Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors Nevada,
while Game Control favors Air Force.
Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
61.3%
Nevada wins
Lean
Game Control
76%
Air Force wins
Strong
Vegas Spread
Air Force -24
O/U 47.0
teamrankings
Advanced Stats
All 4 factors agree → Air Force
· 83.1% ATS historically when all four align
↓ See full breakdown
Nevada 2022 Schedule
Nevada's 2022 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/27 | Nevada at New Mexico State | -7.0W23–12 | 48.0 | W23–12 | U | Y |
| Sat 9/3 | Nevada vs Texas State | +2.0W38–14 | 51.5 | W38–14 | O | Y |
| Sat 9/10 | Nevada vs Incarnate Word | -4.0L41–55 | 61.5 | L41–55 | O | N |
| Sat 9/17 | Nevada at Iowa | +24.0L0–27 | 39.0 | L0–27 | U | N |
| Fri 9/23 | Nevada at Air Force | +24.0L20–48 | 47.0 | L20–48 | O | N |
| — Bye Week — | ||||||
| Fri 10/7 | Nevada vs Colorado State | -3.5L14–17 | 44.0 | L14–17 | U | N |
| Sat 10/15 | Nevada at Hawai'i | -6.5L16–31 | 51.5 | L16–31 | U | N |
| Sat 10/22 | Nevada vs San Diego State | +7.5L7–23 | 36.0 | L7–23 | U | N |
| Sat 10/29 | Nevada at San José State | +24.5L28–35 | 44.5 | L28–35 | O | Y |
| — Bye Week — | ||||||
| Sat 11/12 | Nevada vs Boise State | +21.0L3–41 | 47.0 | L3–41 | U | N |
| Sat 11/19 | Nevada vs Fresno State | +22.5L14–41 | 54.0 | L14–41 | O | N |
| Sat 11/26 | Nevada at UNLV | +12.5L22–27 | 49.0 | L22–27 | U | Y |
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?
Nevada Edge
Nevada +0.33
CSS Edge (season-to-date)
Teams with this edge win 61.3% of games historically
Based on 2 games this season
Game Control (GC)
Win Probability Dominance
Who controls games start to finish?
Air Force Edge
Air Force +33.3
GC Edge (season-to-date)
Teams with this edge win 76% of games historically
Based on 3 games this season
Actual Result
CSS Battle
Air Force
4 — 0 sequences
✗ Predicted incorrectly
GC Battle
Air Force
95.4 — 1.4 GC score
✓ Predicted correctly
Game Result
Air Force won by 28
Spread Context
ATS Historical Context
Based on 2021–2025 backtest · FBS vs FBS · Regular season
CSS and GC disagree on this matchup. When the metrics split, historical cover rates are essentially random — treat this as a coin flip against the spread.
ATS data is informational only. Past cover rates do not guarantee future results.
Coaching Matchup
Nevada
Ken Wilson #1
0–0 (0%)
· Yr 1 at school
OC
Derek Sage
Yr 1
#1
DC
Kwame Agyeman
Yr 1
#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: 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 ✓