Giannis Antetokounmpo

Milwaukee Bucks | 34 | PF,C GTD

Value Ranking Period Games Mins PTS PT3 REB AST STL BLK FG% FGA FT% FTA TO vPTS vPT3 vREB vAST vSTL vBLK vFG% vFT% vTO
0.06 50 last 2 weeks 3 29:58 28.33 0.00 10.67 6.00 1.33 1.67 0.55 20.00 0.58 11.00 4.00 1.67 -1.28 1.81 0.77 0.61 1.39 0.83 -3.20 -2.01
0.29 18 last month 11 30:28 30.73 0.45 11.18 6.73 1.27 0.82 0.62 19.36 0.59 10.27 3.73 2.17 -1.02 2.17 1.10 0.63 0.28 2.86 -3.45 -2.14
0.07 54 last 2 months 18 29:09 27.83 0.56 10.61 6.50 0.89 0.89 0.59 17.78 0.64 10.06 3.78 1.62 -1.00 1.99 1.00 -0.15 0.42 2.01 -3.04 -2.22
-0.17 109 first 3 months 35 33:43 31.00 0.71 11.94 5.34 0.80 0.91 0.52 20.83 0.65 12.94 4.03 2.17 -0.93 2.49 0.72 -0.47 0.51 1.11 -4.62 -2.47
0.00 63 22/23 63 32:07 31.10 0.75 11.79 5.70 0.83 0.81 0.55 20.29 0.65 12.25 3.92 2.16 -0.84 2.45 0.78 -0.38 0.32 1.59 -3.66 -2.40
0.50 8 21/22 67 32:53 29.88 1.06 11.61 5.79 1.07 1.36 0.55 18.57 0.72 11.43 3.27 2.36 -0.63 2.21 0.94 0.17 1.38 1.84 -2.22 -1.50
0.41 13 20/21 60 33:03 28.15 1.12 11.12 5.88 1.20 1.23 0.57 18.07 0.68 9.57 3.45 1.97 -0.62 2.11 0.98 0.54 1.09 2.34 -2.95 -1.81
0.33 17 19/20 57 30:25 29.67 1.46 13.75 5.77 1.05 1.02 0.55 19.98 0.64 10.00 3.67 2.33 -0.13 2.89 1.08 0.19 0.60 2.07 -4.10 -1.95
0.72 5 18/19 72 32:12 27.69 0.72 12.50 5.89 1.26 1.53 0.58 17.33 0.73 9.53 3.71 2.15 -0.70 2.33 1.10 0.61 1.57 2.83 -1.23 -2.22
0.64 7 17/18 75 35:19 26.85 0.57 10.08 4.79 1.45 1.40 0.53 18.69 0.76 8.55 2.95 2.30 -1.06 1.72 0.76 1.02 1.48 1.71 -0.85 -1.32
0.72 4 16/17 80 35:31 22.85 0.61 8.74 5.43 1.65 1.85 0.52 15.69 0.77 7.65 2.91 1.37 -0.77 1.17 1.06 1.61 2.26 1.39 -0.28 -1.33
0.22 28 15/16 80 34:48 16.88 0.35 7.64 4.31 1.18 1.41 0.51 12.66 0.72 5.11 2.60 0.51 -0.85 0.83 0.57 0.31 1.30 0.99 -0.69 -0.98
Upcoming games
  • @PHI 2023-10-26
  • @ATL 2023-10-29
  • @MIA 2023-10-30
  • TOR 2023-11-01
  • @NYK 2023-11-03
Value Date Opp W/L Score Mins PTS PT3 REB AST STL BLK FG% FGA FT% FTA TO vPTS vPT3 vREB vAST vSTL vBLK vFG% vFT% vTO
2023-04-04 WAS W 140-128 32:48 28 0 11 10 2 1 56.0 % 16 58.0 % 17 8
2023-04-02 PHI W 117-104 31:49 33 0 14 6 1 3 76.0 % 17 53.0 % 13 4
2023-03-30 BOS L 99-140 25:17 24 0 7 2 1 1 40.0 % 27 66.0 % 3 0
2023-03-29 IND W 149-136 32:10 38 0 17 12 1 0 77.0 % 18 71.0 % 14 5
2023-03-25 DEN L 106-129 32:28 31 0 9 4 4 0 59.0 % 22 71.0 % 7 4
2023-03-24 UTA W 144-116 24:51 24 1 6 11 2 0 76.0 % 13 50.0 % 6 4
2023-03-22 SAS W 130-94 23:46 31 1 14 2 0 1 60.0 % 23 40.0 % 5 2
2023-03-19 TOR W 118-111 36:06 22 1 13 10 0 2 100.0 % 9 42.0 % 7 3
2023-03-16 IND L 123-139 26:34 25 0 9 5 1 0 58.0 % 17 50.0 % 10 3
2023-03-14 PHX W 116-104 35:27 36 0 11 8 1 1 47.0 % 23 58.0 % 24 3
2023-03-13 SAC W 133-124 33:57 46 2 12 4 1 0 67.0 % 28 85.0 % 7 5
2023-03-05 WAS W 117-111 36:13 23 0 9 13 0 3 54.0 % 11 73.0 % 15 3
2023-03-04 PHI L 130-133 35:25 34 0 13 4 1 1 42.0 % 21 88.0 % 18 7
2023-03-01 ORL W 139-117 27:42 31 3 7 6 0 1 71.0 % 14 80.0 % 10 3
2023-02-28 BKN W 118-104 28:28 33 1 15 4 1 0 55.0 % 27 33.0 % 6 5
2023-02-24 MIA W 128-99 6:28 4 0 4 4 0 0 50.0 % 4 0.0 % 0 0
2023-02-16 CHI W 112-100 9:19 2 0 7 3 0 0 25.0 % 4 0.0 % 0 1
2023-02-14 BOS W 131-125 45:55 36 1 13 9 0 2 46.0 % 26 57.0 % 19 8
2023-02-10 LAC W 119-106 30:28 35 1 8 6 2 0 52.0 % 25 72.0 % 11 2
2023-02-09 LAL W 115-106 35:56 38 1 10 6 1 1 60.0 % 23 69.0 % 13 2
2023-02-06 POR W 127-108 22:53 24 0 13 8 0 0 64.0 % 14 75.0 % 8 6
2023-02-04 MIA W 123-115 35:58 35 0 15 11 1 1 68.0 % 19 56.0 % 16 3
2023-02-02 LAC W 106-105 36:26 54 2 19 2 0 0 53.0 % 39 66.0 % 15 3
2023-01-31 CHA W 124-115 35:35 34 1 18 4 0 0 58.0 % 24 83.0 % 6 4
2023-01-29 NOP W 135-110 30:21 50 3 13 4 0 0 76.0 % 26 58.0 % 12 3
2023-01-27 IND W 141-131 33:45 41 2 12 6 1 1 55.0 % 29 38.0 % 18 2
2023-01-25 DEN W 107-99 30:48 33 0 14 4 3 0 60.0 % 15 68.0 % 22 9
2023-01-23 DET W 150-130 26:32 29 2 12 4 0 0 53.0 % 15 64.0 % 17 4
2023-01-11 ATL W 114-105 34:57 7 0 18 10 0 1 30.0 % 10 25.0 % 4 1
2023-01-09 NYK W 111-107 36:26 22 1 10 5 0 2 40.0 % 15 75.0 % 12 4
2023-01-06 CHA L 109-138 21:58 9 0 4 0 0 0 28.0 % 7 45.0 % 11 3
2023-01-04 TOR W 104-101 39:42 30 1 21 10 0 1 38.0 % 18 71.0 % 21 12
2023-01-03 WAS W 123-113 36:34 55 0 10 7 2 0 60.0 % 33 93.0 % 16 5
2022-12-30 MIN W 123-114 37:50 43 1 20 5 1 2 60.0 % 23 66.0 % 21 5
2022-12-28 CHI L 113-119 42:15 45 0 22 7 1 0 43.0 % 39 64.0 % 17 5
2022-12-25 BOS L 118-139 35:20 27 1 9 3 0 0 40.0 % 22 66.0 % 12 3
2022-12-23 BKN L 100-118 35:54 26 0 13 7 2 0 69.0 % 13 72.0 % 11 7
2022-12-21 CLE L 106-114 39:36 45 0 14 4 1 2 63.0 % 27 68.0 % 16 5
2022-12-19 NOP W 128-119 33:58 42 1 10 1 0 1 70.0 % 17 77.0 % 22 2
2022-12-15 MEM L 101-142 25:36 19 1 6 5 1 0 38.0 % 13 61.0 % 13 1
2022-12-13 GSW W 128-111 29:52 30 1 12 5 1 1 34.0 % 26 64.0 % 17 4
2022-12-11 HOU L 92-97 36:46 16 0 18 4 1 2 41.0 % 17 33.0 % 6 3
2022-12-09 DAL W 106-105 35:08 28 1 10 3 1 0 50.0 % 20 70.0 % 10 7
2022-12-07 SAC W 126-113 32:44 35 2 6 7 1 0 63.0 % 19 90.0 % 10 3
2022-12-05 ORL W 109-102 33:13 34 2 13 5 1 2 57.0 % 21 72.0 % 11 4
2022-12-02 LAL L 129-133 35:05 40 0 7 5 0 1 69.0 % 23 72.0 % 11 4
2022-11-30 NYK W 109-103 36:37 37 2 13 7 0 1 52.0 % 25 75.0 % 12 3
2022-11-27 DAL W 124-115 29:25 30 0 11 4 1 0 57.0 % 19 80.0 % 10 3
2022-11-25 CLE W 117-102 30:58 38 2 9 6 0 2 65.0 % 20 71.0 % 14 3
2022-11-23 CHI L 113-118 34:00 36 0 11 7 0 0 55.0 % 27 66.0 % 9 8
2022-11-21 POR W 119-111 35:05 37 0 7 6 2 0 66.0 % 24 41.0 % 12 1
2022-11-18 PHI L 102-110 34:16 25 1 14 4 1 1 45.0 % 22 26.0 % 15 5
2022-11-16 CLE W 113-98 31:32 16 0 12 8 0 0 33.0 % 18 36.0 % 11 2
2022-11-14 ATL L 106-121 30:55 27 0 8 4 1 0 38.0 % 21 61.0 % 18 8
2022-11-07 ATL L 98-117 26:47 25 0 7 2 2 1 45.0 % 20 87.0 % 8 5
2022-11-04 MIN W 115-102 33:35 26 2 14 11 0 0 41.0 % 17 50.0 % 20 4
2022-11-02 DET W 116-91 29:31 32 0 12 4 5 2 45.0 % 24 83.0 % 12 1
2022-10-31 DET W 110-108 31:43 31 0 7 2 0 2 52.0 % 23 77.0 % 9 4
2022-10-29 ATL W 123-115 32:37 34 1 17 4 0 1 50.0 % 22 57.0 % 19 2
2022-10-28 NYK W 119-108 38:56 30 1 14 9 1 1 50.0 % 22 63.0 % 11 2
2022-10-26 BKN W 110-99 37:52 43 1 14 5 1 3 64.0 % 25 71.0 % 14 7
2022-10-22 HOU W 125-105 27:38 44 2 12 3 0 0 81.0 % 21 61.0 % 13 4
2022-10-20 PHI W 90-88 36:04 21 1 13 8 1 3 56.0 % 16 40.0 % 5 1

Comparison criteria:

Search

Want to check other players? Get full power of the Similar Players tool

Similiar Players:

{{similarPlayer.Name}}
{{similarPlayer.Position}} | {{similarPlayer.Team}}
VALUE {{similarPlayer.TotalValue}} DIFF {{(similarPlayer.TotalValue - Similarities.TotalValue).toFixed(2)}}
{{similarPlayer.Percentage}}%
similarity

What is similar player

Similar players in fantasy basketball refer to players who have similar statistical profiles and overall value in fantasy leagues. These players can be used as alternatives when making roster decisions and help fantasy players fill specific needs on their team. By identifying similar players, fantasy players can better understand the pool and make more informed decisions about their roster.

Period Games Mins PTS PT3 REB AST STL BLK FG% FGA FT% FTA TO
fb-ninja projections 63 32:36 30.65 0.95 11.70 5.74 0.93 1.06 0.55 19.47 0.69 11.86 3.61

Put your projections below

You need to sign up or log in to create your custome projections