Mike Conley

Minnesota Timberwolves | 10 | PG

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
-0.13 98 last week 1 34:27 17.00 1.00 2.00 7.00 1.00 0.00 0.45 11.00 0.86 7.00 1.00 0.07 -0.58 -1.14 1.09 -0.06 -0.74 -0.66 0.34 0.50
0.07 49 last 2 weeks 4 33:37 17.75 2.50 2.50 5.25 1.25 0.25 0.51 9.75 0.88 6.00 1.25 0.11 0.49 -1.21 0.49 0.47 -0.64 0.02 0.45 0.43
0.09 48 last month 13 32:03 16.23 2.62 3.31 4.92 1.23 0.15 0.50 10.38 0.86 3.85 1.08 -0.19 0.81 -1.03 0.36 0.54 -0.87 -0.12 0.39 0.87
-0.02 73 last 2 months 22 31:56 14.00 2.36 3.32 5.09 1.23 0.18 0.45 9.95 0.87 3.05 1.09 -0.51 0.56 -1.00 0.43 0.62 -0.84 -0.64 0.33 0.86
-0.26 140 first 3 months 35 29:25 10.29 1.77 2.26 7.46 1.00 0.17 0.39 8.80 0.79 2.17 1.63 -0.99 0.09 -1.48 1.67 0.07 -0.93 -1.12 -0.07 0.37
-0.13 104 22/23 66 30:21 11.79 1.97 2.74 6.74 1.11 0.21 0.42 9.11 0.84 2.50 1.53 -0.80 0.31 -1.31 1.24 0.33 -0.85 -0.81 0.17 0.50
-0.04 69 21/22 73 28:32 13.70 2.33 3.00 5.34 1.36 0.29 0.44 11.01 0.79 2.25 1.70 -0.42 0.66 -1.12 0.75 0.91 -0.79 -0.51 -0.02 0.18
0.07 58 20/21 51 29:21 16.22 2.71 3.45 5.98 1.37 0.18 0.44 12.55 0.85 2.78 1.94 -0.03 0.91 -0.95 1.02 1.03 -0.96 -0.65 0.36 -0.10
-0.37 182 19/20 41 28:08 13.83 1.95 3.24 4.34 0.78 0.10 0.41 11.85 0.79 2.85 1.85 -0.38 0.35 -1.06 0.42 -0.55 -1.06 -1.17 0.04 0.08
0.24 27 18/19 70 33:00 21.11 2.21 3.40 6.41 1.34 0.31 0.44 16.00 0.84 5.80 1.86 0.98 0.79 -1.00 1.34 0.81 -0.72 -0.96 0.90 -0.02
-0.34 165 17/18 14 26:42 14.64 1.71 1.93 3.50 0.86 0.21 0.38 12.00 0.80 4.71 1.29 -0.11 0.22 -1.38 0.14 -0.38 -0.86 -1.47 0.08 0.69
0.32 24 16/17 68 33:07 20.38 2.47 3.56 6.24 1.35 0.28 0.46 14.56 0.86 5.29 2.29 0.94 1.28 -0.80 1.43 0.85 -0.71 -0.26 0.79 -0.61
0.06 54 15/16 56 31:00 15.30 1.39 2.93 6.11 1.20 0.29 0.42 12.43 0.83 4.09 1.50 0.20 0.30 -1.11 1.39 0.36 -0.67 -0.91 0.58 0.38
Upcoming games
  • TOR 2023-10-25
  • @MIA 2023-10-28
  • ATL 2023-10-30
  • @DEN 2023-11-01
  • @UTA 2023-11-04
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
2023-04-09 NOP W 113-108 34:27 17 1 2 7 1 0 45.0 % 11 85.0 % 7 1
2023-04-04 BKN W 107-102 33:02 18 3 1 1 1 1 66.0 % 9 75.0 % 4 1
2023-04-02 POR L 105-107 35:27 11 2 4 6 0 0 25.0 % 8 100.0 % 5 1
2023-03-31 LAL L 111-123 31:35 25 4 3 7 3 0 63.0 % 11 87.0 % 8 2
2023-03-29 PHX L 100-107 31:32 7 1 9 4 1 0 23.0 % 13 0.0 % 0 1
2023-03-27 SAC W 119-115 27:30 16 1 2 3 1 0 75.0 % 8 75.0 % 4 0
2023-03-26 GSW W 99-96 31:23 12 4 2 2 2 0 36.0 % 11 0.0 % 2 2
2023-03-22 ATL W 125-124 30:05 13 2 3 6 0 0 36.0 % 11 100.0 % 3 0
2023-03-20 NYK W 140-134 32:15 24 3 4 11 2 1 54.0 % 11 100.0 % 9 2
2023-03-18 TOR L 107-122 26:02 12 0 2 3 1 0 50.0 % 8 100.0 % 4 1
2023-03-17 CHI L 131-139 45:58 28 8 5 6 3 0 64.0 % 14 100.0 % 2 1
2023-03-15 BOS L 102-104 29:48 7 2 5 2 0 0 28.0 % 7 100.0 % 1 1
2023-03-13 ATL W 136-115 27:47 21 3 1 6 1 0 69.0 % 13 0.0 % 1 1
2023-03-10 BKN L 123-124 40:56 11 1 6 7 2 1 23.0 % 13 80.0 % 5 2
2023-03-07 PHI L 94-117 24:21 6 1 0 3 2 0 16.0 % 6 100.0 % 3 2
2023-03-04 SAC W 138-134 30:20 24 4 3 3 0 0 58.0 % 12 100.0 % 6 0
2023-03-03 LAL W 110-102 30:44 14 2 6 3 0 0 54.0 % 11 0.0 % 0 1
2023-02-28 LAC W 108-101 29:14 6 2 5 7 3 0 25.0 % 8 0.0 % 0 1
2023-02-26 GSW L 104-109 33:50 9 3 3 7 1 1 42.0 % 7 0.0 % 0 1
2023-02-24 CHA L 113-121 30:37 15 2 2 3 0 0 46.0 % 13 100.0 % 1 1
2023-02-16 WAS L 106-114 33:27 0 0 2 6 2 0 0.0 % 6 0.0 % 0 0
2023-02-13 DAL W 124-121 32:28 12 3 3 9 1 0 50.0 % 8 50.0 % 2 2
2023-02-10 MEM L 107-128 25:42 9 1 1 3 2 0 42.0 % 7 100.0 % 2 3
2023-02-06 DAL L 111-124 31:14 10 1 1 11 0 0 50.0 % 8 100.0 % 1 2
2023-02-03 ATL L 108-115 30:00 20 2 2 8 1 0 77.0 % 9 66.0 % 6 5
2023-02-01 TOR W 131-128 31:05 19 0 3 8 0 2 62.0 % 8 100.0 % 9 3
2023-01-28 DAL W 108-100 33:43 4 0 5 11 4 0 25.0 % 8 0.0 % 0 3
2023-01-25 POR L 124-134 31:50 8 2 5 10 2 0 50.0 % 6 0.0 % 0 3
2023-01-23 CHA W 120-102 27:17 14 4 3 3 1 1 41.0 % 12 0.0 % 0 0
2023-01-20 BKN L 106-117 32:10 9 1 5 9 1 0 25.0 % 8 100.0 % 4 1
2023-01-18 LAC W 126-103 28:43 17 5 4 9 0 1 75.0 % 8 0.0 % 0 0
2023-01-16 MIN W 126-125 30:18 14 3 8 6 0 0 62.0 % 8 100.0 % 1 0
2023-01-14 PHI L 117-118 29:10 14 2 1 8 1 0 33.0 % 9 85.0 % 7 0
2023-01-10 CLE W 116-114 32:51 13 1 0 4 0 0 44.0 % 9 100.0 % 4 3
2023-01-08 MEM L 118-123 28:07 7 0 0 8 1 0 33.0 % 9 100.0 % 1 3
2023-01-07 CHI L 118-126 27:52 9 3 2 7 0 0 33.0 % 9 0.0 % 0 1
2023-01-05 HOU W 131-114 31:50 9 1 4 11 0 0 30.0 % 10 100.0 % 2 0
2023-01-03 SAC L 115-117 33:19 18 2 1 7 3 0 60.0 % 10 80.0 % 5 1
2022-12-31 MIA L 123-126 30:57 9 1 4 8 0 0 28.0 % 7 100.0 % 4 4
2022-12-30 SAC L 125-126 29:49 17 4 2 8 1 0 36.0 % 11 83.0 % 6 3
2022-12-28 GSW L 107-112 32:19 5 1 2 10 1 0 18.0 % 11 0.0 % 0 3
2022-12-26 SAS L 122-126 32:53 17 5 5 6 3 1 50.0 % 12 0.0 % 0 3
2022-12-22 WAS W 120-112 27:14 8 0 0 6 0 0 42.0 % 7 100.0 % 2 1
2022-12-20 DET W 126-111 26:14 7 1 3 7 1 0 42.0 % 7 0.0 % 1 0
2022-12-19 CLE L 99-122 28:23 7 1 2 9 2 0 37.0 % 8 0.0 % 0 3
2022-12-17 MIL L 97-123 25:22 4 0 1 4 1 0 33.0 % 6 0.0 % 0 0
2022-12-15 NOP W 132-129 32:15 4 0 2 6 0 0 12.0 % 8 33.0 % 6 2
2022-12-13 NOP W 121-100 28:52 7 2 0 6 1 0 25.0 % 8 100.0 % 1 3
2022-12-09 MIN L 108-118 24:32 17 3 1 6 0 0 54.0 % 11 100.0 % 2 2
2022-11-19 POR W 118-113 9:05 0 0 1 3 1 0 0.0 % 1 0.0 % 0 0
2022-11-18 PHX W 134-133 30:16 13 4 4 10 1 1 44.0 % 9 50.0 % 2 2
2022-11-15 NYK L 111-118 33:53 10 1 4 7 4 0 30.0 % 10 100.0 % 3 1
2022-11-13 PHI L 98-105 31:32 3 1 1 8 0 0 14.0 % 7 0.0 % 0 3
2022-11-12 WAS L 112-121 29:41 3 0 3 10 1 0 12.0 % 8 100.0 % 1 2
2022-11-09 ATL W 125-119 28:43 7 0 1 13 0 0 33.0 % 6 75.0 % 4 1
2022-11-07 LAL W 139-116 23:46 14 3 1 12 0 0 71.0 % 7 50.0 % 2 0
2022-11-06 LAC W 110-102 32:59 17 2 7 4 2 0 53.0 % 13 100.0 % 1 1
2022-11-04 LAL W 130-116 31:20 15 2 2 10 1 0 54.0 % 11 100.0 % 1 2
2022-11-02 DAL L 100-103 32:47 11 1 1 8 1 0 37.0 % 8 100.0 % 4 3
2022-10-31 MEM W 121-105 30:15 15 5 2 5 1 0 55.0 % 9 0.0 % 0 0
2022-10-28 DEN L 101-117 23:28 14 4 2 5 0 0 57.0 % 7 100.0 % 2 0
2022-10-26 HOU W 109-101 27:46 13 3 3 5 1 0 36.0 % 11 50.0 % 4 3
2022-10-24 HOU L 108-114 27:18 7 0 2 7 3 2 50.0 % 6 33.0 % 3 2
2022-10-23 NOP W 122-121 36:18 7 1 2 8 0 1 25.0 % 12 0.0 % 0 1
2022-10-21 MIN W 132-126 36:13 12 3 3 11 2 0 26.0 % 15 50.0 % 2 1
2022-10-19 DEN W 123-102 32:02 13 2 2 8 2 1 37.0 % 8 100.0 % 5 3

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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 66 27:12 11.00 1.86 2.44 4.78 1.05 0.21 0.43 8.76 0.80 1.93 1.38

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