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Miami Heat

Also known as: Miami Heat
Program History

2026 Team Stats (77 games)

118.8
PPG
118.6
Opp
+2.3
Margin
46.7%
FG%
36.0%
3P%
79.0%
FT%
45.6
RPG
28.6
APG
12.7
TO
115.7
Pace
118.4
AdjO
116.8
AdjD
#12
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 → 990 (#19) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 997 (#19) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +65 elo More → 972 (#25) HCA +65 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +1.7 More → +5.3 (#13) HCA +1.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.2 More → +2.2 (#16) HCA +2.2
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.529 (#15) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +1.1 More → 0.529 (#14) NetEff +1.1
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +1.2 More → 0.535 (#13) AdjNet +1.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +1.2 More → 0.535 (#13) AdjNet +1.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 118.4 | AdjD 116.8 More → 0.537 (#12) AdjO 118.4 | AdjD 116.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 119.7 | AdjD 118.5 More → 0.527 (#17) AdjO 119.7 | AdjD 118.5
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 → 0.544 (#18) 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 → 0.531 (#18) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 67 | GP 85 More → 981 (#21) RD 67 | GP 85

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-10-22 @ ORL L 121 - 125
2025-10-25 @ MEM W 146 - 114
2025-10-26 vs NYK W 115 - 107
2025-10-28 vs CHA W 144 - 117
2025-10-31 @ SAS L 101 - 107
2025-11-03 @ LAL L 120 - 130
2025-11-04 @ LAC W 120 - 119
2025-11-06 @ DEN L 112 - 122
2025-11-08 vs CHA W 126 - 108
2025-11-09 vs POR W 136 - 131
2025-11-11 vs CLE W 140 - 138
2025-11-13 vs CLE L 116 - 130
2025-11-15 @ NYK L 132 - 140
2025-11-18 vs NYK W 115 - 113
2025-11-20 vs GSW W 110 - 96
2025-11-22 @ CHI W 143 - 107
2025-11-23 @ PHI W 127 - 117
2025-11-25 vs DAL W 106 - 102
2025-11-27 vs MIL W 106 - 103
2025-11-30 vs DET L 135 - 138
2025-12-02 vs LAC W 140 - 123
2025-12-04 @ DAL L 108 - 118
2025-12-06 @ ORL L 105 - 106
2025-12-07 vs SAC L 111 - 127
2025-12-09 @ ORL L 108 - 117
2025-12-16 vs TOR L 96 - 106
2025-12-19 @ BKN W 106 - 95
2025-12-20 @ BOS L 116 - 129
2025-12-21 @ NYK L 125 - 132
2025-12-24 vs TOR L 91 - 112
2025-12-27 @ ATL W 126 - 111
2025-12-28 vs IND W 142 - 116
2025-12-30 vs DEN W 147 - 123
2026-01-02 @ DET W 118 - 112
2026-01-03 vs MIN L 115 - 125
2026-01-04 vs NOP W 125 - 106
2026-01-07 @ MIN L 94 - 122
2026-01-11 @ IND L 99 - 123
2026-01-12 @ OKC L 112 - 124
2026-01-14 vs PHX W 127 - 121
2026-01-16 vs BOS L 114 - 119
2026-01-18 vs OKC W 122 - 120
2026-01-20 @ GSW L 112 - 135
2026-01-21 @ SAC W 130 - 117
2026-01-23 @ POR L 110 - 127
2026-01-25 @ UTA W 147 - 116
2026-01-26 @ PHX W 111 - 102
2026-01-29 vs ORL L 124 - 133
2026-01-30 @ CHI W 116 - 113
2026-02-01 vs CHI W 134 - 91
2026-02-01 vs CHI L 118 - 125
2026-02-04 vs ATL L 115 - 127
2026-02-07 @ BOS L 96 - 98
2026-02-08 @ WAS W 132 - 101
2026-02-10 vs UTA L 111 - 115
2026-02-12 @ NOP W 123 - 111
2026-02-21 @ ATL W 128 - 97
2026-02-22 vs MEM W 136 - 120
2026-02-25 @ MIL L 117 - 128
2026-02-27 @ PHI L 117 - 124
2026-02-28 vs HOU W 115 - 105
2026-03-04 vs BKN W 124 - 98
2026-03-06 vs BKN W 126 - 110
2026-03-07 @ CHA W 128 - 120
2026-03-08 vs DET W 121 - 110
2026-03-10 vs WAS W 150 - 129
2026-03-12 vs MIL W 112 - 105
2026-03-15 vs ORL L 117 - 121
2026-03-17 @ CHA L 106 - 136
2026-03-20 vs LAL L 126 - 134
2026-03-22 @ HOU L 122 - 123
2026-03-23 vs SAS L 111 - 136
2026-03-25 @ CLE W 120 - 103
2026-03-27 @ CLE L 128 - 149
2026-03-29 @ IND L 118 - 135
2026-03-30 vs PHI W 119 - 109
2026-04-01 vs BOS L 129 - 147
2026-04-04 vs WAS W 152 - 136
2026-04-07 @ TOR L 95 - 121
2026-04-09 @ TOR L 114 - 128
2026-04-10 @ WAS W 140 - 117
2026-04-12 vs ATL W 143 - 117
2026-04-14 @ CHA L 126 - 127

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%
Norman Powell Norman Powell G 59 28.9 21.6 3.5 2.4 1.1 0.2 1.9 15.3 11.5 - - - 47.1 38.1 82.7 - 60.9 55.8
Tyler Herro Tyler Herro G 34 31.0 20.6 4.7 4.2 0.7 0.4 1.9 15.7 12.9 - - - 47.7 38.2 92.1 - 60.0 55.8
Bam Adebayo Bam Adebayo C 74 31.7 19.9 9.9 3.1 1.2 0.7 1.6 15.5 17.7 - - - 44.3 31.8 77.8 - 55.2 49.9
Andrew Wiggins Andrew Wiggins F 69 30.0 15.5 4.9 2.7 1.1 1.0 1.5 12.2 11.6 - - - 47.7 41.6 78.8 - 58.8 56.1
Jaime Jaquez Jr. Jaime Jaquez Jr. F 76 27.9 15.3 5.0 4.7 0.7 0.3 2.0 12.2 11.8 - - - 50.5 31.7 76.6 - 56.9 53.8
Pelle Larsson Pelle Larsson G 71 25.8 11.4 3.5 3.4 0.7 0.2 1.5 7.9 9.8 - - - 49.6 32.1 79.5 - 60.5 55.1
Kel'el Ware Kel'el Ware C 78 21.9 11.1 9.1 0.8 0.8 1.1 0.8 8.5 13.6 - - - 52.9 39.2 74.7 - 61.5 60.0
Davion Mitchell Davion Mitchell G 71 28.4 9.6 2.7 6.5 1.0 0.2 1.5 7.9 10.5 - - - 48.9 39.7 63.6 - 58.1 57.3
Simone Fontecchio Simone Fontecchio F 71 16.1 8.4 3.0 1.4 0.5 0.1 0.7 6.6 6.2 - - - 41.2 37.5 84.3 - 57.9 54.2
Nikola Jović Nikola Jović F 47 16.7 7.3 3.3 2.2 0.6 0.4 1.4 6.7 5.6 - - - 36.5 26.8 68.3 - 47.9 43.7
Kasparas Jakučionis Kasparas Jakučionis G 53 17.3 6.2 2.6 2.6 0.6 0.1 0.9 4.5 6.7 - - - 43.0 42.6 87.9 - 61.6 57.0
Dru Smith Dru Smith G 70 15.8 5.6 2.5 2.6 1.4 0.3 0.8 4.6 7.0 - - - 41.5 29.5 82.9 - 53.2 47.4
Keshad Johnson Keshad Johnson F 32 8.2 4.2 1.9 0.2 0.5 0.2 0.4 3.3 3.4 - - - 48.6 29.5 72.4 - 57.7 54.8
Myron Gardner Myron Gardner F 45 8.6 3.6 2.7 1.0 0.4 0.2 0.4 2.7 4.8 - - - 48.0 40.6 73.1 - 60.6 58.5
Jahmir Young Jahmir Young G 14 3.6 1.8 0.3 0.6 0.1 0.0 0.2 1.8 0.8 - - - 40.0 33.3 100.0 - 48.3 46.0
Trevor Keels Trevor Keels - 8 1.4 1.0 0.2 0.0 0.1 0.0 0.0 1.5 -0.1 - - - 25.0 22.2 0 - 33.3 33.3
Vladislav Goldin Vladislav Goldin C 9 2.2 0.8 1.0 0.3 0.0 0.3 0.3 0.4 1.7 - - - 75.0 0 100.0 - 78.8 75.0

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