Sat, Sep 24 2022
·
Week 4
·
🏟 Acrisure Stadium
Pittsburgh, PA
·
Turf
·
68,400 cap
Rhode Island✈ 448 miSame TZ
Preseason projection — This game has not yet been played and 2022 in-season data is not yet available.
Edges are based on 2021 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
50.6%
Pittsburgh wins
Toss-up
Vegas Spread
Pittsburgh -32.5
O/U 55.0
consensus
Rhode Island 2022 Schedule
Rhode Island's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/24 | Rhode Island at Pittsburgh | +32.5L24–45 | 55.0 | L24–45 | O | Y |
Pittsburgh 2022 Schedule
Pittsburgh's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 9/1 | Pittsburgh vs West Virginia | -7.5W38–31 | 50.0 | W38–31 | O | N |
| Sat 9/10 | Pittsburgh vs Tennessee | +6.0L27–34 | 63.0 | L27–34 | U | N |
| Sat 9/17 | Pittsburgh at Western Michigan | -10.0W34–13 | 46.0 | W34–13 | O | Y |
| Sat 9/24 | Pittsburgh vs Rhode Island | -32.5W45–24 | 55.0 | W45–24 | O | N |
| Sat 10/1 | Pittsburgh vs Georgia Tech | -21.5L21–26 | 47.0 | L21–26 | U | N |
| Sat 10/8 | Pittsburgh vs Virginia Tech | -14.5W45–29 | 42.0 | W45–29 | O | Y |
| — Bye Week — | ||||||
| Sat 10/22 | Pittsburgh at Louisville | +1.5L10–24 | 55.0 | L10–24 | U | N |
| Sat 10/29 | Pittsburgh at North Carolina | +2.5L24–42 | 65.5 | L24–42 | O | N |
| Sat 11/5 | Pittsburgh vs Syracuse | -3.5W19–9 | 47.5 | W19–9 | U | Y |
| Sat 11/12 | Pittsburgh at Virginia | -5.5W37–7 | 41.5 | W37–7 | O | Y |
| Sat 11/19 | Pittsburgh vs Duke | -6.5W28–26 | 49.0 | W28–26 | O | N |
| Sat 11/26 | Pittsburgh at Miami | -5.5W42–16 | 43.0 | W42–16 | O | Y |
| Fri 12/30 | Pittsburgh vs UCLA | +9.0W37–35 | 55.0 | W37–35 | O | Y |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Rhode Island Edge
Rhode Island +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2021 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Pittsburgh Edge
Pittsburgh +3.3
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 2021 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: CSS is not a predictive 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: GS is not a predictive 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: CSS is not a predictive 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: GS is not a predictive 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 ✓