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
58.3%
Louisiana wins
Lean
Vegas Spread
Houston -5.5
O/U 56.5
Bovada
Advanced Stats
All 4 factors agree → Houston
· 83.1% ATS historically when all four align
↓ See full breakdown
Louisiana 2022 Schedule
Louisiana's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | Louisiana vs SE Louisiana | -13.5W24–7 | 61.0 | W24–7 | U | Y |
| Sat 9/10 | Louisiana vs Eastern Michigan | -11.0W49–21 | 56.0 | W49–21 | O | Y |
| Sat 9/17 | Louisiana at Rice | -11.5L21–33 | 52.0 | L21–33 | O | N |
| Sat 9/24 | Louisiana at UL Monroe | -9.5L17–21 | 51.0 | L17–21 | U | N |
| Sat 10/1 | Louisiana vs South Alabama | +8.5L17–20 | 47.0 | L17–20 | U | Y |
| — Bye Week — | ||||||
| Wed 10/12 | Louisiana at Marshall | +10.5W23–13 | 45.5 | W23–13 | U | Y |
| Sat 10/22 | Louisiana vs Arkansas State | -6.0W38–18 | 51.0 | W38–18 | O | Y |
| Thu 10/27 | Louisiana at Southern Miss | -2.5L24–39 | 42.5 | L24–39 | O | N |
| Sat 11/5 | Louisiana vs Troy | +3.5L17–23 | 42.5 | L17–23 | U | N |
| Thu 11/10 | Louisiana vs Georgia Southern | -3.5W36–17 | 63.0 | W36–17 | U | Y |
| Sat 11/19 | Louisiana at Florida State | +25.0L17–49 | 52.5 | L17–49 | O | N |
| Sat 11/26 | Louisiana at Texas State | -5.0W41–13 | 44.0 | W41–13 | O | Y |
| Fri 12/23 | Louisiana vs Houston | +5.5L16–23 | 56.5 | L16–23 | U | N |
Houston 2022 Schedule
Houston's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | Houston at UTSA | -3.5W37–35 | 61.5 | W37–35 | O | N |
| Sat 9/10 | Houston at Texas Tech | +3.5L30–33 | 62.5 | L30–33 | O | Y |
| Sat 9/17 | Houston vs Kansas | -8.5L30–48 | 58.0 | L30–48 | O | N |
| Sat 9/24 | Houston vs Rice | -17.5W34–27 | 52.5 | W34–27 | O | N |
| Fri 9/30 | Houston vs Tulane | -5.0L24–27 | 52.0 | L24–27 | U | N |
| Fri 10/7 | Houston at Memphis | +1.5W33–32 | 57.5 | W33–32 | O | Y |
| — Bye Week — | ||||||
| Sat 10/22 | Houston at Navy | -3.0W38–20 | 51.0 | W38–20 | O | Y |
| Sat 10/29 | Houston vs South Florida | -17.0W42–27 | 59.0 | W42–27 | O | N |
| Sat 11/5 | Houston at SMU | +3.5L63–77 | 66.0 | L63–77 | O | N |
| Sat 11/12 | Houston vs Temple | -20.0W43–36 | 56.0 | W43–36 | O | N |
| Sat 11/19 | Houston at East Carolina | +6.0W42–3 | 66.5 | W42–3 | U | Y |
| Sat 11/26 | Houston vs Tulsa | -13.0L30–37 | 66.5 | L30–37 | O | N |
| Fri 12/23 | Houston vs Louisiana | -5.5W23–16 | 56.5 | W23–16 | U | Y |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2022 season
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Houston
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Houston
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Houston
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 · 2022 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 +0.82
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 12 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Louisiana Edge
Louisiana +4.5
GC Edge (season-to-date)
Teams with this edge win 58.3% of games historically
Based on 12 games this season
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
1–0 (100%)
· Yr 1 at school
OC
Tim Leger
Yr 1
#1
DC
LaMar Morgan
Yr 1
#1
Houston
Dana Holgorsen #1
19–15 (56%)
· Yr 4 at school
OC
Shannon Dawson
Yr 2
#1
DC
Doug Belk
Yr 2
#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: 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 ✓