UNLV at UTSA Week 5 College Football Matchup UNLV at UTSA Matchup - Week 5
Sat, Oct 2 2021 · Week 5 · 🏟 Alamodome San Antonio, TX · Turf · 65,000 cap
UNLV✈ 1,072 mi+2 hr TZ
Away
17 24
Final
Home
📊 Punt & Rally Projection
UNLV
17
UTSA -21.5
UTSA
40
P&R Line UTSA -23
P&R Total O/U 56.5
Confidence 86 High
Vegas UT San Antonio -21.5 · O/U 55.5
Matchup Prediction
UTSA has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor UTSA entering this game.
Momentum Control
71.6%
UTSA wins
Solid
Game Control
76%
UTSA wins
Strong
Vegas Spread
UT San Antonio -21.5
O/U 55.5
teamrankings
Advanced Stats
PPA + Success Rate agree → UTSA · 73.9% ATS historically
↓ See full breakdown
🚌 UNLV 2nd straight Road Game
UNLV 2021 Schedule
UNLV's 2021 Schedule
DateMatchupSpreadTotalResultO/UCover
Thu 9/2UNLV vs Eastern Washington+2.0L33–3566.0L33–35OY
Sat 9/11UNLV at Arizona State+34.5L10–3755.5L10–37UY
Sat 9/18UNLV vs Iowa State+32.0L3–4853.0L3–48UN
Fri 9/24UNLV at Fresno State+30.0L30–3859.0L30–38OY
Sat 10/2UNLV at UTSA+21.5L17–2455.5L17–24UY
— Bye Week —
Sat 10/16UNLV vs Utah State+7.5L24–2864.0L24–28UY
Thu 10/21UNLV vs San José State+6.0L20–2744.0L20–27ON
Fri 10/29UNLV at Nevada+19.0L20–5158.0L20–51ON
Sat 11/6UNLV at New Mexico+1.5W31–1745.0W31–17OY
Sat 11/13UNLV vs Hawai'i+3.5W27–1355.5W27–13UY
Fri 11/19UNLV vs San Diego State+11.0L20–2841.0L20–28OY
Fri 11/26UNLV at Air Force+18.5L14–4849.5L14–48ON
UTSA 2021 Schedule
UTSA's 2021 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/4UTSA at Illinois+4.5W37–3052.0W37–30OY
Sat 9/11UTSA vs Lamar-38.0W54–065.0W54–0UY
Sat 9/18UTSA vs Middle Tennessee-11.5W27–1360.0W27–13UY
Sat 9/25UTSA at Memphis+3.0W31–2866.5W31–28UY
Sat 10/2UTSA vs UNLV-21.5W24–1755.5W24–17UN
Sat 10/9UTSA at Western Kentucky+3.5W52–4671.0W52–46OY
Sat 10/16UTSA vs Rice-17.0W45–053.0W45–0UY
Sat 10/23UTSA at Louisiana Tech-5.5W45–1659.5W45–16OY
— Bye Week —
Sat 11/6UTSA at UTEP-12.0W44–2353.5W44–23OY
Sat 11/13UTSA vs Southern Miss-32.5W27–1754.0W27–17UN
Sat 11/20UTSA vs UAB-3.5W34–3154.0W34–31ON
Sat 11/27UTSA at North Texas-8.5L23–4560.0L23–45ON
Fri 12/3UTSA vs Western Kentucky+3.0W49–4174.5W49–41OY
Tue 12/21UTSA vs San Diego State+3.0L24–3848.0L24–38ON
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2021 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
UNLV
+0.347
UTSA
+0.515
UTSA Edge
PPA Passing
Pass efficiency edge · Strong predictor
UNLV
+0.571
UTSA
+0.810
UTSA Edge
Havoc Total
Def. disruption rate · Strong predictor
UNLV
0.184
UTSA
0.183
TFLs, sacks, PBUs, forced fumbles — higher is better
UNLV Edge
Points Per Opp
Drive-finishing edge · Strong predictor
UNLV
+8.038
UTSA
+8.635
UTSA Edge
Success Rate
Play consistency edge · Solid predictor
UNLV
+0.789
UTSA
+0.893
UTSA Edge
Field Position
Avg start (lower=better) · Solid predictor
UNLV
72.5
UTSA
69.5
Avg yards from own endzone to average start — lower is better · longer bar = better field position
UTSA Edge
Advanced stats sourced from CFBD · 2021 season · Edges are matchup-adjusted (offense vs opponent defense)
Power Ratings
Team Power Ratings
Overall · Offense · Defense ratings · Updated as season progresses
UNLV Rated Higher
Overall Power Rating
UNLV
2.0
UTSA
-0.2
Offense Rating
UNLV
17.2
UTSA
16.4
Defense Rating (lower = better defense)
UNLV
15.2
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
UNLV #67
0.67
UTSA #32
2.00
Avg sequences allowed per game (lower is better)
UNLV #131
3.00
UTSA #24
0.50
UTSA +1.33
CSS Edge (season-to-date)
Teams with this edge win 71.6% of games historically
Based on 4 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? UTSA Edge
Avg GC score per game (offense)
UNLV #1
10.4
UTSA #1
65.8
Avg GC score allowed per game (lower is better)
UNLV #112
73.9
UTSA #21
24.3
UTSA +55.4
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 4 games this season
Actual Result
CSS Battle
Tie
1 — 1 sequences
✗ Predicted incorrectly
GC Battle
UTSA
81.3 — 4.6 GC score
✓ Predicted correctly
Game Result
UTSA won by 7
✓ 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
UNLV
Marcus Arroyo #1
0–9 (0%) · Yr 2 at school
OC Glenn Thomas Yr 1 #1
DC Peter Hansen Yr 1 #1
Staff Rating
0.00 #1
UTSA
Jeff Traylor #1
10–5 (67%) · Yr 2 at school
OC Barry Lunney Jr. Yr 1 #1
DC Jess Loepp / Rod Wright 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