Matchup Prediction
Louisiana
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Louisiana entering this game.
Momentum Control
61.3%
Louisiana wins
Lean
Game Control
49.4%
Louisiana wins
Toss-up
Vegas Spread
TCU -9.5
O/U 61.0
DraftKings
Advanced Stats
All 4 factors agree → TCU
· 83.1% ATS historically when all four align
↓ See full breakdown
Louisiana 2024 Schedule
Louisiana's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Louisiana vs Grambling | -26 | — | — | — | — |
| Sat 9/7 | Louisiana at Kennesaw State | -14.5W34–10 | 46.5 | W34–10 | U | Y |
| — Bye Week — | ||||||
| Sat 9/21 | Louisiana vs Tulane | +1.5L33–41 | 53.5 | L33–41 | O | N |
| Sat 9/28 | Louisiana at Wake Forest | +3.0W41–38 | 59.5 | W41–38 | O | Y |
| Sat 10/5 | Louisiana at Southern Miss | -17.5W23–13 | 57.5 | W23–13 | U | N |
| Sat 10/12 | Louisiana vs App State | -10.0W34–24 | 64.0 | W34–24 | U | N |
| Sat 10/19 | Louisiana at Coastal Carolina | -6.0W34–24 | 57.0 | W34–24 | O | Y |
| — Bye Week — | ||||||
| Tue 10/29 | Louisiana at Texas State | +4.0W23–17 | 60.5 | W23–17 | U | Y |
| Sat 11/9 | Louisiana vs Arkansas State | -14.0W55–19 | 60.0 | W55–19 | O | Y |
| Sat 11/16 | Louisiana vs South Alabama | -6.5L22–24 | 60.0 | L22–24 | U | N |
| Sat 11/23 | Louisiana vs Troy | -7.5W51–30 | 51.5 | W51–30 | O | Y |
| Sat 11/30 | Louisiana at UL Monroe | -8.5W37–23 | 50.5 | W37–23 | O | Y |
| Sat 12/7 | Louisiana vs Marshall | -5.0L3–31 | 58.0 | L3–31 | U | N |
| Sat 12/28 | Louisiana vs TCU | +9.5L3–34 | 61.0 | L3–34 | U | N |
TCU 2024 Schedule
TCU's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Fri 8/30 | TCU at Stanford | -8.0W34–27 | 58.5 | W34–27 | O | N |
| Sat 9/7 | TCU vs Long Island University | -45.5W45–0 | 56.5 | W45–0 | U | N |
| Sat 9/14 | TCU vs UCF | -1.5L34–35 | 61.5 | L34–35 | O | N |
| Sat 9/21 | TCU at SMU | -1.0L42–66 | 58.5 | L42–66 | O | N |
| Sat 9/28 | TCU vs Kansas | +1.5W38–27 | 58.5 | W38–27 | O | Y |
| Fri 10/4 | TCU vs Houston | -16.5L19–30 | 52.0 | L19–30 | U | N |
| — Bye Week — | ||||||
| Sat 10/19 | TCU at Utah | +3.0W13–7 | 52.0 | W13–7 | U | Y |
| Sat 10/26 | TCU vs Texas Tech | -5.0W35–34 | 66.0 | W35–34 | O | N |
| Sat 11/2 | TCU at Baylor | +2.5L34–37 | 64.0 | L34–37 | O | N |
| Sat 11/9 | TCU vs Oklahoma State | -10.5W38–13 | 68.5 | W38–13 | U | Y |
| — Bye Week — | ||||||
| Sat 11/23 | TCU vs Arizona | -10.5W49–28 | 60.0 | W49–28 | O | Y |
| Sat 11/30 | TCU at Cincinnati | -2.5W20–13 | 58.5 | W20–13 | U | Y |
| Sat 12/28 | TCU vs Louisiana | -9.5W34–3 | 61.0 | W34–3 | U | Y |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2024 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ TCU
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ TCU
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ TCU
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 · 2024 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 +0.64
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 11 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Louisiana Edge
Louisiana +3.8
GC Edge (season-to-date)
Teams with this edge win 49.4% of games historically
Based on 12 games this season
Actual Result
CSS Battle
TCU
3 — 0 sequences
✗ Predicted incorrectly
GC Battle
TCU
90.4 — 4.0 GC score
✗ Predicted incorrectly
Game Result
TCU won by 31
✗ Model missed it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Louisiana, 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
Michael Desormeaux #1
13–14 (48%)
· Yr 3 at school
OC
Tim Leger
Yr 3
#1
DC
Jim Salgado
Yr 1
#1
TCU
Sonny Dykes #1
18–9 (67%)
· Yr 3 at school
OC
Kendal Briles
Yr 2
#1
DC
Andy Avalos
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 ✓