Sat, Oct 1 2022
·
Week 5
·
🏟 Allegiant Stadium
Las Vegas, NV
·
Turf
·
65,000 cap
New Mexico✈ 2,099 mi-1 hr TZ
Matchup Prediction
UNLV
has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor
UNLV entering this game.
Momentum Control
71.6%
UNLV wins
Solid
Game Control
67.1%
UNLV wins
Solid
Vegas Spread
UNLV -14
O/U 44.0
teamrankings
Advanced Stats
PPA + Success Rate agree → UNLV
· 73.9% ATS historically
↓ See full breakdown
New Mexico 2022 Schedule
New Mexico's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | New Mexico vs Maine | -6.0W41–0 | 42.5 | W41–0 | U | Y |
| Fri 9/9 | New Mexico vs Boise State | +17.0L14–31 | 43.5 | L14–31 | O | Y |
| Sat 9/17 | New Mexico vs UTEP | +2.0W27–10 | 38.0 | W27–10 | U | Y |
| Sat 9/24 | New Mexico at LSU | +31.5L0–38 | 44.0 | L0–38 | U | N |
| Fri 9/30 | New Mexico at UNLV | +14.0L20–31 | 44.0 | L20–31 | O | Y |
| Sat 10/8 | New Mexico vs Wyoming | +3.0L14–27 | 37.0 | L14–27 | O | N |
| Sat 10/15 | New Mexico at New Mexico State | -7.0L9–21 | 38.5 | L9–21 | U | N |
| Sat 10/22 | New Mexico vs Fresno State | +9.5L9–41 | 40.0 | L9–41 | O | N |
| — Bye Week — | ||||||
| Sat 11/5 | New Mexico at Utah State | +14.5L10–27 | 42.5 | L10–27 | U | N |
| Sat 11/12 | New Mexico at Air Force | +21.0L3–35 | 37.5 | L3–35 | O | N |
| Fri 11/18 | New Mexico vs San Diego State | +15.0L10–34 | 36.0 | L10–34 | O | N |
| Fri 11/25 | New Mexico at Colorado State | +7.5L0–17 | 36.0 | L0–17 | U | N |
UNLV 2022 Schedule
UNLV's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/27 | UNLV vs Idaho State | -23.0W52–21 | 50.0 | W52–21 | O | Y |
| Sat 9/10 | UNLV at California | +12.0L14–20 | 49.5 | L14–20 | U | Y |
| Sat 9/17 | UNLV vs North Texas | -2.5W58–27 | 62.5 | W58–27 | O | Y |
| Sat 9/24 | UNLV at Utah State | -3.0W34–24 | 61.5 | W34–24 | U | Y |
| Fri 9/30 | UNLV vs New Mexico | -14.0W31–20 | 44.0 | W31–20 | O | N |
| Fri 10/7 | UNLV at San José State | +6.5L7–40 | 51.5 | L7–40 | U | N |
| Sat 10/15 | UNLV vs Air Force | +10.0L7–42 | 50.0 | L7–42 | U | N |
| Sat 10/22 | UNLV at Notre Dame | +26.0L21–44 | 46.5 | L21–44 | O | Y |
| — Bye Week — | ||||||
| Sat 11/5 | UNLV at San Diego State | +5.0L10–14 | 47.0 | L10–14 | U | Y |
| Fri 11/11 | UNLV vs Fresno State | +9.0L30–37 | 61.5 | L30–37 | O | Y |
| Sat 11/19 | UNLV at Hawai'i | -11.0L25–31 | 56.5 | L25–31 | U | N |
| Sat 11/26 | UNLV vs Nevada | -12.5W27–22 | 49.0 | W27–22 | U | N |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2022 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
Both Agree
→ UNLV
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 · 2022 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?
UNLV Edge
UNLV +1.33
CSS Edge (season-to-date)
Teams with this edge win 71.6% of games historically
Based on 3 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
UNLV Edge
UNLV +17.3
GC Edge (season-to-date)
Teams with this edge win 67.1% of games historically
Based on 4 games this season
Actual Result
CSS Battle
UNLV
3 — 1 sequences
✓ Predicted correctly
GC Battle
UNLV
46.0 — 32.6 GC score
✓ Predicted correctly
Game Result
UNLV won by 11
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
Both metrics agree on UNLV with a moderate edge in both. This is the strongest ATS signal in our backtest: teams in this situation have covered 55.8% of the time (n=113).
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
New Mexico
Danny Gonzales #1
5–14 (26%)
· Yr 3 at school
OC
Derek Warehime
Yr 1
#1
DC
Rocky Long
Yr 2
#1
UNLV
Marcus Arroyo #1
2–16 (11%)
· Yr 3 at school
OC
Nick Holz
Yr 1
#1
DC
Keith Heyward
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: 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 ✓