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
76%
UNLV wins
Strong
Vegas Spread
UNLV -17.5
O/U 54.5
ESPN Bet
Advanced Stats
All 4 factors agree → UNLV
· 83.1% ATS historically when all four align
↓ See full breakdown
Nevada 2024 Schedule
Nevada's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/24 | Nevada vs SMU | +28.0L24–29 | 55.5 | L24–29 | U | Y |
| Sat 8/31 | Nevada at Troy | +7.5W28–26 | 44.5 | W28–26 | O | Y |
| Sat 9/7 | Nevada vs Georgia Southern | -1.5L17–20 | 56.5 | L17–20 | U | N |
| Sat 9/14 | Nevada at Minnesota | +17.5L0–27 | 44.5 | L0–27 | U | N |
| Sat 9/21 | Nevada vs Eastern Washington | -13.5W49–16 | 54.5 | W49–16 | O | Y |
| — Bye Week — | ||||||
| Sat 10/5 | Nevada at San José State | +7.0L31–35 | 51.5 | L31–35 | O | Y |
| Sat 10/12 | Nevada vs Oregon State | +3.0W42–37 | 47.0 | W42–37 | O | Y |
| Fri 10/18 | Nevada vs Fresno State | +3.0L21–24 | 50.0 | L21–24 | U | Y |
| Sat 10/26 | Nevada at Hawai'i | +2.5L13–34 | 42.0 | L13–34 | O | N |
| Sat 11/2 | Nevada vs Colorado State | +2.0L21–38 | 45.5 | L21–38 | O | N |
| Sat 11/9 | Nevada at Boise State | +23.5L21–28 | 60.5 | L21–28 | U | Y |
| — Bye Week — | ||||||
| Sat 11/23 | Nevada vs Air Force | -3.0L19–22 | 44.5 | L19–22 | U | N |
| Sat 11/30 | Nevada at UNLV | +17.5L14–38 | 54.5 | L14–38 | U | N |
UNLV 2024 Schedule
UNLV's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | UNLV at Houston | +3.0W27–7 | 56.0 | W27–7 | U | Y |
| Sat 9/7 | UNLV vs Utah Tech | -41.5W72–14 | 55.5 | W72–14 | O | Y |
| Fri 9/13 | UNLV vs Kansas | +7.0W23–20 | 57.0 | W23–20 | U | Y |
| — Bye Week — | ||||||
| Sat 9/28 | UNLV vs Fresno State | -2.5W59–14 | 51.0 | W59–14 | O | Y |
| Fri 10/4 | UNLV vs Syracuse | -5.5L41–44 | 55.5 | L41–44 | O | N |
| Fri 10/11 | UNLV at Utah State | -19.0W50–34 | 67.5 | W50–34 | O | N |
| Sat 10/19 | UNLV at Oregon State | -6.5W33–25 | 61.0 | W33–25 | U | Y |
| Fri 10/25 | UNLV vs Boise State | +4.0L24–29 | 64.0 | L24–29 | U | N |
| — Bye Week — | ||||||
| Sat 11/9 | UNLV at Hawai'i | -12.0W29–27 | 51.5 | W29–27 | O | N |
| Sat 11/16 | UNLV vs San Diego State | -22.0W41–20 | 55.5 | W41–20 | O | N |
| Fri 11/22 | UNLV at San José State | -7.5W27–16 | 59.5 | W27–16 | U | Y |
| Sat 11/30 | UNLV vs Nevada | -17.5W38–14 | 54.5 | W38–14 | U | Y |
| Fri 12/6 | UNLV at Boise State | +3.5L7–21 | 57.5 | L7–21 | U | N |
| Wed 12/18 | UNLV vs California | -3.0W24–13 | 45.0 | W24–13 | U | Y |
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
All 4 Agree
→ UNLV
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ UNLV
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 · 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?
UNLV Edge
UNLV +0.95
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?
UNLV Edge
UNLV +31.2
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 11 games this season
Actual Result
CSS Battle
UNLV
1 — 0 sequences
✓ Predicted correctly
GC Battle
UNLV
83.2 — 6.3 GC score
✓ Predicted correctly
Game Result
UNLV won by 24
✓ 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 large edge. Historically, dominant teams like this are fully priced into the spread — the agreed-upon team covers just 50.2% of the time. The metrics predict game control better than they beat the number.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Nevada
Jeff Choate #1
0–0 (0%)
· Yr 1 at school
OC
Matt Lubick
Yr 1
#1
DC
Kane Ioane
Yr 1
#1
UNLV
Barry Odom #1
9–5 (64%)
· Yr 2 at school
OC
Brennan Marion
Yr 2
#1
DC
Michael Scherer
Yr 2
#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 ✓