Sat, Oct 18 2025
·
Week 8
·
🏟 Carrier Dome
Syracuse, NY
·
Turf
·
49,250 cap
Pittsburgh✈ 268 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
80.6%
Pittsburgh wins
Strong
Game Control
75.9%
Pittsburgh wins
Solid
Vegas Spread
Pittsburgh -9.5
O/U 54.5
DraftKings
Advanced Stats
All 4 factors agree → Pittsburgh
· 83.1% ATS historically when all four align
↓ See full breakdown
Pittsburgh 2025 Schedule
Pittsburgh's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Pittsburgh vs Duquesne | -39.5W61–9 | 58.5 | W61–9 | O | Y |
| Sat 9/6 | Pittsburgh vs Central Michigan | -21.5W45–17 | 48.5 | W45–17 | O | Y |
| Sat 9/13 | Pittsburgh at West Virginia | -6.5L24–31 | 54.5 | L24–31 | O | N |
| — Bye Week — | ||||||
| Sat 9/27 | Pittsburgh vs Louisville | +3.0L27–34 | 53.5 | L27–34 | O | N |
| Sat 10/4 | Pittsburgh vs Boston College | -6.5W48–7 | 54.5 | W48–7 | O | Y |
| Sat 10/11 | Pittsburgh at Florida State | +10.5W34–31 | 56.5 | W34–31 | O | Y |
| Sat 10/18 | Pittsburgh at Syracuse | -9.5W30–13 | 54.5 | W30–13 | U | Y |
| Sat 10/25 | Pittsburgh vs NC State | -5.5W53–34 | 52.5 | W53–34 | O | Y |
| Sat 11/1 | Pittsburgh at Stanford | -13.5W35–20 | 51.5 | W35–20 | O | Y |
| — Bye Week — | ||||||
| Sat 11/15 | Pittsburgh vs Notre Dame | +12.5L15–37 | 55.5 | L15–37 | U | N |
| Sat 11/22 | Pittsburgh at Georgia Tech | +2.5W42–28 | 61.5 | W42–28 | O | Y |
| Sat 11/29 | Pittsburgh vs Miami | +6.5L7–38 | 49.5 | L7–38 | U | N |
| Sat 12/27 | Pittsburgh vs East Carolina | -13.5L17–23 | 51.5 | L17–23 | U | N |
Syracuse 2025 Schedule
Syracuse's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Syracuse vs Tennessee | +13.5L26–45 | 53.5 | L26–45 | O | N |
| Sat 9/6 | Syracuse vs UConn | -7.0W27–20 | 57.5 | W27–20 | U | N |
| Fri 9/12 | Syracuse vs Colgate | -37.5W66–24 | 64.5 | W66–24 | O | Y |
| Sat 9/20 | Syracuse at Clemson | +17.5W34–21 | 53.5 | W34–21 | O | Y |
| Sat 9/27 | Syracuse vs Duke | +4.0L3–38 | 59.5 | L3–38 | U | N |
| Sat 10/4 | Syracuse at SMU | +17.5L18–31 | 56.5 | L18–31 | U | Y |
| — Bye Week — | ||||||
| Sat 10/18 | Syracuse vs Pittsburgh | +9.5L13–30 | 54.5 | L13–30 | U | N |
| Sat 10/25 | Syracuse at Georgia Tech | +17.5L16–41 | 52.5 | L16–41 | O | N |
| Fri 10/31 | Syracuse vs North Carolina | -1.5L10–27 | 45.5 | L10–27 | U | N |
| Sat 11/8 | Syracuse at Miami | +28.5L10–38 | 47.5 | L10–38 | O | Y |
| — Bye Week — | ||||||
| Sat 11/22 | Syracuse at Notre Dame | +36.5L7–70 | 51.5 | L7–70 | O | N |
| Sat 11/29 | Syracuse vs Boston College | +2.5L12–34 | 54.5 | L12–34 | 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
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 · 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?
Pittsburgh Edge
Pittsburgh +2.40
CSS Edge (season-to-date)
Teams with this edge win 80.6% of games historically
Based on 5 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Pittsburgh Edge
Pittsburgh +32.8
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 6 games this season
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
Pittsburgh
Pat Narduzzi #1
72–55 (57%)
· Yr 11 at school
OC
Kade Bell
Yr 2
#1
DC
Randy Bates
Yr 3
#1
Syracuse
Fran Brown #1
9–3 (75%)
· Yr 2 at school
OC
Jeff Nixon
Yr 1
#1
DC
Elijah Robinson
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 ✓