syracuse | -12.0W31–14 | 58.5 | W31–14 | U | Y |
| Sat 12/4 | Pittsburgh vs Wake Forest | -3.5W45–21 | 72.5 | W45–21 | U | Y |
| Thu 12/30 | Pittsburgh vs Michigan State | +3.5L21–31 | 55.0 | L21–31 | U | N |
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
All 4 Agree
→ Pittsburgh
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Pittsburgh
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Pittsburgh
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?
Pittsburgh Edge
Pittsburgh +1.33
CSS Edge (season-to-date)
Teams with this edge win 71.6% of games historically
Based on 6 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Pittsburgh Edge
Pittsburgh +39.6
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 7 games this season
Actual Result
CSS Battle
Pittsburgh
2 — 1 sequences
✓ Predicted correctly
GC Battle
Miami
22.4 — 49.9 GC score
✗ Predicted incorrectly
Game Result
Miami won by 4
✗ Model missed it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Pittsburgh with a large edge. Historically, dominant teams like this are fully priced into the spread — the agreed-upon team covers just 50.2% of the time. The metrics predict game control better than they beat the number.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Miami
Manny Diaz #1
15–12 (56%)
· Yr 3 at school
OC
Rhett Lashlee
Yr 1
#1
DC
Manny Diaz
Yr 1
#1
Pittsburgh
Pat Narduzzi #1
44–35 (56%)
· Yr 7 at school
OC
Mark Whipple
Yr 1
#1
DC
Randy Bates
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 ✓