Sun, Sep 1 2024
·
Week 1
·
🏟 Gerald J. Ford Stadium
University Park, TX
·
Turf
·
32,000 cap
Houston Christian✈ 229 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%
SMU wins
Strong
Houston Christian 2024 Schedule
Houston Christian's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Houston Christian at SMU | +11.5 | — | — | — | — |
| — Bye Week — | ||||||
| Sat 9/21 | Houston Christian at UTSA | +35.5L7–45 | 54.5 | L7–45 | U | N |
SMU 2024 Schedule
SMU's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/24 | SMU at Nevada | -28.0W29–24 | 55.5 | W29–24 | U | N |
| Sat 8/31 | SMU vs Houston Christian | -30 | — | — | — | — |
| Fri 9/6 | SMU vs BYU | -12.5L15–18 | 55.5 | L15–18 | U | N |
| — Bye Week — | ||||||
| Sat 9/21 | SMU vs TCU | +1.0W66–42 | 58.5 | W66–42 | O | Y |
| Sat 9/28 | SMU vs Florida State | -6.0W42–16 | 46.0 | W42–16 | O | Y |
| Sat 10/5 | SMU at Louisville | +6.5W34–27 | 55.0 | W34–27 | O | Y |
| — Bye Week — | ||||||
| Sat 10/19 | SMU at Stanford | -16.5W40–10 | 52.5 | W40–10 | U | Y |
| Sat 10/26 | SMU at Duke | -11.5W28–27 | 49.5 | W28–27 | O | N |
| Sat 11/2 | SMU vs Pittsburgh | -7.0W48–25 | 55.5 | W48–25 | O | Y |
| — Bye Week — | ||||||
| Sat 11/16 | SMU vs Boston College | -19.0W38–28 | 54.5 | W38–28 | O | N |
| Sat 11/23 | SMU at Virginia | -11.5W33–7 | 54.5 | W33–7 | U | Y |
| Sat 11/30 | SMU vs California | -11.5W38–6 | 54.5 | W38–6 | U | Y |
| Sat 12/7 | SMU vs Clemson | -2.5L31–34 | 56.5 | L31–34 | O | N |
| Sat 12/21 | SMU at Penn State | +9.0L10–38 | 52.5 | L10–38 | U | N |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Houston Christian Edge
Houston Christian +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?
SMU Edge
SMU +63.1
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 ✓