Sat, Sep 21 2024
·
Week 4
·
🏟 Alamodome
San Antonio, TX
·
Turf
·
65,000 cap
Houston Christian✈ 179 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%
UTSA wins
Strong
Vegas Spread
UTSA -35.5
O/U 54.5
DraftKings
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 |
UTSA 2024 Schedule
UTSA's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | UTSA vs Kennesaw State | -24.0W28–16 | 49.5 | W28–16 | U | N |
| Sat 9/7 | UTSA at Texas State | +2.5L10–49 | 58.5 | L10–49 | O | N |
| Sat 9/14 | UTSA at Texas | +36.5L7–56 | 56.5 | L7–56 | O | N |
| Sat 9/21 | UTSA vs Houston Christian | -35.5W45–7 | 54.5 | W45–7 | U | Y |
| Sat 9/28 | UTSA at East Carolina | +2.0L20–30 | 53.5 | L20–30 | U | N |
| — Bye Week — | ||||||
| Sat 10/12 | UTSA at Rice | -3.5L27–29 | 51.0 | L27–29 | O | N |
| Sat 10/19 | UTSA vs Florida Atlantic | -4.0W38–24 | 52.5 | W38–24 | O | Y |
| Sat 10/26 | UTSA at Tulsa | -9.5L45–46 | 52.5 | L45–46 | O | N |
| Sat 11/2 | UTSA vs Memphis | +7.0W44–36 | 62.0 | W44–36 | O | Y |
| — Bye Week — | ||||||
| Fri 11/15 | UTSA vs North Texas | -1.0W48–27 | 73.0 | W48–27 | O | Y |
| Fri 11/22 | UTSA vs Temple | -16.5W51–27 | 56.0 | W51–27 | O | Y |
| Sat 11/30 | UTSA at Army | +6.5L24–29 | 53.5 | L24–29 | U | Y |
| Mon 12/23 | UTSA vs Coastal Carolina | -12.5W44–15 | 56.5 | W44–15 | O | Y |
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?
UTSA Edge
UTSA +48.5
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 ✓