Sat, Nov 30 2024
·
Week 14
·
🏟 Aggie Memorial Stadium
Las Cruces, NM
·
Turf
·
30,343 cap
Matchup Prediction
New Mexico State
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
New Mexico State entering this game.
Momentum Control
58.4%
New Mexico State wins
Lean
Game Control
50.6%
New Mexico State wins
Toss-up
Vegas Spread
New Mexico State -3.5
O/U 51.5
ESPN Bet
Advanced Stats
Advanced factors are split · No strong agreement signal
↓ See full breakdown
UTEP 2024 Schedule
UTEP's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | UTEP at Nebraska | +27.5L7–40 | 49.0 | L7–40 | U | N |
| Sat 9/7 | UTEP vs Southern Utah | -6.5L24–27 | 54.5 | L24–27 | U | N |
| Sat 9/14 | UTEP at Liberty | +23.5L10–28 | 57.5 | L10–28 | U | Y |
| Sat 9/21 | UTEP at Colorado State | +8.5L17–27 | 49.0 | L17–27 | U | N |
| — Bye Week — | ||||||
| Thu 10/3 | UTEP vs Sam Houston | +10.0L21–41 | 49.5 | L21–41 | O | N |
| Thu 10/10 | UTEP at Western Kentucky | +19.0L17–44 | 55.5 | L17–44 | O | N |
| Wed 10/16 | UTEP vs Florida International | +7.0W30–21 | 47.0 | W30–21 | O | Y |
| Tue 10/22 | UTEP at Louisiana Tech | +6.5L10–14 | 49.0 | L10–14 | U | Y |
| Sat 11/2 | UTEP vs Middle Tennessee | -2.0L13–20 | 48.0 | L13–20 | U | N |
| Sat 11/9 | UTEP vs Kennesaw State | -4.5W43–35 | 42.0 | W43–35 | O | Y |
| — Bye Week — | ||||||
| Sat 11/23 | UTEP at Tennessee | +41.5L0–56 | 54.0 | L0–56 | O | N |
| Sat 11/30 | UTEP at New Mexico State | +3.5W42–35 | 51.5 | W42–35 | O | Y |
New Mexico State 2024 Schedule
New Mexico State's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | New Mexico State vs Southeast Missouri State | -9.5W23–16 | 52.5 | W23–16 | U | N |
| Sat 9/7 | New Mexico State vs Liberty | +22.5L24–30 | 54.5 | L24–30 | U | Y |
| Sat 9/14 | New Mexico State at Fresno State | +19.5L0–48 | 48.5 | L0–48 | U | N |
| Sat 9/21 | New Mexico State at Sam Houston | +15.5L11–31 | 44.5 | L11–31 | U | N |
| Sat 9/28 | New Mexico State vs New Mexico | +9.5L40–50 | 54.0 | L40–50 | O | N |
| — Bye Week — | ||||||
| Wed 10/9 | New Mexico State at Jacksonville State | +21.0L13–54 | 58.5 | L13–54 | O | N |
| Tue 10/15 | New Mexico State vs Louisiana Tech | +12.5W33–30 | 49.0 | W33–30 | O | Y |
| — Bye Week — | ||||||
| Tue 10/29 | New Mexico State vs Florida International | +7.0L13–34 | 43.5 | L13–34 | O | N |
| Sat 11/9 | New Mexico State vs Western Kentucky | +18.0L28–41 | 53.5 | L28–41 | O | Y |
| Sat 11/16 | New Mexico State at Texas A&M | +38.5L3–38 | 54.5 | L3–38 | U | Y |
| Sat 11/23 | New Mexico State at Middle Tennessee | +3.5W36–21 | 54.0 | W36–21 | O | Y |
| Sat 11/30 | New Mexico State vs UTEP | -3.5L35–42 | 51.5 | L35–42 | O | N |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2024 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 · 2024 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?
New Mexico State Edge
New Mexico State +0.20
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?
New Mexico State Edge
New Mexico State +2.2
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 11 games this season
Actual Result
CSS Battle
New Mexico State
4 — 1 sequences
✓ Predicted correctly
GC Battle
UTEP
41.7 — 43.7 GC score
✗ Predicted incorrectly
Game Result
UTEP won by 7
✗ Model missed it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on New Mexico State, but the GC edge is small. When metrics agree but GC is near-neutral, the agreed-upon team has covered only 46.7% of the time historically (n=224) — potentially a fade signal.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
UTEP
Scotty Walden #1
0–0 (0%)
· Yr 1 at school
OC
Jake Brown
Yr 1
#1
DC
J. J. Clark
Yr 1
#1
New Mexico State
Tony Sanchez #1
0–0 (0%)
· Yr 1 at school
OC
Tyler Wright
Yr 1
#1
DC
Joe Morris
Yr 1
#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 ✓
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 ✓

