NJIT
2013 Team Stats (2 games)
79.5
PPG
64.4
Opp
+6.0
Margin
43.8%
FG%
34.4%
3P%
63.6%
FT%
39.5
RPG
16.5
APG
15.0
TO
90.0
Pace
Model Outputs
2012-2013
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 → | 999 (#343) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1076 (#322) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1037 (#121) | HCA +147 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +11.8 (#390) | HCA +3.0 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +2.7 (#269) | HCA +3.3 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.627 (#70) | NetEff +4.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.527 (#179) | AdjO 65.5 | AdjD 64.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.584 (#225) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.572 (#218) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 997 (#214) | RD 135 | GP 29 |
2013 Schedule & Results
2013 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
C. Flores
|
G | 29 | 33.3 | 16.9 | 3.9 | 2.9 | 2.4 | 0.2 | 2.8 | 3.1 | 20.4 | 98 | 3.4 | 4.4 | 38.5 | 36.1 | 74.2 | 0.42 | 234.6 | 45.6 |
R. Woods
|
G-F | 28 | 35.2 | 14.4 | 4.8 | 1.6 | 1.1 | 0.6 | 1.4 | 1.9 | 19.2 | 114 | 4.1 | 5.0 | 49.1 | 50.0 | 80.0 | 0.53 | 325.2 | 64.2 |
P. Miller
|
G | 29 | 28.9 | 10.1 | 2.1 | 3.5 | 1.7 | 0.2 | 2.4 | 1.8 | 13.2 | 90 | 3.1 | 4.6 | 38.5 | 0.0 | 61.8 | 0.38 | 218.0 | 38.5 |
K. Howard
|
G | 29 | 22.4 | 7.2 | 4.6 | 2.3 | 0.8 | 0.1 | 2.2 | 1.6 | 11.2 | 131 | 4.5 | 7.1 | 45.7 | 57.1 | 70.6 | 0.76 | 196.3 | 50.0 |
D. Holiday
|
F | 29 | 18.7 | 5.4 | 4.9 | 0.4 | 0.8 | 1.5 | 1.1 | 0.5 | 11.3 | 136 | 4.7 | 10.2 | 60.0 | 0 | 55.0 | 1.32 | 327.7 | 60.0 |
M. Farrell
|
- | 8 | 12.4 | 5.4 | 2.1 | 0.2 | 0.8 | 0.1 | 0.9 | 1.0 | 6.8 | 40 | 4.4 | 12.7 | 25.0 | 33.3 | 100.0 | 0.5 | 202.1 | 37.5 |
T. Smith
|
F | 12 | 21.2 | 4.9 | 5.8 | 0.4 | 0.6 | 0.8 | 0.8 | 0.6 | 11.2 | 375 | 11.7 | 15.5 | 57.1 | 0 | 0 | 1.66 | 421.4 | 57.1 |
N. Sydnor
|
G | 29 | 14.4 | 4.6 | 1.6 | 0.9 | 0.4 | 0.0 | 0.9 | 0.7 | 5.9 | 63 | 2.2 | 5.1 | 28.6 | 12.5 | 77.8 | 0.2 | 264.4 | 31.0 |
O. Nweke
|
F | 27 | 18.5 | 4.3 | 4.3 | 0.7 | 0.9 | 0.8 | 1.3 | 0.8 | 8.9 | 101 | 3.7 | 7.8 | 33.3 | 0 | 69.6 | 0.56 | 186.4 | 33.3 |
Q. Bastian
|
F | 20 | 12.8 | 3.0 | 3.3 | 0.2 | 0.3 | 0.7 | 0.8 | 0.3 | 6.4 | 33 | 1.6 | 4.3 | 71.4 | 0 | 50.0 | 0.16 | 380.7 | 71.4 |
S. McCarthy
|
C | 28 | 15.8 | 2.9 | 4.5 | 0.3 | 0.1 | 0.8 | 1.2 | 0.8 | 6.7 | -44 | -1.5 | -4.6 | 50.0 | 0 | 25.0 | -0.92 | 170.5 | 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