Louisiana Tech at UTSA Week 11 College Football Matchup Louisiana Tech at UTSA Matchup - Week 11
Sat, Nov 12 2022 · Week 11 · 🏟 Alamodome San Antonio, TX · Turf · 65,000 cap
Louisiana Tech✈ 406 miSame TZ
7 51
Final
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📊 Punt & Rally Projection
Louisiana Tech
20
UTSA
47
P&R Line UTSA -27.5
P&R Total O/U 67
Confidence 90 High
Vegas UT San Antonio -17 · O/U 68.5
Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors Louisiana Tech, while Game Control favors UTSA. Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
61.3%
Louisiana Tech wins
Lean
Game Control
67.1%
UTSA wins
Solid
Vegas Spread
UT San Antonio -17
O/U 68.5
teamrankings
Advanced Stats
All 4 factors agree → UTSA · 83.1% ATS historically when all four align
↓ See full breakdown
Louisiana Tech 2022 Schedule
Louisiana Tech's 2022 Schedule
DateMatchupSpreadTotalResultO/UCover
Thu 9/1Louisiana Tech at Missouri+20.0L24–5262.5L24–52ON
Sat 9/10Louisiana Tech vs Stephen F. Austin-6.5W52–1764.5W52–17OY
Sat 9/17Louisiana Tech at Clemson+33.5L20–4853.5L20–48OY
Sat 9/24Louisiana Tech at South Alabama+13.0L14–3859.0L14–38UN
— Bye Week —
Sat 10/8Louisiana Tech vs UTEP-2.0W41–3152.0W41–31OY
Sat 10/15Louisiana Tech at North Texas+6.5L27–4768.0L27–47ON
Sat 10/22Louisiana Tech vs Rice+3.0L41–4257.0L41–42OY
Fri 10/28Louisiana Tech at Florida International-6.5L34–4257.0L34–42ON
Sat 11/5Louisiana Tech vs Middle Tennessee+2.5W40–2464.0W40–24UY
Sat 11/12Louisiana Tech at UTSA+17.0L7–5168.5L7–51UN
Sat 11/19Louisiana Tech at Charlotte-2.0L21–2666.5L21–26UN
Sat 11/26Louisiana Tech vs UAB+18.0L27–3755.5L27–37OY
UTSA 2022 Schedule
UTSA's 2022 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/3UTSA vs Houston+3.5L35–3761.5L35–37OY
Sat 9/10UTSA at Army-2.0W41–3854.0W41–38OY
Sat 9/17UTSA at Texas+13.0L20–4157.5L20–41ON
Sat 9/24UTSA vs Texas Southern-42.0W52–2465.5W52–24ON
Fri 9/30UTSA at Middle Tennessee-4.5W45–3064.0W45–30OY
Sat 10/8UTSA vs Western Kentucky-6.5W31–2872.5W31–28UN
Fri 10/14UTSA at Florida International-33.0W30–1064.0W30–10UN
Sat 10/22UTSA vs North Texas-10.0W31–2773.0W31–27UN
— Bye Week —
Sat 11/5UTSA at UAB-2.5W44–3853.5W44–38OY
Sat 11/12UTSA vs Louisiana Tech-17.0W51–768.5W51–7UY
Sat 11/19UTSA at Rice-14.0W41–756.0W41–7UY
Sat 11/26UTSA vs UTEP-16.5W34–3156.5W34–31ON
Fri 12/2UTSA vs North Texas-8.5W48–2770.0W48–27OY
Fri 12/16UTSA vs Troy+2.0L12–1855.5L12–18UN
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2022 season
UTSA PPA Edge
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ UTSA
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ UTSA
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ UTSA
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
Louisiana Tech
+0.300
UTSA
+0.581
UTSA Edge
PPA Passing
Pass efficiency edge · Strong predictor
Louisiana Tech
+0.496
UTSA
+0.674
UTSA Edge
Havoc Total
Def. disruption rate · Strong predictor
Louisiana Tech
0.144
UTSA
0.205
TFLs, sacks, PBUs, forced fumbles — higher is better
UTSA Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Louisiana Tech
+6.522
UTSA
+8.420
UTSA Edge
Success Rate
Play consistency edge · Solid predictor
Louisiana Tech
+0.747
UTSA
+0.920
UTSA Edge
Field Position
Avg start (lower=better) · Solid predictor
Louisiana Tech
70.8
UTSA
69.4
Avg yards from own endzone to average start — lower is better · longer bar = better field position
UTSA Edge
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
UTSA Rated Higher
Overall Power Rating
Louisiana Tech
-5.0
UTSA
0.7
Offense Rating
Louisiana Tech
13.5
UTSA
16.4
Defense Rating (lower = better defense)
Louisiana Tech
18.4
UTSA
15.7
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? Louisiana Tech Edge
Avg sequences created per game
Louisiana Tech #101
1.22
UTSA #57
0.88
Avg sequences allowed per game (lower is better)
Louisiana Tech #119
1.00
UTSA #62
0.75
Louisiana Tech +0.35
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 8 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? UTSA Edge
Avg GC score per game (offense)
Louisiana Tech #1
41.2
UTSA #1
58.9
Avg GC score allowed per game (lower is better)
Louisiana Tech #107
48.6
UTSA #15
24.5
UTSA +17.6
GC Edge (season-to-date)
Teams with this edge win 67.1% of games historically
Based on 9 games this season
Actual Result
CSS Battle
UTSA
5 — 0 sequences
✗ Predicted incorrectly
GC Battle
UTSA
97.7 — 0.9 GC score
✓ Predicted correctly
Game Result
UTSA won by 44
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

CSS and GC disagree on this matchup. When the metrics split, historical cover rates are essentially random — treat this as a coin flip against the spread.

ATS data is informational only. Past cover rates do not guarantee future results.

Coaching Matchup
Louisiana Tech
Sonny Cumbie #1
0–0 (0%) · Yr 1 at school
OC Jake Brown Yr 1 #1
DC Scott Power Yr 1 #1
Staff Rating
0.00 #1
UTSA
Jeff Traylor #1
19–7 (73%) · Yr 3 at school
OC Will Stein Yr 1 #1
DC Jess Loepp Yr 1 #1
Staff Rating
0.00 #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