Wyoming at UNLV Week 11 College Football Matchup Wyoming at UNLV Matchup - Week 11
Sat, Nov 11 2023 · Week 11 · 🏟 Allegiant Stadium Las Vegas, NV · Turf · 65,000 cap
Wyoming✈ 1,861 mi-1 hr TZ
Away
14 34
Final
Home
📊 Punt & Rally Projection
Wyoming
23
UNLV
28
P&R Line UNLV -5
P&R Total O/U 51.5
Confidence 86 High
Vegas UNLV -2.5 · O/U 48.5
Matchup Prediction
UNLV has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor UNLV entering this game.
Momentum Control
58.4%
UNLV wins
Lean
Game Control
67.1%
UNLV wins
Solid
Vegas Spread
UNLV -2.5
O/U 48.5
DraftKings
Advanced Stats
PPA + Success Rate agree → UNLV · 73.9% ATS historically
↓ See full breakdown
Wyoming 2023 Schedule
Wyoming's 2023 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/2Wyoming vs Texas Tech+13.0W35–3350.5W35–33OY
Sat 9/9Wyoming vs Portland State-28.0W31–1751.0W31–17UN
Sat 9/16Wyoming at Texas+31.0L10–3148.5L10–31UY
Sat 9/23Wyoming vs App State-3.0W22–1945.0W22–19UN
Sat 9/30Wyoming vs New Mexico-14.5W35–2640.5W35–26ON
Sat 10/7Wyoming vs Fresno State+5.5W24–1943.0W24–19UY
Sat 10/14Wyoming at Air Force+12.5L27–3442.0L27–34OY
— Bye Week —
Sat 10/28Wyoming at Boise State+4.5L7–3248.5L7–32UN
Fri 11/3Wyoming vs Colorado State-6.0W24–1541.0W24–15UY
Fri 11/10Wyoming at UNLV+2.5L14–3448.5L14–34UN
Sat 11/18Wyoming vs Hawai'i-13.5W42–945.5W42–9OY
Sat 11/25Wyoming at Nevada-11.0W42–642.0W42–6OY
Sat 12/30Wyoming vs Toledo-4.5W16–1543.5W16–15UN
UNLV 2023 Schedule
UNLV's 2023 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/2UNLV vs Bryant-16.5W44–1466.0W44–14UY
Sat 9/9UNLV at Michigan+38.0L7–3557.5L7–35UY
Sat 9/16UNLV vs Vanderbilt+4.5W40–3756.5W40–37OY
Sat 9/23UNLV at UTEP+1.0W45–2849.5W45–28OY
Sat 9/30UNLV vs Hawai'i-10.5W44–2058.5W44–20OY
— Bye Week —
Sat 10/14UNLV at Nevada-7.5W45–2751.5W45–27OY
Sat 10/21UNLV vs Colorado State-6.5W25–2360.0W25–23UN
Sat 10/28UNLV at Fresno State+10.5L24–3156.0L24–31UY
Sat 11/4UNLV at New Mexico-10.0W56–1461.0W56–14OY
Fri 11/10UNLV vs Wyoming-2.5W34–1448.5W34–14UY
Sat 11/18UNLV at Air Force+2.5W31–2746.5W31–27OY
Sat 11/25UNLV vs San José State-3.5L31–3758.5L31–37ON
Sat 12/2UNLV vs Boise State+2.5L20–4458.0L20–44ON
Tue 12/26UNLV vs Kansas+8.0L36–4964.5L36–49ON
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2023 season
UNLV 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
→ UNLV
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
Wyoming #71
+0.449
UNLV #38
+0.456
UNLV Edge
PPA Passing
Pass efficiency edge · Strong predictor
Wyoming #86
+0.711
UNLV #30
+0.657
Wyoming Edge
Havoc Total
Def. disruption rate · Strong predictor
Wyoming #118
0.137
UNLV #125
0.125
TFLs, sacks, PBUs, forced fumbles — higher is better
Wyoming Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Wyoming #60
+8.047
UNLV #40
+7.635
Wyoming Edge
Success Rate
Play consistency edge · Solid predictor
Wyoming #56
+0.848
UNLV #58
+0.851
UNLV Edge
Field Position
Avg start (lower=better) · Solid predictor
Wyoming #89
71.1
UNLV #9
66.9
Avg yards from own endzone to average start — lower is better · longer bar = better field position
UNLV 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
UNLV Rated Higher
Overall Power Rating
Wyoming
-10.7
UNLV
2.0
Offense Rating
Wyoming
13.3
UNLV
17.2
Defense Rating (lower = better defense)
Wyoming
24.0
UNLV
15.2
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? UNLV Edge
Avg sequences created per game
Wyoming #51
0.88
UNLV #42
1.75
Avg sequences allowed per game (lower is better)
Wyoming #92
1.13
UNLV #110
1.13
UNLV +0.88
CSS Edge (season-to-date)
Teams with this edge win 58.4% of games historically
Based on 8 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? UNLV Edge
Avg GC score per game (offense)
Wyoming #1
45.2
UNLV #1
61.1
Avg GC score allowed per game (lower is better)
Wyoming #56
36.8
UNLV #61
26.1
UNLV +16.0
GC Edge (season-to-date)
Teams with this edge win 67.1% of games historically
Based on 9 games this season
Actual Result
CSS Battle
UNLV
4 — 0 sequences
✓ Predicted correctly
GC Battle
UNLV
88.7 — 6.8 GC score
✓ Predicted correctly
Game Result
UNLV won by 20
✓ 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 solid GC edge. Teams with this profile have covered 53.0% of the time historically (n=330) — a mild lean.

ATS data is informational only. Past cover rates do not guarantee future results.

Coaching Matchup
Wyoming
Craig Bohl #1
54–57 (49%) · Yr 10 at school
OC Tim Polasek Yr 3 #1
DC Jay Sawvel Yr 3 #1
Staff Rating
0.00 #1
UNLV
Barry Odom #1
2–1 (67%) · Yr 1 at school
OC Brennan Marion Yr 1 #1
DC Michael Scherer 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