Sun, Sep 8 2024
·
Week 2
·
🏟 Amon G. Carter Stadium
Fort Worth, TX
·
Turf
·
45,000 cap
Long Island University✈ 1,424 mi-1 hr 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%
TCU wins
Strong
Vegas Spread
TCU -45.5
O/U 56.5
ESPN Bet
Long Island University 2024 Schedule
Long Island University's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/7 | Long Island University at TCU | +45.5L0–45 | 56.5 | L0–45 | U | Y |
TCU 2024 Schedule
TCU's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Fri 8/30 | TCU at Stanford | -8.0W34–27 | 58.5 | W34–27 | O | N |
| Sat 9/7 | TCU vs Long Island University | -45.5W45–0 | 56.5 | W45–0 | U | N |
| Sat 9/14 | TCU vs UCF | -1.5L34–35 | 61.5 | L34–35 | O | N |
| Sat 9/21 | TCU at SMU | -1.0L42–66 | 58.5 | L42–66 | O | N |
| Sat 9/28 | TCU vs Kansas | +1.5W38–27 | 58.5 | W38–27 | O | Y |
| Fri 10/4 | TCU vs Houston | -16.5L19–30 | 52.0 | L19–30 | U | N |
| — Bye Week — | ||||||
| Sat 10/19 | TCU at Utah | +3.0W13–7 | 52.0 | W13–7 | U | Y |
| Sat 10/26 | TCU vs Texas Tech | -5.0W35–34 | 66.0 | W35–34 | O | N |
| Sat 11/2 | TCU at Baylor | +2.5L34–37 | 64.0 | L34–37 | O | N |
| Sat 11/9 | TCU vs Oklahoma State | -10.5W38–13 | 68.5 | W38–13 | U | Y |
| — Bye Week — | ||||||
| Sat 11/23 | TCU vs Arizona | -10.5W49–28 | 60.0 | W49–28 | O | Y |
| Sat 11/30 | TCU at Cincinnati | -2.5W20–13 | 58.5 | W20–13 | U | Y |
| Sat 12/28 | TCU vs Louisiana | -9.5W34–3 | 61.0 | W34–3 | U | Y |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Long Island University Edge
Long Island University +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?
TCU Edge
TCU +37.9
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 ✓