Thu, Aug 31 2023
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Week 1
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🏟 Georgia State Stadium
Atlanta, GA
·
Turf
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24,333 cap
Rhode Island✈ 882 miSame TZ
Preseason projection — This game has not yet been played and 2023 in-season data is not yet available.
Edges are based on 2022 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%
Georgia State wins
Strong
Vegas Spread
Georgia State -18
O/U 61.5
William Hill (New Jersey)
Rhode Island 2023 Schedule
Rhode Island's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/31 | Rhode Island at Georgia State | +18.0L35–42 | 61.5 | L35–42 | O | Y |
Georgia State 2023 Schedule
Georgia State's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 8/31 | Georgia State vs Rhode Island | -18.0W42–35 | 61.5 | W42–35 | O | N |
| Sat 9/9 | Georgia State vs UConn | -3.0W35–14 | 54.5 | W35–14 | U | Y |
| Sat 9/16 | Georgia State at Charlotte | -6.5W41–25 | 52.0 | W41–25 | O | Y |
| Thu 9/21 | Georgia State at Coastal Carolina | +4.5W30–17 | 62.5 | W30–17 | U | Y |
| Sat 9/30 | Georgia State vs Troy | -1.0L7–28 | 50.5 | L7–28 | U | N |
| — Bye Week — | ||||||
| Sat 10/14 | Georgia State vs Marshall | -2.0W41–24 | 53.5 | W41–24 | O | Y |
| Sat 10/21 | Georgia State at Louisiana | +3.0W20–17 | 62.0 | W20–17 | U | Y |
| Thu 10/26 | Georgia State at Georgia Southern | -1.0L27–44 | 63.0 | L27–44 | O | N |
| Sat 11/4 | Georgia State vs James Madison | +6.0L14–42 | 53.0 | L14–42 | O | N |
| Sat 11/11 | Georgia State vs App State | -2.5L14–42 | 62.5 | L14–42 | U | N |
| Sat 11/18 | Georgia State at LSU | +32.5L14–56 | 73.5 | L14–56 | U | N |
| Sat 11/25 | Georgia State at Old Dominion | +2.0L24–25 | 49.5 | L24–25 | U | Y |
| Sat 12/23 | Georgia State vs Utah State | +2.0W45–22 | 58.0 | W45–22 | 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 2022 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Georgia State Edge
Georgia State +45.0
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 2022 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 ✓