Army Black
2022 Team Stats (2 games)
61.5
PPG
70.1
Opp
-0.2
Margin
39.8%
FG%
31.4%
3P%
51.4%
FT%
42.5
RPG
13.5
APG
14.0
TO
80.7
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 → | 910 (#650) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 982 (#360) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +13.0 (#363) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.067 (#118) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.454 (#138) | NetEff -1.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.027 (#117) | AdjNet -31.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.027 (#117) | AdjNet -31.2 |
2022 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Rucker
|
G | 30 | 31.9 | 16.7 | 3.8 | 3.1 | 1.0 | 0.2 | 2.5 | 2.4 | 20.0 | - | - | - | 29.6 | 32.5 | 100.0 | - | 329.1 | 38.7 |
J. Caldwell
|
G | 2 | 31.0 | 13.0 | 3.0 | 3.5 | 1.5 | 0.0 | 2.0 | 11.0 | 8.0 | - | - | - | 45.5 | 0.0 | 60.0 | - | 49.2 | 45.5 |
C. Mann
|
- | 30 | 19.4 | 8.1 | 3.7 | 0.6 | 0.6 | 0.1 | 1.1 | 1.3 | 10.7 | - | - | - | 47.5 | 30.0 | 50.0 | - | 279.2 | 51.2 |
C. Peterson
|
- | 30 | 24.6 | 8.1 | 5.8 | 1.2 | 0.8 | 0.3 | 1.5 | 1.1 | 13.5 | - | - | - | 50.0 | 0 | 42.1 | - | 285.6 | 50.0 |
M. Dove
|
- | 29 | 11.8 | 3.9 | 3.2 | 0.4 | 0.3 | 0.3 | 0.9 | 0.7 | 6.6 | - | - | - | 57.9 | 0 | 33.3 | - | 246.1 | 57.9 |
A. Duhart
|
F | 2 | 25.5 | 3.5 | 3.5 | 5.0 | 0.5 | 0.0 | 2.5 | 4.0 | 6.0 | - | - | - | 25.0 | 33.3 | 50.0 | - | 35.9 | 31.2 |
TJ Small
|
- | 28 | 11.4 | 3.1 | 1.6 | 0.2 | 0.4 | 0.1 | 0.4 | 0.8 | 4.3 | - | - | - | 36.4 | 31.2 | 100.0 | - | 188.7 | 47.7 |
J. Cross
|
- | 23 | 14.3 | 3.0 | 1.5 | 0.2 | 0.4 | 0.2 | 0.6 | 0.2 | 4.5 | -19 | -3.2 | -27.4 | 75.0 | 66.7 | 0.0 | -0.55 | 788.3 | 100.0 |
B. Barker
|
G | 1 | 3.0 | 3.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
N. Naess
|
- | 27 | 9.2 | 2.9 | 1.1 | 0.4 | 0.3 | 0.0 | 0.3 | 0.4 | 4.2 | - | - | - | 30.0 | 14.3 | 100.0 | - | 358.5 | 35.0 |
K. Davis
|
- | 13 | 6.2 | 2.5 | 1.0 | 0.0 | 0.3 | 0.0 | 0.5 | 0.5 | 2.8 | 53 | 4.8 | 10.4 | 42.9 | 25.0 | 0 | 1.3 | 235.7 | 50.0 |
I. Caldwell
|
G | 29 | 11.4 | 2.2 | 2.0 | 0.4 | 0.7 | 0.2 | 0.3 | 0.2 | 4.9 | - | - | - | 28.6 | 0.0 | 50.0 | - | 399.7 | 28.6 |
A. Johnson
|
- | 20 | 5.8 | 1.5 | 1.8 | 0.1 | 0.1 | 0.1 | 0.3 | 0.1 | 3.2 | 3 | 0.2 | 0.3 | 100.0 | 0 | 50.0 | 0.99 | 543.5 | 100.0 |
AJ Allenspach
|
F | 16 | 8.3 | 1.4 | 2.1 | 0.3 | 0.1 | 0.2 | 0.5 | 0.2 | 3.5 | - | - | - | 50.0 | 0 | 0 | - | 287.5 | 50.0 |
B. St. Clair
|
- | 5 | 2.0 | 1.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.2 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Z. Lezanic
|
- | 11 | 5.8 | 0.9 | 0.5 | 0.3 | 0.2 | 0.0 | 0.6 | 0.5 | 0.7 | - | - | - | 40.0 | 100.0 | 0 | - | 100.0 | 50.0 |
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