NJIT
2019 Team Stats (1 games)
59.0
PPG
80.0
Opp
-21.0
Margin
32.8%
FG%
30.0%
3P%
62.5%
FT%
33.0
RPG
9.0
APG
12.0
TO
-
Est. poss./game
67.5
Adj PPG
68.8
Adj Opp PPG
#182
Scoring Rank
Model Outputs
2018-2019
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 โ | Data withheld: source-integrity hold | Historical Elo fit predates the season cutoff fix and has no verified season-bounded input receipt. |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1062 (#125) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1006 (#159) | HCA +83 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -1.6 (#188) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -1.1 (#181) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.546 (#150) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.403 (#197) | AdjNet -3.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.401 (#197) | AdjNet -3.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.472 (#182) | AdjO 67.5 | AdjD 68.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.487 (#187) | AdjO 67.9 | AdjD 68.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.476 (#184) | 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 โ | 0.479 (#183) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 1001 (#175) | RD 110 | GP 34 |
2019 Schedule & Results
2019 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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Shyquan Gibbs
|
G | 1 | 38.0 | 10.0 | 2.0 | 2.0 | 0.0 | 0.0 | 0.0 | 7.0 | 7.0 | -12 | 30 | -0.4 | -0.6 | 42.9 | 66.7 | 100.0 | -2.15 | 63.5 | 57.1 |
Diandre Wilson
|
G | 1 | 28.0 | 10.0 | 4.0 | 1.0 | 1.0 | 0.0 | 2.0 | 9.0 | 5.0 | -7 | 29 | -0.2 | -0.3 | 44.4 | 20.0 | 33.3 | 0.26 | 48.4 | 50.0 |
Abdul Lewis
|
F | 1 | 32.0 | 7.0 | 7.0 | 0.0 | 1.0 | 0.0 | 3.0 | 13.0 | -1.0 | -21 | 24 | -0.9 | -1.1 | 23.1 | 25.0 | 0.0 | -1.62 | 26.0 | 26.9 |
Shawndale Jones
|
G | 1 | 14.0 | 6.0 | 4.0 | 1.0 | 0.0 | 0.0 | 0.0 | 4.0 | 7.0 | 49 | 30 | 1.6 | 4.6 | 50.0 | 66.7 | 0 | -1.17 | 75.0 | 75.0 |
Patrick Jamison
|
- | 1 | 2.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Kjell de Graaf
|
- | 24 | 10.1 | 2.2 | 1.7 | 0.6 | 0.1 | 0.2 | 0.4 | 0.5 | 3.9 | 44 | 21 | 2.1 | 8.7 | 36.4 | 42.9 | 100.0 | 1.34 | 203.8 | 50.0 |
Diego Willis
|
G | 1 | 3.0 | 2.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 2.0 | 97 | 22 | 4.4 | 18.3 | 50.0 | 0.0 | 0 | 3.16 | 50.0 | 50.0 |
Souleymane Diakite
|
- | 16 | 8.4 | 1.8 | 2.9 | 0.4 | 0.2 | 0.6 | 0.3 | 0.4 | 5.1 | 62 | 12 | 5.2 | 20.4 | 57.1 | 0 | 0.0 | 2.53 | 188.2 | 57.1 |
Mohamed Bendary
|
F | 1 | 10.0 | 1.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 3.0 | 16 | 30 | 0.5 | 1.7 | 0 | 0 | 50.0 | -1.8 | 56.8 | 0 |
Donovan Greer
|
G | 1 | 11.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 | -3.0 | 18 | 22 | 0.8 | 3.2 | 0.0 | 0.0 | 50.0 | -0.27 | 10.2 | 0.0 |
Taj Price
|
F | 3 | 3.0 | 0.0 | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
S. Brinson
|
F | 1 | 22.0 | 0.0 | 3.0 | 0.0 | 1.0 | 0.0 | 2.0 | 1.0 | 1.0 | -8 | 30 | -0.3 | -0.6 | 0.0 | 0.0 | 0 | -0.36 | 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