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
Texas -8.5
O/U 58.0
teamrankings
Advanced Stats
All 4 factors agree → Louisiana
· 83.1% ATS historically when all four align
↓ See full breakdown
Louisiana 2021 Schedule
Louisiana's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/4 | Louisiana at Texas | +8.5L18–38 | 58.0 | L18–38 | U | N |
| Sat 9/11 | Louisiana vs Nicholls | -26.0W27–24 | 65.0 | W27–24 | U | N |
| Thu 9/16 | Louisiana vs Ohio | -18.5W49–14 | 56.5 | W49–14 | O | Y |
| Sat 9/25 | Louisiana at Georgia Southern | -14.5W28–20 | 54.5 | W28–20 | U | N |
| Sat 10/2 | Louisiana at South Alabama | -12.0W20–18 | 52.5 | W20–18 | U | N |
| — Bye Week — | ||||||
| Tue 10/12 | Louisiana vs App State | +4.5W41–13 | 57.5 | W41–13 | U | Y |
| Thu 10/21 | Louisiana at Arkansas State | -17.0W28–27 | 70.0 | W28–27 | U | N |
| Sat 10/30 | Louisiana vs Texas State | -21.0W45–0 | 58.0 | W45–0 | U | Y |
| Thu 11/4 | Louisiana vs Georgia State | -13.5W21–17 | 53.5 | W21–17 | U | N |
| Sat 11/13 | Louisiana at Troy | -6.5W35–21 | 48.0 | W35–21 | O | Y |
| Sat 11/20 | Louisiana at Liberty | +4.0W42–14 | 53.5 | W42–14 | O | Y |
| Sat 11/27 | Louisiana vs UL Monroe | -21.5W21–16 | 56.0 | W21–16 | U | N |
| Sat 12/4 | Louisiana vs App State | +2.5W24–16 | 52.5 | W24–16 | U | Y |
| Sat 12/18 | Louisiana vs Marshall | -4.0W36–21 | 55.5 | W36–21 | O | Y |
Texas 2021 Schedule
Texas's 2021 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/4 | Texas vs Louisiana | -8.5W38–18 | 58.0 | W38–18 | U | Y |
| Sat 9/11 | Texas at Arkansas | -6.0L21–40 | 57.5 | L21–40 | O | N |
| Sat 9/18 | Texas vs Rice | -26.0W58–0 | 52.0 | W58–0 | O | Y |
| Sat 9/25 | Texas vs Texas Tech | -9.0W70–35 | 63.0 | W70–35 | O | Y |
| Sat 10/2 | Texas at TCU | -3.5W32–27 | 65.5 | W32–27 | U | Y |
| Sat 10/9 | Texas vs Oklahoma | +4.0L48–55 | 65.5 | L48–55 | O | N |
| Sat 10/16 | Texas vs Oklahoma State | -3.0L24–32 | 61.0 | L24–32 | U | N |
| — Bye Week — | ||||||
| Sat 10/30 | Texas at Baylor | +2.0L24–31 | 61.5 | L24–31 | U | N |
| Sat 11/6 | Texas at Iowa State | +6.0L7–30 | 59.5 | L7–30 | U | N |
| Sat 11/13 | Texas vs Kansas | -31.0L56–57 | 61.5 | L56–57 | O | N |
| Sat 11/20 | Texas at West Virginia | +2.5L23–31 | 56.0 | L23–31 | U | N |
| Fri 11/26 | Texas vs Kansas State | -3.0W22–17 | 54.5 | W22–17 | U | Y |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2021 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Louisiana
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Louisiana
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Louisiana
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
PPA Passing
Pass efficiency edge · Strong predictor
Havoc Total
Def. disruption rate · Strong predictor
TFLs, sacks, PBUs, forced fumbles — higher is better
Points Per Opp
Drive-finishing edge · Strong predictor
Success Rate
Play consistency edge · Solid predictor
Field Position
Avg start (lower=better) · Solid predictor
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Advanced stats sourced from CFBD · 2021 season ·
Edges are matchup-adjusted (offense vs opponent defense)
Power Ratings
Team Power Ratings
Overall · Offense · Defense ratings · Updated as season progresses
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Louisiana Edge
Louisiana +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 0 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Louisiana Edge
Louisiana +0.0
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 0 games this season
Actual Result
CSS Battle
Texas
1 — 0 sequences
✗ Predicted incorrectly
GC Battle
Texas
83.9 — 7.1 GC score
✗ Predicted incorrectly
Game Result
Texas won by 20
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Texas, 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.
Coaching Matchup
Louisiana
Billy Napier #1
30–12 (71%)
· Yr 4 at school
OC
Michael Desormeaux
Yr 1
#1
DC
Patrick Toney
Yr 1
#1
Texas
Steve Sarkisian #1
2–1 (67%)
· Yr 1 at school
OC
Kyle Flood
Yr 1
#1
DC
Pete Kwiatkowski
Yr 1
#1
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 ✓