Manhattan
2016 Team Stats (4 games)
65.5
PPG
70.2
Opp
-4.8
Margin
44.0%
FG%
42.7%
3P%
77.9%
FT%
29.3
RPG
14.0
APG
16.8
TO
-
Est. poss./game
66.4
Adj PPG
72.2
Adj Opp PPG
#257
Scoring Rank
Model Outputs
2015-2016
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 | 930 (#205) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 908 (#237) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 957 (#235) | HCA +98 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -6.4 (#256) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -6.6 (#261) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.331 (#245) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.262 (#254) | AdjNet -9.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.260 (#254) | AdjNet -9.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.371 (#257) | AdjO 66.4 | AdjD 72.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.422 (#236) | AdjO 67.6 | AdjD 71.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.343 (#252) | 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 | 0.353 (#250) | 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 | 914 (#233) | RD 145 | GP 31 |
2016 Schedule & Results
2016 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Shane Richards
|
F | 23 | 36.6 | 17.3 | 4.0 | 1.7 | 0.9 | 0.0 | 2.0 | 3.1 | 18.8 | 33 | 25 | 1.3 | 1.6 | 38.9 | 29.4 | 85.2 | 1.12 | 236.6 | 45.8 |
Rich Williams
|
G | 23 | 29.6 | 15.9 | 6.0 | 1.3 | 1.0 | 0.4 | 2.6 | 3.0 | 19.0 | 24 | 25 | 1.0 | 1.5 | 54.3 | 55.6 | 81.2 | -0.44 | 236.9 | 61.4 |
Zane Waterman
|
F | 23 | 23.6 | 11.0 | 5.8 | 0.6 | 0.7 | 0.3 | 1.6 | 2.2 | 14.6 | 13 | 25 | 0.5 | 1.0 | 56.0 | 38.1 | 80.0 | 0.05 | 208.2 | 64.0 |
Calvin Crawford
|
F | 14 | 23.3 | 9.5 | 4.2 | 0.8 | 0.4 | 1.2 | 2.0 | 1.6 | 12.6 | -1 | 19 | -0.1 | -0.1 | 31.8 | 20.0 | 85.7 | -2.36 | 236.2 | 34.1 |
RaShawn Stores
|
G | 20 | 30.1 | 7.8 | 2.3 | 3.0 | 1.4 | 0.0 | 1.6 | 1.8 | 11.1 | 68 | 23 | 3.0 | 4.4 | 36.1 | 34.8 | 57.1 | 1.87 | 199.6 | 47.2 |
Thomas Capuano
|
G | 23 | 26.7 | 5.6 | 1.6 | 1.9 | 1.7 | 0.0 | 1.1 | 1.2 | 8.4 | -7 | 25 | -0.3 | -0.5 | 39.3 | 41.2 | 100.0 | -0.67 | 225.0 | 51.8 |
Tyler Wilson
|
G | 23 | 29.5 | 4.5 | 1.9 | 5.5 | 1.6 | 0.0 | 3.3 | 0.7 | 9.6 | -21 | 25 | -0.8 | -1.3 | 33.3 | 100.0 | 64.3 | -2.03 | 243.4 | 36.7 |
Carlton Allen
|
C | 7 | 15.6 | 2.7 | 2.4 | 0.1 | 0.6 | 0.0 | 1.1 | 0.3 | 4.4 | - | - | - | - | 50.0 | 0 | 100.0 | - | 389.3 | 50.0 |
Samson Akilo
|
F | 20 | 8.0 | 1.2 | 0.8 | 0.1 | 0.1 | 0.1 | 0.3 | 0.2 | 1.8 | -20 | 22 | -0.9 | -4.6 | 80.0 | 0 | 0 | -4.13 | 240.0 | 80.0 |
Ak Ojo
|
C | 5 | 9.6 | 1.2 | 2.4 | 0.0 | 0.4 | 0.6 | 2.0 | 0.2 | 2.4 | - | - | - | - | 100.0 | 0 | 33.3 | - | 129.3 | 100.0 |
Matt Maloney
|
G | 11 | 6.0 | 0.6 | 0.4 | 0.0 | 0.2 | 0.0 | 0.4 | 0.0 | 0.8 | -36 | 15 | -2.4 | -26.8 | 0 | 0 | 0 | -4.74 | 0 | 0 |
Jason Camus
|
- | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Chris Rivera
|
- | 1 | 6.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | - | - | - | - | 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