Army Black Knights
2020 Team Stats (7 games)
58.9
PPG
78.4
Opp
-19.5
Margin
38.0%
FG%
27.7%
3P%
63.6%
FT%
31.6
RPG
10.3
APG
18.1
TO
81.1
Pace
Model Outputs
2019-2020
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 → | 1214 (#87) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 949 (#322) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +14.0 (#277) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.396 (#255) | - |
2020 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2019-11-10 | @ | Arizona State Sun Devils | L | 51 - 83 |
| 2019-11-30 | @ | Fairleigh Dickinson Knights | W | 70 - 68 |
| 2019-12-09 | @ | St. John's Red Storm | L | 60 - 96 |
| 2019-12-13 | @ | Manhattan Jaspers | L | 56 - 86 |
| 2020-02-12 | @ | Lafayette Leopards | L | 58 - 67 |
| 2020-03-04 | @ | Boston University Terriers | L | 56 - 62 |
| 2020-03-09 | @ | Bucknell Bison | L | 61 - 87 |
2020 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Fallon
|
G | 7 | 33.6 | 13.4 | 6.4 | 1.4 | 0.3 | 0.1 | 1.7 | 11.7 | 8.3 | - | - | - | 39.0 | 26.1 | 77.4 | 1.27 | 49.1 | 42.7 |
L. Scamman
|
F | 5 | 23.6 | 10.0 | 7.4 | 1.4 | 0.8 | 0.4 | 2.4 | 7.4 | 10.2 | - | - | - | 51.4 | 40.0 | 58.8 | 0.74 | 56.2 | 54.1 |
H. Brown
|
G | 6 | 25.5 | 7.2 | 2.8 | 1.2 | 1.2 | 0.2 | 3.8 | 6.7 | 2.0 | - | - | - | 37.5 | 30.0 | 66.7 | 0.48 | 46.1 | 41.2 |
N. Stralkus
|
G | 6 | 12.2 | 7.0 | 1.5 | 0.5 | 0.3 | 0.0 | 1.3 | 5.8 | 2.2 | - | - | - | 37.1 | 48.1 | 50.0 | 1.09 | 55.8 | 55.7 |
S. Hunter
|
F | 2 | 28.5 | 6.5 | 8.5 | 0.0 | 0.5 | 1.0 | 2.0 | 8.5 | 6.0 | -33 | -4.1 | -42.9 | 29.4 | 0 | 37.5 | 0.94 | 31.7 | 29.4 |
S. Bohn
|
G | 7 | 32.9 | 6.0 | 2.0 | 1.6 | 0.9 | 0.1 | 2.1 | 5.6 | 2.9 | - | - | - | 38.5 | 26.1 | 60.0 | 0.76 | 48.4 | 46.2 |
K. Hall
|
F | 5 | 27.8 | 5.8 | 1.4 | 2.2 | 0.8 | 0.8 | 2.8 | 6.8 | 1.4 | - | - | - | 29.4 | 0.0 | 69.2 | 0.83 | 36.5 | 29.4 |
K. Murray
|
F | 7 | 17.3 | 5.6 | 3.3 | 0.4 | 0.3 | 0.6 | 0.9 | 6.1 | 3.1 | - | - | - | 37.2 | 23.5 | 50.0 | 0.42 | 42.7 | 41.9 |
L. Tacka
|
G | 2 | 33.0 | 4.5 | 3.0 | 2.0 | 1.0 | 0.0 | 2.5 | 5.0 | 3.0 | - | - | - | 30.0 | 0.0 | 100.0 | 0.23 | 39.8 | 30.0 |
M. Yancey
|
G | 7 | 18.9 | 4.3 | 1.0 | 0.7 | 0.4 | 0.0 | 1.0 | 4.0 | 1.4 | - | - | - | 39.3 | 31.6 | 40.0 | 0.1 | 49.7 | 50.0 |
L. Layne
|
F | 3 | 11.7 | 1.3 | 1.3 | 0.0 | 0.7 | 0.0 | 2.0 | 2.3 | -1.0 | - | - | - | 28.6 | 0.0 | 0 | -0.34 | 28.6 | 28.6 |
J. Rawls
|
F | 4 | 5.0 | 1.0 | 0.8 | 0.2 | 0.2 | 0.0 | 0.8 | 0.8 | 0.8 | - | - | - | 66.7 | 0.0 | 0 | 0.44 | 66.7 | 66.7 |
T. Sullivan
|
F | 6 | 6.0 | 1.0 | 0.7 | 0.3 | 0.0 | 0.2 | 0.3 | 1.2 | 0.7 | - | - | - | 42.9 | 0.0 | 0.0 | 0.26 | 38.1 | 42.9 |
N. Rhine
|
G | 6 | 2.8 | 0.8 | 0.5 | 0.5 | 0.0 | 0.0 | 0.2 | 0.7 | 1.0 | - | - | - | 50.0 | 50.0 | 0 | -0.45 | 62.5 | 62.5 |
E. Varoz
|
G | 4 | 4.5 | 0.5 | 0.5 | 1.2 | 0.0 | 0.0 | 1.2 | 0.8 | 0.2 | - | - | - | 0.0 | 0.0 | 100.0 | 0.11 | 25.8 | 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