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%
Marshall wins
Strong
Vegas Spread
Marshall -22
O/U 47.5
William Hill (New Jersey)
UAlbany 2023 Schedule
UAlbany's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | UAlbany at Marshall | +22.0L17–21 | 47.5 | L17–21 | U | Y |
| Sat 9/9 | UAlbany at Hawai'i | +10.5L20–31 | 58.5 | L20–31 | U | N |
Marshall 2023 Schedule
Marshall's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Marshall vs UAlbany | -22.0W21–17 | 47.5 | W21–17 | U | N |
| Sat 9/9 | Marshall at East Carolina | -3.0W31–13 | 43.5 | W31–13 | O | Y |
| — Bye Week — | ||||||
| Sat 9/23 | Marshall vs Virginia Tech | -5.5W24–17 | 41.5 | W24–17 | U | Y |
| Sat 9/30 | Marshall vs Old Dominion | -14.5W41–35 | 47.0 | W41–35 | O | N |
| Sat 10/7 | Marshall at NC State | +6.5L41–48 | 44.0 | L41–48 | O | N |
| Sat 10/14 | Marshall at Georgia State | +2.0L24–41 | 53.5 | L24–41 | O | N |
| Thu 10/19 | Marshall vs James Madison | +5.0L9–20 | 49.0 | L9–20 | U | N |
| Sat 10/28 | Marshall at Coastal Carolina | -3.5L6–34 | 47.0 | L6–34 | U | N |
| Sat 11/4 | Marshall at App State | +3.0L9–31 | 57.5 | L9–31 | U | N |
| Sat 11/11 | Marshall vs Georgia Southern | +1.5W38–33 | 56.5 | W38–33 | O | Y |
| Sat 11/18 | Marshall at South Alabama | +10.5L0–28 | 44.5 | L0–28 | U | N |
| Sat 11/25 | Marshall vs Arkansas State | -2.0W35–21 | 54.0 | W35–21 | O | Y |
| Tue 12/19 | Marshall vs UTSA | +7.0L17–35 | 47.0 | L17–35 | O | N |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
UAlbany Edge
UAlbany +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?
Marshall Edge
Marshall +58.9
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 ✓