Sat, Sep 7 2024
·
Week 2
·
🏟 Apogee Stadium
Denton, TX
·
Turf
·
30,850 cap
Stephen F. Austin✈ 182 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%
North Texas wins
Strong
Vegas Spread
North Texas -21.5
O/U 72.5
ESPN Bet
Stephen F. Austin 2024 Schedule
Stephen F. Austin's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/7 | Stephen F. Austin at North Texas | +21.5L20–35 | 72.5 | L20–35 | U | Y |
North Texas 2024 Schedule
North Texas's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | North Texas at South Alabama | +6.0W52–38 | 61.5 | W52–38 | O | Y |
| Sat 9/7 | North Texas vs Stephen F. Austin | -21.5W35–20 | 72.5 | W35–20 | U | N |
| Sat 9/14 | North Texas at Texas Tech | +10.5L21–66 | 70.5 | L21–66 | O | N |
| Sat 9/21 | North Texas vs Wyoming | -7.0W44–17 | 55.0 | W44–17 | O | Y |
| Sat 9/28 | North Texas vs Tulsa | -7.0W52–20 | 65.5 | W52–20 | O | Y |
| — Bye Week — | ||||||
| Sat 10/12 | North Texas at Florida Atlantic | -5.5W41–37 | 58.5 | W41–37 | O | N |
| Sat 10/19 | North Texas at Memphis | +10.5L44–52 | 67.5 | L44–52 | O | Y |
| Sat 10/26 | North Texas vs Tulane | +7.5L37–45 | 70.5 | L37–45 | O | N |
| — Bye Week — | ||||||
| Sat 11/9 | North Texas vs Army | +6.5L3–14 | 68.0 | L3–14 | U | N |
| Fri 11/15 | North Texas at UTSA | +1.0L27–48 | 73.0 | L27–48 | O | N |
| Sat 11/23 | North Texas vs East Carolina | -2.5L28–40 | 73.5 | L28–40 | U | N |
| Sat 11/30 | North Texas at Temple | -10.5W24–17 | 63.5 | W24–17 | U | N |
| Fri 1/3 | North Texas vs Texas State | +15.5L28–30 | 67.5 | L28–30 | U | Y |
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Stephen F. Austin Edge
Stephen F. Austin +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?
North Texas Edge
North Texas +28.7
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 ✓