Vanderbilt at UNLV Week 3 College Football Matchup Vanderbilt at UNLV Matchup - Week 3
Sat, Sep 16 2023 · Week 3 · 🏟 Allegiant Stadium Las Vegas, NV · Turf · 65,000 cap
Vanderbilt✈ 1,124 mi-2 hr TZ
37 40
Final
Home
📊 Punt & Rally Projection
Vanderbilt
22
UNLV +4.5
UNLV
37
P&R Line UNLV -15
P&R Total O/U 59
Confidence 86 High
Vegas Vanderbilt -4.5 · O/U 56.5
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
49.4%
Vanderbilt wins
Toss-up
Vegas Spread
Vanderbilt -4.5
O/U 56.5
William Hill (New Jersey)
Advanced Stats
PPA + Success Rate agree → UNLV · 73.9% ATS historically
↓ See full breakdown
🚌 Vanderbilt 2nd straight Road Game
Vanderbilt 2023 Schedule
Vanderbilt's 2023 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 8/26Vanderbilt vs Hawai'i-17.0W35–2854.5W35–28ON
Sat 9/2Vanderbilt vs Alabama A&M-35.0W47–1353.5W47–13ON
Sat 9/9Vanderbilt at Wake Forest+9.5L20–3655.0L20–36ON
Sat 9/16Vanderbilt at UNLV-4.5L37–4056.5L37–40ON
Sat 9/23Vanderbilt vs Kentucky+13.5L28–4550.0L28–45ON
Sat 9/30Vanderbilt vs Missouri+14.0L21–3853.5L21–38ON
Sat 10/7Vanderbilt at Florida+18.0L14–3851.0L14–38ON
Sat 10/14Vanderbilt vs Georgia+32.5L20–3755.0L20–37OY
— Bye Week —
Sat 10/28Vanderbilt at Ole Miss+24.0L7–3362.0L7–33UN
Sat 11/4Vanderbilt vs Auburn+12.5L15–3150.0L15–31UN
Sat 11/11Vanderbilt at South Carolina+13.5L6–4753.5L6–47UN
— Bye Week —
Sat 11/25Vanderbilt at Tennessee+27.0L24–4858.0L24–48OY
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
Vanderbilt #127
+0.313
UNLV #38
+0.592
UNLV Edge
PPA Passing
Pass efficiency edge · Strong predictor
Vanderbilt #113
+0.623
UNLV #30
+0.808
UNLV Edge
Havoc Total
Def. disruption rate · Strong predictor
Vanderbilt #101
0.148
UNLV #125
0.125
TFLs, sacks, PBUs, forced fumbles — higher is better
Vanderbilt Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Vanderbilt #50
+8.173
UNLV #40
+8.305
UNLV Edge
Success Rate
Play consistency edge · Solid predictor
Vanderbilt #123
+0.781
UNLV #58
+0.874
UNLV Edge
Field Position
Avg start (lower=better) · Solid predictor
Vanderbilt #61
70.5
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
Vanderbilt Rated Higher
Overall Power Rating
Vanderbilt
3.7
UNLV
2.0
Offense Rating
Vanderbilt
16.6
UNLV
17.2
Defense Rating (lower = better defense)
Vanderbilt
12.8
UNLV
15.2
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum?
Avg sequences created per game
Vanderbilt #86
0.00
UNLV #42
0.00
Avg sequences allowed per game (lower is better)
Vanderbilt #114
0.00
UNLV #110
1.00
Vanderbilt +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? Vanderbilt Edge
Avg GC score per game (offense)
Vanderbilt #1
52.8
UNLV #1
49.7
Avg GC score allowed per game (lower is better)
Vanderbilt #134
32.4
UNLV #61
46.0
Vanderbilt +3.1
GC Edge (season-to-date)
Teams with this edge win 49.4% of games historically
Based on 2 games this season
Actual Result
CSS Battle
Vanderbilt
2 — 3 sequences
GC Battle
UNLV
38.1 — 32.8 GC score
✗ Predicted incorrectly
Game Result
UNLV won by 3
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

CSS and GC disagree on this matchup. When the metrics split, historical cover rates are essentially random — treat this as a coin flip against the spread.

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

Coaching Matchup
Vanderbilt
Clark Lea #1
9–19 (32%) · Yr 3 at school
OC Joey Lynch Yr 2 #1
DC Nick Howell Yr 2 #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