Sat, Sep 16 2023
·
Week 3
·
🏟 Rice Stadium
Houston, TX
·
Turf
·
47,000 cap
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%
Rice wins
Strong
Vegas Spread
Rice -35.5
O/U 60.0
William Hill (New Jersey)
Texas Southern 2023 Schedule
Texas Southern's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/9 | Texas Southern at Toledo | +40.5L3–71 | 61.0 | L3–71 | O | N |
| Sat 9/16 | Texas Southern at Rice | +35.5L7–59 | 60.0 | L7–59 | O | N |
Rice 2023 Schedule
Rice's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Rice at Texas | +35.5L10–37 | 59.0 | L10–37 | U | Y |
| Sat 9/9 | Rice vs Houston | +7.5W43–41 | 51.0 | W43–41 | O | Y |
| Sat 9/16 | Rice vs Texas Southern | -35.5W59–7 | 60.0 | W59–7 | O | Y |
| Sat 9/23 | Rice at South Florida | -2.5L29–42 | 56.5 | L29–42 | O | N |
| Sat 9/30 | Rice vs East Carolina | -3.5W24–17 | 47.0 | W24–17 | U | Y |
| Sat 10/7 | Rice vs UConn | -10.0L31–38 | 47.5 | L31–38 | O | N |
| — Bye Week — | ||||||
| Thu 10/19 | Rice at Tulsa | +3.0W42–10 | 56.5 | W42–10 | U | Y |
| Sat 10/28 | Rice vs Tulane | +10.0L28–30 | 55.0 | L28–30 | O | Y |
| Sat 11/4 | Rice vs SMU | +12.0L31–36 | 59.5 | L31–36 | O | Y |
| Sat 11/11 | Rice at UTSA | +13.5L14–34 | 53.5 | L14–34 | U | N |
| Sat 11/18 | Rice at Charlotte | +0.5W28–7 | 46.5 | W28–7 | U | Y |
| Sat 11/25 | Rice vs Florida Atlantic | -5.0W24–21 | 46.5 | W24–21 | U | N |
| Tue 12/26 | Rice vs Texas State | +3.5L21–45 | 58.5 | L21–45 | O | N |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Texas Southern Edge
Texas Southern +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?
Rice Edge
Rice +26.6
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: 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 ✓