Sun, Sep 17 2023
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Week 3
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🏟 Jim Wacker Field at Bobcat Stadium
San Marcos, TX
·
Turf
·
30,000 cap
Jackson State✈ 488 miSame 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%
Texas State wins
Strong
Vegas Spread
Texas State -17.5
O/U 61.5
William Hill (New Jersey)
Jackson State 2023 Schedule
Jackson State's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/16 | Jackson State at Texas State | +17.5L34–77 | 61.5 | L34–77 | O | N |
Texas State 2023 Schedule
Texas State's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/2 | Texas State at Baylor | +26.5W42–31 | 58.5 | W42–31 | O | Y |
| Sat 9/9 | Texas State at UTSA | +13.5L13–20 | 66.5 | L13–20 | U | Y |
| Sat 9/16 | Texas State vs Jackson State | -17.5W77–34 | 61.5 | W77–34 | O | Y |
| Sat 9/23 | Texas State vs Nevada | -17.0W35–24 | 60.0 | W35–24 | U | N |
| Sat 9/30 | Texas State at Southern Miss | -6.5W50–36 | 60.0 | W50–36 | O | Y |
| Sat 10/7 | Texas State at Louisiana | +1.0L30–34 | 67.5 | L30–34 | U | N |
| Sat 10/14 | Texas State vs UL Monroe | -18.5W21–20 | 64.5 | W21–20 | U | N |
| — Bye Week — | ||||||
| Sat 10/28 | Texas State vs Troy | +6.5L13–31 | 53.0 | L13–31 | U | N |
| Sat 11/4 | Texas State vs Georgia Southern | +2.0W45–24 | 69.0 | W45–24 | U | Y |
| Sat 11/11 | Texas State at Coastal Carolina | -2.5L23–31 | 55.5 | L23–31 | U | N |
| Sat 11/18 | Texas State at Arkansas State | -3.5L31–77 | 59.5 | L31–77 | O | N |
| Sat 11/25 | Texas State vs South Alabama | +6.5W52–44 | 57.0 | W52–44 | O | Y |
| Tue 12/26 | Texas State vs Rice | -3.5W45–21 | 58.5 | W45–21 | O | Y |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Jackson State Edge
Jackson State +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?
Texas State Edge
Texas State +33.9
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 ✓