UTSA at Texas Week 3 College Football Matchup UTSA at Texas Matchup - Week 3
Sun, Sep 18 2022 · Week 3 · 🏟 Darrell K Royal-Texas Memorial Stadium Austin, TX · Turf · 100,119 cap
Away
20 41
Final
Home
📊 Punt & Rally Projection
UTSA
20
Texas
39
P&R Line Texas -18.5
P&R Total O/U 58.5
Confidence 86 High
Vegas Texas -13 · O/U 57.5
Matchup Prediction
Texas has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor Texas entering this game.
Momentum Control
71.6%
Texas wins
Solid
Game Control
76%
Texas wins
Strong
Vegas Spread
Texas -13
O/U 57.5
teamrankings
Advanced Stats
PPA + Success Rate agree → UTSA · 73.9% ATS historically
↓ See full breakdown
🏠 Texas 3rd straight Home Game 🚌 UTSA 2nd straight Road Game
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
Texas 2022 Schedule
Texas's 2022 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/3Texas vs UL Monroe-37.0W52–1064.5W52–10UY
Sat 9/10Texas vs Alabama+21.0L19–2064.0L19–20UY
Sat 9/17Texas vs UTSA-13.0W41–2057.5W41–20OY
Sat 9/24Texas at Texas Tech-7.0L34–3760.0L34–37ON
Sat 10/1Texas vs West Virginia-7.5W38–2061.0W38–20UY
Sat 10/8Texas vs Oklahoma-7.5W49–065.0W49–0UY
Sat 10/15Texas vs Iowa State-15.5W24–2148.5W24–21UN
Sat 10/22Texas at Oklahoma State-6.5L34–4158.5L34–41ON
— Bye Week —
Sat 11/5Texas at Kansas State-3.0W34–2754.5W34–27OY
Sat 11/12Texas vs TCU-7.5L10–1765.0L10–17UN
Sat 11/19Texas at Kansas-9.0W55–1463.5W55–14OY
Fri 11/25Texas vs Baylor-10.0W38–2755.0W38–27OY
Thu 12/29Texas vs Washington-3.0L20–2767.0L20–27UN
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
Split
Metrics disagree
Elite · 82.4% ATS
PPA + PPO + Havoc
Split
Metrics disagree
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ UTSA
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
UTSA
+0.443
Texas
+0.437
UTSA Edge
PPA Passing
Pass efficiency edge · Strong predictor
UTSA
+0.643
Texas
+0.592
UTSA Edge
Havoc Total
Def. disruption rate · Strong predictor
UTSA
0.205
Texas
0.173
TFLs, sacks, PBUs, forced fumbles — higher is better
UTSA Edge
Points Per Opp
Drive-finishing edge · Strong predictor
UTSA
+7.349
Texas
+7.704
Texas Edge
Success Rate
Play consistency edge · Solid predictor
UTSA
+0.879
Texas
+0.841
UTSA Edge
Field Position
Avg start (lower=better) · Solid predictor
UTSA
69.4
Texas
69.6
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
Texas Rated Higher
Overall Power Rating
UTSA
0.7
Texas
27.2
Offense Rating
UTSA
16.4
Texas
29.5
Defense Rating (lower = better defense)
UTSA
15.7
Texas
2.3
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? Texas Edge
Avg sequences created per game
UTSA #57
1.00
Texas #6
2.00
Avg sequences allowed per game (lower is better)
UTSA #62
1.50
Texas #5
0.00
Texas +1.00
CSS Edge (season-to-date)
Teams with this edge win 71.6% of games historically
Based on 2 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? Texas Edge
Avg GC score per game (offense)
UTSA #1
31.3
Texas #1
65.1
Avg GC score allowed per game (lower is better)
UTSA #15
39.4
Texas #10
13.6
Texas +33.7
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 2 games this season
Actual Result
CSS Battle
Texas
2 — 0 sequences
✓ Predicted correctly
GC Battle
Texas
68.6 — 14.7 GC score
✓ Predicted correctly
Game Result
Texas won by 21
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on Texas with a large edge. Historically, dominant teams like this are fully priced into the spread — the agreed-upon team covers just 50.2% of the time. The metrics predict game control better than they beat the number.

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

Coaching Matchup
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
Texas
Steve Sarkisian #1
5–7 (42%) · Yr 2 at school
OC Kyle Flood Yr 2 #1
DC Pete Kwiatkowski 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: 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