Sat, Sep 10 2022
·
Week 2
·
🏟 Joe Aillet Stadium
Ruston, LA
·
Turf
·
28,019 cap
Stephen F. Austin✈ 132 miSame TZ
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
50.6%
—
Toss-up
Vegas Spread
Louisiana Tech -6.5
O/U 64.5
consensus
Stephen F. Austin 2022 Schedule
Stephen F. Austin's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| — Bye Week — | ||||||
| Sat 9/10 | Stephen F. Austin at Louisiana Tech | +6.5L17–52 | 64.5 | L17–52 | O | N |
Louisiana Tech 2022 Schedule
Louisiana Tech's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Thu 9/1 | Louisiana Tech at Missouri | +20.0L24–52 | 62.5 | L24–52 | O | N |
| Sat 9/10 | Louisiana Tech vs Stephen F. Austin | -6.5W52–17 | 64.5 | W52–17 | O | Y |
| Sat 9/17 | Louisiana Tech at Clemson | +33.5L20–48 | 53.5 | L20–48 | O | Y |
| Sat 9/24 | Louisiana Tech at South Alabama | +13.0L14–38 | 59.0 | L14–38 | U | N |
| — Bye Week — | ||||||
| Sat 10/8 | Louisiana Tech vs UTEP | -2.0W41–31 | 52.0 | W41–31 | O | Y |
| Sat 10/15 | Louisiana Tech at North Texas | +6.5L27–47 | 68.0 | L27–47 | O | N |
| Sat 10/22 | Louisiana Tech vs Rice | +3.0L41–42 | 57.0 | L41–42 | O | Y |
| Fri 10/28 | Louisiana Tech at Florida International | -6.5L34–42 | 57.0 | L34–42 | O | N |
| Sat 11/5 | Louisiana Tech vs Middle Tennessee | +2.5W40–24 | 64.0 | W40–24 | U | Y |
| Sat 11/12 | Louisiana Tech at UTSA | +17.0L7–51 | 68.5 | L7–51 | U | N |
| Sat 11/19 | Louisiana Tech at Charlotte | -2.0L21–26 | 66.5 | L21–26 | U | N |
| Sat 11/26 | Louisiana Tech vs UAB | +18.0L27–37 | 55.5 | L27–37 | O | 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 1 game this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Stephen F. Austin Edge
Stephen F. Austin +0.0
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 1 game this season
Actual Result
CSS Battle
Louisiana Tech
3 — 0 sequences
✗ Predicted incorrectly
GC Battle
Louisiana Tech
90.5 — 3.9 GC score
✗ Predicted incorrectly
Game Result
Louisiana Tech won by 35
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Louisiana Tech, but the GC edge is small. When metrics agree but GC is near-neutral, the agreed-upon team has covered only 46.7% of the time historically (n=224) — potentially a fade signal.
ATS data is informational only. Past cover rates do not guarantee future results.
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: CSS is not a predictive 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: GS is not a predictive 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: CSS is not a predictive 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: GS is not a predictive 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 ✓