Sat, Sep 30 2023
·
Week 5
·
🏟 Sun Bowl Stadium
El Paso, TX
·
Turf
·
51,500 cap
Louisiana Tech✈ 811 mi-1 hr TZ
Matchup Prediction
Louisiana Tech
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
Louisiana Tech entering this game.
Momentum Control
61.3%
Louisiana Tech wins
Lean
Game Control
58.3%
Louisiana Tech wins
Lean
Vegas Spread
Louisiana Tech -2
O/U 49.5
William Hill (New Jersey)
Advanced Stats
Advanced factors are split · No strong agreement signal
↓ See full breakdown
Louisiana Tech 2023 Schedule
Louisiana Tech's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/26 | Louisiana Tech vs Florida International | -12.0W22–17 | 57.5 | W22–17 | U | N |
| Sat 9/2 | Louisiana Tech at SMU | +21.0L14–38 | 66.0 | L14–38 | U | N |
| Sat 9/9 | Louisiana Tech vs Northwestern State | -23.0W51–21 | 58.5 | W51–21 | O | Y |
| Sat 9/16 | Louisiana Tech vs North Texas | -4.5L37–40 | 66.5 | L37–40 | O | N |
| Sat 9/23 | Louisiana Tech at Nebraska | +20.5L14–28 | 44.5 | L14–28 | U | Y |
| Fri 9/29 | Louisiana Tech at UTEP | -2.0W24–10 | 49.5 | W24–10 | U | Y |
| Thu 10/5 | Louisiana Tech vs Western Kentucky | +6.0L28–35 | 59.0 | L28–35 | O | N |
| Tue 10/10 | Louisiana Tech at Middle Tennessee | +3.0L23–31 | 53.5 | L23–31 | O | N |
| — Bye Week — | ||||||
| Tue 10/24 | Louisiana Tech vs New Mexico State | -3.0L24–27 | 55.0 | L24–27 | U | N |
| Sat 11/4 | Louisiana Tech at Liberty | +16.5L30–56 | 58.0 | L30–56 | O | N |
| Sat 11/11 | Louisiana Tech vs Sam Houston | -8.5L27–42 | 49.5 | L27–42 | O | N |
| Sat 11/18 | Louisiana Tech at Jacksonville State | +8.5L17–56 | 53.5 | L17–56 | O | N |
UTEP 2023 Schedule
UTEP's 2023 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/26 | UTEP at Jacksonville State | -1.5L14–17 | 54.5 | L14–17 | U | N |
| Sat 9/2 | UTEP vs Incarnate Word | -7.5W28–14 | 57.5 | W28–14 | U | Y |
| Sat 9/9 | UTEP at Northwestern | +1.0L7–38 | 40.0 | L7–38 | O | N |
| Sat 9/16 | UTEP at Arizona | +18.0L10–31 | 57.0 | L10–31 | U | N |
| Sat 9/23 | UTEP vs UNLV | -1.0L28–45 | 49.5 | L28–45 | O | N |
| Fri 9/29 | UTEP vs Louisiana Tech | +2.0L10–24 | 49.5 | L10–24 | U | N |
| — Bye Week — | ||||||
| Wed 10/11 | UTEP at Florida International | -1.5W27–14 | 44.0 | W27–14 | U | Y |
| Wed 10/18 | UTEP vs New Mexico State | +3.0L7–28 | 48.5 | L7–28 | U | N |
| Wed 10/25 | UTEP at Sam Houston | +4.0W37–34 | 38.5 | W37–34 | O | Y |
| Sat 11/4 | UTEP vs Western Kentucky | +9.5L13–21 | 54.5 | L13–21 | U | Y |
| — Bye Week — | ||||||
| Sat 11/18 | UTEP at Middle Tennessee | +8.5L30–34 | 48.5 | L30–34 | O | Y |
| Sat 11/25 | UTEP vs Liberty | +18.0L28–42 | 54.5 | L28–42 | O | Y |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2023 season
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
Split
Metrics disagree
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
PPA Passing
Pass efficiency edge · Strong predictor
Havoc Total
Def. disruption rate · Strong predictor
TFLs, sacks, PBUs, forced fumbles — higher is better
Points Per Opp
Drive-finishing edge · Strong predictor
Success Rate
Play consistency edge · Solid predictor
Field Position
Avg start (lower=better) · Solid predictor
Avg yards from own endzone to average start — lower is better · longer bar = better field position
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
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences
Who builds scoring momentum?
Louisiana Tech Edge
Louisiana Tech +0.50
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 4 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Louisiana Tech Edge
Louisiana Tech +6.7
GC Edge (season-to-date)
Teams with this edge win 58.3% of games historically
Based on 5 games this season
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on Louisiana Tech. Teams with this edge profile have covered 50.3% historically — essentially 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
5–11 (31%)
· Yr 2 at school
OC
Jake Brown
Yr 2
#1
DC
Scott Power
Yr 2
#1
UTEP
Dana Dimel #1
18–43 (30%)
· Yr 6 at school
OC
Scotty Ohara
Yr 1
#1
DC
Bradley Dale Peveto
Yr 3
#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 ✓
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 ✓