Sat, Aug 30 2025
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Week 1
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🏟 Acrisure Stadium
Pittsburgh, PA
·
Turf
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68,400 cap
Preseason projection — This game has not yet been played and 2025 in-season data is not yet available.
Edges are based on 2024 full-season performance.
Confidence will increase once in-season games are logged.
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
76%
Pittsburgh wins
Strong
Vegas Spread
Pittsburgh -39.5
O/U 58.5
ESPN Bet
Duquesne 2025 Schedule
Duquesne's 2025 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/30 | Duquesne at Pittsburgh | +39.5L9–61 | 58.5 | L9–61 | O | N |
| — Bye Week — | ||||||
| Sat 9/20 | Duquesne at Akron | +10.5L7–51 | 51.0 | L7–51 | O | N |
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 |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Duquesne Edge
Duquesne +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2024 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Pittsburgh Edge
Pittsburgh +35.7
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 2024 full season · preseason estimate
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 ✓