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
Bryant
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Bryant entering this game.
Momentum Control
73.7%
Bryant wins
Solid
Game Control
64.9%
Bryant wins
Lean
Vegas Spread
UNLV -16.5
O/U 66.0
William Hill (New Jersey)
Bryant 2023 Schedule
Bryant's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Bryant at UNLV | +16.5L14–44 | 66.0 | L14–44 | U | N |
UNLV 2023 Schedule
UNLV's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | UNLV vs Bryant | -16.5W44–14 | 66.0 | W44–14 | U | Y |
| Sat 9/9 | UNLV at Michigan | +38.0L7–35 | 57.5 | L7–35 | U | Y |
| Sat 9/16 | UNLV vs Vanderbilt | +4.5W40–37 | 56.5 | W40–37 | O | Y |
| Sat 9/23 | UNLV at UTEP | +1.0W45–28 | 49.5 | W45–28 | O | Y |
| Sat 9/30 | UNLV vs Hawai'i | -10.5W44–20 | 58.5 | W44–20 | O | Y |
| — Bye Week — | ||||||
| Sat 10/14 | UNLV at Nevada | -7.5W45–27 | 51.5 | W45–27 | O | Y |
| Sat 10/21 | UNLV vs Colorado State | -6.5W25–23 | 60.0 | W25–23 | U | N |
| Sat 10/28 | UNLV at Fresno State | +10.5L24–31 | 56.0 | L24–31 | U | Y |
| Sat 11/4 | UNLV at New Mexico | -10.0W56–14 | 61.0 | W56–14 | O | Y |
| Fri 11/10 | UNLV vs Wyoming | -2.5W34–14 | 48.5 | W34–14 | U | Y |
| Sat 11/18 | UNLV at Air Force | +2.5W31–27 | 46.5 | W31–27 | O | Y |
| Sat 11/25 | UNLV vs San José State | -3.5L31–37 | 58.5 | L31–37 | O | N |
| Sat 12/2 | UNLV vs Boise State | +2.5L20–44 | 58.0 | L20–44 | O | N |
| Tue 12/26 | UNLV vs Kansas | +8.0L36–49 | 64.5 | L36–49 | O | N |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Bryant Edge
Bryant +1.18
CSS Edge (season-to-date)
Teams with this edge win 73.7% of games historically
Based on 2022 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Bryant Edge
Bryant +13.6
GC Edge (season-to-date)
Teams with this edge win 64.9% 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 ✓