Sat, Aug 31 2024
·
Week 1
·
🏟 Romney Stadium
Logan, UT
·
Turf
·
25,513 cap
Robert Morris✈ 1,637 mi-2 hr TZ
Preseason projection — This game has not yet been played and 2024 in-season data is not yet available.
Edges are based on 2023 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%
Utah State wins
Strong
Robert Morris 2024 Schedule
Robert Morris's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Robert Morris at Utah State | -2.5 | — | — | — | — |
Utah State 2024 Schedule
Utah State's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Utah State vs Robert Morris | -18.5 | — | — | — | — |
| Sat 9/7 | Utah State at USC | +30.5L0–48 | 62.5 | L0–48 | U | N |
| Sat 9/14 | Utah State vs Utah | +20.5L21–38 | 43.5 | L21–38 | O | Y |
| Sat 9/21 | Utah State at Temple | -6.5L29–45 | 53.5 | L29–45 | O | N |
| — Bye Week — | ||||||
| Sat 10/5 | Utah State at Boise State | +28.0L30–62 | 66.5 | L30–62 | O | N |
| Fri 10/11 | Utah State vs UNLV | +19.0L34–50 | 67.5 | L34–50 | O | Y |
| Sat 10/19 | Utah State vs New Mexico | +1.0L45–50 | 78.5 | L45–50 | O | N |
| Sat 10/26 | Utah State at Wyoming | -2.5W27–25 | 57.0 | W27–25 | U | N |
| — Bye Week — | ||||||
| Sat 11/9 | Utah State at Washington State | +20.5L28–49 | 69.0 | L28–49 | O | N |
| Sat 11/16 | Utah State vs Hawai'i | +2.5W55–10 | 62.0 | W55–10 | O | Y |
| Sat 11/23 | Utah State vs San Diego State | -5.0W41–20 | 60.0 | W41–20 | O | Y |
| Fri 11/29 | Utah State at Colorado State | +5.5L37–42 | 56.5 | L37–42 | O | Y |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Robert Morris Edge
Robert Morris +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 2023 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Utah State Edge
Utah State +28.5
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 2023 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 ✓