🐻⬇️🏀

Orlando Magic

Also known as: Orlando Magic
Program History

2026 Team Stats (76 games)

114.9
PPG
114.6
Opp
+0.9
Margin
46.2%
FG%
34.0%
3P%
80.9%
FT%
43.2
RPG
26.6
APG
13.5
TO
113.8
Pace
115.3
AdjO
113.8
AdjD
#13
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 → 999 (#18) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1038 (#13) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +65 elo More → 1062 (#10) HCA +65 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +1.7 More → +5.6 (#11) HCA +1.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.2 More → +3.8 (#14) HCA +2.2
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.536 (#14) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +0.7 More → 0.518 (#16) NetEff +0.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +1.2 More → 0.535 (#12) AdjNet +1.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +1.2 More → 0.536 (#12) AdjNet +1.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 115.3 | AdjD 113.8 More → 0.536 (#13) AdjO 115.3 | AdjD 113.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 112.5 | AdjD 109.9 More → 0.558 (#15) AdjO 112.5 | AdjD 109.9
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 → 0.622 (#13) 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 → 0.615 (#13) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 61 | GP 85 More → 1059 (#14) RD 61 | GP 85

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-10-22 vs MIA W 125 - 121
2025-10-24 vs ATL L 107 - 111
2025-10-25 vs CHI L 98 - 110
2025-10-27 @ PHI L 124 - 136
2025-10-29 @ DET L 116 - 135
2025-10-30 @ CHA W 123 - 107
2025-11-01 @ WAS W 125 - 94
2025-11-05 @ ATL L 112 - 127
2025-11-08 vs BOS W 123 - 110
2025-11-09 vs BOS L 107 - 111
2025-11-11 vs POR W 115 - 112
2025-11-13 @ NYK W 124 - 107
2025-11-15 vs BKN W 105 - 98
2025-11-17 @ HOU L 113 - 117
2025-11-19 vs GSW W 121 - 113
2025-11-21 vs LAC W 129 - 101
2025-11-22 vs NYK W 133 - 121
2025-11-23 @ BOS L 129 - 138
2025-11-26 @ PHI W 144 - 103
2025-11-29 @ DET W 112 - 109
2025-12-02 vs CHI W 125 - 120
2025-12-04 vs SAS L 112 - 114
2025-12-06 vs MIA W 106 - 105
2025-12-07 @ NYK L 100 - 106
2025-12-09 vs MIA W 117 - 108
2025-12-13 vs NYK L 120 - 132
2025-12-19 @ DEN L 115 - 126
2025-12-21 @ UTA W 128 - 127
2025-12-23 @ GSW L 97 - 120
2025-12-24 @ POR W 110 - 106
2025-12-27 vs CHA L 105 - 120
2025-12-28 vs DEN W 127 - 126
2025-12-30 @ TOR L 106 - 107
2025-12-31 @ IND W 112 - 110
2026-01-03 @ CHI L 114 - 121
2026-01-04 vs IND W 135 - 127
2026-01-07 @ WAS L 112 - 120
2026-01-08 @ BKN W 104 - 103
2026-01-10 vs PHI L 91 - 103
2026-01-11 vs NOP W 128 - 118
2026-01-15 vs MEM W 118 - 111
2026-01-18 @ MEM L 109 - 126
2026-01-23 vs CHA L 97 - 124
2026-01-25 vs CLE L 105 - 119
2026-01-27 @ CLE L 98 - 114
2026-01-29 @ MIA W 133 - 124
2026-01-31 vs TOR W 130 - 120
2026-02-02 @ SAS L 103 - 112
2026-02-04 @ OKC L 92 - 128
2026-02-06 vs BKN W 118 - 98
2026-02-08 vs UTA W 120 - 117
2026-02-10 vs MIL W 118 - 99
2026-02-12 vs MIL L 108 - 116
2026-02-20 @ SAC W 131 - 94
2026-02-21 @ PHX L 110 - 113
2026-02-23 @ LAC W 111 - 109
2026-02-25 @ LAL W 110 - 109
2026-02-27 vs HOU L 108 - 113
2026-03-01 vs DET L 92 - 106
2026-03-04 vs WAS W 126 - 109
2026-03-06 vs DAL W 115 - 114
2026-03-07 @ MIN W 119 - 92
2026-03-09 @ MIL W 130 - 91
2026-03-11 vs CLE W 128 - 122
2026-03-12 vs WAS W 136 - 131
2026-03-15 @ MIA W 121 - 117
2026-03-16 @ ATL L 112 - 124
2026-03-17 vs OKC L 108 - 113
2026-03-19 @ CHA L 111 - 130
2026-03-21 vs LAL L 104 - 105
2026-03-23 vs IND L 126 - 128
2026-03-25 @ CLE L 131 - 136
2026-03-26 vs SAC W 121 - 117
2026-03-29 @ TOR L 87 - 139
2026-03-31 vs PHX W 115 - 111
2026-04-01 vs ATL L 101 - 130
2026-04-04 @ DAL W 138 - 127
2026-04-05 @ NOP W 112 - 108
2026-04-06 vs DET W 123 - 107
2026-04-08 vs MIN W 132 - 120
2026-04-11 @ CHI W 127 - 103
2026-04-12 @ BOS L 108 - 113
2026-04-15 @ PHI L 97 - 109
2026-04-17 vs CHA W 121 - 90
2026-04-19 @ DET W 112 - 101

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%
Paolo Banchero Paolo Banchero F 75 34.3 22.2 8.3 5.2 0.7 0.6 3.1 16.1 17.8 - - - 45.9 30.3 77.1 - 56.4 49.5
Franz Wagner SF 37 29.4 20.2 5.2 3.4 0.9 0.3 1.7 14.6 13.8 - - - 48.2 34.0 82.3 - 58.8 52.8
Desmond Bane Desmond Bane G 85 33.2 20.1 4.2 4.1 1.1 0.4 2.0 14.8 13.1 - - - 48.1 38.7 90.9 - 60.5 55.0
Anthony Black Anthony Black G 67 29.1 14.7 3.9 3.7 1.4 0.7 2.0 11.9 10.4 - - - 44.4 32.6 72.4 - 54.5 50.8
Jalen Suggs Jalen Suggs G 60 27.3 13.6 3.9 5.4 1.9 0.7 2.6 11.4 11.6 - - - 43.1 33.6 85.7 - 55.7 52.5
Wendell Carter Jr. Wendell Carter Jr. C 81 28.9 11.9 7.4 2.0 0.8 0.7 1.3 8.1 13.3 - - - 51.7 32.3 78.7 - 62.1 57.3
Tristan da Silva Tristan da Silva F 80 23.9 9.7 3.7 1.6 0.8 0.3 0.9 7.9 7.3 - - - 45.3 37.4 88.4 - 57.7 54.9
Jevon Carter Jevon Carter G 31 19.5 6.9 2.0 2.2 0.9 0.3 0.8 6.6 4.9 - - - 40.2 33.6 55.6 - 51.7 51.5
Moritz Wagner Moritz Wagner F 37 11.2 6.7 3.2 0.7 0.4 0.1 0.5 5.3 5.2 - - - 42.1 31.0 81.9 - 54.0 47.7
Goga Bitadze Goga Bitadze C 67 14.7 5.8 5.0 1.3 0.6 1.0 0.7 3.4 9.5 - - - 67.8 18.2 72.5 - 70.6 68.3
Jamal Cain Jamal Cain F 43 11.6 5.4 1.9 0.7 0.3 0.1 0.5 3.8 4.0 - - - 49.4 37.7 84.0 - 62.8 58.3
Jett Howard Jett Howard G 56 12.0 5.4 1.6 0.8 0.2 0.2 0.3 4.5 3.4 - - - 41.7 37.4 94.9 - 56.1 52.6
Jase Richardson Jase Richardson G 55 10.2 4.4 1.2 1.1 0.3 0.0 0.5 3.5 3.1 - - - 47.4 35.0 71.7 - 57.3 54.7
Noah Penda Noah Penda F 60 12.2 3.9 3.1 1.2 0.5 0.3 0.7 3.4 4.8 - - - 41.0 32.3 68.8 - 51.1 48.3
Tyus Jones Tyus Jones G 48 15.2 3.0 1.1 2.4 0.7 0.1 0.3 3.3 3.7 - - - 34.0 29.4 100.0 - 44.5 43.4
Jonathan Isaac Jonathan Isaac F 52 9.5 2.6 2.5 0.4 0.4 0.6 0.3 2.1 4.1 - - - 42.2 18.4 60.3 - 49.8 45.4
Alex Morales Alex Morales - 4 5.5 2.0 0.8 1.0 0.0 0.0 1.0 1.8 1.0 - - - 42.9 0.0 100.0 - 50.8 42.9
Orlando Robinson Orlando Robinson C 4 5.8 1.8 1.0 0.8 0.2 0.0 0.0 1.2 2.5 - - - 60.0 50.0 0 - 70.0 70.0
Colin Castleton Colin Castleton C 4 5.0 1.2 2.0 0.2 0.2 0.0 0.5 1.2 2.0 - - - 40.0 0 100.0 - 46.0 40.0

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