UNLV at Air Force Week 13 College Football Matchup UNLV at Air Force Matchup - Week 13
Fri, Nov 26 2021 · Week 13 · 🏟 Falcon Stadium Colorado Springs, CO · Turf · 46,692 cap
UNLV✈ 596 mi+1 hr TZ
Away
14 48
Final
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📊 Punt & Rally Projection
UNLV
14
AFA -18.5
Air Force
38
P&R Line Air Force -23.5
P&R Total O/U 51.5
Confidence 90 High
Vegas Air Force -18.5 · O/U 49.5
Matchup Prediction
Air Force has the edge in this matchup
Both Momentum Control (CSS) and Game Control metrics favor Air Force entering this game.
Momentum Control
58.4%
Air Force wins
Lean
Game Control
76%
Air Force wins
Strong
Vegas Spread
Air Force -18.5
O/U 49.5
teamrankings
Advanced Stats
All 4 factors agree → Air Force · 83.1% ATS historically when all four align
↓ See full breakdown
UNLV 2021 Schedule
UNLV's 2021 Schedule
DateMatchupSpreadTotalResultO/UCover
Thu 9/2UNLV vs Eastern Washington+2.0L33–3566.0L33–35OY
Sat 9/11UNLV at Arizona State+34.5L10–3755.5L10–37UY
Sat 9/18UNLV vs Iowa State+32.0L3–4853.0L3–48UN
Fri 9/24UNLV at Fresno State+30.0L30–3859.0L30–38OY
Sat 10/2UNLV at UTSA+21.5L17–2455.5L17–24UY
— Bye Week —
Sat 10/16UNLV vs Utah State+7.5L24–2864.0L24–28UY
Thu 10/21UNLV vs San José State+6.0L20–2744.0L20–27ON
Fri 10/29UNLV at Nevada+19.0L20–5158.0L20–51ON
Sat 11/6UNLV at New Mexico+1.5W31–1745.0W31–17OY
Sat 11/13UNLV vs Hawai'i+3.5W27–1355.5W27–13UY
Fri 11/19UNLV vs San Diego State+11.0L20–2841.0L20–28OY
Fri 11/26UNLV at Air Force+18.5L14–4849.5L14–48ON
Air Force 2021 Schedule
Air Force's 2021 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/4Air Force vs Lafayette-40.5W35–1449.5W35–14UN
Sat 9/11Air Force at Navy-6.0W23–340.0W23–3UY
Sat 9/18Air Force vs Utah State-9.0L45–4954.0L45–49ON
Sat 9/25Air Force vs Florida Atlantic-3.5W31–754.0W31–7UY
Sat 10/2Air Force at New Mexico-11.5W38–1046.0W38–10OY
Sat 10/9Air Force vs Wyoming-5.5W24–1446.5W24–14UY
Sat 10/16Air Force at Boise State+3.0W24–1752.0W24–17UY
Sat 10/23Air Force vs San Diego State-3.0L14–2038.5L14–20UN
— Bye Week —
Sat 11/6Air Force vs Army-2.5L14–2137.5L14–21UN
Sat 11/13Air Force at Colorado State-3.0W35–2145.0W35–21OY
Fri 11/19Air Force at Nevada-1.5W41–3953.5W41–39OY
Fri 11/26Air Force vs UNLV-18.5W48–1449.5W48–14OY
Tue 12/28Air Force vs Louisville-1.0W31–2855.0W31–28OY
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2021 season
Air Force PPA Edge
Agreement Signals — When All Metrics Agree
Elite · 83.1% ATS
PPA + PPO + SR + Havoc
All 4 Agree
→ Air Force
Elite · 82.4% ATS
PPA + PPO + Havoc
3 Agree
→ Air Force
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
+0.317
Air Force
+0.525
Air Force Edge
PPA Passing
Pass efficiency edge · Strong predictor
UNLV
+0.450
Air Force
+0.924
Air Force Edge
Havoc Total
Def. disruption rate · Strong predictor
UNLV
0.184
Air Force
0.201
TFLs, sacks, PBUs, forced fumbles — higher is better
Air Force Edge
Points Per Opp
Drive-finishing edge · Strong predictor
UNLV
+7.777
Air Force
+8.580
Air Force Edge
Success Rate
Play consistency edge · Solid predictor
UNLV
+0.737
Air Force
+0.895
Air Force Edge
Field Position
Avg start (lower=better) · Solid predictor
UNLV
72.5
Air Force
69.8
Avg yards from own endzone to average start — lower is better · longer bar = better field position
Air Force Edge
Advanced stats sourced from CFBD · 2021 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
-5.2
Offense Rating
UNLV
17.2
Air Force
12.5
Defense Rating (lower = better defense)
UNLV
15.2
Air Force
17.7
Power ratings updated throughout the season as results accumulate
Momentum Control (CSS)
Consecutive Scoring Sequences Who builds scoring momentum? Air Force Edge
Avg sequences created per game
UNLV #67
0.90
Air Force #25
1.30
Avg sequences allowed per game (lower is better)
UNLV #131
1.60
Air Force #20
0.70
Air Force +0.40
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? Air Force Edge
Avg GC score per game (offense)
UNLV #1
22.2
Air Force #1
68.9
Avg GC score allowed per game (lower is better)
UNLV #112
60.7
Air Force #8
18.9
Air Force +46.7
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 11 games this season
Actual Result
CSS Battle
Air Force
5 — 0 sequences
✓ Predicted correctly
GC Battle
Air Force
98.8 — 0.9 GC score
✓ Predicted correctly
Game Result
Air Force won by 34
✓ Model called it
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season

Both metrics agree on Air Force 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
UNLV
Marcus Arroyo #1
0–9 (0%) · Yr 2 at school
OC Glenn Thomas Yr 1 #1
DC Peter Hansen Yr 1 #1
Staff Rating
0.00 #1
Air Force
Troy Calhoun #1
104–73 (59%) · Yr 15 at school
OC Mike Thiessen Yr 1 #1
DC John Rudzinski 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