Thu, Oct 24 2024
·
Week 9
·
🏟 Acrisure Stadium
Pittsburgh, PA
·
Turf
·
68,400 cap
Syracuse✈ 268 miSame TZ
Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors Pittsburgh,
while Game Control favors Syracuse.
Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
58.4%
Pittsburgh wins
Lean
Game Control
49.4%
Syracuse wins
Toss-up
Vegas Spread
Pittsburgh -5.0
O/U 62.5
Bovada
Advanced Stats
3 factors agree (PPA + PPO + Havoc) → Pittsburgh
· 82.4% ATS historically
↓ See full breakdown
Syracuse 2024 Schedule
Syracuse's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Syracuse vs Ohio | -17.5W38–22 | 47.5 | W38–22 | O | N |
| Sat 9/7 | Syracuse vs Georgia Tech | +2.5W31–28 | 60.5 | W31–28 | U | Y |
| — Bye Week — | ||||||
| Fri 9/20 | Syracuse vs Stanford | -9.5L24–26 | 56.5 | L24–26 | U | N |
| Sat 9/28 | Syracuse vs Holy Cross | -31.5W42–14 | 59.5 | W42–14 | U | N |
| Fri 10/4 | Syracuse at UNLV | +5.5W44–41 | 55.5 | W44–41 | O | Y |
| Sat 10/12 | Syracuse at NC State | -1.0W24–17 | 51.5 | W24–17 | U | Y |
| — Bye Week — | ||||||
| Thu 10/24 | Syracuse at Pittsburgh | +5.0L13–41 | 62.5 | L13–41 | U | N |
| Sat 11/2 | Syracuse vs Virginia Tech | +3.5W38–31 | 54.0 | W38–31 | O | Y |
| Sat 11/9 | Syracuse at Boston College | +5.5L31–37 | 51.5 | L31–37 | O | N |
| Sat 11/16 | Syracuse at California | +10.5W33–25 | 58.0 | W33–25 | U | Y |
| Sat 11/23 | Syracuse vs UConn | -10.0W31–24 | 53.0 | W31–24 | O | N |
| Sat 11/30 | Syracuse vs Miami | +12.5W42–38 | 65.5 | W42–38 | O | Y |
| Fri 12/27 | Syracuse vs Washington State | -19.0W52–35 | 58.5 | W52–35 | O | N |
Pittsburgh 2024 Schedule
Pittsburgh's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Pittsburgh vs Kent State | -23.5W55–24 | 55.5 | W55–24 | O | Y |
| Sat 9/7 | Pittsburgh at Cincinnati | -2.5W28–27 | 62.5 | W28–27 | U | N |
| Sat 9/14 | Pittsburgh vs West Virginia | +2.5W38–34 | 60.5 | W38–34 | O | Y |
| Sat 9/21 | Pittsburgh vs Youngstown State | -29.5W73–17 | 59.5 | W73–17 | O | Y |
| — Bye Week — | ||||||
| Sat 10/5 | Pittsburgh at North Carolina | -2.5W34–24 | 63.0 | W34–24 | U | Y |
| Sat 10/12 | Pittsburgh vs California | -3.5W17–15 | 57.5 | W17–15 | U | N |
| — Bye Week — | ||||||
| Thu 10/24 | Pittsburgh vs Syracuse | -5.0W41–13 | 62.5 | W41–13 | U | Y |
| Sat 11/2 | Pittsburgh at SMU | +7.0L25–48 | 55.5 | L25–48 | O | N |
| Sat 11/9 | Pittsburgh vs Virginia | -7.5L19–24 | 56.5 | L19–24 | U | N |
| Sat 11/16 | Pittsburgh vs Clemson | +12.0L20–24 | 52.0 | L20–24 | U | Y |
| Sat 11/23 | Pittsburgh at Louisville | +7.0L9–37 | 57.0 | L9–37 | U | N |
| Sat 11/30 | Pittsburgh at Boston College | +3.5L23–34 | 50.5 | L23–34 | O | N |
| Thu 12/26 | Pittsburgh vs Toledo | -6.5L46–48 | 48.5 | L46–48 | O | N |
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
3 Agree
→ Pittsburgh
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 · 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?
Pittsburgh Edge
Pittsburgh +0.80
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 5 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Syracuse Edge
Syracuse +2.2
GC Edge (season-to-date)
Teams with this edge win 49.4% of games historically
Based on 6 games this season
Actual Result
CSS Battle
Pittsburgh
1 — 0 sequences
✓ Predicted correctly
GC Battle
Pittsburgh
93.8 — 3.1 GC score
✗ Predicted incorrectly
Game Result
Pittsburgh won by 28
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
CSS and GC disagree on this matchup. When the metrics split, historical cover rates are essentially random — treat this as a coin flip against the spread.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Syracuse
Fran Brown #1
0–0 (0%)
· Yr 1 at school
OC
Mike Johnson
Yr 1
#1
DC
Elijah Robinson
Yr 1
#1
Pittsburgh
Pat Narduzzi #1
65–50 (57%)
· Yr 10 at school
OC
Kade Bell
Yr 1
#1
DC
Randy Bates
Yr 3
#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 ✓

