Army Black
2018 Team Stats (3 games)
68.0
PPG
82.0
Opp
-14.0
Margin
41.4%
FG%
38.6%
3P%
65.9%
FT%
34.7
RPG
16.3
APG
18.3
TO
84.7
Pace
Model Outputs
2017-2018
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 → | 965 (#529) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1070 (#307) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +12.8 (#370) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.028 (#102) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.037 (#105) | AdjNet -28.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.037 (#105) | AdjNet -27.9 |
2018 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2017-12-08 | @ | Wake Forest Demon Deacons | L | 80 - 109 |
| 2018-01-05 | vs | Bucknell Bison | L | 66 - 83 |
| 2018-01-08 | @ | American University Eagles | W | 58 - 54 |
2018 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Funk
|
G | 3 | 31.0 | 12.7 | 3.3 | 4.0 | 0.3 | 0.0 | 3.0 | 8.7 | 8.7 | - | - | - | 53.8 | 45.5 | 71.4 | - | 65.3 | 63.5 |
T. Wilson
|
F | 3 | 26.0 | 12.7 | 5.0 | 0.3 | 0.3 | 0.0 | 1.3 | 10.3 | 6.7 | 15 | 1.2 | 1.6 | 54.8 | 0 | 50.0 | 1.11 | 55.0 | 54.8 |
J. Fox
|
G | 3 | 27.0 | 10.7 | 3.3 | 4.0 | 1.7 | 0.0 | 2.7 | 9.3 | 7.7 | - | - | - | 35.7 | 46.2 | 85.7 | - | 51.5 | 46.4 |
A. King
|
F | 3 | 23.3 | 9.0 | 4.0 | 1.3 | 1.3 | 0.7 | 3.3 | 10.0 | 3.0 | -13 | -1.1 | -2.3 | 33.3 | 54.5 | 50.0 | 0.75 | 43.7 | 43.3 |
T. Blackwell
|
G | 3 | 19.3 | 8.0 | 3.0 | 0.3 | 0.7 | 0.0 | 1.7 | 6.3 | 4.0 | - | - | - | 42.1 | 22.2 | 75.0 | - | 53.3 | 47.4 |
L. Morrison
|
NA | 3 | 16.3 | 4.0 | 2.0 | 0.7 | 0.0 | 0.0 | 1.0 | 4.3 | 1.3 | - | - | - | 30.8 | 27.3 | 50.0 | - | 43.2 | 42.3 |
J. Emezie
|
G | 3 | 11.7 | 3.7 | 2.0 | 0.7 | 1.0 | 0.3 | 0.3 | 2.3 | 5.0 | - | - | - | 42.9 | 50.0 | 80.0 | - | 59.8 | 50.0 |
L. Grayson
|
G | 3 | 9.0 | 3.3 | 0.7 | 0.7 | 0.7 | 0.0 | 0.7 | 3.0 | 1.7 | - | - | - | 44.4 | 50.0 | 0 | - | 55.6 | 55.6 |
M. Pollack
|
C | 1 | 4.0 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 2.0 | - | - | - | 50.0 | 50.0 | 0 | - | 75.0 | 75.0 |
J. Kessler
|
G | 3 | 19.7 | 2.3 | 3.0 | 3.7 | 0.7 | 0.3 | 2.7 | 4.0 | 3.3 | - | - | - | 25.0 | 14.3 | 0.0 | - | 27.2 | 29.2 |
B. Thiombane
|
F | 3 | 10.7 | 0.7 | 5.0 | 0.3 | 0.3 | 1.3 | 0.7 | 1.0 | 6.0 | - | - | - | 33.3 | 0 | 0 | - | 33.3 | 33.3 |
C. Edwards
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
J. Miller
|
C | 2 | 2.5 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | 0.09 | 0 | 0 |
P. Fennema
|
F | 1 | 4.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 1.0 | 1.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
L. Lawson
|
G | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
M. Madden
|
G | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 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