Air Force at San Diego State Week 13 College Football Matchup Air Force at San Diego State Matchup - Week 13
Sun, Nov 27 2022 · Week 13 · 🏟 Snapdragon Stadium San Diego, CA · Turf · 35,000 cap
Air Force✈ 809 mi-1 hr TZ
13 3
Final
📊 Punt & Rally Projection
Air Force
24
San Diego State
18
P&R Line Air Force -6
P&R Total O/U 42
Confidence 90 High
Vegas Air Force -2 · O/U 43.5
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
61.3%
Air Force wins
Lean
Game Control
75.9%
Air Force wins
Solid
Vegas Spread
Air Force -2
O/U 43.5
teamrankings
Advanced Stats
All 4 factors agree → Air Force · 83.1% ATS historically when all four align
↓ See full breakdown
Air Force 2022 Schedule
Air Force's 2022 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/3Air Force vs Northern Iowa-14.5W48–1746.5W48–17OY
Sat 9/10Air Force vs Colorado-17.5W41–1050.0W41–10OY
Fri 9/16Air Force at Wyoming-16.5L14–1747.0L14–17UN
Fri 9/23Air Force vs Nevada-24.0W48–2047.0W48–20OY
Sat 10/1Air Force vs Navy-14.0W13–1038.0W13–10UN
Sat 10/8Air Force at Utah State-11.5L27–3454.0L27–34ON
Sat 10/15Air Force at UNLV-10.0W42–750.0W42–7UY
Sat 10/22Air Force vs Boise State-2.5L14–1946.5L14–19UN
— Bye Week —
Sat 11/5Air Force vs Army-7.0W13–740.5W13–7UN
Sat 11/12Air Force vs New Mexico-21.0W35–337.5W35–3OY
Sat 11/19Air Force vs Colorado State-22.0W24–1243.0W24–12UN
Sat 11/26Air Force at San Diego State-2.0W13–343.5W13–3UY
Thu 12/22Air Force vs Baylor+3.5W30–1542.0W30–15OY
San Diego State 2022 Schedule
San Diego State's 2022 Schedule
DateMatchupSpreadTotalResultO/UCover
Sat 9/3San Diego State vs Arizona-6.0L20–3846.5L20–38ON
Sat 9/10San Diego State vs Idaho State-33.5W38–750.5W38–7UN
Sat 9/17San Diego State at Utah+21.5L7–3548.0L7–35UN
Sat 9/24San Diego State vs Toledo+2.5W17–1444.5W17–14UY
Fri 9/30San Diego State at Boise State+6.0L13–3538.0L13–35ON
Sat 10/8San Diego State vs Hawai'i-23.5W16–1448.5W16–14UN
— Bye Week —
Sat 10/22San Diego State at Nevada-7.5W23–736.0W23–7UY
Sat 10/29San Diego State at Fresno State+10.0L28–3243.5L28–32OY
Sat 11/5San Diego State vs UNLV-5.0W14–1047.0W14–10UN
Sat 11/12San Diego State vs San José State+2.5W43–2741.0W43–27OY
Fri 11/18San Diego State at New Mexico-15.0W34–1036.0W34–10OY
Sat 11/26San Diego State vs Air Force+2.0L3–1343.5L3–13UN
Sat 12/24San Diego State vs Middle Tennessee-7.0L23–2547.0L23–25ON
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) · 2022 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
Air Force
+0.354
San Diego State
+0.257
Air Force Edge
PPA Passing
Pass efficiency edge · Strong predictor
Air Force
+0.723
San Diego State
+0.557
Air Force Edge
Havoc Total
Def. disruption rate · Strong predictor
Air Force
0.197
San Diego State
0.190
TFLs, sacks, PBUs, forced fumbles — higher is better
Air Force Edge
Points Per Opp
Drive-finishing edge · Strong predictor
Air Force
+7.400
San Diego State
+6.695
Air Force Edge
Success Rate
Play consistency edge · Solid predictor
Air Force
+0.861
San Diego State
+0.782
Air Force Edge
Field Position
Avg start (lower=better) · Solid predictor
Air Force
70.4
San Diego State
69.7
Avg yards from own endzone to average start — lower is better · longer bar = better field position
San Diego State Edge
Advanced stats sourced from CFBD · 2022 season · Edges are matchup-adjusted (offense vs opponent defense)
Power Ratings
Team Power Ratings
Overall · Offense · Defense ratings · Updated as season progresses
San Diego State Rated Higher
Overall Power Rating
Air Force
-8.3
San Diego State
3.6
Offense Rating
Air Force
8.5
San Diego State
16.6
Defense Rating (lower = better defense)
Air Force
16.9
San Diego State
13.0
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
Air Force #37
1.30
San Diego State #98
0.70
Avg sequences allowed per game (lower is better)
Air Force #16
0.50
San Diego State #67
0.90
Air Force +0.60
CSS Edge (season-to-date)
Teams with this edge win 61.3% 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)
Air Force #1
77.3
San Diego State #1
56.8
Avg GC score allowed per game (lower is better)
Air Force #7
15.9
San Diego State #54
29.3
Air Force +20.5
GC Edge (season-to-date)
Teams with this edge win 75.9% of games historically
Based on 11 games this season
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
Air Force
Troy Calhoun #1
111–75 (60%) · Yr 16 at school
OC Mike Thiessen Yr 2 #1
DC Brian Knorr Yr 1 #1
Staff Rating
0.00 #1
San Diego State
Brady Hoke #1
16–6 (73%) · Yr 3 at school
OC Jeff Hecklinski Yr 2 #1
DC Kurt Mattix 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: 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