NJIT
2022 Team Stats (1 games)
49.0
PPG
71.7
Opp
-9.8
Margin
31.7%
FG%
23.8%
3P%
54.5%
FT%
32.0
RPG
8.0
APG
11.0
TO
75.8
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 → | 887 (#691) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 907 (#659) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +9.1 (#408) | HCA +2.7 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.032 (#315) | NetEff -24.5 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
S. Ihekwoaba
|
G | 1 | 34.0 | 18.0 | 6.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 27.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
M. Coleman
|
- | 25 | 32.6 | 14.8 | 5.3 | 1.6 | 1.1 | 0.1 | 3.0 | 2.4 | 17.5 | - | - | - | 31.1 | 23.8 | 68.8 | - | 272.6 | 35.2 |
M. Faw
|
F | 4 | 22.2 | 10.5 | 5.8 | 0.5 | 0.2 | 1.8 | 0.8 | 3.2 | 14.8 | - | - | - | 53.8 | 57.1 | 0 | - | 161.5 | 69.2 |
D. O'Hearn
|
- | 4 | 37.0 | 9.8 | 3.8 | 2.0 | 0.2 | 0.5 | 2.0 | 7.0 | 7.2 | - | - | - | 25.0 | 27.3 | 64.3 | - | 57.1 | 30.4 |
J. Lee
|
G | 2 | 32.5 | 8.5 | 4.5 | 0.5 | 2.5 | 1.0 | 1.5 | 4.0 | 11.5 | 41 | 5.1 | 27.8 | 37.5 | 100.0 | 0 | 0.62 | 106.2 | 43.8 |
M. Gray
|
- | 25 | 25.9 | 7.6 | 3.0 | 1.0 | 0.9 | 0.5 | 1.4 | 1.1 | 10.5 | -8 | -1.1 | -2.0 | 37.0 | 8.3 | 72.2 | 0.51 | 272.1 | 38.9 |
A. Butler
|
G | 6 | 34.2 | 6.3 | 4.0 | 2.5 | 1.8 | 0.0 | 2.0 | 0.8 | 11.8 | - | - | - | 20.0 | 33.3 | 100.0 | - | 323.1 | 30.0 |
S. Diakite
|
- | 25 | 21.2 | 5.1 | 4.5 | 0.7 | 0.4 | 0.5 | 1.2 | 0.9 | 9.2 | - | - | - | 43.5 | 0 | 50.0 | - | 258.5 | 43.5 |
C. Efretuei
|
C | 1 | 19.0 | 4.0 | 5.0 | 4.0 | 0.0 | 1.0 | 0.0 | 0.0 | 14.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
D. Faison
|
- | 13 | 13.2 | 3.3 | 1.7 | 0.5 | 0.3 | 0.2 | 0.4 | 0.3 | 5.2 | - | - | - | 50.0 | 0 | 0 | - | 537.5 | 50.0 |
K. Mason
|
- | 22 | 7.1 | 2.6 | 1.1 | 0.1 | 0.1 | 0.1 | 0.5 | 0.4 | 3.2 | -25 | -1.8 | -3.0 | 55.6 | 0 | 77.8 | 0.52 | 223.8 | 55.6 |
J. Hall
|
F | 1 | 12.0 | 2.0 | 1.0 | 0.0 | 0.0 | 3.0 | 0.0 | 5.0 | 1.0 | -10 | -0.8 | -1.2 | 20.0 | 0.0 | 0 | 0.66 | 20.0 | 20.0 |
Kjell de Graaf
|
- | 18 | 10.7 | 2.0 | 1.8 | 0.4 | 0.1 | 0.3 | 0.4 | 0.5 | 3.7 | - | - | - | 33.3 | 50.0 | 0 | - | 200.0 | 44.4 |
Eyal Nankin
|
- | 17 | 9.0 | 0.9 | 1.3 | 0.5 | 0.2 | 0.2 | 0.6 | 0.2 | 2.4 | - | - | - | 25.0 | 0.0 | 40.0 | - | 129.0 | 25.0 |
A. Bakare
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 18 | 1.8 | 6.1 | - | - | - | 0.37 | - | - |
G. Hammond
|
G | 1 | 5.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 1.0 | 2.0 | -1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
J. Murphy
|
F | 1 | 2.0 | 0.0 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 3.0 | 26 | 2.2 | 9.4 | 0 | 0 | 0.0 | 0.8 | 0.0 | 0 |
C. Sterling
|
- | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 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