Sun, Sep 1 2024
·
Week 1
·
🏟 Joe Aillet Stadium
Ruston, LA
·
Turf
·
28,019 cap
Nicholls✈ 219 miSame 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%
Louisiana Tech wins
Strong
Nicholls 2024 Schedule
Nicholls's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Nicholls at Louisiana Tech | -3.5 | — | — | — | — |
| Sat 9/7 | Nicholls at LSU | +50.5L21–44 | 62.0 | L21–44 | O | Y |
Louisiana Tech 2024 Schedule
Louisiana Tech's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Louisiana Tech vs Nicholls | -17.5 | — | — | — | — |
| — Bye Week — | ||||||
| Sat 9/14 | Louisiana Tech at NC State | +20.5L20–30 | 47.5 | L20–30 | O | Y |
| Sat 9/21 | Louisiana Tech vs Tulsa | -3.0L20–23 | 56.5 | L20–23 | U | N |
| Sat 9/28 | Louisiana Tech vs Florida International | -2.0L10–17 | 49.0 | L10–17 | U | N |
| — Bye Week — | ||||||
| Thu 10/10 | Louisiana Tech vs Middle Tennessee | -5.0W48–21 | 48.0 | W48–21 | O | Y |
| Tue 10/15 | Louisiana Tech at New Mexico State | -12.5L30–33 | 49.0 | L30–33 | O | N |
| Tue 10/22 | Louisiana Tech vs UTEP | -6.5W14–10 | 49.0 | W14–10 | U | N |
| Tue 10/29 | Louisiana Tech at Sam Houston | +10.5L3–9 | 45.5 | L3–9 | U | Y |
| Sat 11/9 | Louisiana Tech vs Jacksonville State | +10.0L37–44 | 55.5 | L37–44 | O | Y |
| Sat 11/16 | Louisiana Tech at Western Kentucky | +11.5W12–7 | 52.5 | W12–7 | U | Y |
| Sat 11/23 | Louisiana Tech at Arkansas | +23.5L14–35 | 48.5 | L14–35 | O | Y |
| Sat 11/30 | Louisiana Tech vs Kennesaw State | -13.5W33–0 | 41.5 | W33–0 | U | Y |
| Sat 12/28 | Louisiana Tech vs Army | +15.0L6–27 | 44.5 | L6–27 | U | 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 2023 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Louisiana Tech Edge
Louisiana Tech +20.9
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 ✓