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New York Knicks

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: New York Knicks
Program History

2026 Team Stats (77 games)

116.5
PPG
110.0
Opp
+6.3
Margin
48.0%
FG%
37.6%
3P%
78.6%
FT%
45.5
RPG
27.4
APG
12.7
TO
111.3
Pace
115.3
AdjO
110.8
AdjD
#6
Rank

Model Outputs

2025-2026
Catalog

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 → 1149 (#4) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1088 (#7) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +58 elo More → 1111 (#8) HCA +58 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +1.7 More → +7.5 (#6) HCA +1.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.1 More → +9.1 (#5) HCA +2.1
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.653 (#6) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +5.4 More → 0.634 (#6) NetEff +5.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +4.1 More → 0.617 (#6) AdjNet +4.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +4.2 More → 0.618 (#6) AdjNet +4.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 115.3 | AdjD 110.8 More → 0.600 (#6) AdjO 115.3 | AdjD 110.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 111.3 | AdjD 103.7 More → 0.666 (#5) AdjO 111.3 | AdjD 103.7
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.704 (#6) 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. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.700 (#5) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 68 | GP 86 More → 1129 (#5) RD 68 | GP 86

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-10-22 vs CLE W 119 - 111
2025-10-24 vs BOS W 105 - 95
2025-10-26 @ MIA L 107 - 115
2025-10-29 @ MIL L 111 - 121
2025-11-01 @ CHI L 125 - 135
2025-11-03 vs CHI W 128 - 116
2025-11-04 vs WAS W 119 - 102
2025-11-06 vs MIN W 137 - 114
2025-11-09 vs BKN W 134 - 98
2025-11-12 vs MEM W 133 - 120
2025-11-13 vs ORL L 107 - 124
2025-11-15 vs MIA W 140 - 132
2025-11-18 @ MIA L 113 - 115
2025-11-20 @ DAL W 113 - 111
2025-11-22 @ ORL L 121 - 133
2025-11-25 @ BKN W 113 - 100
2025-11-27 @ CHA W 129 - 101
2025-11-29 vs MIL W 118 - 109
2025-11-30 vs TOR W 116 - 94
2025-12-03 @ BOS L 117 - 123
2025-12-04 vs CHA W 119 - 104
2025-12-06 vs UTA W 146 - 112
2025-12-07 vs ORL W 106 - 100
2025-12-10 @ TOR W 117 - 101
2025-12-13 @ ORL W 132 - 120
2025-12-19 @ IND W 114 - 113
2025-12-20 vs PHI L 107 - 116
2025-12-21 vs MIA W 132 - 125
2025-12-24 @ MIN L 104 - 115
2025-12-25 vs CLE W 126 - 124
2025-12-28 @ ATL W 128 - 125
2025-12-30 @ NOP W 130 - 125
2026-01-01 @ SAS L 132 - 134
2026-01-03 vs ATL L 99 - 111
2026-01-04 vs PHI L 119 - 130
2026-01-06 @ DET L 90 - 121
2026-01-08 vs LAC W 123 - 111
2026-01-10 @ PHX L 107 - 112
2026-01-11 @ POR W 123 - 114
2026-01-15 @ SAC L 101 - 112
2026-01-16 @ GSW L 113 - 126
2026-01-18 vs PHX L 99 - 106
2026-01-19 vs DAL L 97 - 114
2026-01-21 vs BKN W 120 - 66
2026-01-24 @ PHI W 112 - 109
2026-01-28 vs SAC W 103 - 87
2026-01-29 @ TOR W 119 - 92
2026-01-31 vs POR W 127 - 97
2026-02-02 vs LAL W 112 - 100
2026-02-04 @ WAS W 132 - 101
2026-02-05 vs DEN W 134 - 127
2026-02-07 @ DET L 80 - 118
2026-02-08 @ BOS W 111 - 89
2026-02-11 vs IND L 134 - 137
2026-02-12 @ PHI W 138 - 89
2026-02-20 vs DET L 111 - 126
2026-02-22 vs HOU W 108 - 106
2026-02-23 @ CHI W 105 - 99
2026-02-25 @ CLE L 94 - 109
2026-02-28 @ MIL W 127 - 98
2026-03-01 vs SAS W 114 - 89
2026-03-04 @ TOR W 111 - 95
2026-03-05 vs OKC L 100 - 103
2026-03-07 @ DEN W 142 - 103
2026-03-08 @ LAL L 97 - 110
2026-03-09 @ LAC L 118 - 126
2026-03-11 @ UTA W 134 - 117
2026-03-13 @ IND W 101 - 92
2026-03-16 vs GSW W 110 - 107
2026-03-17 vs IND W 136 - 110
2026-03-20 @ BKN W 93 - 92
2026-03-22 vs WAS W 145 - 113
2026-03-24 vs NOP W 121 - 116
2026-03-26 @ CHA L 103 - 114
2026-03-29 @ OKC L 100 - 111
2026-04-01 @ HOU L 94 - 111
2026-04-02 @ MEM W 130 - 119
2026-04-03 vs CHI W 136 - 96
2026-04-06 @ ATL W 108 - 105
2026-04-09 vs BOS W 112 - 106
2026-04-10 vs TOR W 112 - 95
2026-04-12 vs CHA L 96 - 110
2026-04-18 vs ATL W 113 - 102
2026-04-21 vs ATL L 106 - 107

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%
Jalen Brunson Jalen Brunson G 76 34.5 26.1 3.3 6.8 0.8 0.1 2.4 20.0 14.7 - - - 46.5 37.3 83.9 - 57.8 53.1
Karl-Anthony Towns Karl-Anthony Towns C 77 30.5 20.1 11.8 3.0 0.9 0.6 2.5 13.7 20.0 - - - 50.2 37.3 86.2 - 62.2 55.8
OG Anunoby OG Anunoby F 69 32.8 16.7 5.3 2.1 1.6 0.7 1.8 11.9 12.7 - - - 48.5 38.9 82.0 - 62.2 58.3
Mikal Bridges Mikal Bridges G 84 32.4 14.3 3.8 3.7 1.3 0.7 1.0 11.7 11.1 - - - 48.9 37.0 83.0 - 58.6 57.0
Josh Hart Josh Hart G 68 29.9 12.0 7.6 4.8 1.2 0.2 1.9 9.0 14.9 - - - 50.7 40.7 71.9 - 61.0 59.0
Miles McBride Miles McBride G 43 25.4 11.6 2.3 2.5 0.8 0.2 0.8 9.6 7.0 - - - 41.9 41.3 78.7 - 57.3 55.7
Landry Shamet Landry Shamet G 53 22.1 9.0 1.8 1.4 0.6 0.2 0.6 7.0 5.3 - - - 43.1 38.7 71.1 - 59.1 57.1
Jordan Clarkson Jordan Clarkson G 74 17.1 8.6 1.8 1.3 0.4 0.1 0.9 7.3 4.1 - - - 45.4 32.6 82.3 - 54.9 51.9
Jose Alvarado Jose Alvarado G 29 16.2 6.4 2.0 3.8 1.0 0.1 1.1 5.9 6.3 - - - 40.7 32.6 68.2 - 51.2 49.7
Mitchell Robinson Mitchell Robinson C 62 19.0 5.7 8.6 0.9 0.9 1.2 0.7 3.4 13.2 - - - 73.2 0 40.4 - 68.2 73.2
Tyler Kolek Tyler Kolek G 62 11.3 4.4 1.6 2.7 0.4 0.1 0.9 4.0 4.3 - - - 43.5 38.6 70.0 - 53.3 52.4
Mohamed Diawara Mohamed Diawara F 69 8.7 3.6 1.4 0.8 0.2 0.1 0.4 3.1 2.5 - - - 42.3 36.9 75.0 - 55.0 53.5
Jeremy Sochan Jeremy Sochan F 16 6.3 2.8 2.1 0.8 0.4 0.1 0.2 1.8 4.1 - - - 58.6 22.2 80.0 - 65.9 62.1
Guerschon Yabusele Guerschon Yabusele F 41 8.4 2.7 2.1 0.4 0.1 0.1 0.4 2.6 2.6 - - - 39.3 29.4 66.7 - 49.9 48.6
Kevin McCullar Jr. - 21 6.9 2.4 1.3 1.0 0.4 0.0 0.6 2.2 2.3 - - - 42.6 33.3 40.0 - 50.8 51.1
Ariel Hukporti Ariel Hukporti C 54 8.7 2.2 3.0 0.5 0.2 0.5 0.6 1.5 4.2 - - - 56.2 25.0 78.8 - 61.9 56.9
Pacôme Dadiet Pacôme Dadiet F 29 4.2 1.7 0.9 0.4 0.1 0.0 0.1 1.7 1.4 - - - 33.3 21.9 81.8 - 45.4 40.6
Dillon Jones - 7 5.1 1.3 1.0 0.6 0.4 0.0 0.0 1.3 2.0 - - - 22.2 20.0 100.0 - 41.8 27.8
Trey Jemison III Trey Jemison III F 13 5.7 1.0 1.3 0.4 0.1 0.2 0.8 0.8 1.4 - - - 60.0 0 100.0 - 62.3 60.0
Tosan Evbuomwan Tosan Evbuomwan - 5 1.2 0.0 0.4 0.0 0.0 0.0 0.0 0.2 0.2 - - - 0.0 0 0 - 0.0 0.0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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