Sat, Sep 16 2023
·
Week 3
·
🏟 McLane Stadium
Waco, TX
·
Turf
·
45,140 cap
Long Island University✈ 1,453 mi-1 hr TZ
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%
Baylor wins
Strong
Vegas Spread
Baylor -44
O/U 54.0
William Hill (New Jersey)
Long Island University 2023 Schedule
Long Island University's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Long Island University at Ohio | +34.5L10–27 | 58.0 | L10–27 | U | Y |
| — Bye Week — | ||||||
| Sat 9/16 | Long Island University at Baylor | +44.0L7–30 | 54.0 | L7–30 | U | Y |
Baylor 2023 Schedule
Baylor's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Baylor vs Texas State | -26.5L31–42 | 58.5 | L31–42 | O | N |
| Sat 9/9 | Baylor vs Utah | +7.0L13–20 | 46.5 | L13–20 | U | Y |
| Sat 9/16 | Baylor vs Long Island University | -44.0W30–7 | 54.0 | W30–7 | U | N |
| Sat 9/23 | Baylor vs Texas | +17.5L6–38 | 49.5 | L6–38 | U | N |
| Sat 9/30 | Baylor at UCF | +8.0W36–35 | 56.5 | W36–35 | O | Y |
| Sat 10/7 | Baylor vs Texas Tech | +2.5L14–39 | 59.5 | L14–39 | U | N |
| — Bye Week — | ||||||
| Sat 10/21 | Baylor at Cincinnati | +2.5W32–29 | 51.5 | W32–29 | O | Y |
| Sat 10/28 | Baylor vs Iowa State | +3.0L18–30 | 47.0 | L18–30 | O | N |
| Sat 11/4 | Baylor vs Houston | -3.0L24–25 | 58.5 | L24–25 | U | N |
| Sat 11/11 | Baylor at Kansas State | +20.5L25–59 | 55.5 | L25–59 | O | N |
| Sat 11/18 | Baylor at TCU | +13.0L17–42 | 62.0 | L17–42 | U | N |
| Sat 11/25 | Baylor vs West Virginia | +6.5L31–34 | 53.5 | L31–34 | O | 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 2022 full season · preseason estimate
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Baylor Edge
Baylor +51.0
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: CSS is not a predictive 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: GS is not a predictive 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: CSS is not a predictive 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: GS is not a predictive 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 ✓