UNLV at Air Force Week 12 College Football Matchup UNLV at Air Force Matchup - Week 12
Sat, Nov 18 2023 · Week 12 · 🏟 Falcon Stadium Colorado Springs, CO · Turf · 46,692 cap
UNLV✈ 596 mi+1 hr TZ
Away
31 27
Final
Home
📊 Punt & Rally Projection
UNLV
24
Air Force
28
P&R Line Air Force -4.5
P&R Total O/U 52
Confidence 86 High
Vegas Air Force -2.5 · O/U 46.5
Matchup Prediction
UNLV has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor UNLV entering this game.
Momentum Control
61.3%
UNLV wins
Lean
Game Control
58.3%
UNLV wins
Lean
Vegas Spread
Air Force -2.5
O/U 46.5
ESPN Bet
Advanced Stats
PPA + Success Rate agree → Air Force · 73.9% ATS historically
↓ See full breakdown
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
Air Force 2023 Schedule
Air Force's 2023 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/2Air Force vs Robert Morris-47.0W42–751.0W42–7UN
Sat 9/9Air Force vs Sam Houston-13.5W13–336.5W13–3UN
Fri 9/15Air Force vs Utah State-9.0W39–2145.5W39–21OY
Fri 9/22Air Force at San José State-6.0W45–2045.5W45–20OY
Sat 9/30Air Force vs San Diego State-10.5W49–1043.5W49–10OY
— Bye Week —
Sat 10/14Air Force vs Wyoming-12.5W34–2742.0W34–27ON
Sat 10/21Air Force at Navy-11.0W17–634.0W17–6UN
Sat 10/28Air Force at Colorado State-14.5W30–1347.0W30–13UY
Sat 11/4Air Force vs Army-18.5L3–2332.0L3–23UN
Sat 11/11Air Force at Hawai'i-22.5L13–2747.5L13–27UN
Sat 11/18Air Force vs UNLV-2.5L27–3146.5L27–31ON
Fri 11/24Air Force at Boise State+6.5L19–2744.5L19–27ON
Sat 12/23Air Force vs James Madison-2.5W31–2144.5W31–21OY
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2023 season
Air Force 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
→ Air Force
Individual Factors — Ranked by Predictive Strength
PPA Overall
Points added per play · Elite predictor
UNLV #38
+0.390
Air Force #26
+0.547
Air Force Edge
PPA Passing
Pass efficiency edge · Strong predictor
UNLV #30
+0.584
Air Force #9
+0.987
Air Force Edge
Havoc Total
Def. disruption rate · Strong predictor
UNLV #125
0.125
Air Force #113
0.144
TFLs, sacks, PBUs, forced fumbles — higher is better
Air Force Edge
Points Per Opp
Drive-finishing edge · Strong predictor
UNLV #40
+8.154
Air Force #52
+8.133
UNLV Edge
Success Rate
Play consistency edge · Solid predictor
UNLV #58
+0.818
Air Force #31
+0.872
Air Force Edge
Field Position
Avg start (lower=better) · Solid predictor
UNLV #9
66.9
Air Force #36
69.4
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
UNLV
2.0
Air Force
-8.3
Offense Rating
UNLV
17.2
Air Force
8.5
Defense Rating (lower = better defense)
UNLV
15.2
Air Force
16.9
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
UNLV #42
2.00
Air Force #7
1.67
Avg sequences allowed per game (lower is better)
UNLV #110
1.00
Air Force #8
0.67
UNLV +0.33
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 9 games this season
Game Control (GC)
Win Probability Dominance Who controls games start to finish? UNLV Edge
Avg GC score per game (offense)
UNLV #1
63.9
Air Force #1
53.5
Avg GC score allowed per game (lower is better)
UNLV #61
24.1
Air Force #46
29.0
UNLV +10.4
GC Edge (season-to-date)
Teams with this edge win 58.3% of games historically
Based on 10 games this season
Actual Result
CSS Battle
Air Force
3 — 1 sequences
✗ Predicted incorrectly
GC Battle
UNLV
37.5 — 46.4 GC score
✓ Predicted correctly
Game Result
UNLV won by 4
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on UNLV. Teams with this edge profile have covered 50.3% historically — essentially a coin flip against the spread.

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

Coaching Matchup
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
Air Force
Troy Calhoun #1
124–78 (61%) · Yr 17 at school
OC Mike Thiessen Yr 3 #1
DC Brian Knorr Yr 2 #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