Air Force Falcons
2022 Team Stats (5 games)
63.2
PPG
64.8
Opp
-1.6
Margin
39.7%
FG%
32.9%
3P%
77.0%
FT%
32.0
RPG
14.2
APG
14.0
TO
80.4
Pace
Model Outputs
2021-2022
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 973 (#264) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 998 (#240) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +15.9 (#210) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.300 (#246) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-11-24 | @ | Army Black Knights | L | 62 - 73 |
| 2021-12-28 | @ | Nevada Wolf Pack | L | 52 - 67 |
| 2022-02-15 | vs | Boise State Broncos | W | 77 - 63 |
| 2022-03-07 | @ | Nevada Wolf Pack | W | 75 - 60 |
| 2022-03-08 | @ | UNLV Lady Rebels | L | 50 - 61 |
2022 Roster
Minutes by Position
The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
R. Snyder
|
F | 5 | 33.6 | 18.8 | 2.2 | 1.4 | 1.8 | 0.2 | 1.4 | 12.4 | 10.6 | - | - | - | 54.8 | 50.0 | 100.0 | 0.3 | 69.0 | 64.5 |
C. Winters
|
G | 5 | 27.6 | 11.4 | 5.2 | 1.4 | 1.0 | 0.2 | 1.4 | 11.4 | 6.4 | - | - | - | 40.4 | 23.1 | 66.7 | 0.78 | 45.8 | 43.0 |
K. Heath
|
G | 5 | 21.0 | 7.8 | 2.4 | 1.6 | 1.0 | 0.0 | 0.8 | 8.0 | 4.0 | 6 | 1.5 | 9.7 | 45.0 | 0.0 | 100.0 | -0.09 | 47.2 | 45.0 |
H. Jones
|
F | 5 | 26.2 | 6.8 | 7.0 | 1.8 | 2.0 | 1.2 | 2.0 | 5.4 | 11.4 | 39 | 1.1 | 14.9 | 33.3 | 0.0 | 69.6 | 0.63 | 45.8 | 33.3 |
B. Autrey-Thompson
|
G | 4 | 22.0 | 6.5 | 2.2 | 3.5 | 2.0 | 0.0 | 4.2 | 9.5 | 0.5 | - | - | - | 28.9 | 25.0 | 60.0 | 0.22 | 32.3 | 30.3 |
N. McDonald
|
F | 5 | 12.2 | 4.6 | 1.0 | 1.0 | 0.4 | 0.0 | 0.6 | 3.0 | 3.4 | - | - | - | 60.0 | 62.5 | 0 | 1.09 | 76.7 | 76.7 |
L. McDonald
|
G | 5 | 13.4 | 3.4 | 2.0 | 0.4 | 0.6 | 0.0 | 0.6 | 4.0 | 1.8 | 32 | 1.3 | 6.7 | 30.0 | 33.3 | 100.0 | 0.91 | 40.7 | 37.5 |
D. MacMillan
|
F | 4 | 11.8 | 3.2 | 1.2 | 0.0 | 0.8 | 0.0 | 1.2 | 4.5 | -0.5 | 4 | 0.2 | 1.3 | 33.3 | 12.5 | 0 | 0.7 | 36.1 | 36.1 |
A. Gadison
|
G | 2 | 14.5 | 2.5 | 1.0 | 0.0 | 2.0 | 0.0 | 0.0 | 4.5 | 1.0 | - | - | - | 22.2 | 12.5 | 0 | 0.44 | 27.8 | 27.8 |
M. Smith
|
G | 1 | 8.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | 15 | 0.6 | 3.8 | 33.3 | 0.0 | 0 | 0.94 | 33.3 | 33.3 |
T. Britt
|
G | 1 | 11.0 | 1.0 | 4.0 | 1.0 | 0.0 | 0.0 | 1.0 | 1.0 | 4.0 | 17 | 0.9 | 4.0 | 0.0 | 0 | 50.0 | 1.35 | 26.6 | 0.0 |
Jo Huntimer
|
G | 5 | 25.2 | 1.0 | 2.8 | 3.2 | 1.4 | 0.0 | 0.8 | 2.6 | 5.0 | 29 | 1.5 | 11.9 | 15.4 | 20.0 | 0 | 0.18 | 19.2 | 19.2 |
K. Pilson
|
G | 2 | 10.0 | 0.0 | 2.5 | 1.0 | 0.0 | 0.0 | 0.5 | 1.0 | 2.0 | - | - | - | 0.0 | 0 | 0 | 0.02 | 0.0 | 0.0 |
S. Mazzilli
|
F | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | -1.62 | 0 | 0 |
Numbers/Game vs RAPM
X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.
Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG