Sat, Nov 12 2022
·
Week 11
·
🏟 Falcon Stadium
Colorado Springs, CO
·
Turf
·
46,692 cap
New Mexico✈ 288 miSame TZ
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
71.6%
Air Force wins
Solid
Game Control
76%
Air Force wins
Strong
Vegas Spread
Air Force -21
O/U 37.5
teamrankings
Advanced Stats
All 4 factors agree → Air Force
· 83.1% ATS historically when all four align
↓ See full breakdown
New Mexico 2022 Schedule
New Mexico's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | New Mexico vs Maine | -6.0W41–0 | 42.5 | W41–0 | U | Y |
| Fri 9/9 | New Mexico vs Boise State | +17.0L14–31 | 43.5 | L14–31 | O | Y |
| Sat 9/17 | New Mexico vs UTEP | +2.0W27–10 | 38.0 | W27–10 | U | Y |
| Sat 9/24 | New Mexico at LSU | +31.5L0–38 | 44.0 | L0–38 | U | N |
| Fri 9/30 | New Mexico at UNLV | +14.0L20–31 | 44.0 | L20–31 | O | Y |
| Sat 10/8 | New Mexico vs Wyoming | +3.0L14–27 | 37.0 | L14–27 | O | N |
| Sat 10/15 | New Mexico at New Mexico State | -7.0L9–21 | 38.5 | L9–21 | U | N |
| Sat 10/22 | New Mexico vs Fresno State | +9.5L9–41 | 40.0 | L9–41 | O | N |
| — Bye Week — | ||||||
| Sat 11/5 | New Mexico at Utah State | +14.5L10–27 | 42.5 | L10–27 | U | N |
| Sat 11/12 | New Mexico at Air Force | +21.0L3–35 | 37.5 | L3–35 | O | N |
| Fri 11/18 | New Mexico vs San Diego State | +15.0L10–34 | 36.0 | L10–34 | O | N |
| Fri 11/25 | New Mexico at Colorado State | +7.5L0–17 | 36.0 | L0–17 | U | N |
Air Force 2022 Schedule
Air Force's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 9/3 | Air Force vs Northern Iowa | -14.5W48–17 | 46.5 | W48–17 | O | Y |
| Sat 9/10 | Air Force vs Colorado | -17.5W41–10 | 50.0 | W41–10 | O | Y |
| Fri 9/16 | Air Force at Wyoming | -16.5L14–17 | 47.0 | L14–17 | U | N |
| Fri 9/23 | Air Force vs Nevada | -24.0W48–20 | 47.0 | W48–20 | O | Y |
| Sat 10/1 | Air Force vs Navy | -14.0W13–10 | 38.0 | W13–10 | U | N |
| Sat 10/8 | Air Force at Utah State | -11.5L27–34 | 54.0 | L27–34 | O | N |
| Sat 10/15 | Air Force at UNLV | -10.0W42–7 | 50.0 | W42–7 | U | Y |
| Sat 10/22 | Air Force vs Boise State | -2.5L14–19 | 46.5 | L14–19 | U | N |
| — Bye Week — | ||||||
| Sat 11/5 | Air Force vs Army | -7.0W13–7 | 40.5 | W13–7 | U | N |
| Sat 11/12 | Air Force vs New Mexico | -21.0W35–3 | 37.5 | W35–3 | O | Y |
| Sat 11/19 | Air Force vs Colorado State | -22.0W24–12 | 43.0 | W24–12 | U | N |
| Sat 11/26 | Air Force at San Diego State | -2.0W13–3 | 43.5 | W13–3 | U | Y |
| Thu 12/22 | Air Force vs Baylor | +3.5W30–15 | 42.0 | W30–15 | O | Y |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2022 season
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
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 · 2022 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?
Air Force Edge
Air Force +1.00
CSS Edge (season-to-date)
Teams with this edge win 71.6% of games historically
Based on 8 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Air Force Edge
Air Force +39.3
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 9 games this season
Actual Result
CSS Battle
Air Force
1 — 0 sequences
✓ Predicted correctly
GC Battle
Air Force
98.3 — 0.9 GC score
✓ Predicted correctly
Game Result
Air Force won by 32
✓ 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
New Mexico
Danny Gonzales #1
5–14 (26%)
· Yr 3 at school
OC
Derek Warehime
Yr 1
#1
DC
Rocky Long
Yr 2
#1
Air Force
Troy Calhoun #1
111–75 (60%)
· Yr 16 at school
OC
Mike Thiessen
Yr 2
#1
DC
Brian Knorr
Yr 1
#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 ✓
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 ✓