played in 60% of team games
Rk | Name | gp | gs | min | off | def | reb | pf | dq | ast | to | a/to | stl | blk | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | A Gannon | Fulton-Montgomery | 23 | 23 | 173 | 153 | 194 | 347 | 39 | - | 83 | 71 | 1.2 | 104 | 18 |
2 | P Beard | Dallas College - Richland | 17 | 17 | 657 | 49 | 80 | 129 | 44 | - | 38 | 58 | 0.7 | 62 | 5 |
3 | D Piekarski | Minnesota North College - Rainy River | 24 | 24 | 896 | 129 | 204 | 333 | 44 | - | 76 | 58 | 1.3 | 86 | 41 |
4 | A Hamilton | Nassau | 26 | 25 | 326 | 94 | 121 | 215 | 81 | 3 | 49 | 66 | 0.7 | 110 | 16 |
5 | O Hayenga | Minnesota West | 33 | 33 | 1098 | 91 | 307 | 398 | 70 | 2 | 165 | 142 | 1.2 | 115 | 79 |
6 | G Harris | Dallas College - Mountain View | 18 | 17 | 18 | 35 | 68 | 103 | 41 | 2 | 99 | 59 | 1.7 | 63 | 0 |
7 | D Smith | Monroe College - Bronx | 33 | 31 | 1121 | 64 | 106 | 170 | 90 | 2 | 143 | 209 | 0.7 | 150 | 5 |
8 | R Feichtl | Sussex County | 28 | 28 | 1093 | 189 | 306 | 495 | 76 | 4 | 77 | 79 | 1.0 | 35 | 22 |
9 | L Pergola | Hudson Valley | 23 | 23 | 804 | 50 | 164 | 214 | 60 | 3 | 57 | 100 | 0.6 | 54 | 39 |
10 | C Crago | Camden County | 24 | 22 | 804 | 102 | 97 | 199 | 48 | 1 | 103 | 47 | 2.2 | 97 | 16 |
11 | E Kennedy | Borough of Manhattan | 21 | 19 | 714 | 67 | 130 | 197 | 42 | 2 | 115 | 145 | 0.8 | 116 | 10 |
12 | T Davis | Kingsborough | 24 | 22 | 237 | 22 | 99 | 121 | 39 | 1 | 77 | 93 | 0.8 | 77 | 10 |
13 | A Lombardoni | Fulton-Montgomery | 19 | 18 | 132 | 16 | 73 | 89 | 14 | - | 55 | 40 | 1.4 | 40 | 0 |
14 | A Ochoa-Pena | Dutchess | 19 | 13 | 456 | 23 | 81 | 104 | 34 | - | 58 | 106 | 0.5 | 55 | 3 |
15 | G Harris | Joliet | 24 | 24 | 721 | 40 | 138 | 178 | 59 | 3 | 110 | 81 | 1.4 | 40 | 25 |
16 | Q Tunstall | Patrick & Henry | 11 | 2 | 53 | 36 | 40 | 76 | 18 | - | 16 | 14 | 1.1 | 15 | 8 |
17 | N Ortiz | Rhode Island | 26 | 23 | 189 | 74 | 112 | 186 | 65 | 3 | 77 | 50 | 1.5 | 96 | 11 |
18 | M Morales | Northern Essex | 20 | 19 | 609 | 88 | 97 | 185 | 50 | - | 36 | 89 | 0.4 | 53 | 10 |
19 | K Samassa | Montgomery County | 19 | 18 | 632 | 122 | 110 | 232 | 59 | 4 | 24 | 80 | 0.3 | 50 | 37 |
20 | E Johns | Butler County | 5 | 5 | 162 | 5 | 15 | 20 | 4 | - | 6 | 17 | 0.4 | 2 | 0 |
21 | L Butcher | Jefferson (NY) | 29 | 29 | 962 | 75 | 183 | 258 | 83 | 4 | 110 | 126 | 0.9 | 65 | 18 |
22 | O Roach | LaGuardia | 18 | 18 | 252 | 74 | 145 | 219 | 46 | 0 | 10 | 126 | 0.1 | 35 | 7 |
23 | J Vega | Kingsborough | 24 | 22 | 219 | 23 | 40 | 63 | 45 | 1 | 43 | 73 | 0.6 | 43 | 3 |
24 | S Portee | Patrick & Henry | 10 | 8 | 45 | 11 | 28 | 39 | 22 | 2 | 21 | 35 | 0.6 | 28 | 3 |
25 | J Gronewold | Minnesota State | 21 | 18 | 661 | 23 | 74 | 97 | 51 | 1 | 57 | 88 | 0.6 | 56 | 4 |
26 | A Jones | Prince George's | 21 | 21 | 754 | 24 | 89 | 113 | 55 | - | 41 | 54 | 0.8 | 39 | 15 |
27 | C Cribbin | Ocean County | 16 | 16 | 478 | 37 | 112 | 149 | 27 | 1 | 21 | 60 | 0.3 | 25 | 14 |
28 | S Sealey | LaGuardia | 18 | 18 | 246 | 28 | 65 | 93 | 44 | 2 | 60 | 157 | 0.4 | 61 | 22 |
29 | M Copeland | Rochester | 26 | 25 | 835 | 20 | 79 | 99 | 34 | 0 | 129 | 85 | 1.5 | 82 | 5 |
30 | A Boland | Montgomery County | 12 | 12 | 406 | 74 | 71 | 145 | 33 | - | 15 | 69 | 0.2 | 35 | 7 |
31 | H DeVries | Minnesota West | 33 | 33 | 1009 | 62 | 135 | 197 | 104 | 4 | 114 | 79 | 1.4 | 48 | 21 |
32 | K Day | Northampton | 20 | 19 | 578 | 74 | 109 | 183 | 46 | 1 | 19 | 62 | 0.3 | 11 | 42 |
33 | M Cheatham | Nassau | 25 | 24 | 315 | 37 | 37 | 74 | 66 | 2 | 42 | 87 | 0.5 | 103 | 1 |
34 | N Cameron | Passaic County | 22 | 22 | 724 | 31 | 71 | 102 | 75 | 5 | 82 | 59 | 1.4 | 155 | 14 |
35 | E Sebastian | Lehigh Carbon | 20 | 20 | 177 | 16 | 70 | 86 | 22 | - | 16 | 44 | 0.4 | 37 | 2 |
36 | N House | Mohawk Valley | 21 | 19 | 626 | 34 | 76 | 110 | 64 | 4 | 44 | 80 | 0.6 | 57 | 12 |
37 | M Smith | Fulton-Montgomery | 21 | 21 | 136 | 78 | 125 | 203 | 60 | 3 | 33 | 25 | 1.3 | 45 | 74 |
38 | K Nichols | Jefferson (NY) | 29 | 29 | 998 | 67 | 118 | 185 | 38 | - | 80 | 61 | 1.3 | 65 | 6 |
39 | N Madison | Massasoit | 17 | 15 | 137 | 50 | 66 | 116 | 49 | 2 | 44 | 69 | 0.6 | 54 | 7 |
40 | E Osborn | Northland | 31 | 31 | 893 | 23 | 94 | 117 | 20 | - | 36 | 50 | 0.7 | 62 | 13 |
41 | K Robertson | Joliet | 30 | 29 | 647 | 89 | 122 | 211 | 109 | 4 | 10 | 62 | 0.2 | 38 | 46 |
42 | T Schwinghammer | Northland | 31 | 31 | 914 | 71 | 228 | 299 | 55 | - | 100 | 65 | 1.5 | 79 | 41 |
43 | K Evans | Prince George's | 21 | 21 | 741 | 97 | 100 | 197 | 57 | 2 | 97 | 74 | 1.3 | 66 | 8 |
44 | M Meyers | Sussex County | 28 | 28 | 1104 | 43 | 163 | 206 | 47 | - | 77 | 46 | 1.7 | 38 | 50 |
45 | A melendez | Rhode Island | 27 | 24 | 190 | 34 | 80 | 114 | 32 | - | 63 | 52 | 1.2 | 33 | 4 |
46 | A Torgerson | Central Lakes | 25 | 25 | 713 | 98 | 116 | 214 | 62 | 2 | 27 | 57 | 0.5 | 19 | 6 |
47 | D Johnson | North Country | 25 | 25 | 839 | 28 | 88 | 116 | 57 | 2 | 56 | 101 | 0.6 | 48 | 5 |
48 | C Dahn | Minnesota North College - Itasca | 16 | 16 | 500 | 45 | 90 | 135 | 52 | 2 | 4 | 63 | 0.1 | 7 | 19 |
49 | C Hayden | Dallas College - Cedar Valley | 25 | 19 | 643 | 28 | 71 | 99 | 75 | 2 | 82 | 62 | 1.3 | 42 | 2 |
50 | R Dalrymple | Mohawk Valley | 18 | 18 | 564 | 81 | 112 | 193 | 49 | - | 58 | 54 | 1.1 | 47 | 33 |
51 | E Nordeus | Bunker Hill | 11 | 10 | 11 | 63 | 87 | 150 | 21 | - | 26 | 31 | 0.8 | 49 | 8 |
52 | N McGee | Mohawk Valley | 22 | 20 | 675 | 102 | 91 | 193 | 50 | 1 | 21 | 74 | 0.3 | 36 | 31 |
53 | S Geisler | Herkimer | 18 | 15 | 507 | 17 | 60 | 77 | 37 | 0 | 85 | 57 | 1.5 | 31 | 14 |
54 | A Dixon | Suffolk County | 16 | 16 | 120 | 13 | 35 | 48 | 19 | 0 | 17 | 64 | 0.3 | 24 | 12 |
55 | A Pettis | Anoka-Ramsey | 26 | 22 | 712 | 76 | 135 | 211 | 61 | 2 | 58 | 85 | 0.7 | 98 | 7 |
56 | D Boyd | CC of Allegheny County | 4 | 3 | 134 | 6 | 13 | 19 | 10 | 1 | 4 | 18 | 0.2 | 13 | 1 |
56 | N Walters | Queensborough | 19 | 19 | 198 | 145 | 204 | 349 | 42 | 0 | 26 | 120 | 0.2 | 33 | 19 |
58 | S Da SIlva | Queensborough | 20 | 19 | 200 | 21 | 74 | 95 | 67 | 3 | 34 | 101 | 0.3 | 43 | 6 |
59 | A Dixon | Tompkins Cortland | 13 | 12 | 356 | 81 | 104 | 185 | 49 | 3 | 24 | 58 | 0.4 | 60 | 22 |
60 | A Boothe | Ocean County | 14 | 14 | 435 | 47 | 68 | 115 | 31 | - | 27 | 85 | 0.3 | 30 | 0 |
61 | J James | Rochester | 28 | 28 | 829 | 75 | 173 | 248 | 74 | 3 | 49 | 71 | 0.7 | 67 | 10 |
62 | S Moron | Minnesota North College - Vermilion | 20 | 19 | 732 | 6 | 72 | 78 | 42 | 2 | 37 | 144 | 0.3 | 39 | 0 |
63 | D Morales | Massasoit | 17 | 14 | 124 | 47 | 54 | 101 | 52 | 2 | 41 | 65 | 0.6 | 90 | 3 |
64 | H Mosch | Cayuga | 25 | 25 | 244 | 51 | 143 | 194 | 53 | 1 | 51 | 118 | 0.4 | 77 | 40 |
65 | B Fronkova | Riverland | 19 | 13 | 388 | 38 | 38 | 76 | 46 | 2 | 45 | 59 | 0.8 | 48 | 1 |
66 | M Dingle | Northern Essex | 16 | 7 | 472 | 21 | 58 | 79 | 46 | 3 | 48 | 51 | 0.9 | 60 | 3 |
67 | K Holien | Riverland | 19 | 19 | 501 | 25 | 96 | 121 | 44 | - | 40 | 79 | 0.5 | 50 | 4 |
68 | C Ivy | Owens | 22 | 20 | 618 | 55 | 84 | 139 | 69 | 3 | 9 | 39 | 0.2 | 19 | 21 |
68 | T Works | Bunker Hill | 11 | 11 | 11 | 27 | 29 | 56 | 25 | - | 32 | 30 | 1.1 | 32 | 6 |
70 | E Owens | RCSJ Cumberland | 11 | 11 | 383 | 27 | 35 | 62 | 37 | 3 | 33 | 57 | 0.6 | 20 | 7 |
71 | B Meyer | Minnesota North College - Itasca | 17 | 17 | 622 | 14 | 163 | 177 | 29 | 1 | 84 | 139 | 0.6 | 25 | 9 |
72 | M Thomas | Dallas College - Cedar Valley | 23 | 22 | 583 | 32 | 68 | 100 | 41 | 1 | 51 | 50 | 1.0 | 56 | 0 |
73 | L Williams | Finger Lakes | 11 | 10 | 203 | 24 | 53 | 77 | 18 | - | 13 | 30 | 0.4 | 14 | 7 |
74 | K Reyes | Bronx | 8 | 8 | 276 | 19 | 55 | 74 | 19 | 1 | 4 | 107 | 0.0 | 27 | 0 |
75 | Z Cruz | Northampton | 21 | 21 | 648 | 8 | 32 | 40 | 61 | 4 | 80 | 89 | 0.9 | 45 | 19 |
75 | M Holten | Anoka-Ramsey | 28 | 27 | 911 | 47 | 79 | 126 | 68 | - | 71 | 94 | 0.8 | 78 | 3 |
77 | C Maglio | Corning | 20 | 20 | 322 | 19 | 64 | 83 | 26 | - | 64 | 89 | 0.7 | 53 | 10 |
78 | T Coleman | Massasoit | 13 | 8 | 96 | 46 | 46 | 92 | 26 | - | 7 | 35 | 0.2 | 19 | 1 |
79 | J Caraballo | Bergen | 12 | 11 | 329 | 47 | 95 | 142 | 19 | - | 36 | 40 | 0.9 | 18 | 3 |
79 | N Short | Queensborough | 12 | 12 | 91 | 57 | 56 | 113 | 25 | 1 | 30 | 70 | 0.4 | 36 | 0 |
81 | D Thomas | Dallas College - Cedar Valley | 26 | 25 | 728 | 20 | 74 | 94 | 68 | 1 | 146 | 71 | 2.1 | 136 | 2 |
82 | A Yetto | Hudson Valley | 23 | 23 | 777 | 43 | 48 | 91 | 61 | 1 | 106 | 106 | 1.0 | 104 | 3 |
83 | M Ampofo | RCSJ Gloucester | 22 | 17 | 586 | 119 | 146 | 265 | 39 | - | 73 | 84 | 0.9 | 32 | 12 |
84 | C Bryant | Hostos | 26 | 24 | 206 | 147 | 164 | 311 | 75 | 3 | 30 | 45 | 0.7 | 44 | 32 |
85 | M Johnson | Dutchess | 18 | 14 | 408 | 40 | 131 | 171 | 28 | 1 | 25 | 40 | 0.6 | 18 | 22 |
86 | S Andring | Rochester | 17 | 16 | 452 | 20 | 46 | 66 | 16 | 0 | 44 | 25 | 1.8 | 30 | 4 |
87 | J Clark | RCSJ Gloucester | 15 | 12 | 321 | 27 | 36 | 63 | 41 | - | 51 | 57 | 0.9 | 61 | 7 |
88 | L Jefferson | Dallas College - Mountain View | 18 | 15 | 18 | 9 | 46 | 55 | 19 | - | 37 | 40 | 0.9 | 35 | 1 |
89 | D Davis | Minnesota North College - Mesabi Range | 17 | 17 | 533 | 95 | 118 | 213 | 40 | 1 | 23 | 50 | 0.5 | 20 | 6 |
89 | M Djibring | LaGuardia | 18 | 18 | 246 | 185 | 213 | 398 | 44 | 3 | 14 | 87 | 0.2 | 20 | 24 |
89 | I Ezike | Hostos | 24 | 6 | 160 | 100 | 96 | 196 | 40 | 0 | 12 | 39 | 0.3 | 12 | 14 |
92 | J Anderson | Prince George's | 18 | 15 | 573 | 48 | 95 | 143 | 36 | 1 | 37 | 55 | 0.7 | 47 | 9 |
93 | C Shute | Rochester | 25 | 25 | 750 | 39 | 67 | 106 | 54 | 1 | 71 | 58 | 1.2 | 49 | 5 |
94 | S Phillips | Hudson Valley | 23 | 23 | 691 | 70 | 78 | 148 | 61 | 2 | 34 | 60 | 0.6 | 33 | 12 |
95 | P Jackson-Sanders | Dallas College - Cedar Valley | 22 | 17 | 490 | 90 | 118 | 208 | 58 | 1 | 30 | 28 | 1.1 | 30 | 20 |
96 | S Parker | Nassau | 29 | 29 | 396 | 44 | 144 | 188 | 68 | 4 | 129 | 116 | 1.1 | 142 | 2 |
96 | A Raven | Jefferson (NY) | 29 | 24 | 754 | 127 | 157 | 284 | 71 | - | 21 | 79 | 0.3 | 25 | 49 |
98 | L Reimer | Herkimer | 26 | 26 | 739 | 70 | 84 | 154 | 45 | 1 | 33 | 66 | 0.5 | 42 | 12 |
99 | N Nimene | Minnesota North College - Mesabi Range | 15 | 14 | 521 | 9 | 44 | 53 | 38 | - | 29 | 112 | 0.3 | 41 | 3 |
100 | C Polk | Minnesota North College - Rainy River | 24 | 24 | 723 | 35 | 78 | 113 | 93 | 5 | 64 | 83 | 0.8 | 61 | 2 |
101 | N Duran | Bergen | 15 | 15 | 483 | 8 | 56 | 64 | 12 | - | 53 | 70 | 0.8 | 24 | 0 |
102 | J Iverson | Northland | 31 | 31 | 1040 | 23 | 109 | 132 | 54 | - | 175 | 108 | 1.6 | 77 | 7 |
103 | T Washington | Prince George's | 19 | 1 | 460 | 35 | 45 | 80 | 42 | 1 | 45 | 29 | 1.6 | 42 | 1 |
104 | P Myers | Tompkins Cortland | 13 | 8 | 358 | 10 | 27 | 37 | 30 | 2 | 48 | 67 | 0.7 | 23 | 0 |
105 | L Granada | Riverland | 23 | 23 | 584 | 41 | 133 | 174 | 54 | 1 | 41 | 76 | 0.5 | 59 | 10 |
106 | A Green | Camden County | 19 | 12 | 537 | 114 | 85 | 199 | 42 | - | 25 | 27 | 0.9 | 40 | 17 |
107 | J Cummings | Passaic County | 22 | 22 | 692 | 49 | 104 | 153 | 29 | - | 42 | 45 | 0.9 | 37 | 11 |
108 | R Dunn | Montgomery County | 12 | 12 | 395 | 41 | 85 | 126 | 27 | - | 30 | 48 | 0.6 | 26 | 3 |
109 | L Ford | Herkimer | 26 | 26 | 700 | 120 | 115 | 235 | 59 | 0 | 70 | 113 | 0.6 | 29 | 6 |
110 | N Mierez | Massasoit | 14 | 11 | 86 | 71 | 73 | 144 | 39 | 1 | 17 | 42 | 0.4 | 43 | 21 |
111 | B Kanz | Anoka-Ramsey | 30 | 29 | 901 | 105 | 112 | 217 | 59 | 2 | 37 | 53 | 0.7 | 41 | 13 |
112 | M Bugbee | Minnesota State | 21 | 17 | 593 | 36 | 62 | 98 | 33 | 1 | 37 | 50 | 0.7 | 39 | 13 |
113 | I Salazar | Minnesota State | 21 | 18 | 689 | 19 | 50 | 69 | 47 | 2 | 47 | 73 | 0.6 | 40 | 3 |
114 | E O'Keefe | Brookdale | 19 | 19 | 57 | 1 | 89 | 90 | 40 | - | 72 | 76 | 0.9 | 42 | 5 |
115 | A Ventura | Brookdale | 14 | 14 | 49 | 6 | 63 | 69 | 46 | 1 | 19 | 81 | 0.2 | 19 | 7 |
116 | L Johnson | Cayuga | 25 | 25 | 243 | 87 | 89 | 176 | 70 | 3 | 40 | 64 | 0.6 | 60 | 18 |
117 | K Franklin | Camden County | 24 | 23 | 744 | 85 | 133 | 218 | 64 | - | 68 | 46 | 1.5 | 48 | 107 |
118 | I Robson | Finger Lakes | 17 | 16 | 510 | 12 | 48 | 60 | 36 | - | 44 | 99 | 0.4 | 36 | 3 |
119 | J McMahon | Anoka-Ramsey | 30 | 19 | 784 | 104 | 198 | 302 | 66 | 4 | 36 | 57 | 0.6 | 58 | 18 |
120 | C Bradford | Minnesota North College - Vermilion | 20 | 19 | 686 | 40 | 116 | 156 | 48 | 1 | 67 | 118 | 0.6 | 59 | 0 |
120 | J Johnson | Camden County | 16 | 13 | 456 | 22 | 35 | 57 | 23 | - | 74 | 43 | 1.7 | 43 | 4 |
122 | E Williams | Passaic County | 19 | 19 | 591 | 29 | 93 | 122 | 45 | 1 | 46 | 57 | 0.8 | 58 | 5 |
123 | K Goetzinger | Rochester | 23 | 12 | 574 | 74 | 122 | 196 | 53 | 1 | 24 | 28 | 0.9 | 22 | 23 |
124 | S Walker | Rhode Island | 28 | 28 | 149 | 138 | 156 | 294 | 53 | - | 19 | 25 | 0.8 | 36 | 13 |
125 | F Guzman | Dutchess | 18 | 17 | 459 | 17 | 38 | 55 | 32 | 2 | 26 | 81 | 0.3 | 34 | 0 |
126 | R DeMaine | St. Cloud Tech | 24 | 21 | 704 | 30 | 91 | 121 | 47 | 1 | 42 | 68 | 0.6 | 25 | 5 |
127 | S Lefevre | Dutchess | 19 | 17 | 421 | 63 | 136 | 199 | 47 | 3 | 24 | 57 | 0.4 | 23 | 18 |
128 | M Fernandez | Brookdale | 19 | 19 | 58 | 12 | 218 | 230 | 39 | - | 41 | 72 | 0.6 | 39 | 14 |
129 | D Andrews | Hostos | 26 | 26 | 223 | 40 | 130 | 170 | 72 | 5 | 77 | 94 | 0.8 | 55 | 7 |
130 | D Pipino | Hudson Valley | 18 | 18 | 585 | 30 | 91 | 121 | 35 | 1 | 109 | 81 | 1.3 | 43 | 1 |
131 | B Manuel | Butler County | 8 | 8 | 272 | 16 | 50 | 66 | 22 | 2 | 10 | 32 | 0.3 | 7 | 7 |
132 | A Redden | Passaic County | 20 | 20 | 629 | 85 | 79 | 164 | 56 | 4 | 16 | 40 | 0.4 | 50 | 40 |
133 | S Ellis | Northampton | 21 | 21 | 710 | 37 | 88 | 125 | 37 | 1 | 72 | 62 | 1.2 | 36 | 6 |
134 | T Flowers | Owens | 22 | 9 | 507 | 43 | 82 | 125 | 66 | 2 | 17 | 46 | 0.4 | 39 | 3 |
135 | A Grace | Owens | 21 | 20 | 673 | 24 | 58 | 82 | 50 | 2 | 113 | 70 | 1.6 | 30 | 0 |
135 | C Papineau | Onondaga | 31 | 30 | 285 | 45 | 58 | 103 | 60 | 1 | 99 | 66 | 1.5 | 85 | 18 |
135 | S Williamson | Bronx | 8 | 8 | 245 | 7 | 29 | 36 | 35 | 4 | 4 | 76 | 0.1 | 5 | 0 |
138 | A Colton | Cayuga | 25 | 25 | 242 | 61 | 105 | 166 | 70 | 3 | 96 | 129 | 0.7 | 67 | 38 |
139 | E Fields | Philadelphia | 12 | 12 | 207 | 5 | 42 | 47 | 28 | - | 38 | 96 | 0.4 | 11 | 1 |
140 | M Grady | Joliet | 29 | 29 | 780 | 43 | 131 | 174 | 64 | 3 | 83 | 61 | 1.4 | 49 | 7 |
141 | K Papenfuss | Central Lakes | 25 | 25 | 926 | 84 | 155 | 239 | 71 | 2 | 102 | 78 | 1.3 | 103 | 10 |
142 | D Wiley | Jefferson (NY) | 29 | 28 | 911 | 32 | 90 | 122 | 43 | - | 95 | 81 | 1.2 | 43 | 4 |
143 | M Hess | Mohawk Valley | 22 | 22 | 761 | 21 | 67 | 88 | 28 | - | 83 | 53 | 1.6 | 36 | 2 |
143 | M Patterson | Patrick & Henry | 11 | 9 | 69 | 26 | 32 | 58 | 17 | - | 19 | 10 | 1.9 | 17 | 9 |
145 | J Davis | Hostos | 25 | 14 | 212 | 29 | 51 | 80 | 26 | 0 | 79 | 78 | 1.0 | 53 | 3 |
146 | A Baker | Onondaga | 30 | 30 | 320 | 54 | 64 | 118 | 41 | - | 130 | 81 | 1.6 | 81 | 5 |
146 | J Harris | Corning | 20 | 20 | 303 | 16 | 62 | 78 | 41 | 1 | 15 | 95 | 0.2 | 26 | 4 |
148 | N Ross | Prince George's | 21 | 12 | 543 | 49 | 46 | 95 | 33 | - | 34 | 56 | 0.6 | 28 | 6 |
149 | Q Wittman | Lehigh Carbon | 20 | 20 | 177 | 12 | 93 | 105 | 65 | 6 | 40 | 59 | 0.7 | 52 | 8 |
150 | S Black | Dallas College - Mountain View | 18 | 13 | 18 | 37 | 92 | 129 | 54 | 3 | 16 | 31 | 0.5 | 21 | 3 |
151 | J Bethea | RCSJ Gloucester | 23 | 2 | 468 | 82 | 88 | 170 | 42 | 2 | 13 | 41 | 0.3 | 17 | 5 |
152 | K Sanchez | Hostos | 23 | 21 | 214 | 38 | 89 | 127 | 38 | 0 | 132 | 70 | 1.9 | 94 | 16 |
153 | K Copeland | Patrick & Henry | 10 | 9 | 19 | 16 | 26 | 42 | 11 | - | 15 | 15 | 1.0 | 21 | 1 |
154 | K Grainger | Onondaga | 29 | 27 | 295 | 40 | 96 | 136 | 31 | - | 36 | 45 | 0.8 | 34 | 9 |
155 | C Garcia | Brookdale | 19 | 19 | 58 | 9 | 146 | 155 | 41 | - | 26 | 69 | 0.4 | 39 | 4 |
156 | D De Jesus | Massasoit | 11 | 8 | 134 | 16 | 18 | 34 | 27 | - | 38 | 38 | 1.0 | 27 | 0 |
157 | L Ross | Dallas College - Richland | 14 | 13 | 436 | 13 | 28 | 41 | 44 | 3 | 5 | 34 | 0.1 | 11 | 17 |
158 | S Davison | Dallas College - Mountain View | 18 | 15 | 18 | 34 | 84 | 118 | 36 | - | 9 | 25 | 0.4 | 19 | 3 |
159 | J Boos | St. Cloud Tech | 23 | 19 | 565 | 23 | 89 | 112 | 42 | 1 | 32 | 46 | 0.7 | 24 | 14 |
160 | D Hines | RCSJ Gloucester | 25 | 25 | 579 | 35 | 106 | 141 | 51 | 3 | 98 | 78 | 1.3 | 108 | 19 |
161 | S Petersen | Minnesota West | 33 | 32 | 892 | 60 | 145 | 205 | 82 | 5 | 24 | 58 | 0.4 | 37 | 7 |
162 | M Lowe | Minnesota North College - Rainy River | 24 | 24 | 687 | 47 | 90 | 137 | 88 | 5 | 37 | 71 | 0.5 | 59 | 8 |
163 | C Polk | Minnesota North College - Rainy River | 21 | 20 | 686 | 24 | 70 | 94 | 79 | 7 | 79 | 101 | 0.8 | 44 | 6 |
164 | T Robinson | RCSJ Cumberland | 16 | 15 | 574 | 75 | 117 | 192 | 43 | 1 | 15 | 32 | 0.5 | 20 | 20 |
165 | R Mooney | Northland | 31 | 31 | 947 | 68 | 115 | 183 | 50 | 1 | 61 | 59 | 1.0 | 42 | 15 |
166 | K Cohen | Dallas College - Mountain View | 12 | 12 | 12 | 25 | 69 | 94 | 31 | 1 | 21 | 32 | 0.7 | 44 | 4 |
167 | D Alcock | Jefferson (NY) | 26 | 19 | 652 | 54 | 126 | 180 | 61 | - | 59 | 68 | 0.9 | 55 | 19 |
168 | F Rosa | RCSJ Gloucester | 24 | 24 | 534 | 36 | 99 | 135 | 34 | - | 83 | 82 | 1.0 | 40 | 12 |
169 | K Wilson | Kingsborough | 24 | 18 | 225 | 88 | 128 | 216 | 49 | 2 | 38 | 62 | 0.6 | 55 | 13 |
170 | A Reuben | Rochester | 21 | 12 | 515 | 41 | 55 | 96 | 49 | 1 | 46 | 39 | 1.2 | 30 | 5 |
171 | J Bennett | Rochester | 28 | 20 | 652 | 45 | 57 | 102 | 87 | 5 | 56 | 49 | 1.1 | 41 | 5 |
172 | T George | Tompkins Cortland | 11 | 7 | 250 | 43 | 39 | 82 | 44 | 4 | 10 | 32 | 0.3 | 8 | 9 |
173 | K Gordon-Bey | Northampton | 19 | 11 | 489 | 47 | 82 | 129 | 35 | 1 | 24 | 28 | 0.9 | 16 | 6 |
174 | T Wyatt | RCSJ Gloucester | 25 | 16 | 454 | 25 | 80 | 105 | 38 | - | 48 | 37 | 1.3 | 42 | 4 |
175 | T Dukes | Corning | 18 | 15 | 232 | 112 | 123 | 235 | 35 | - | 8 | 45 | 0.2 | 15 | 4 |
176 | M Birchett | North Country | 25 | 22 | 755 | 38 | 81 | 119 | 63 | 2 | 65 | 90 | 0.7 | 36 | 2 |
177 | A Drapeau | Minnesota West | 33 | 31 | 1053 | 20 | 148 | 168 | 38 | - | 193 | 121 | 1.6 | 85 | 5 |
178 | O Davis | North Country | 25 | 25 | 815 | 71 | 108 | 179 | 53 | 1 | 86 | 87 | 1.0 | 43 | 1 |
179 | F Diaby | Hostos | 18 | 16 | 120 | 49 | 91 | 140 | 28 | 0 | 41 | 38 | 1.1 | 40 | 4 |
180 | D Beecher | RCSJ Gloucester | 25 | 23 | 484 | 61 | 74 | 135 | 29 | - | 21 | 58 | 0.4 | 24 | 78 |
181 | D Harris | Patrick & Henry | 11 | 10 | 85 | 3 | 7 | 10 | 11 | - | 28 | 19 | 1.5 | 20 | 3 |
182 | M Cagle | Western Tech | 19 | 19 | 668 | 19 | 100 | 119 | 53 | 0 | 39 | 123 | 0.3 | 39 | 7 |
182 | R Radloff | Western Tech | 19 | 19 | 618 | 17 | 38 | 55 | 33 | 0 | 15 | 108 | 0.1 | 19 | 14 |
184 | A Farrish | Patrick & Henry | 11 | 4 | 75 | 19 | 34 | 53 | 13 | - | 30 | 29 | 1.0 | 23 | 4 |
185 | N Brito | Massasoit | 17 | 11 | 96 | 22 | 27 | 49 | 34 | 2 | 19 | 37 | 0.5 | 25 | 2 |
186 | K Van Olst | Herkimer | 25 | 12 | 599 | 15 | 56 | 71 | 36 | 1 | 65 | 67 | 1.0 | 32 | 2 |
187 | A Sepulveda | Northampton | 16 | 13 | 415 | 16 | 40 | 56 | 32 | 0 | 31 | 31 | 1.0 | 36 | 3 |
188 | D Potter | Minnesota West | 31 | 5 | 718 | 36 | 69 | 105 | 41 | - | 39 | 39 | 1.0 | 31 | 3 |
189 | A Cobos | Monroe College - Bronx | 32 | 15 | 651 | 12 | 44 | 56 | 63 | 1 | 19 | 85 | 0.2 | 29 | 4 |
190 | M Weed | Cayuga | 19 | 13 | 111 | 33 | 51 | 84 | 21 | - | 49 | 34 | 1.4 | 40 | 17 |
191 | T Moore | North Country | 23 | 18 | 680 | 83 | 119 | 202 | 58 | 2 | 12 | 47 | 0.3 | 26 | 13 |
192 | T Moorer | Monroe College - Bronx | 34 | 16 | 789 | 72 | 117 | 189 | 98 | 5 | 33 | 109 | 0.3 | 86 | 9 |
193 | M LaSalle | Northern Essex | 18 | 2 | 376 | 14 | 35 | 49 | 22 | 1 | 16 | 36 | 0.4 | 33 | 2 |
194 | A Bessone | Holyoke | 5 | 5 | 144 | 13 | 18 | 31 | 12 | 1 | 7 | 22 | 0.3 | 19 | 2 |
194 | T Gonzalez | Dutchess | 15 | 10 | 380 | 19 | 51 | 70 | 31 | 1 | 31 | 64 | 0.5 | 35 | 6 |
194 | J Martinez | Lehigh Carbon | 19 | 12 | 82 | 12 | 50 | 62 | 39 | 2 | 9 | 52 | 0.2 | 25 | 3 |
194 | J Weaver | Butler County | 7 | 5 | 223 | 5 | 20 | 25 | 15 | - | 17 | 60 | 0.3 | 9 | 2 |
198 | K Ross | Borough of Manhattan | 20 | 13 | 472 | 59 | 48 | 107 | 21 | 0 | 16 | 61 | 0.3 | 27 | 3 |
199 | M Lewis | Dallas College - Richland | 17 | 17 | 597 | 13 | 50 | 63 | 43 | 1 | 44 | 104 | 0.4 | 7 | 1 |
200 | M Foss | Minnesota State | 23 | 18 | 607 | 57 | 83 | 140 | 41 | - | 26 | 41 | 0.6 | 27 | 7 |
201 | M Wigfall | Borough of Manhattan | 21 | 17 | 557 | 64 | 70 | 134 | 53 | 5 | 25 | 121 | 0.2 | 81 | 3 |
202 | C Wolck | Genesee | 14 | 14 | 396 | 56 | 69 | 125 | 42 | 1 | 15 | 78 | 0.2 | 41 | 1 |
203 | C Cook | Lehigh Carbon | 19 | 18 | 176 | 32 | 59 | 91 | 14 | - | 19 | 28 | 0.7 | 27 | 15 |
204 | P Gabriel | Onondaga | 30 | 20 | 193 | 115 | 97 | 212 | 77 | - | 10 | 50 | 0.2 | 47 | 28 |
205 | T Walker | Montgomery County | 19 | 19 | 676 | 35 | 50 | 85 | 62 | 4 | 82 | 79 | 1.0 | 68 | 5 |
206 | M Blaskowski | Minnesota State | 22 | 5 | 398 | 34 | 69 | 103 | 30 | 1 | 9 | 36 | 0.3 | 8 | 8 |
207 | T Newsome | Monroe College - Bronx | 31 | 14 | 627 | 90 | 129 | 219 | 122 | 16 | 51 | 115 | 0.4 | 78 | 15 |
208 | G Quartullo | Philadelphia | 9 | 8 | 87 | 48 | 50 | 98 | 22 | 1 | 1 | 15 | 0.1 | 12 | 1 |
209 | B Weaver | Onondaga | 31 | 3 | 228 | 29 | 35 | 64 | 26 | - | 44 | 35 | 1.3 | 22 | 5 |
210 | C Allen | RCSJ Cumberland | 14 | 11 | 440 | 58 | 53 | 111 | 50 | 5 | 8 | 42 | 0.2 | 27 | 19 |
211 | L Dean | Riverland | 23 | 15 | 591 | 24 | 51 | 75 | 31 | - | 59 | 64 | 0.9 | 33 | 0 |
212 | M Frazier | Nassau | 29 | 28 | 338 | 42 | 57 | 99 | 71 | 1 | 71 | 91 | 0.8 | 119 | 5 |
213 | T Wall | Montgomery County | 18 | 15 | 568 | 31 | 49 | 80 | 60 | 2 | 36 | 57 | 0.6 | 35 | 1 |
214 | S Soltis | Butler County | 8 | 6 | 267 | 6 | 35 | 41 | 23 | 1 | 7 | 56 | 0.1 | 4 | 0 |
215 | L Manning | St. Cloud Tech | 25 | 21 | 653 | 23 | 83 | 106 | 50 | 1 | 47 | 57 | 0.8 | 45 | 0 |
216 | S Wright | Central Lakes | 25 | 10 | 563 | 39 | 74 | 113 | 48 | 1 | 8 | 56 | 0.1 | 6 | 9 |
217 | A Wilder | Hostos | 21 | 4 | 168 | 32 | 53 | 85 | 24 | - | 30 | 29 | 1.0 | 31 | 2 |
218 | C Phillipp | Central Lakes | 25 | 16 | 595 | 104 | 154 | 258 | 52 | 2 | 32 | 44 | 0.7 | 29 | 31 |
219 | A Ellis | Minnesota North College - Rainy River | 24 | 19 | 766 | 28 | 56 | 84 | 81 | 7 | 32 | 72 | 0.4 | 62 | 2 |
219 | A Shorter | Suffolk County | 18 | 18 | 101 | 19 | 58 | 77 | 60 | 4 | 41 | 75 | 0.5 | 38 | 3 |
219 | R Washington | Springfield Tech | 6 | 6 | 6 | 0 | 2 | 2 | 13 | - | 4 | 15 | 0.3 | 0 | 0 |
222 | I McNeil | Herkimer | 26 | 18 | 592 | 107 | 150 | 257 | 68 | 3 | 29 | 45 | 0.6 | 27 | 19 |
223 | A Knowles | Joliet | 28 | 26 | 694 | 52 | 78 | 130 | 59 | 2 | 58 | 82 | 0.7 | 44 | 4 |
224 | T Pereria | Rhode Island | 29 | 29 | 192 | 34 | 129 | 163 | 60 | 2 | 75 | 40 | 1.9 | 38 | 5 |
225 | S Coward | Borough of Manhattan | 21 | 9 | 528 | 9 | 36 | 45 | 46 | 3 | 39 | 137 | 0.3 | 36 | 2 |
226 | S Palau | Fulton-Montgomery | 22 | 22 | 160 | 11 | 33 | 44 | 44 | - | 129 | 82 | 1.6 | 40 | 1 |
227 | S Jackson | Borough of Manhattan | 20 | 18 | 565 | 80 | 88 | 168 | 36 | 1 | 28 | 43 | 0.7 | 31 | 30 |
227 | Z Morley | Butler County | 7 | 6 | 233 | 11 | 53 | 64 | 22 | - | 7 | 36 | 0.2 | 8 | 12 |
229 | A O'Hagan | Rhode Island | 26 | 26 | 179 | 46 | 71 | 117 | 46 | - | 46 | 58 | 0.8 | 38 | 4 |
230 | B Fogle | Joliet | 29 | 23 | 605 | 46 | 101 | 147 | 55 | 4 | 45 | 81 | 0.6 | 28 | 3 |
231 | A Newell | Hudson Valley | 23 | 5 | 656 | 19 | 35 | 54 | 42 | 1 | 18 | 40 | 0.5 | 29 | 4 |
232 | S Bender | Northland | 30 | 28 | 709 | 82 | 80 | 162 | 55 | 1 | 51 | 75 | 0.7 | 34 | 3 |
233 | A Madrigal | Suffolk County | 20 | 20 | 113 | 13 | 34 | 47 | 66 | 2 | 28 | 107 | 0.3 | 29 | 5 |
234 | D Doane | Holyoke | 5 | 5 | 156 | 14 | 22 | 36 | 16 | - | 15 | 34 | 0.4 | 16 | 2 |
234 | D Ellerbee | Prince George's | 20 | 17 | 625 | 17 | 84 | 101 | 55 | 5 | 37 | 29 | 1.3 | 20 | 5 |
236 | T Henry | SUNY Adirondack | 17 | 16 | 155 | 11 | 51 | 62 | 44 | 2 | 45 | 123 | 0.4 | 22 | 3 |
236 | Y Reynolds | Northampton | 17 | 12 | 491 | 47 | 91 | 138 | 42 | 3 | 19 | 46 | 0.4 | 57 | 3 |
238 | K Pastorello | Northern Essex | 20 | 11 | 485 | 32 | 65 | 97 | 37 | 1 | 25 | 45 | 0.6 | 32 | 1 |
239 | S Hirschler | Onondaga | 30 | 5 | 167 | 29 | 42 | 71 | 30 | - | 21 | 40 | 0.5 | 21 | 3 |
240 | T Watkins | Philadelphia | 10 | 9 | 127 | 22 | 17 | 39 | 17 | - | 3 | 42 | 0.1 | 12 | 0 |
241 | I Blucher | Passaic County | 22 | 12 | 721 | 32 | 58 | 90 | 41 | 2 | 24 | 52 | 0.5 | 26 | 8 |
242 | K Holmes | Dallas College - Mountain View | 14 | - | 14 | 38 | 50 | 88 | 18 | - | 8 | 21 | 0.4 | 8 | 1 |
243 | D Zielinski | Genesee | 14 | 14 | 414 | 19 | 58 | 77 | 41 | 1 | 10 | 85 | 0.1 | 34 | 3 |
244 | B Foster | North Country | 20 | 14 | 499 | 31 | 24 | 55 | 27 | - | 37 | 53 | 0.7 | 18 | 0 |
245 | E Hunt | Western Tech | 19 | 19 | 627 | 22 | 124 | 146 | 50 | 3 | 16 | 74 | 0.2 | 16 | 33 |
246 | J Johnson | Camden County | 16 | 3 | 370 | 21 | 38 | 59 | 38 | - | 45 | 35 | 1.3 | 48 | 7 |
247 | D Cardoso | Massasoit | 13 | 6 | 113 | 35 | 34 | 69 | 17 | - | 12 | 43 | 0.3 | 23 | 3 |
248 | J Maldonado | Camden County | 23 | 22 | 656 | 36 | 74 | 110 | 38 | - | 89 | 35 | 2.5 | 48 | 8 |
249 | R Endres | Onondaga | 29 | 1 | 200 | 16 | 39 | 55 | 47 | 2 | 60 | 36 | 1.7 | 36 | 5 |
250 | A Bowstring | Central Lakes | 24 | 24 | 757 | 38 | 56 | 94 | 35 | - | 71 | 59 | 1.2 | 43 | 1 |
251 | T Flores | Kingsborough | 23 | 4 | 148 | 25 | 43 | 68 | 63 | 1 | 35 | 50 | 0.7 | 36 | 0 |
252 | D Gonzalez | Minnesota North College - Vermilion | 20 | 17 | 632 | 16 | 63 | 79 | 50 | 1 | 9 | 82 | 0.1 | 10 | 3 |
253 | T Floyd | Springfield Tech | 6 | 3 | 6 | 6 | 2 | 8 | 16 | 1 | 1 | 12 | 0.1 | 0 | 0 |
254 | D Washburn | Anoka-Ramsey | 30 | 5 | 618 | 33 | 32 | 65 | 71 | 2 | 29 | 40 | 0.7 | 39 | 3 |
255 | T Jackson | Tompkins Cortland | 11 | 7 | 196 | 20 | 19 | 39 | 12 | - | 3 | 11 | 0.3 | 13 | 5 |
256 | T Swann | SUNY Adirondack | 16 | 14 | 133 | 30 | 42 | 72 | 34 | - | 16 | 53 | 0.3 | 16 | 7 |
257 | T Gagne | Genesee | 14 | 14 | 435 | 18 | 45 | 63 | 20 | 1 | 32 | 93 | 0.3 | 32 | 2 |
258 | T Roberts | Minnesota North College - Vermilion | 20 | 20 | 613 | 26 | 68 | 94 | 71 | 5 | 22 | 55 | 0.4 | 8 | 28 |
259 | S Hairston-Williams | Patrick & Henry | 11 | 11 | 63 | 23 | 49 | 72 | 20 | 2 | 13 | 9 | 1.4 | 9 | 48 |
260 | L Alberici | Cayuga | 25 | 25 | 255 | 12 | 67 | 79 | 63 | - | 72 | 71 | 1.0 | 71 | 6 |
260 | K Peck | Minnesota North College - Mesabi Range | 20 | 13 | 588 | 54 | 64 | 118 | 33 | - | 28 | 99 | 0.3 | 37 | 2 |
262 | A Portillos | Tompkins Cortland | 14 | 9 | 355 | 27 | 55 | 82 | 43 | 3 | 28 | 37 | 0.8 | 28 | 22 |
263 | J Scaife | Dallas College - Richland | 14 | 5 | 322 | 7 | 26 | 33 | 33 | - | 5 | 42 | 0.1 | 6 | 2 |
264 | J Gutierrez | LaGuardia | 16 | 15 | 172 | 16 | 71 | 87 | 26 | - | 78 | 129 | 0.6 | 30 | 0 |
265 | G Robb | Lehigh Carbon | 20 | 20 | 177 | 14 | 91 | 105 | 42 | 1 | 28 | 26 | 1.1 | 18 | 4 |
266 | F Domercant | Joliet | 27 | 5 | 378 | 69 | 101 | 170 | 67 | 1 | 25 | 46 | 0.5 | 7 | 39 |
267 | J Bartley | Nassau | 26 | 22 | 307 | 106 | 120 | 226 | 62 | 2 | 15 | 45 | 0.3 | 35 | 15 |
268 | S Brondo | Sussex County | 23 | 5 | 649 | 5 | 39 | 44 | 35 | - | 33 | 70 | 0.5 | 41 | 16 |
269 | A Steele | Philadelphia | 12 | 12 | 207 | 21 | 36 | 57 | 34 | 1 | 9 | 43 | 0.2 | 37 | 6 |
270 | A Fratzke | St. Cloud Tech | 23 | 16 | 440 | 29 | 45 | 74 | 19 | - | 13 | 21 | 0.6 | 10 | 1 |
271 | H Amadou | Quinsigamond | 8 | 7 | 8 | 0 | 4 | 4 | 0 | - | 0 | 0 | - | 3 | 0 |
272 | T Elam | Dallas College - Cedar Valley | 25 | 11 | 456 | 36 | 58 | 94 | 60 | 2 | 12 | 33 | 0.4 | 24 | 6 |
273 | A Strahm | Owens | 22 | 17 | 651 | 20 | 57 | 77 | 45 | 1 | 61 | 43 | 1.4 | 19 | 1 |
274 | B Simono | Rhode Island | 29 | 9 | 111 | 48 | 64 | 112 | 31 | - | 43 | 46 | 0.9 | 43 | 2 |
275 | I Boyle | Camden County | 21 | 16 | 549 | 30 | 45 | 75 | 56 | 1 | 54 | 29 | 1.9 | 42 | 0 |
276 | M Brooks | Onondaga | 31 | - | 138 | 10 | 29 | 39 | 10 | - | 20 | 13 | 1.5 | 13 | 1 |
277 | H Halvorson | Northland | 31 | - | 568 | 92 | 95 | 187 | 54 | 1 | 26 | 34 | 0.8 | 27 | 15 |
278 | K Dungee | CC of Allegheny County | 4 | 2 | 102 | 5 | 11 | 16 | 11 | - | 11 | 20 | 0.6 | 11 | 1 |
279 | E Reese | Dallas College - Richland | 13 | 10 | 314 | 7 | 13 | 20 | 32 | - | 13 | 37 | 0.4 | 3 | 0 |
280 | O Mortenson | St. Cloud Tech | 24 | 7 | 530 | 15 | 59 | 74 | 57 | 3 | 31 | 66 | 0.5 | 22 | 1 |
280 | N Perez | Philadelphia | 12 | 12 | 207 | 12 | 20 | 32 | 9 | - | 6 | 63 | 0.1 | 22 | 0 |
282 | S Lawson | Dallas College - Mountain View | 16 | - | 16 | 15 | 58 | 73 | 27 | 1 | 10 | 29 | 0.3 | 15 | 4 |
283 | S Evans | Montgomery County | 19 | 7 | 504 | 41 | 68 | 109 | 59 | 1 | 15 | 51 | 0.3 | 18 | 2 |
284 | N Williams | Dallas College - Cedar Valley | 25 | 6 | 363 | 56 | 93 | 149 | 30 | - | 8 | 14 | 0.6 | 12 | 9 |
285 | T Tyrell | SUNY Adirondack | 19 | 17 | 210 | 89 | 128 | 217 | 33 | 1 | 9 | 64 | 0.1 | 16 | 12 |
286 | K Hatch | Rhode Island | 26 | 4 | 97 | 30 | 37 | 67 | 30 | - | 54 | 36 | 1.5 | 33 | 0 |
287 | A Parrish | Minnesota West | 33 | 2 | 609 | 42 | 73 | 115 | 67 | 1 | 61 | 61 | 1.0 | 31 | 4 |
288 | E Hey | Minnesota North College - Mesabi Range | 22 | 22 | 795 | 29 | 91 | 120 | 29 | - | 63 | 112 | 0.6 | 30 | 1 |
289 | K Lindberg | St. Cloud Tech | 26 | 24 | 577 | 44 | 76 | 120 | 52 | - | 27 | 37 | 0.7 | 28 | 5 |
290 | S Stampfli | Suffolk County | 20 | - | 63 | 8 | 18 | 26 | 16 | 0 | 9 | 49 | 0.2 | 7 | 0 |
291 | J Roper | Owens | 22 | 3 | 361 | 18 | 52 | 70 | 20 | - | 7 | 23 | 0.3 | 16 | 4 |
292 | A Del Rossi | RCSJ Cumberland | 15 | 12 | 468 | 25 | 40 | 65 | 14 | - | 5 | 43 | 0.1 | 39 | 2 |
293 | C Guzman | RCSJ Cumberland | 16 | 14 | 505 | 9 | 43 | 52 | 51 | 3 | 22 | 117 | 0.2 | 33 | 8 |
294 | J Simmons | Borough of Manhattan | 21 | 16 | 487 | 39 | 52 | 91 | 57 | 5 | 18 | 59 | 0.3 | 20 | 4 |
295 | M Taylor | Lehigh Carbon | 15 | 10 | 94 | 15 | 59 | 74 | 29 | 1 | 5 | 51 | 0.1 | 10 | 2 |
296 | K Poitier-Wells | Monroe College - Bronx | 22 | 14 | 479 | 37 | 100 | 137 | 31 | - | 31 | 42 | 0.7 | 22 | 29 |
297 | E Ruggiero | Northern Essex | 20 | 12 | 319 | 60 | 66 | 126 | 23 | 1 | 8 | 41 | 0.2 | 18 | 4 |
298 | E Mulder | Sussex County | 27 | 21 | 771 | 43 | 120 | 163 | 51 | - | 46 | 56 | 0.8 | 19 | 5 |
299 | K Burks | Dallas College - Cedar Valley | 26 | 5 | 362 | 29 | 58 | 87 | 31 | - | 11 | 28 | 0.4 | 13 | 7 |
300 | E Morse | Mohawk Valley | 22 | 21 | 766 | 38 | 68 | 106 | 27 | - | 36 | 46 | 0.8 | 53 | 0 |
301 | J Rivera | Brookdale | 17 | 15 | 33 | 3 | 74 | 77 | 27 | - | 13 | 30 | 0.4 | 15 | 6 |
302 | C Alcober | Bergen | 12 | 12 | 248 | 15 | 11 | 26 | 13 | 1 | 6 | 35 | 0.2 | 1 | 1 |
303 | L Charnoski | Northland | 27 | 1 | 329 | 11 | 23 | 34 | 13 | - | 13 | 25 | 0.5 | 10 | 0 |
304 | P Perez | Borough of Manhattan | 17 | 6 | 372 | 28 | 41 | 69 | 46 | 3 | 34 | 75 | 0.5 | 29 | 5 |
305 | P Jones | Jefferson (NY) | 28 | 8 | 583 | 18 | 61 | 79 | 66 | 1 | 80 | 63 | 1.3 | 56 | 3 |
306 | T Graham | Dallas College - Mountain View | 18 | 14 | 18 | 18 | 36 | 54 | 22 | - | 19 | 24 | 0.8 | 20 | 0 |
307 | C Mason | CC of Allegheny County | 4 | 3 | 125 | 7 | 12 | 19 | 7 | - | 12 | 37 | 0.3 | 5 | 0 |
308 | K Anderson | Minnesota North College - Mesabi Range | 21 | 6 | 412 | 14 | 26 | 40 | 6 | - | 8 | 45 | 0.2 | 8 | 0 |
309 | Z Foreseen | Minnesota North College - Itasca | 17 | 17 | 550 | 33 | 58 | 91 | 45 | 1 | 9 | 53 | 0.2 | 7 | 5 |
310 | L Walker | Anoka-Ramsey | 30 | 25 | 852 | 56 | 103 | 159 | 86 | 4 | 76 | 63 | 1.2 | 61 | 3 |
311 | A Torrpey | Sussex County | 28 | 28 | 989 | 47 | 108 | 155 | 58 | 5 | 79 | 140 | 0.6 | 98 | 1 |
312 | Q Tallman | Finger Lakes | 17 | 15 | 460 | 7 | 55 | 62 | 41 | 2 | 29 | 46 | 0.6 | 17 | 2 |
313 | J Potts | Minnesota North College - Mesabi Range | 22 | 1 | 402 | 33 | 38 | 71 | 18 | - | 9 | 22 | 0.4 | 11 | 1 |
314 | K James | Rochester | 27 | 2 | 489 | 39 | 74 | 113 | 60 | 1 | 41 | 34 | 1.2 | 33 | 4 |
315 | A Gereau | Northland | 31 | 2 | 548 | 44 | 57 | 101 | 52 | 1 | 35 | 42 | 0.8 | 30 | 13 |
316 | K Diem | Quinsigamond | 8 | 7 | 8 | 1 | 2 | 3 | 0 | - | 0 | 0 | - | 0 | 0 |
316 | M Khan | Suffolk County | 15 | 13 | 41 | 19 | 30 | 49 | 24 | 1 | 7 | 42 | 0.2 | 5 | 2 |
316 | S Thornton | CC of Allegheny County | 4 | 4 | 117 | 8 | 8 | 16 | 14 | 1 | 3 | 7 | 0.4 | 1 | 2 |
319 | K Cox | Minnesota State | 22 | 14 | 608 | 11 | 72 | 83 | 42 | - | 32 | 35 | 0.9 | 18 | 2 |
320 | N Eckhoff | Central Lakes | 21 | 4 | 404 | 10 | 33 | 43 | 22 | - | 19 | 33 | 0.6 | 23 | 0 |
321 | S Sovocool | Onondaga | 29 | 17 | 227 | 44 | 66 | 110 | 49 | - | 40 | 38 | 1.1 | 34 | 3 |
322 | J Roussell | Finger Lakes | 17 | 16 | 405 | 15 | 61 | 76 | 40 | 3 | 10 | 59 | 0.2 | 13 | 8 |
323 | M Nelson | Kingsborough | 22 | 12 | 166 | 40 | 75 | 115 | 54 | 1 | 17 | 44 | 0.4 | 15 | 12 |
324 | S Hnat | Genesee | 14 | 13 | 379 | 27 | 84 | 111 | 32 | 1 | 4 | 26 | 0.2 | 13 | 7 |
325 | S George | Riverland | 20 | 7 | 342 | 39 | 51 | 90 | 51 | 3 | 10 | 25 | 0.4 | 15 | 3 |
326 | M Kallberg | Minnesota North College - Mesabi Range | 19 | 15 | 492 | 27 | 60 | 87 | 33 | - | 17 | 68 | 0.3 | 19 | 9 |
327 | W UsesArrow | Minnesota West | 30 | 29 | 604 | 26 | 58 | 84 | 19 | - | 35 | 34 | 1.0 | 27 | 1 |
328 | A Dodd | Mohawk Valley | 22 | 6 | 442 | 68 | 75 | 143 | 34 | - | 9 | 23 | 0.4 | 12 | 21 |
328 | C Valentine | Patrick & Henry | 11 | 1 | 44 | 10 | 18 | 28 | 13 | - | 14 | 16 | 0.9 | 15 | 0 |
330 | A Jepsen | Mohawk Valley | 18 | 1 | 297 | 3 | 23 | 26 | 16 | - | 10 | 5 | 2.0 | 8 | 1 |
331 | E Thurnau | Riverland | 24 | 24 | 578 | 27 | 105 | 132 | 36 | - | 27 | 33 | 0.8 | 28 | 12 |
332 | Y Colon | Rhode Island | 26 | 2 | 62 | 30 | 39 | 69 | 17 | - | 23 | 37 | 0.6 | 25 | 1 |
333 | J Price | Northern Essex | 20 | 20 | 575 | 60 | 107 | 167 | 58 | 1 | 34 | 70 | 0.5 | 55 | 15 |
334 | K Foster | St. Cloud Tech | 21 | - | 246 | 25 | 21 | 46 | 15 | - | 10 | 15 | 0.7 | 18 | 1 |
335 | R Dempsey | Herkimer | 24 | 8 | 385 | 71 | 78 | 149 | 27 | 1 | 8 | 31 | 0.3 | 17 | 9 |
335 | A Foley | Tompkins Cortland | 12 | 11 | 299 | 18 | 21 | 39 | 26 | 1 | 21 | 41 | 0.5 | 15 | 0 |
337 | Q Lake | Fulton-Montgomery | 16 | 7 | 114 | 17 | 49 | 66 | 29 | - | 35 | 17 | 2.1 | 19 | 0 |
338 | K Rojas | Kingsborough | 24 | 19 | 135 | 20 | 28 | 48 | 54 | 2 | 17 | 37 | 0.5 | 41 | 1 |
339 | S Harris | St. Cloud Tech | 26 | 11 | 444 | 8 | 39 | 47 | 28 | - | 17 | 52 | 0.3 | 13 | 1 |
340 | A Gangemi-Berger | Ocean County | 18 | 18 | 433 | 30 | 76 | 106 | 61 | 4 | 21 | 71 | 0.3 | 7 | 2 |
340 | J Torres | Holyoke | 6 | 5 | 181 | 35 | 38 | 73 | 12 | - | 6 | 29 | 0.2 | 6 | 2 |
340 | K Young | Minnesota North College - Mesabi Range | 22 | 20 | 468 | 25 | 91 | 116 | 70 | - | 12 | 23 | 0.5 | 22 | 6 |
343 | T Jacobs | Onondaga | 30 | 17 | 224 | 76 | 107 | 183 | 58 | 1 | 21 | 39 | 0.5 | 34 | 52 |
344 | H Richardson | Owens | 21 | 8 | 430 | 21 | 47 | 68 | 33 | - | 10 | 42 | 0.2 | 23 | 5 |
345 | L Morales | Monroe College - Bronx | 33 | 5 | 549 | 44 | 35 | 79 | 63 | 1 | 42 | 114 | 0.4 | 47 | 1 |
346 | J Clark | Western Tech | 19 | 1 | 405 | 26 | 50 | 76 | 19 | 0 | 16 | 47 | 0.3 | 5 | 1 |
347 | C Shelds | RCSJ Gloucester | 24 | 3 | 403 | 14 | 31 | 45 | 8 | - | 43 | 19 | 2.3 | 25 | 2 |
348 | M Ballweg | Minnesota State | 19 | 4 | 269 | 8 | 22 | 30 | 11 | - | 14 | 15 | 0.9 | 14 | 0 |
349 | J O'Hare | Hudson Valley | 22 | 22 | 642 | 45 | 66 | 111 | 22 | - | 29 | 44 | 0.7 | 20 | 3 |
350 | C Dygert | Herkimer | 25 | 4 | 368 | 23 | 35 | 58 | 19 | 0 | 36 | 39 | 0.9 | 19 | 2 |
351 | B Watson | Jefferson (NY) | 28 | 7 | 441 | 63 | 90 | 153 | 21 | - | 9 | 36 | 0.3 | 15 | 53 |
352 | M Gibson | Onondaga | 29 | 4 | 148 | 73 | 76 | 149 | 41 | - | 6 | 21 | 0.3 | 16 | 15 |
353 | J Conyers | CC of Allegheny County | 3 | - | 39 | 6 | 6 | 12 | 6 | - | 0 | 4 | 0.0 | 0 | 0 |
353 | T Rivera | Suffolk County | 12 | - | 38 | 12 | 25 | 37 | 25 | 1 | 2 | 49 | 0.0 | 7 | 2 |
355 | J Gunter | Monroe College - Bronx | 34 | 18 | 626 | 55 | 57 | 112 | 83 | - | 40 | 92 | 0.4 | 61 | 2 |
356 | J McNally | Joliet | 27 | 5 | 418 | 29 | 77 | 106 | 34 | 0 | 10 | 35 | 0.3 | 7 | 5 |
357 | J Hill | Onondaga | 21 | - | 50 | 15 | 29 | 44 | 16 | - | 12 | 19 | 0.6 | 7 | 0 |
358 | V Nwabufo | Dallas College - Cedar Valley | 25 | 8 | 334 | 40 | 69 | 109 | 46 | 1 | 4 | 26 | 0.2 | 17 | 13 |
359 | S McBrayer | Ocean County | 17 | 16 | 462 | 37 | 32 | 69 | 26 | - | 26 | 68 | 0.4 | 17 | 1 |
360 | T Hurd | Nassau | 20 | 3 | 84 | 24 | 25 | 49 | 22 | - | 15 | 32 | 0.5 | 40 | 1 |
361 | C Mitchell | Minnesota North College - Rainy River | 19 | - | 234 | 24 | 19 | 43 | 44 | 1 | 2 | 18 | 0.1 | 11 | 0 |
362 | A Eggleston | Herkimer | 26 | 4 | 427 | 35 | 64 | 99 | 27 | 0 | 17 | 27 | 0.6 | 20 | 5 |
363 | S Creighton | Queensborough | 18 | 11 | 161 | 22 | 72 | 94 | 51 | 2 | 11 | 63 | 0.2 | 17 | 2 |
363 | X Stewart-Greer | Monroe College - Bronx | 27 | 7 | 368 | 48 | 66 | 114 | 53 | 2 | 4 | 56 | 0.1 | 14 | 11 |
365 | G Luft | Finger Lakes | 11 | 10 | 241 | 3 | 23 | 26 | 9 | 1 | 17 | 55 | 0.3 | 5 | 0 |
366 | A Smith | Kingsborough | 23 | 1 | 58 | 13 | 15 | 28 | 17 | 0 | 19 | 26 | 0.7 | 24 | 1 |
367 | A Bateman | RCSJ Gloucester | 25 | - | 316 | 12 | 17 | 29 | 18 | - | 17 | 28 | 0.6 | 20 | 0 |
368 | K Faulk | Montgomery County | 13 | 5 | 307 | 4 | 22 | 26 | 23 | - | 8 | 22 | 0.4 | 14 | 0 |
368 | A Fraser | Bergen | 12 | 7 | 247 | 20 | 40 | 60 | 14 | - | 6 | 50 | 0.1 | 6 | 0 |
368 | S Manning | SUNY Adirondack | 12 | 11 | 81 | 3 | 28 | 31 | 15 | - | 6 | 39 | 0.2 | 3 | 1 |
368 | M Pechin | CC of Allegheny County | 4 | 4 | 127 | 3 | 15 | 18 | 6 | - | 3 | 12 | 0.3 | 4 | 0 |
372 | A Frye | Nassau | 25 | 1 | 145 | 25 | 35 | 60 | 22 | 1 | 4 | 17 | 0.2 | 13 | 4 |
373 | A Scully | Ocean County | 13 | 3 | 236 | 7 | 36 | 43 | 18 | - | 6 | 25 | 0.2 | 12 | 1 |
374 | H Gullickson | Minnesota North College - Itasca | 16 | 6 | 485 | 17 | 30 | 47 | 18 | - | 9 | 54 | 0.2 | 13 | 0 |
375 | A Ziede | Minnesota West | 31 | - | 305 | 32 | 41 | 73 | 53 | 1 | 19 | 39 | 0.5 | 22 | 5 |
376 | A Macias | Kingsborough | 19 | 2 | 48 | 3 | 7 | 10 | 22 | 0 | 5 | 16 | 0.3 | 11 | 0 |
377 | D Myers | Monroe College - Bronx | 33 | 28 | 716 | 87 | 118 | 205 | 109 | 7 | 20 | 117 | 0.2 | 59 | 10 |
378 | G Santos - Rodriguez | Holyoke | 4 | 4 | 121 | 3 | 12 | 15 | 12 | 1 | 4 | 36 | 0.1 | 8 | 0 |
378 | A Stevens | Jefferson (NY) | 20 | - | 164 | 27 | 39 | 66 | 15 | - | 5 | 22 | 0.2 | 6 | 3 |
378 | K York | Herkimer | 24 | 8 | 363 | 25 | 33 | 58 | 26 | 0 | 32 | 38 | 0.8 | 26 | 3 |
381 | E Asimakopoulos | Kingsborough | 18 | 9 | 64 | 24 | 45 | 69 | 44 | 2 | 15 | 14 | 1.1 | 18 | 3 |
382 | E Wright | Genesee | 14 | 8 | 283 | 24 | 31 | 55 | 28 | - | 2 | 44 | 0.0 | 7 | 1 |
383 | G Talento | Butler County | 5 | 5 | 156 | 12 | 12 | 24 | 9 | - | 5 | 16 | 0.3 | 7 | 2 |
384 | M Auxier | Cayuga | 25 | 12 | 134 | 30 | 34 | 64 | 51 | 3 | 9 | 13 | 0.7 | 8 | 3 |
385 | J Ertel | Genesee | 14 | 7 | 358 | 35 | 73 | 108 | 12 | - | 7 | 30 | 0.2 | 17 | 0 |
385 | K Eustache | Northampton | 20 | 1 | 244 | 15 | 23 | 38 | 30 | 0 | 12 | 25 | 0.5 | 8 | 5 |
385 | B Sanchez | Springfield Tech | 6 | 3 | 6 | 6 | 19 | 25 | 14 | 1 | 0 | 10 | 0.0 | 0 | 0 |
388 | M Hersen | Minnesota North College - Itasca | 11 | 5 | 321 | 5 | 22 | 27 | 8 | - | 5 | 45 | 0.1 | 6 | 1 |
389 | A Castracane | Hudson Valley | 20 | 1 | 296 | 23 | 32 | 55 | 26 | - | 10 | 27 | 0.4 | 15 | 0 |
390 | T Ducey | SUNY Adirondack | 17 | 9 | 97 | 48 | 42 | 90 | 18 | 1 | 6 | 28 | 0.2 | 9 | 0 |
391 | S Thervil | Suffolk County | 20 | 17 | 98 | 55 | 80 | 135 | 22 | 1 | 18 | 47 | 0.4 | 9 | 6 |
392 | C Miller | Minnesota West | 29 | - | 285 | 8 | 29 | 37 | 9 | - | 19 | 11 | 1.7 | 11 | 2 |
393 | I Burgos | Northern Essex | 20 | 14 | 580 | 24 | 50 | 74 | 35 | - | 42 | 49 | 0.9 | 33 | 6 |
394 | A Miniano | Queensborough | 15 | 8 | 155 | 9 | 13 | 22 | 5 | 0 | 10 | 32 | 0.3 | 7 | 0 |
395 | J Domaingue | Holyoke | 4 | 3 | 98 | 1 | 7 | 8 | 11 | 1 | 0 | 17 | 0.0 | 3 | 0 |
396 | J Nantipia | Bergen | 13 | 8 | 211 | 32 | 66 | 98 | 33 | 4 | 2 | 22 | 0.1 | 6 | 4 |
397 | A Gjeloshi | Kingsborough | 20 | - | 36 | 13 | 22 | 35 | 17 | 0 | 16 | 18 | 0.9 | 15 | 1 |
398 | A Patino | RCSJ Cumberland | 16 | 7 | 473 | 24 | 40 | 64 | 28 | - | 10 | 50 | 0.2 | 18 | 3 |
399 | M Weigand | Mohawk Valley | 17 | 2 | 244 | 9 | 21 | 30 | 15 | - | 11 | 21 | 0.5 | 3 | 1 |
400 | T Piecek | St. Cloud Tech | 24 | 3 | 224 | 11 | 18 | 29 | 8 | - | 7 | 9 | 0.8 | 6 | 1 |
400 | G Roman | Springfield Tech | 6 | 6 | 6 | 7 | 28 | 35 | 23 | 1 | 2 | 15 | 0.1 | 0 | 0 |
400 | N Sullivan | Minnesota North College - Rainy River | 24 | 6 | 471 | 42 | 50 | 92 | 61 | 2 | 25 | 48 | 0.5 | 15 | 4 |
403 | K Lee | Dallas College - Cedar Valley | 25 | 2 | 195 | 9 | 18 | 27 | 14 | - | 18 | 21 | 0.9 | 6 | 0 |
404 | Z Scott | Fulton-Montgomery | 19 | 3 | 41 | 26 | 42 | 68 | 23 | - | 4 | 23 | 0.2 | 7 | 0 |
405 | Z Cornell | Corning | 14 | 4 | 125 | 8 | 25 | 33 | 19 | - | 2 | 12 | 0.2 | 3 | 1 |
406 | K Louissaint | Queensborough | 15 | 8 | 74 | 27 | 27 | 54 | 15 | - | 9 | 42 | 0.2 | 9 | 2 |
407 | D Tarpeh | Minnesota North College - Itasca | 17 | 17 | 510 | 35 | 60 | 95 | 23 | - | 4 | 46 | 0.1 | 12 | 0 |
408 | S Wechtler | Sussex County | 26 | 23 | 620 | 35 | 75 | 110 | 19 | - | 42 | 44 | 1.0 | 29 | 0 |
409 | R DeJesus | Philadelphia | 9 | 7 | 196 | 12 | 25 | 37 | 30 | 1 | 2 | 16 | 0.1 | 7 | 2 |
409 | K Holland | CC of Allegheny County | 4 | 4 | 86 | 5 | 9 | 14 | 9 | 1 | 0 | 8 | 0.0 | 1 | 0 |
409 | M Toner | Dutchess | 19 | 15 | 295 | 38 | 52 | 90 | 27 | - | 7 | 35 | 0.2 | 14 | 2 |
412 | J Verrier | Minnesota North College - Rainy River | 20 | 3 | 325 | 11 | 27 | 38 | 14 | - | 8 | 21 | 0.4 | 10 | 0 |
413 | A Aratare | SUNY Adirondack | 12 | 2 | 54 | 17 | 25 | 42 | 29 | - | 7 | 32 | 0.2 | 8 | 1 |
413 | D Cook | Rhode Island | 24 | - | 34 | 19 | 48 | 67 | 29 | - | 7 | 15 | 0.5 | 14 | 2 |
413 | A Dillon | Brookdale | 12 | 2 | 12 | 0 | 26 | 26 | 25 | - | 14 | 20 | 0.7 | 17 | 0 |
416 | E Epolle-Njabe | Prince George's | 21 | 12 | 365 | 46 | 46 | 92 | 55 | 3 | 1 | 23 | 0.0 | 6 | 17 |
417 | J Beverly | Suffolk County | 19 | 11 | 102 | 43 | 57 | 100 | 24 | 0 | 8 | 25 | 0.3 | 9 | 0 |
418 | S Edin | Northland | 28 | - | 300 | 14 | 34 | 48 | 18 | - | 12 | 16 | 0.8 | 4 | 3 |
419 | J Caffe | Camden County | 20 | 5 | 377 | 21 | 32 | 53 | 12 | - | 18 | 56 | 0.3 | 15 | 1 |
420 | E Shelton | Suffolk County | 14 | 5 | 54 | 20 | 28 | 48 | 29 | 1 | 2 | 21 | 0.1 | 2 | 0 |
421 | D Cheatham | Monroe College - Bronx | 28 | 15 | 400 | 31 | 72 | 103 | 80 | 6 | 28 | 36 | 0.8 | 21 | 14 |
422 | M Ballard | St. Cloud Tech | 21 | - | 175 | 9 | 16 | 25 | 23 | - | 8 | 15 | 0.5 | 10 | 1 |
423 | R Reese | Corning | 20 | 8 | 213 | 36 | 64 | 100 | 27 | - | 5 | 16 | 0.3 | 8 | 5 |
424 | L Gronemus | Western Tech | 19 | 19 | 626 | 12 | 55 | 67 | 16 | 0 | 4 | 95 | 0.0 | 12 | 1 |
425 | M Comrie | Fulton-Montgomery | 18 | - | 39 | 15 | 18 | 33 | 11 | - | 14 | 21 | 0.7 | 11 | 0 |
425 | A Villari | RCSJ Gloucester | 21 | 1 | 146 | 19 | 22 | 41 | 15 | - | 8 | 16 | 0.5 | 11 | 2 |
427 | L Slattery | SUNY Adirondack | 12 | 8 | 56 | 10 | 17 | 27 | 13 | - | 9 | 30 | 0.3 | 5 | 1 |
428 | M Harmer | Herkimer | 23 | 2 | 186 | 19 | 8 | 27 | 12 | 0 | 9 | 10 | 0.9 | 7 | 2 |
429 | C Foy | Kingsborough | 23 | 8 | 132 | 46 | 62 | 108 | 27 | 0 | 11 | 20 | 0.6 | 22 | 11 |
430 | B Finken | Minnesota State | 23 | 17 | 450 | 19 | 40 | 59 | 34 | - | 13 | 17 | 0.8 | 15 | 3 |
431 | C Jean | Nassau | 27 | 9 | 233 | 39 | 62 | 101 | 73 | 5 | 15 | 27 | 0.6 | 30 | 0 |
432 | M Franklin | Rochester | 23 | 0 | 319 | 9 | 27 | 36 | 19 | 0 | 27 | 36 | 0.8 | 17 | 1 |
433 | B Godfrey | RCSJ Cumberland | 16 | 5 | 413 | 8 | 25 | 33 | 20 | - | 6 | 49 | 0.1 | 10 | 0 |
434 | G Vicenty | Springfield Tech | 6 | 6 | 6 | 2 | 10 | 12 | 14 | 2 | 0 | 15 | 0.0 | 0 | 0 |
435 | S Osman | Dallas College - Richland | 17 | 5 | 339 | 14 | 28 | 42 | 17 | - | 4 | 21 | 0.2 | 2 | 1 |
436 | S McFarlane | Western Tech | 19 | 18 | 601 | 7 | 70 | 77 | 32 | 0 | 3 | 71 | 0.0 | 21 | 3 |
437 | S Murray | Cayuga | 23 | - | 87 | 3 | 12 | 15 | 11 | - | 4 | 43 | 0.1 | 1 | 2 |
438 | H Buysse | Herkimer | 26 | 6 | 320 | 29 | 32 | 61 | 28 | 0 | 12 | 14 | 0.9 | 21 | 2 |
439 | K Birdsong | Joliet | 18 | - | 152 | 7 | 11 | 18 | 24 | 1 | 9 | 13 | 0.7 | 12 | 1 |
440 | C Golden | Dallas College - Cedar Valley | 25 | 1 | 164 | 2 | 20 | 22 | 16 | - | 9 | 5 | 1.8 | 12 | 0 |
440 | M Shields | Brookdale | 15 | 2 | 42 | 0 | 20 | 20 | 9 | - | 3 | 10 | 0.3 | 3 | 2 |
442 | K Casseus | St. Cloud Tech | 18 | - | 133 | 8 | 20 | 28 | 15 | - | 5 | 10 | 0.5 | 6 | 3 |
442 | T Harper | Dallas College - Cedar Valley | 24 | 1 | 149 | 4 | 10 | 14 | 13 | - | 11 | 19 | 0.6 | 4 | 0 |
444 | C Djuge Simo | Bergen | 13 | 4 | 191 | 14 | 41 | 55 | 15 | 1 | 0 | 18 | 0.0 | 0 | 2 |
445 | E Sanchez | Passaic County | 22 | 1 | 558 | 47 | 33 | 80 | 20 | - | 11 | 14 | 0.8 | 17 | 1 |
446 | A Powell | Northern Essex | 15 | - | 184 | 5 | 14 | 19 | 8 | - | 7 | 18 | 0.4 | 7 | 0 |
447 | A Curry | Anoka-Ramsey | 30 | 2 | 305 | 22 | 31 | 53 | 24 | - | 15 | 27 | 0.6 | 11 | 3 |
447 | L DeRose | Butler County | 6 | 3 | 154 | 3 | 16 | 19 | 12 | - | 5 | 38 | 0.1 | 1 | 0 |
447 | J Rodriguez | RCSJ Cumberland | 15 | 4 | 283 | 11 | 10 | 21 | 20 | 1 | 2 | 24 | 0.1 | 17 | 2 |
450 | D Loucks | Corning | 20 | 19 | 274 | 32 | 141 | 173 | 40 | 2 | 24 | 82 | 0.3 | 10 | 5 |
451 | I Shenandoah-Kurtz | Onondaga | 27 | - | 72 | 36 | 42 | 78 | 33 | - | 9 | 19 | 0.5 | 7 | 3 |
452 | N Edwards | Borough of Manhattan | 14 | 0 | 70 | 13 | 10 | 23 | 14 | 1 | 0 | 17 | 0.0 | 8 | 2 |
453 | A Ahmemulic | North Country | 20 | 2 | 302 | 10 | 35 | 45 | 24 | - | 2 | 13 | 0.2 | 3 | 0 |
454 | S Kaliku | Hudson Valley | 14 | - | 85 | 3 | 11 | 14 | 19 | - | 0 | 15 | 0.0 | 4 | 0 |
455 | E Brandon | Joliet | 27 | - | 185 | 10 | 22 | 32 | 15 | - | 4 | 21 | 0.2 | 5 | 3 |
456 | Y Romero | Bergen | 13 | 3 | 223 | 11 | 16 | 27 | 16 | - | 7 | 31 | 0.2 | 0 | 0 |
456 | L Webb | Nassau | 26 | 2 | 117 | 26 | 30 | 56 | 28 | 0 | 3 | 16 | 0.2 | 17 | 0 |
458 | B Ossimina | Ocean County | 17 | 12 | 332 | 20 | 43 | 63 | 61 | 6 | 17 | 33 | 0.5 | 21 | 1 |
459 | S Yang | Queensborough | 13 | 5 | 105 | 5 | 9 | 14 | 10 | 0 | 2 | 17 | 0.1 | 7 | 0 |
460 | J Hiltner | St. Cloud Tech | 23 | 8 | 227 | 21 | 18 | 39 | 16 | - | 9 | 7 | 1.3 | 3 | 4 |
461 | M Beltran | Dallas College - Richland | 17 | 7 | 344 | 8 | 12 | 20 | 16 | - | 6 | 24 | 0.3 | 0 | 1 |
461 | B Rivera | Camden County | 17 | 2 | 181 | 5 | 9 | 14 | 11 | - | 3 | 11 | 0.3 | 5 | 0 |
463 | J Manns | Patrick & Henry | 8 | 1 | 12 | 2 | 8 | 10 | 1 | - | 3 | 5 | 0.6 | 4 | 1 |
463 | E Perez | Bronx | 8 | 8 | 272 | 4 | 12 | 16 | 19 | 1 | 3 | 42 | 0.1 | 4 | 0 |
465 | J Howard | Ocean County | 11 | 4 | 111 | 14 | 10 | 24 | 4 | - | 1 | 8 | 0.1 | 5 | 0 |
466 | A Dowe | Bronx | 7 | 6 | 194 | 7 | 32 | 39 | 17 | 1 | 1 | 21 | 0.0 | 4 | 0 |
467 | J Cobbe | Minnesota North College - Rainy River | 19 | - | 71 | 4 | 9 | 13 | 1 | - | 0 | 3 | 0.0 | 2 | 1 |
468 | K Lopez | Fulton-Montgomery | 17 | 1 | 18 | 6 | 11 | 17 | 6 | - | 6 | 8 | 0.8 | 3 | 0 |
469 | L Danaher | SUNY Adirondack | 19 | 1 | 61 | 4 | 11 | 15 | 2 | - | 1 | 8 | 0.1 | 0 | 0 |
470 | A Corona | Monroe College - Bronx | 23 | 1 | 126 | 16 | 29 | 45 | 29 | - | 4 | 20 | 0.2 | 8 | 1 |
471 | M Kerby | RCSJ Gloucester | 19 | 2 | 113 | 10 | 14 | 24 | 15 | - | 3 | 6 | 0.5 | 3 | 4 |
472 | J Ruiz | Cayuga | 20 | - | 51 | 10 | 9 | 19 | 6 | - | 4 | 5 | 0.8 | 5 | 0 |
473 | M Patton | Butler County | 7 | 2 | 134 | 6 | 13 | 19 | 1 | - | 1 | 4 | 0.3 | 0 | 0 |
474 | L Gillissen | Bergen | 9 | 3 | 106 | 6 | 9 | 15 | 8 | - | 0 | 10 | 0.0 | 5 | 1 |
475 | K Jones | Minnesota State | 15 | 4 | 101 | 3 | 6 | 9 | 1 | - | 3 | 7 | 0.4 | 1 | 0 |
476 | J Achilles | CC of Allegheny County | 3 | - | 15 | 0 | 1 | 1 | 3 | - | 0 | 2 | 0.0 | 0 | 0 |
476 | C Calimese | Bronx | 8 | 8 | 276 | 9 | 19 | 28 | 13 | 0 | 2 | 10 | 0.2 | 1 | 3 |
476 | J Caraballo | Springfield Tech | 6 | 1 | 6 | 0 | 0 | 0 | 1 | - | 0 | 7 | 0.0 | 0 | 0 |
476 | S Fredrick | CC of Allegheny County | 3 | - | 7 | 0 | 1 | 1 | 1 | - | 0 | 1 | 0.0 | 0 | 0 |
476 | E Gongola | SUNY Adirondack | 18 | 1 | 46 | 0 | 7 | 7 | 8 | - | 0 | 12 | 0.0 | 1 | 0 |
476 | M Mahdy | Holyoke | 5 | 3 | 131 | 2 | 9 | 11 | 5 | - | 0 | 6 | 0.0 | 0 | 0 |