My agent is leveraging a new formula to help determine my salary demands: Amongst eligible players from his draft class, he is ranked #90 out of 90 While we measure his overall statistical rank to be #578, our measurement of his skills are are ranked #546 which makes us feel he is being under-utilized. Therefore we believe a salary of 500 is fair. |
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Season | GP | MIN | FGM-A | 3PT | FT | PTS | REB(O/D/T) | AST | STL | BLK | TO | DFG | D3PT | PF |
41-MON | 53 | 1114:31 | 107/277 | 23/65 | 42/54 | 279 | 101/216/317 | 65 | 27 | 58 | 21 | 136/352 | 17/56 | 79 |
Avg | | 21:02 | 38.6% | 35.4% | 77.8% | 5.3 | 6.0 | 1.2 | 0.5 | 1.1 | 0.4 | 38.6% | 30.4% | |
TOTALS | 53 | 1114:31 | 107/277 | 23/65 | 42/54 | 279 | 101/216/317 | 65 | 27 | 58 | 21 | 136/352 | 17/56 | 79 |
Avg | 0 | 21:02 | 38.6% | 35.4% | 77.8% | 5.3 | 6.0 | 1.2 | 0.5 | 1.1 | 0.4 | 38.6% | 30.4% | |
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Season | GP | MIN | FGM-A | 3PT | FT | PTS | REB(O/D/T) | AST | STL | BLK | TO | DFG | D3PT | PF |
41-MON | 9 | 108:09 | 13/30 | 4/7 | 7/8 | 37 | 6/16/22 | 6 | 3 | 6 | 4 | 20/43 | 0/2 | 14 |
Avg | | 12:01 | 43.3% | 57.1% | 87.5% | 4.1 | 2.4 | 0.7 | 0.3 | 0.7 | 0.4 | 46.5% | 0.0% | |
TOTALS | 9 | 108:09 | 13/30 | 4/7 | 7/8 | 37 | 6/16/22 | 6 | 3 | 6 | 4 | 20/43 | 0/2 | 14 |
Avg | 0 | 12:01 | 43.3% | 57.1% | 87.5% | 4.1 | 2.4 | 0.7 | 0.0 | 0.1 | 0.4 | 46.5% | 0.0% | |
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Season | GP | MIN | FGM-A | 3PT | FT | PTS | REB(O/D/T) | AST | STL | BLK | TO | DFG | D3PT | PF |
40-MON | 53 | 1010:03 | 76/192 | 12/36 | 24/30 | 188 | 77/171/248 | 55 | 30 | 50 | 24 | 136/342 | 22/70 | 89 |
Avg | 53 | 19:03 | 39.6% | 33.3% | 80.0% | 3.5 | 4.7 | 1.0 | 0.6 | 0.9 | 0.5 | 39.8% | 31.4% | |
39-MON | 53 | 1080:40 | 96/244 | 11/44 | 49/64 | 252 | 93/219/312 | 57 | 38 | 54 | 22 | 181/408 | 23/64 | 86 |
Avg | 9 | 20:23 | 39.3% | 25.0% | 76.6% | 4.8 | 5.9 | 1.1 | 0.7 | 1.0 | 0.4 | 44.4% | 35.9% | |
38-MON | 53 | 684:06 | 55/182 | 8/33 | 45/57 | 163 | 56/144/200 | 27 | 14 | 26 | 28 | 101/220 | 12/37 | 59 |
Avg | 0 | 12:54 | 30.2% | 24.2% | 78.9% | 3.1 | 3.8 | 0.5 | 0.3 | 0.5 | 0.5 | 45.9% | 32.4% | |
TOTALS | 159 | 2774:49 | 227/618 | 31/113 | 118/151 | 603 | 226/534/760 | 139 | 82 | 130 | 74 | 418/970 | 57/171 | 234 |
Avg | 62 | 17:27 | 36.7% | 27.4% | 78.1% | 3.8 | 4.8 | 0.9 | 0.4 | 0.6 | 0.5 | 43.1% | 33.3% | |
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Season | GP | MIN | FGM-A | 3PT | FT | PTS | REB(O/D/T) | AST | STL | BLK | TO | DFG | D3PT | PF |
40-MON | 25 | 459:20 | 36/85 | 11/16 | 13/16 | 96 | 33/77/110 | 20 | 14 | 17 | 8 | 53/134 | 11/19 | 26 |
Avg | 25 | 18:22 | 42.4% | 68.8% | 81.3% | 3.8 | 4.4 | 0.8 | 0.6 | 0.7 | 0.3 | 39.6% | 57.9% | |
39-MON | 21 | 451:09 | 38/106 | 5/16 | 29/30 | 110 | 35/78/113 | 24 | 20 | 22 | 19 | 71/153 | 19/43 | 38 |
Avg | 8 | 21:29 | 35.8% | 31.3% | 96.7% | 5.2 | 5.4 | 1.1 | 1.0 | 1.0 | 0.9 | 46.4% | 44.2% | |
TOTALS | 46 | 910:29 | 74/191 | 16/32 | 42/46 | 206 | 68/155/223 | 44 | 34 | 39 | 27 | 124/287 | 30/62 | 64 |
Avg | 33 | 19:48 | 38.7% | 50.0% | 91.3% | 4.5 | 4.8 | 1.0 | 0.1 | 0.1 | 0.6 | 43.2% | 48.4% | |
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