Manhattan
2026 Team Stats (30 games)
74.7
PPG
79.1
Opp
-4.4
Margin
42.9%
FG%
32.8%
3P%
79.9%
FT%
33.2
RPG
13.1
APG
10.6
TO
79.2
Pace
71.2
AdjO
84.5
AdjD
#332
Rank
Model Outputs
2025-2026
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 → | 879 (#270) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 815 (#312) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1014 (#159) | HCA +109 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 937 (#610) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -13.5 (#333) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +15.5 (#146) | HCA +2.5 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +3.9 (#321) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.252 (#308) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.215 (#272) | NetEff -10.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.115 (#332) | AdjNet -17.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.112 (#332) | AdjNet -17.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.231 (#332) | AdjO 71.2 | AdjD 84.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.618 (#97) | AdjO 79.7 | AdjD 74.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.423 (#569) | AdjO 72.3 | AdjD 75.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.776 (#159) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.499 (#340) | 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 → | 0.745 (#150) | 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 → | 0.474 (#348) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1062 (#178) | RD 140 | GP 31 |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 906 (#470) | RD 155 | GP 30 |
2026 Schedule & Results
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Winston
|
- | 30 | 35.2 | 15.4 | 3.1 | 3.9 | 2.6 | 0.0 | 2.3 | 10.7 | 12.0 | -56 | -2.2 | -3.8 | 45.9 | 37.4 | 81.9 | -0.42 | 59.4 | 52.2 |
T. Jones
|
G | 30 | 28.2 | 12.6 | 4.6 | 1.8 | 1.6 | 0.1 | 1.1 | 10.5 | 9.1 | -7 | -3.5 | -61.5 | 39.5 | 35.1 | 93.4 | -0.1 | 53.5 | 46.8 |
D. Dinkins
|
- | 30 | 33.7 | 12.4 | 1.6 | 2.6 | 1.0 | 0.0 | 1.7 | 9.4 | 6.5 | -67 | -2.8 | -3.9 | 37.1 | 33.6 | 88.5 | -0.67 | 54.6 | 45.2 |
F. Roxburgh
|
- | 30 | 30.7 | 11.3 | 6.0 | 1.1 | 0.5 | 0.5 | 1.6 | 10.0 | 7.8 | -61 | -2.5 | -4.0 | 45.2 | 32.0 | 82.4 | -0.52 | 53.8 | 51.8 |
Anthony Isaac
|
- | 30 | 23.9 | 9.8 | 7.2 | 0.9 | 0.9 | 0.4 | 1.1 | 6.9 | 11.2 | -27 | -1.1 | -2.2 | 49.5 | 18.2 | 71.3 | -0.59 | 56.4 | 50.0 |
M. Ljubicic
|
- | 30 | 19.8 | 5.8 | 3.5 | 0.6 | 0.4 | 0.3 | 0.6 | 5.1 | 4.9 | -44 | -1.8 | -4.2 | 42.9 | 27.4 | 62.1 | -0.38 | 51.9 | 50.3 |
Quron Elliott
|
- | 28 | 11.2 | 3.2 | 1.1 | 0.9 | 0.1 | 0.0 | 0.5 | 3.0 | 1.8 | 13 | 0.6 | 3.3 | 41.2 | 30.0 | 65.0 | -0.5 | 47.4 | 44.7 |
Erik Oliver-Bush
|
- | 25 | 16.2 | 3.1 | 2.0 | 0.9 | 0.4 | 0.9 | 0.8 | 2.7 | 3.8 | -42 | -1.8 | -5.0 | 44.8 | 22.2 | 70.0 | -0.44 | 51.5 | 47.8 |
M. Lawlor
|
- | 5 | 4.6 | 2.6 | 1.4 | 0.4 | 0.0 | 0.2 | 0.0 | 1.8 | 2.8 | 17 | 3.4 | 62.2 | 55.6 | 66.7 | 33.3 | -0.11 | 63.0 | 66.7 |
A. Miguel
|
- | 8 | 5.0 | 2.6 | 0.4 | 0.4 | 0.2 | 0.1 | 0.4 | 1.9 | 1.5 | - | - | - | 53.3 | 33.3 | 50.0 | - | 62.6 | 63.3 |
Omari Moore
|
- | 8 | 4.4 | 1.1 | 0.9 | 0.2 | 0.2 | 0.1 | 0.2 | 1.8 | 0.6 | 24 | 3.0 | 55.8 | 21.4 | 16.7 | 40.0 | -0.21 | 27.8 | 25.0 |
B. Rumpel
|
- | 2 | 7.5 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | -1.0 | -15 | -5.0 | -40.3 | 25.0 | 0 | 0 | -0.33 | 25.0 | 25.0 |
A. Arora
|
- | 3 | 3.0 | 0.7 | 0.0 | 1.3 | 0.3 | 0.0 | 0.0 | 0.3 | 2.0 | 15 | 5.0 | 302.5 | 100.0 | 0 | 0 | -0.01 | 100.0 | 100.0 |
J. Delaney
|
- | 20 | 4.5 | 0.6 | 0.6 | 0.2 | 0.2 | 0.2 | 0.1 | 0.7 | 0.9 | 21 | 1.5 | 26.4 | 28.6 | 36.4 | 0.0 | -0.02 | 39.2 | 42.9 |
Louis Fairtlough
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
W. Sydnor
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Jaeden Robley
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Jameson Borodawka
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Nick Lukmann
|
G | 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