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%
Tulane wins
Strong
Vegas Spread
Tulane -38
O/U 55.5
William Hill (New Jersey)
Nicholls 2023 Schedule
Nicholls's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/9 | Nicholls at TCU | +41.5L6–41 | 59.5 | L6–41 | U | Y |
| — Bye Week — | ||||||
| Sat 9/23 | Nicholls at Tulane | +38.0L7–36 | 55.5 | L7–36 | U | Y |
Tulane 2023 Schedule
Tulane's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Tulane vs South Alabama | -6.0W37–17 | 51.0 | W37–17 | O | Y |
| Sat 9/9 | Tulane vs Ole Miss | +8.0L20–37 | 64.0 | L20–37 | U | N |
| Sat 9/16 | Tulane at Southern Miss | -8.0W21–3 | 47.5 | W21–3 | U | Y |
| Sat 9/23 | Tulane vs Nicholls | -38.0W36–7 | 55.5 | W36–7 | U | N |
| Sat 9/30 | Tulane vs UAB | -22.5W35–23 | 59.5 | W35–23 | U | N |
| — Bye Week — | ||||||
| Fri 10/13 | Tulane at Memphis | -4.5W31–21 | 54.5 | W31–21 | U | Y |
| Sat 10/21 | Tulane vs North Texas | -20.0W35–28 | 63.5 | W35–28 | U | N |
| Sat 10/28 | Tulane at Rice | -10.0W30–28 | 55.0 | W30–28 | O | N |
| Sat 11/4 | Tulane at East Carolina | -17.0W13–10 | 46.0 | W13–10 | U | N |
| Sat 11/11 | Tulane vs Tulsa | -24.5W24–22 | 52.5 | W24–22 | U | N |
| Sat 11/18 | Tulane at Florida Atlantic | -9.5W24–8 | 46.5 | W24–8 | U | Y |
| Fri 11/24 | Tulane vs UTSA | -2.5W29–16 | 51.5 | W29–16 | U | Y |
| Sat 12/2 | Tulane vs SMU | -4.0L14–26 | 50.5 | L14–26 | U | N |
| Wed 12/27 | Tulane vs Virginia Tech | +13.5L20–41 | 43.5 | L20–41 | O | N |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Nicholls Edge
Nicholls +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?
Tulane Edge
Tulane +54.9
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 ✓