Matchup Prediction
Metrics disagree on this matchup
Momentum Control favors Air Force,
while Game Control favors Nevada.
Split signals historically show weaker predictive confidence — treat as a toss-up.
⚡ Split Signal — Metrics Disagree
Momentum Control
61.3%
Air Force wins
Lean
Game Control
50.6%
Nevada wins
Toss-up
Vegas Spread
Nevada -3
O/U 44.5
DraftKings
Advanced Stats
Advanced factors are split · No strong agreement signal
↓ See full breakdown
Air Force 2024 Schedule
Air Force's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/31 | Air Force vs Merrimack | -30.5W21–6 | 47.5 | W21–6 | U | N |
| Sat 9/7 | Air Force vs San José State | -1.5L7–17 | 43.5 | L7–17 | U | N |
| Sat 9/14 | Air Force at Baylor | +17.5L3–31 | 40.5 | L3–31 | U | N |
| — Bye Week — | ||||||
| Sat 9/28 | Air Force at Wyoming | -4.0L19–31 | 33.5 | L19–31 | O | N |
| Sat 10/5 | Air Force vs Navy | +10.0L7–34 | 37.0 | L7–34 | O | N |
| Sat 10/12 | Air Force at New Mexico | +7.0L37–52 | 56.0 | L37–52 | O | N |
| Sat 10/19 | Air Force vs Colorado State | +6.0L13–21 | 43.5 | L13–21 | U | N |
| — Bye Week — | ||||||
| Sat 11/2 | Air Force at Army | +18.0L3–20 | 38.5 | L3–20 | U | Y |
| Sat 11/9 | Air Force vs Fresno State | +9.5W36–28 | 40.5 | W36–28 | O | Y |
| Sat 11/16 | Air Force vs Oregon State | +3.0W28–0 | 44.5 | W28–0 | U | Y |
| Sat 11/23 | Air Force at Nevada | +3.0W22–19 | 44.5 | W22–19 | U | Y |
| Sat 11/30 | Air Force at San Diego State | -6.5W31–20 | 43.5 | W31–20 | O | Y |
Nevada 2024 Schedule
Nevada's 2024 Schedule
| Date | Matchup | Spread | Total | Result | O/U | Cover |
|---|---|---|---|---|---|---|
| Sat 8/24 | Nevada vs SMU | +28.0L24–29 | 55.5 | L24–29 | U | Y |
| Sat 8/31 | Nevada at Troy | +7.5W28–26 | 44.5 | W28–26 | O | Y |
| Sat 9/7 | Nevada vs Georgia Southern | -1.5L17–20 | 56.5 | L17–20 | U | N |
| Sat 9/14 | Nevada at Minnesota | +17.5L0–27 | 44.5 | L0–27 | U | N |
| Sat 9/21 | Nevada vs Eastern Washington | -13.5W49–16 | 54.5 | W49–16 | O | Y |
| — Bye Week — | ||||||
| Sat 10/5 | Nevada at San José State | +7.0L31–35 | 51.5 | L31–35 | O | Y |
| Sat 10/12 | Nevada vs Oregon State | +3.0W42–37 | 47.0 | W42–37 | O | Y |
| Fri 10/18 | Nevada vs Fresno State | +3.0L21–24 | 50.0 | L21–24 | U | Y |
| Sat 10/26 | Nevada at Hawai'i | +2.5L13–34 | 42.0 | L13–34 | O | N |
| Sat 11/2 | Nevada vs Colorado State | +2.0L21–38 | 45.5 | L21–38 | O | N |
| Sat 11/9 | Nevada at Boise State | +23.5L21–28 | 60.5 | L21–28 | U | Y |
| — Bye Week — | ||||||
| Sat 11/23 | Nevada vs Air Force | -3.0L19–22 | 44.5 | L19–22 | U | N |
| Sat 11/30 | Nevada at UNLV | +17.5L14–38 | 54.5 | L14–38 | U | N |
Advanced Stats
Advanced Analytics Matchup
Matchup-adjusted (offense vs opponent defense) ·
2024 season
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
Split
Metrics disagree
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 · 2024 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 +0.50
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?
Nevada Edge
Nevada +4.5
GC Edge (season-to-date)
Teams with this edge win 50.6% of games historically
Based on 11 games this season
Actual Result
CSS Battle
Tie
1 — 1 sequences
✗ Predicted incorrectly
GC Battle
Air Force
24.9 — 46.0 GC score
✗ Predicted incorrectly
Game Result
Air Force won by 3
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
Air Force
Troy Calhoun #1
130–82 (61%)
· Yr 18 at school
OC
Mike Thiessen
Yr 3
#1
DC
Brian Knorr
Yr 3
#1
Nevada
Jeff Choate #1
0–0 (0%)
· Yr 1 at school
OC
Matt Lubick
Yr 1
#1
DC
Kane Ioane
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 ✓