UTEP at Arizona Week 3 College Football Matchup UTEP at Arizona Matchup - Week 3
Sun, Sep 17 2023 · Week 3 · 🏟 Arizona Stadium Tucson, AZ · Turf · 56,029 cap
UTEP✈ 262 mi-1 hr TZ
Away
10 31
Final
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📊 Punt & Rally Projection
UTEP
14
ARIZ -18
Arizona
41
P&R Line Arizona -27.5
P&R Total O/U 54.5
Confidence 90 High
Vegas Arizona -18 · O/U 57.0
Matchup Prediction
Toss-up — no clear edge
Neither metric shows a meaningful pre-game edge in this matchup.
Momentum Control
58.4%
Lean
Game Control
76%
Arizona wins
Strong
Vegas Spread
Arizona -18
O/U 57.0
William Hill (New Jersey)
Advanced Stats
All 4 factors agree → Arizona · 83.1% ATS historically when all four align
↓ See full breakdown
🚌 UTEP 2nd straight Road Game
UTEP 2023 Schedule
UTEP's 2023 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 8/26UTEP at Jacksonville State-1.5L14–1754.5L14–17UN
Sat 9/2UTEP vs Incarnate Word-7.5W28–1457.5W28–14UY
Sat 9/9UTEP at Northwestern+1.0L7–3840.0L7–38ON
Sat 9/16UTEP at Arizona+18.0L10–3157.0L10–31UN
Sat 9/23UTEP vs UNLV-1.0L28–4549.5L28–45ON
Fri 9/29UTEP vs Louisiana Tech+2.0L10–2449.5L10–24UN
— Bye Week —
Wed 10/11UTEP at Florida International-1.5W27–1444.0W27–14UY
Wed 10/18UTEP vs New Mexico State+3.0L7–2848.5L7–28UN
Wed 10/25UTEP at Sam Houston+4.0W37–3438.5W37–34OY
Sat 11/4UTEP vs Western Kentucky+9.5L13–2154.5L13–21UY
— Bye Week —
Sat 11/18UTEP at Middle Tennessee+8.5L30–3448.5L30–34OY
Sat 11/25UTEP vs Liberty+18.0L28–4254.5L28–42OY
Arizona 2023 Schedule
Arizona's 2023 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/2Arizona vs Northern Arizona-28.5W38–361.0W38–3UY
Sat 9/9Arizona at Mississippi State+9.0L24–3160.0L24–31UY
Sat 9/16Arizona vs UTEP-18.0W31–1057.0W31–10UY
Sat 9/23Arizona at Stanford-13.0W21–2060.0W21–20UN
Sat 9/30Arizona vs Washington+20.0L24–3166.0L24–31UY
Sat 10/7Arizona at USC+21.0L41–4369.5L41–43OY
Sat 10/14Arizona at Washington State+7.5W44–657.5W44–6UY
— Bye Week —
Sat 10/28Arizona vs Oregon State+3.0W27–2457.5W27–24UY
Sat 11/4Arizona vs UCLA+2.5W27–1050.0W27–10UY
Sat 11/11Arizona at Colorado-6.0W34–3155.5W34–31ON
Sat 11/18Arizona vs Utah-2.5W42–1845.5W42–18OY
Sat 11/25Arizona at Arizona State-12.5W59–2348.5W59–23OY
Thu 12/28Arizona vs Oklahoma-2.5W38–2459.5W38–24OY
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2023 season
Arizona PPA Edge
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Arizona
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Arizona
Elite · 73.9% ATS
PPA + Success Rate
Both Agree
→ Arizona
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
UTEP #80
+0.331
Arizona #10
+0.588
Arizona Edge
PPA Passing
Pass efficiency edge · Strong predictor
UTEP #68
+0.548
Arizona #15
+0.729
Arizona Edge
Havoc Total
Def. disruption rate · Strong predictor
UTEP #88
0.153
Arizona #50
0.170
TFLs, sacks, PBUs, forced fumbles — higher is better
Arizona Edge
Points Per Opp
Drive-finishing edge · Strong predictor
UTEP #93
+6.965
Arizona #29
+9.031
Arizona Edge
Success Rate
Play consistency edge · Solid predictor
UTEP #103
+0.813
Arizona #6
+0.940
Arizona Edge
Field Position
Avg start (lower=better) · Solid predictor
UTEP #127
73.9
Arizona #52
70.1
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Arizona Edge
Advanced stats sourced from CFBD · 2023 season · Edges are matchup-adjusted (offense vs opponent defense)
Power Ratings
Team Power Ratings
Overall · Offense · Defense ratings · Updated as season progresses
Arizona Rated Higher
Overall Power Rating
UTEP
-16.2
Arizona
9.6
Offense Rating
UTEP
4.4
Arizona
21.5
Defense Rating (lower = better defense)
UTEP
20.6
Arizona
11.9
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum?
Avg sequences created per game
UTEP #117
0.00
Arizona #8
0.00
Avg sequences allowed per game (lower is better)
UTEP #66
2.50
Arizona #11
1.00
UTEP +0.00
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 1 game this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? Arizona Edge
Avg GC score per game (offense)
UTEP #1
24.2
Arizona #1
50.2
Avg GC score allowed per game (lower is better)
UTEP #127
46.4
Arizona #31
40.4
Arizona +25.9
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 2 games this season
Actual Result
CSS Battle
Arizona
1 — 0 sequences
GC Battle
Arizona
76.2 — 8.8 GC score
✓ Predicted correctly
Game Result
Arizona won by 21
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on Arizona 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
18–43 (30%) · Yr 6 at school
OC Scotty Ohara Yr 1 #1
DC Bradley Dale Peveto Yr 3 #1
Staff Rating
0.00 #1
Arizona
Jedd Fisch #1
8–19 (30%) · Yr 3 at school
OC Brennan Carroll Yr 3 #1
DC Johnny Nansen Yr 2 #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