UTEP at UTSA Week 13 College Football Matchup UTEP at UTSA Matchup - Week 13
Sat, Nov 26 2022 · Week 13 · 🏟 Alamodome San Antonio, TX · Turf · 65,000 cap
UTEP✈ 504 mi+1 hr TZ
Away
31 34
Final
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📊 Punt & Rally Projection
UTEP
19
UTSA -16.5
UTSA
40
P&R Line UTSA -20.5
P&R Total O/U 58.5
Confidence 90 High
Vegas UT San Antonio -16.5 · O/U 56.5
Matchup Prediction
UTSA has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor UTSA entering this game.
Momentum Control
58.4%
UTSA wins
Lean
Game Control
76%
UTSA wins
Strong
Vegas Spread
UT San Antonio -16.5
O/U 56.5
William Hill (New Jersey)
Advanced Stats
All 4 factors agree → UTSA · 83.1% ATS historically when all four align
↓ See full breakdown
UTEP 2022 Schedule
UTEP's 2022 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 8/27UTEP vs North Texas+1.5L13–3152.5L13–31UN
Sat 9/3UTEP at Oklahoma+31.0L13–4558.0L13–45UN
Sat 9/10UTEP vs New Mexico State-17.0W20–1346.5W20–13UN
Sat 9/17UTEP at New Mexico-2.0L10–2738.0L10–27UN
Fri 9/23UTEP vs Boise State+16.0W27–1044.5W27–10UY
Sat 10/1UTEP at Charlotte-3.5W41–3556.0W41–35OY
Sat 10/8UTEP at Louisiana Tech+2.0L31–4152.0L31–41ON
— Bye Week —
Sat 10/22UTEP vs Florida Atlantic+3.0W24–2150.5W24–21UY
Sat 10/29UTEP vs Middle Tennessee-2.5L13–2452.0L13–24UN
Thu 11/3UTEP at Rice+3.5L30–3747.0L30–37ON
— Bye Week —
Sat 11/19UTEP vs Florida International-14.0W40–650.0W40–6UY
Sat 11/26UTEP at UTSA+16.5L31–3456.5L31–34OY
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
UTEP
+0.310
UTSA
+0.529
UTSA Edge
PPA Passing
Pass efficiency edge · Strong predictor
UTEP
+0.423
UTSA
+0.851
UTSA Edge
Havoc Total
Def. disruption rate · Strong predictor
UTEP
0.186
UTSA
0.205
TFLs, sacks, PBUs, forced fumbles — higher is better
UTSA Edge
Points Per Opp
Drive-finishing edge · Strong predictor
UTEP
+6.084
UTSA
+8.314
UTSA Edge
Success Rate
Play consistency edge · Solid predictor
UTEP
+0.773
UTSA
+0.921
UTSA Edge
Field Position
Avg start (lower=better) · Solid predictor
UTEP
72.9
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
UTEP
-16.2
UTSA
-0.2
Offense Rating
UTEP
4.4
UTSA
16.4
Defense Rating (lower = better defense)
UTEP
20.6
UTSA
16.6
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? UTSA Edge
Avg sequences created per game
UTEP #38
0.64
UTSA #57
1.60
Avg sequences allowed per game (lower is better)
UTEP #94
0.82
UTSA #62
0.60
UTSA +0.96
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 10 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? UTSA Edge
Avg GC score per game (offense)
UTEP #1
33.7
UTSA #1
65.9
Avg GC score allowed per game (lower is better)
UTEP #91
49.9
UTSA #15
20.2
UTSA +32.1
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 11 games this season
Actual Result
CSS Battle
UTEP
2 — 3 sequences
✗ Predicted incorrectly
GC Battle
UTEP
30.0 — 46.3 GC score
✗ Predicted incorrectly
Game Result
UTSA won by 3
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on UTSA 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
UTEP
Dana Dimel #1
12–33 (27%) · Yr 5 at school
OC Dave Warner Yr 2 #1
DC Bradley Dale Peveto Yr 2 #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: 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