played in 60% of team games
Rk | Name | gp | gs | min | off | def | reb | pf | dq | ast | to | a/to | stl | blk | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | M Brennan | UConn Avery Point | 31 | 31 | 179 | 81 | 88 | 169 | 76 | 1 | 233 | 124 | 1.9 | 175 | 5 |
2 | A Wilkes | Atlantic Cape | 12 | 12 | 12 | 33 | 75 | 108 | 42 | 3 | 53 | 76 | 0.7 | 41 | 18 |
3 | M Homola | Anoka-Ramsey | 28 | 28 | 710 | 39 | 54 | 93 | 59 | 0 | 67 | 79 | 0.8 | 114 | 2 |
4 | A Crawford | CT State | 8 | 8 | 8 | 29 | 36 | 65 | 27 | 1 | 35 | 51 | 0.7 | 23 | 7 |
5 | A Aragona | Sussex County | 27 | 27 | 320 | 133 | 213 | 346 | 66 | 2 | 69 | 60 | 1.1 | 132 | 21 |
6 | L Radziak | Luzerne County | 24 | 24 | 24 | 9 | 55 | 64 | 61 | 3 | 64 | 58 | 1.1 | 40 | 7 |
7 | D Monroe | Minnesota North College - Rainy River | 26 | 24 | 931 | 53 | 140 | 193 | 54 | 3 | 65 | 44 | 1.5 | 55 | 14 |
8 | I Bradley | Beaver County | 16 | 16 | 604 | 100 | 217 | 317 | 42 | - | 23 | 66 | 0.3 | 17 | 53 |
9 | M Craig | Butler County | 21 | 21 | 826 | 138 | 274 | 412 | 51 | 1 | 63 | 85 | 0.7 | 25 | 29 |
10 | A Caba | SUNY Adirondack | 1 | 1 | 1 | 0 | 0 | 0 | 0 | - | 0 | 0 | - | 0 | 0 |
11 | A Harper | Columbia-Greene | 2 | 2 | 2 | 5 | 8 | 13 | 0 | - | 0 | 2 | 0.0 | 5 | 2 |
12 | Z Thomas | Passaic County | 28 | 28 | 1046 | 68 | 118 | 186 | 55 | 0 | 77 | 83 | 0.9 | 91 | 9 |
13 | K Hargrove | Massasoit | 18 | 14 | 85 | 30 | 39 | 69 | 36 | 2 | 82 | 59 | 1.4 | 38 | 3 |
14 | A Williams | Madison | 26 | 26 | 854 | 46 | 98 | 144 | 61 | 3 | 48 | 96 | 0.5 | 61 | 15 |
15 | R Dumoulin | Elgin | 32 | 32 | 1204 | 92 | 186 | 278 | 76 | 0 | 61 | 73 | 0.8 | 76 | 18 |
16 | B Baldwin | Minnesota North College - Hibbing | 27 | 24 | 747 | 39 | 125 | 164 | 73 | 4 | 84 | 73 | 1.2 | 58 | 9 |
17 | T Keys | Montgomery County | 23 | 16 | 23 | 66 | 128 | 194 | 45 | 3 | 33 | 62 | 0.5 | 42 | 10 |
18 | M Hecox | Rock Valley | 28 | 28 | 962 | 43 | 105 | 148 | 42 | 0 | 103 | 64 | 1.6 | 82 | 16 |
19 | T Rose | Ridgewater | 20 | 15 | 656 | 33 | 80 | 113 | 31 | - | 26 | 60 | 0.4 | 20 | 4 |
20 | N Marshall | Fulton-Montgomery | 20 | 20 | 91 | 62 | 111 | 173 | 28 | - | 72 | 62 | 1.2 | 56 | 5 |
21 | S Eure | Onondaga | 29 | 29 | 153 | 133 | 171 | 304 | 58 | - | 104 | 117 | 0.9 | 104 | 23 |
22 | C Langenbach | Sussex County | 27 | 27 | 311 | 111 | 165 | 276 | 73 | 3 | 80 | 75 | 1.1 | 54 | 23 |
23 | K Carder | North Country | 30 | 30 | 199 | 155 | 241 | 396 | 59 | 0 | 65 | 76 | 0.9 | 35 | 16 |
24 | T Fumasoli | Dutchess | 11 | 11 | 50 | 16 | 43 | 59 | 4 | - | 26 | 3 | 8.7 | 17 | 1 |
25 | A Holthusen | Minnesota North College - Itasca | 19 | 8 | 530 | 54 | 98 | 152 | 50 | 2 | 63 | 68 | 0.9 | 41 | 14 |
26 | H Dalonzo | Brookdale | 20 | 16 | 48 | 10 | 160 | 170 | 34 | 1 | 111 | 64 | 1.7 | 72 | 1 |
27 | A Desjarlait | Minnesota North College - Hibbing | 32 | 31 | 906 | 101 | 181 | 282 | 71 | 3 | 56 | 67 | 0.8 | 62 | 17 |
28 | M Franco | Elgin | 32 | 30 | 1183 | 55 | 104 | 159 | 70 | 1 | 80 | 94 | 0.9 | 114 | 18 |
29 | K Haensler | Anne Arundel | 21 | 19 | 681 | 26 | 82 | 108 | 32 | 0 | 17 | 69 | 0.2 | 39 | 6 |
30 | C Colon | Philadelphia | 26 | 24 | 826 | 95 | 103 | 198 | 81 | 4 | 72 | 84 | 0.9 | 77 | 34 |
31 | L Martinez | Bergen | 24 | 22 | 891 | 67 | 138 | 205 | 48 | - | 92 | 75 | 1.2 | 60 | 19 |
32 | W Staggs | Columbus State | 24 | 22 | 666 | 121 | 172 | 293 | 57 | 1 | 55 | 77 | 0.7 | 52 | 9 |
33 | T Works | Owens | 34 | 33 | 1045 | 69 | 127 | 196 | 78 | 1 | 157 | 147 | 1.1 | 56 | 2 |
34 | T Sutton | Minnesota North College - Vermilion | 22 | 22 | 812 | 64 | 158 | 222 | 63 | 2 | 28 | 96 | 0.3 | 67 | 15 |
35 | S Hovland | Minnesota State | 25 | 25 | 860 | 54 | 91 | 145 | 49 | 0 | 33 | 40 | 0.8 | 20 | 19 |
36 | E Berisha | Kingsborough | 18 | 18 | 136 | 8 | 52 | 60 | 30 | 1 | 34 | 92 | 0.4 | 39 | 0 |
37 | P Cox | Minnesota North College - Rainy River | 27 | 24 | 844 | 69 | 104 | 173 | 61 | 1 | 48 | 30 | 1.6 | 82 | 3 |
38 | K Davis | Passaic County | 26 | 21 | 982 | 124 | 206 | 330 | 61 | 3 | 112 | 72 | 1.6 | 94 | 19 |
39 | P London | Atlantic Cape | 14 | 14 | 14 | 43 | 81 | 124 | 28 | - | 31 | 66 | 0.5 | 35 | 3 |
40 | S Wheeler | Owens | 31 | 26 | 835 | 71 | 151 | 222 | 103 | 3 | 57 | 79 | 0.7 | 77 | 54 |
41 | A Muse | Luzerne County | 21 | 21 | 21 | 48 | 231 | 279 | 60 | 2 | 24 | 48 | 0.5 | 51 | 132 |
42 | C Burdett | Butler County | 22 | 22 | 845 | 48 | 125 | 173 | 42 | - | 75 | 99 | 0.8 | 33 | 7 |
43 | M Moore | Owens | 34 | 33 | 986 | 79 | 127 | 206 | 83 | 2 | 70 | 110 | 0.6 | 100 | 9 |
44 | B Heggie | Northland | 28 | 28 | 766 | 94 | 217 | 311 | 68 | 2 | 44 | 58 | 0.8 | 20 | 76 |
45 | N Gibson | CT State | 8 | 8 | 8 | 61 | 87 | 148 | 22 | - | 22 | 40 | 0.6 | 14 | 13 |
46 | O Moses | Passaic County | 26 | 25 | 915 | 174 | 148 | 322 | 62 | 2 | 64 | 67 | 1.0 | 50 | 9 |
47 | E Shaffer | Minnesota West | 27 | 26 | 728 | 75 | 216 | 291 | 75 | - | 27 | 78 | 0.3 | 34 | 19 |
48 | D DeBoue | Fulton-Montgomery | 17 | 17 | 56 | 40 | 91 | 131 | 23 | - | 88 | 44 | 2.0 | 65 | 8 |
49 | K Williams | Ocean County | 20 | 20 | 764 | 49 | 95 | 144 | 46 | - | 41 | 104 | 0.4 | 46 | 13 |
50 | T Taylor | North Country | 30 | 30 | 208 | 58 | 143 | 201 | 61 | 1 | 143 | 91 | 1.6 | 79 | 5 |
51 | T Day | Tompkins Cortland | 21 | 21 | 421 | 10 | 83 | 93 | 50 | - | 30 | 36 | 0.8 | 45 | 10 |
51 | C Estes | Hudson Valley | 22 | 16 | 496 | 36 | 108 | 144 | 50 | 4 | 52 | 68 | 0.8 | 44 | 14 |
51 | N Robinson | Massasoit | 23 | 17 | 89 | 155 | 126 | 281 | 48 | 2 | 37 | 48 | 0.8 | 50 | 17 |
54 | E Atsinger | Joliet | 25 | 24 | 743 | 38 | 65 | 103 | 43 | 0 | 70 | 49 | 1.4 | 63 | 7 |
55 | C Kretzer | Butler County | 21 | 21 | 834 | 6 | 65 | 71 | 24 | - | 103 | 101 | 1.0 | 42 | 1 |
56 | H Kreiger | Hudson Valley | 26 | 26 | 650 | 22 | 105 | 127 | 53 | 2 | 88 | 60 | 1.5 | 41 | 6 |
57 | A Shirley | Suffolk County | 22 | 21 | 164 | 39 | 132 | 171 | 9 | 0 | 53 | 93 | 0.6 | 52 | 5 |
58 | M Kupras | Kingsborough | 19 | 19 | 132 | 37 | 114 | 151 | 50 | - | 48 | 148 | 0.3 | 77 | 2 |
59 | C Ruiz | Columbia-Greene | 2 | 2 | 2 | 3 | 6 | 9 | 0 | - | 16 | 2 | 8.0 | 7 | 0 |
60 | J Jnobaptiste | DuPage | 25 | 24 | 888 | 30 | 134 | 164 | 52 | 1 | 81 | 126 | 0.6 | 89 | 34 |
61 | J Trowers | Monroe College - Bronx | 30 | 26 | 594 | 122 | 176 | 298 | 95 | 5 | 88 | 214 | 0.4 | 89 | 28 |
62 | C Mekash | Northland | 24 | 23 | 675 | 88 | 114 | 202 | 32 | 1 | 37 | 49 | 0.8 | 20 | 2 |
63 | A Calamia | Bergen | 24 | 24 | 823 | 96 | 129 | 225 | 70 | 3 | 32 | 65 | 0.5 | 33 | 38 |
64 | O Matti | Rochester | 23 | 21 | 879 | 27 | 54 | 81 | 36 | 1 | 44 | 57 | 0.8 | 37 | 4 |
65 | J Camacho | Passaic County | 26 | 23 | 897 | 77 | 170 | 247 | 67 | 0 | 60 | 49 | 1.2 | 53 | 57 |
66 | L McBean | Nassau | 29 | 19 | 185 | 47 | 56 | 103 | 55 | 2 | 63 | 72 | 0.9 | 68 | 3 |
67 | A Burke | UConn Avery Point | 30 | 30 | 174 | 69 | 38 | 107 | 47 | 0 | 50 | 78 | 0.6 | 49 | 0 |
68 | E Helzer | Cayuga | 22 | 22 | 199 | 45 | 96 | 141 | 56 | 1 | 80 | 54 | 1.5 | 88 | 10 |
69 | M Graber | Hudson Valley | 25 | 7 | 527 | 42 | 109 | 151 | 46 | 1 | 32 | 65 | 0.5 | 25 | 19 |
70 | T Engster | Hudson Valley | 26 | 24 | 616 | 70 | 129 | 199 | 46 | 2 | 130 | 95 | 1.4 | 79 | 12 |
71 | C Raven | Jefferson (NY) | 26 | 26 | 799 | 78 | 125 | 203 | 50 | - | 29 | 62 | 0.5 | 32 | 32 |
72 | K Beavers | Lake Superior | 21 | 18 | 638 | 35 | 105 | 140 | 47 | 1 | 102 | 95 | 1.1 | 38 | 3 |
72 | S Cabrales | Hocking | 18 | 18 | 445 | 12 | 47 | 59 | 27 | 0 | 28 | 73 | 0.4 | 11 | 5 |
72 | M Peak | Herkimer | 15 | 14 | 433 | 41 | 93 | 134 | 50 | 3 | 24 | 73 | 0.3 | 25 | 22 |
75 | K Kruser | Rock Valley | 30 | 30 | 975 | 68 | 175 | 243 | 74 | 1 | 94 | 96 | 1.0 | 42 | 11 |
75 | R Sanders | UConn Avery Point | 30 | 30 | 163 | 237 | 323 | 560 | 98 | 6 | 66 | 55 | 1.2 | 94 | 57 |
77 | C Nickens | Anoka-Ramsey | 27 | 27 | 596 | 137 | 115 | 252 | 69 | 1 | 36 | 22 | 1.6 | 49 | 14 |
78 | G Riley | Rochester | 23 | 23 | 718 | 21 | 92 | 113 | 52 | 2 | 94 | 56 | 1.7 | 28 | 0 |
79 | F Shaw | Minnesota North College - Rainy River | 27 | 21 | 796 | 47 | 45 | 92 | 93 | 7 | 50 | 42 | 1.2 | 65 | 3 |
80 | B Jones | Nassau | 29 | 28 | 200 | 33 | 60 | 93 | 72 | 1 | 74 | 66 | 1.1 | 80 | 1 |
81 | K Coops | St. Cloud Tech | 22 | 22 | 716 | 85 | 135 | 220 | 63 | 1 | 15 | 56 | 0.3 | 17 | 24 |
82 | S Patterson | Hostos | 32 | 32 | 293 | 90 | 195 | 285 | 73 | 3 | 101 | 113 | 0.9 | 82 | 20 |
83 | S Osborne | Massasoit | 23 | 15 | 95 | 122 | 133 | 255 | 48 | 2 | 71 | 53 | 1.3 | 50 | 55 |
84 | A Nelson | Bronx | 13 | 13 | 474 | 98 | 120 | 218 | 29 | 0 | 10 | 46 | 0.2 | 14 | 24 |
85 | K Whaley | Columbia-Greene | 2 | 2 | 2 | 8 | 14 | 22 | 0 | - | 1 | 1 | 1.0 | 2 | 1 |
86 | A Crosby | Jefferson (NY) | 26 | 26 | 763 | 110 | 151 | 261 | 65 | 1 | 28 | 64 | 0.4 | 27 | 79 |
87 | R Rouse | Brookdale | 26 | 25 | 167 | 9 | 98 | 107 | 49 | 1 | 46 | 75 | 0.6 | 59 | 4 |
88 | K Morrison | Quinsigamond | 8 | 8 | 256 | 3 | 3 | 6 | 0 | - | 3 | 0 | - | 0 | 3 |
89 | I LoVuolo | SUNY Broome | 22 | 22 | 744 | 20 | 113 | 133 | 33 | - | 43 | 72 | 0.6 | 37 | 30 |
90 | G Roberts | Minnesota North College - Itasca | 20 | 20 | 673 | 6 | 94 | 100 | 44 | 1 | 77 | 71 | 1.1 | 27 | 4 |
91 | K Beckham | Philadelphia | 24 | 23 | 803 | 43 | 87 | 130 | 43 | 2 | 198 | 84 | 2.4 | 98 | 7 |
92 | H Morris | Minnesota North College - Hibbing | 32 | 32 | 919 | 89 | 111 | 200 | 78 | 2 | 54 | 58 | 0.9 | 61 | 30 |
93 | L Archille | Middlesex College | 26 | 24 | 831 | 148 | 165 | 313 | 73 | 3 | 24 | 90 | 0.3 | 18 | 19 |
94 | A Cozzolino | SUNY Adirondack | 1 | 1 | 1 | 0 | 0 | 0 | 0 | - | 0 | 0 | - | 0 | 0 |
94 | N Saab | RCSJ Gloucester | 18 | 18 | 18 | 4 | 29 | 33 | 33 | 1 | 48 | 39 | 1.2 | 21 | 3 |
96 | C Hansen | Lake Superior | 22 | 20 | 512 | 49 | 65 | 114 | 61 | 4 | 32 | 46 | 0.7 | 15 | 4 |
97 | S Nahring | St. Cloud Tech | 22 | 22 | 697 | 32 | 100 | 132 | 88 | 7 | 47 | 135 | 0.3 | 43 | 9 |
98 | P Wallevand | Central Lakes | 25 | 16 | 565 | 54 | 89 | 143 | 44 | 1 | 44 | 30 | 1.5 | 23 | 11 |
99 | J Johnson | Dallas College - Cedar Valley | 26 | 19 | 77 | 20 | 66 | 86 | 40 | 1 | 45 | 30 | 1.5 | 22 | 2 |
100 | B Hinton | Springfield Tech | 26 | 21 | 26 | 9 | 28 | 37 | 38 | - | 111 | 63 | 1.8 | 67 | 13 |
101 | A Bryan | Bergen | 20 | 20 | 660 | 34 | 138 | 172 | 66 | 3 | 56 | 71 | 0.8 | 52 | 40 |
102 | S Cherenfant | Minnesota North College - Hibbing | 30 | 26 | 845 | 41 | 121 | 162 | 89 | 7 | 178 | 125 | 1.4 | 68 | 12 |
103 | L Clifford | Cayuga | 22 | 22 | 206 | 83 | 118 | 201 | 31 | - | 34 | 27 | 1.3 | 21 | 11 |
104 | K Lyga | Western Tech | 28 | 27 | 616 | 61 | 98 | 159 | 55 | 0 | 23 | 36 | 0.6 | 33 | 24 |
105 | L Theodore | Queensborough | 20 | 19 | 741 | 22 | 82 | 104 | 53 | 1 | 50 | 93 | 0.5 | 50 | 4 |
106 | M Cherne | Fond du Lac Tribal & CC | 17 | 17 | 610 | 54 | 116 | 170 | 52 | 2 | 25 | 76 | 0.3 | 15 | 5 |
107 | J Wunderlich | Northland | 28 | 28 | 887 | 35 | 130 | 165 | 44 | 1 | 99 | 120 | 0.8 | 36 | 3 |
108 | H Tahoun | Springfield Tech | 28 | 19 | 28 | 87 | 136 | 223 | 33 | - | 13 | 22 | 0.6 | 8 | 39 |
109 | C Koppenhaver | Harrisburg Area | 16 | 16 | 289 | 41 | 147 | 188 | 35 | - | 26 | 48 | 0.5 | 14 | 53 |
110 | K Drum | Harper | 29 | 26 | 1090 | 70 | 132 | 202 | 40 | 0 | 30 | 66 | 0.5 | 23 | 28 |
111 | K Wilson | Hostos | 33 | 30 | 279 | 181 | 215 | 396 | 63 | 1 | 47 | 65 | 0.7 | 56 | 18 |
112 | A Van Roekel | Minnesota West | 27 | 26 | 690 | 65 | 102 | 167 | 66 | 2 | 46 | 51 | 0.9 | 42 | 34 |
113 | J Allen | Bunker Hill | 20 | 20 | 96 | 57 | 86 | 143 | 58 | 3 | 48 | 79 | 0.6 | 43 | 13 |
114 | A Whitson | Rochester | 23 | 23 | 646 | 45 | 103 | 148 | 52 | 1 | 39 | 42 | 0.9 | 27 | 2 |
115 | S Healy | Anne Arundel | 25 | 24 | 916 | 160 | 251 | 411 | 55 | 1 | 30 | 50 | 0.6 | 33 | 39 |
116 | J Delgado | UConn Avery Point | 28 | 25 | 164 | 54 | 81 | 135 | 52 | 1 | 111 | 63 | 1.8 | 93 | 2 |
117 | C Francis | Nassau | 30 | 26 | 200 | 49 | 60 | 109 | 74 | 1 | 113 | 79 | 1.4 | 124 | 0 |
117 | A Jenkins | Suffolk County | 15 | 13 | 89 | 52 | 98 | 150 | 8 | - | 22 | 70 | 0.3 | 26 | 16 |
119 | E Schroer | Minnesota West | 26 | 26 | 1066 | 38 | 114 | 152 | 63 | 1 | 49 | 58 | 0.8 | 32 | 8 |
120 | A Eyles | Jefferson (NY) | 25 | 24 | 740 | 22 | 100 | 122 | 55 | 1 | 98 | 94 | 1.0 | 63 | 12 |
121 | K Karleski | Onondaga | 30 | 29 | 151 | 18 | 33 | 51 | 21 | - | 32 | 42 | 0.8 | 33 | 1 |
122 | K Miller | Northampton | 18 | 16 | 156 | 17 | 62 | 79 | 6 | - | 27 | 60 | 0.5 | 19 | 1 |
123 | M Adams | Herkimer | 17 | 14 | 476 | 35 | 69 | 104 | 58 | 3 | 24 | 55 | 0.4 | 32 | 9 |
124 | A Hotalen | SUNY Broome | 25 | 23 | 782 | 156 | 188 | 344 | 49 | - | 16 | 50 | 0.3 | 14 | 9 |
125 | M Boice | Tompkins Cortland | 21 | 21 | 461 | 32 | 80 | 112 | 42 | 1 | 50 | 73 | 0.7 | 47 | 8 |
126 | C Nitz | Rock Valley | 31 | 31 | 975 | 26 | 104 | 130 | 63 | 0 | 101 | 98 | 1.0 | 60 | 10 |
127 | L Ramsey | Minnesota West | 27 | 27 | 833 | 54 | 66 | 120 | 48 | - | 66 | 78 | 0.8 | 58 | 7 |
128 | N Soto Hernandez | Bunker Hill | 20 | 17 | 75 | 29 | 56 | 85 | 53 | 4 | 48 | 84 | 0.6 | 32 | 5 |
129 | H Heffner | Lehigh Carbon | 16 | 16 | 635 | 7 | 82 | 89 | 22 | - | 118 | 83 | 1.4 | 48 | 1 |
130 | S Jeffrey | Tompkins Cortland | 20 | 19 | 440 | 41 | 96 | 137 | 41 | 1 | 90 | 90 | 1.0 | 76 | 9 |
131 | M Thompson | Lorain County | 30 | 19 | 842 | 73 | 100 | 173 | 65 | 2 | 44 | 109 | 0.4 | 39 | 9 |
132 | C Hartman | Atlantic Cape | 11 | 11 | 11 | 12 | 105 | 117 | 34 | 1 | 14 | 23 | 0.6 | 9 | 15 |
132 | A Wuertz | St. Cloud Tech | 22 | 21 | 702 | 15 | 62 | 77 | 62 | 2 | 34 | 79 | 0.4 | 24 | 8 |
134 | A Bikowski | Middlesex College | 25 | 25 | 869 | 31 | 92 | 123 | 76 | 3 | 104 | 102 | 1.0 | 60 | 1 |
135 | Z Witherspoon | Queensborough | 18 | 17 | 645 | 33 | 89 | 122 | 37 | 0 | 24 | 42 | 0.6 | 19 | 92 |
136 | S Fleming | Jefferson (NY) | 26 | 25 | 724 | 36 | 90 | 126 | 50 | - | 85 | 95 | 0.9 | 63 | 2 |
137 | K Sweeney | Columbia-Greene | 2 | 2 | 2 | 7 | 6 | 13 | 0 | - | 1 | 1 | 1.0 | 3 | 1 |
138 | B Green | Nassau | 31 | 29 | 252 | 94 | 134 | 228 | 87 | 4 | 94 | 99 | 0.9 | 119 | 1 |
139 | T Mosley | Dallas College - Cedar Valley | 25 | 25 | 87 | 21 | 86 | 107 | 34 | - | 99 | 20 | 5.0 | 51 | 1 |
140 | D Alford | Schenectady County | 9 | 7 | 151 | 14 | 22 | 36 | 26 | 1 | 15 | 40 | 0.4 | 21 | 0 |
140 | J Ward | Dallas College - Cedar Valley | 21 | 13 | 59 | 55 | 114 | 169 | 34 | - | 29 | 21 | 1.4 | 22 | 5 |
142 | P Overbye | Minnesota North College - Mesabi Range | 23 | 20 | 738 | 60 | 66 | 126 | 38 | - | 23 | 54 | 0.4 | 39 | 7 |
143 | J Cruse | North Country | 30 | 30 | 188 | 98 | 165 | 263 | 64 | 1 | 27 | 50 | 0.5 | 39 | 21 |
144 | K Whelan | Minnesota North College - Hibbing | 32 | 6 | 729 | 66 | 169 | 235 | 66 | 0 | 30 | 45 | 0.7 | 48 | 14 |
145 | P Livingston | Sussex County | 20 | 19 | 170 | 14 | 58 | 72 | 67 | 1 | 111 | 89 | 1.2 | 40 | 12 |
146 | S Miller | Rock Valley | 31 | 29 | 814 | 82 | 169 | 251 | 70 | 0 | 70 | 88 | 0.8 | 38 | 7 |
147 | M Fellerman | Central Lakes | 26 | 14 | 565 | 50 | 66 | 116 | 35 | - | 72 | 58 | 1.2 | 35 | 13 |
148 | L DeBeatham | Herkimer | 19 | 19 | 590 | 15 | 51 | 66 | 57 | 4 | 38 | 59 | 0.6 | 54 | 4 |
149 | T Schleicher | Minnesota State | 25 | 24 | 582 | 61 | 82 | 143 | 81 | 1 | 22 | 61 | 0.4 | 25 | 7 |
150 | A Galasso | Ocean County | 18 | 18 | 592 | 48 | 79 | 127 | 44 | 1 | 12 | 108 | 0.1 | 20 | 6 |
151 | M Augustin | Anne Arundel | 25 | 25 | 930 | 20 | 75 | 95 | 67 | 1 | 133 | 134 | 1.0 | 70 | 0 |
152 | S Coleman | Camden County | 14 | 14 | 220 | 31 | 48 | 79 | 41 | 2 | 13 | 56 | 0.2 | 21 | 6 |
153 | T Herberger | Corning | 23 | 23 | 220 | 37 | 89 | 126 | 57 | - | 112 | 102 | 1.1 | 47 | 10 |
154 | E Billings-Harrison | Hostos | 29 | 13 | 239 | 48 | 120 | 168 | 63 | 1 | 69 | 71 | 1.0 | 61 | 2 |
155 | T Sutryk | Corning | 23 | 23 | 187 | 16 | 74 | 90 | 81 | 5 | 31 | 67 | 0.5 | 37 | 1 |
156 | B Wheeler | Lake Superior | 22 | 22 | 656 | 23 | 98 | 121 | 53 | 2 | 57 | 81 | 0.7 | 29 | 9 |
157 | L Bradham | Bunker Hill | 19 | 18 | 96 | 18 | 65 | 83 | 44 | 1 | 104 | 63 | 1.7 | 98 | 5 |
158 | K Reidel | Minnesota North College - Itasca | 24 | 24 | 840 | 73 | 83 | 156 | 41 | - | 21 | 45 | 0.5 | 37 | 3 |
159 | W Thames | Owens | 34 | 33 | 1064 | 179 | 197 | 376 | 73 | 1 | 45 | 76 | 0.6 | 80 | 20 |
160 | T Lupi | Schenectady County | 9 | 7 | 166 | 4 | 12 | 16 | 14 | - | 9 | 23 | 0.4 | 4 | 1 |
161 | H Keyser | Cayuga | 22 | 21 | 188 | 38 | 120 | 158 | 46 | - | 40 | 54 | 0.7 | 19 | 8 |
162 | T Edwards | Joliet | 27 | 13 | 573 | 89 | 152 | 241 | 71 | 1 | 40 | 59 | 0.7 | 46 | 22 |
163 | M Dreger | Minnesota State | 19 | 15 | 465 | 34 | 61 | 95 | 46 | 1 | 41 | 67 | 0.6 | 35 | 2 |
164 | K Martinez | Bronx | 10 | 9 | 370 | 27 | 43 | 70 | 24 | 1 | 19 | 57 | 0.3 | 11 | 3 |
165 | J Gardner | Clinton (NY) | 18 | 17 | 86 | 37 | 66 | 103 | 27 | - | 23 | 56 | 0.4 | 26 | 6 |
166 | A Robinson | Northampton | 21 | 21 | 148 | 43 | 83 | 126 | 45 | 1 | 36 | 123 | 0.3 | 39 | 3 |
167 | N Lane | Central Lakes | 27 | 26 | 729 | 114 | 93 | 207 | 49 | 1 | 47 | 33 | 1.4 | 29 | 3 |
168 | H Aho | Minnesota North College - Mesabi Range | 22 | 21 | 713 | 29 | 64 | 93 | 59 | 1 | 86 | 70 | 1.2 | 44 | 7 |
169 | R Rahmon-Sumlin | Lorain County | 29 | 22 | 724 | 75 | 160 | 235 | 79 | 2 | 50 | 61 | 0.8 | 43 | 6 |
170 | M Cotellese | Montgomery County | 24 | 23 | 24 | 34 | 69 | 103 | 29 | 1 | 41 | 54 | 0.8 | 18 | 10 |
171 | H Hansen | Minnesota North College - Mesabi Range | 24 | 23 | 671 | 119 | 146 | 265 | 51 | - | 16 | 48 | 0.3 | 14 | 45 |
171 | C Young | Western Tech | 28 | 1 | 444 | 17 | 60 | 77 | 24 | 0 | 14 | 23 | 0.6 | 28 | 2 |
173 | D McKinney | Philadelphia | 25 | 22 | 781 | 91 | 147 | 238 | 42 | - | 33 | 71 | 0.5 | 41 | 14 |
174 | D Tolbert | Hostos | 31 | 28 | 253 | 109 | 132 | 241 | 48 | 1 | 24 | 70 | 0.3 | 81 | 5 |
175 | M Walder | Columbus State | 24 | 20 | 599 | 85 | 118 | 203 | 78 | 6 | 35 | 69 | 0.5 | 33 | 9 |
176 | B Palmatier | Corning | 23 | 22 | 209 | 38 | 131 | 169 | 51 | 1 | 58 | 59 | 1.0 | 24 | 18 |
176 | A Santos | Middlesex College | 23 | 20 | 730 | 67 | 95 | 162 | 62 | 3 | 33 | 132 | 0.3 | 53 | 8 |
178 | C Wallace | Montgomery County | 24 | 24 | 24 | 41 | 76 | 117 | 29 | - | 61 | 114 | 0.5 | 26 | 3 |
179 | A Harmon | Philadelphia | 27 | 15 | 837 | 46 | 87 | 133 | 74 | 3 | 46 | 60 | 0.8 | 73 | 14 |
180 | N Gaito | Bergen | 24 | 24 | 928 | 44 | 44 | 88 | 55 | 2 | 66 | 51 | 1.3 | 47 | 6 |
181 | R Vreeland | St. Cloud Tech | 21 | 21 | 716 | 19 | 71 | 90 | 47 | - | 52 | 101 | 0.5 | 25 | 13 |
182 | E Franz | Minnesota North College - Itasca | 24 | 24 | 607 | 54 | 114 | 168 | 73 | 3 | 29 | 52 | 0.6 | 9 | 23 |
183 | E Calvey | Luzerne County | 24 | 24 | 24 | 18 | 102 | 120 | 25 | - | 101 | 61 | 1.7 | 75 | 1 |
184 | M Weekes | Fulton-Montgomery | 19 | 18 | 92 | 149 | 164 | 313 | 30 | - | 11 | 34 | 0.3 | 33 | 17 |
185 | A Meigs | Onondaga | 30 | 2 | 129 | 16 | 58 | 74 | 42 | - | 90 | 105 | 0.9 | 49 | 5 |
186 | B Barningham | Lake Superior | 22 | 20 | 671 | 16 | 55 | 71 | 48 | 1 | 35 | 65 | 0.5 | 25 | 2 |
187 | L Fortune | Massasoit | 23 | 21 | 119 | 81 | 139 | 220 | 56 | 2 | 65 | 61 | 1.1 | 49 | 2 |
188 | A Bonny | Hostos | 32 | 8 | 180 | 118 | 168 | 286 | 43 | 0 | 7 | 53 | 0.1 | 7 | 27 |
189 | S Moore | Hocking | 19 | 17 | 484 | 51 | 69 | 120 | 30 | 0 | 17 | 43 | 0.4 | 14 | 10 |
190 | A Mitchell | Joliet | 30 | 25 | 796 | 61 | 93 | 154 | 73 | 1 | 99 | 89 | 1.1 | 45 | 15 |
191 | D Gibson | CT State | 8 | 8 | 8 | 9 | 25 | 34 | 23 | 1 | 7 | 13 | 0.5 | 10 | 7 |
192 | A Adams-Edwards | Borough of Manhattan | 22 | 21 | 424 | 19 | 45 | 64 | 19 | 0 | 44 | 107 | 0.4 | 30 | 1 |
193 | B Reeves | Finger Lakes | 21 | 16 | 475 | 41 | 60 | 101 | 57 | 0 | 40 | 71 | 0.6 | 25 | 2 |
194 | A Matiko | Beaver County | 17 | 17 | 637 | 23 | 79 | 102 | 33 | 1 | 45 | 144 | 0.3 | 27 | 8 |
195 | L Anderson | Central Lakes | 25 | 13 | 451 | 34 | 85 | 119 | 41 | - | 62 | 51 | 1.2 | 31 | 6 |
196 | L Hinkle | Anne Arundel | 25 | 24 | 857 | 57 | 84 | 141 | 43 | 1 | 62 | 164 | 0.4 | 19 | 1 |
197 | K Dingui | UConn Avery Point | 24 | 4 | 97 | 34 | 46 | 80 | 40 | 0 | 33 | 31 | 1.1 | 21 | 0 |
198 | O Winfrey | Minnesota State | 25 | 25 | 836 | 30 | 80 | 110 | 76 | 0 | 64 | 83 | 0.8 | 44 | 3 |
199 | S Nelson | Columbus State | 24 | 22 | 574 | 36 | 46 | 82 | 39 | 0 | 47 | 67 | 0.7 | 43 | 3 |
200 | H Oehlstrom | Lorain County | 29 | 27 | 846 | 40 | 91 | 131 | 45 | 0 | 57 | 78 | 0.7 | 53 | 4 |
201 | R Blakney | Hostos | 31 | 31 | 274 | 23 | 75 | 98 | 76 | 2 | 186 | 100 | 1.9 | 174 | 0 |
202 | M Goad | Elgin | 31 | 31 | 967 | 26 | 90 | 116 | 86 | 2 | 109 | 93 | 1.2 | 82 | 4 |
203 | K Coughlin | RCSJ Gloucester | 24 | 24 | 63 | 38 | 104 | 142 | 40 | - | 55 | 40 | 1.4 | 44 | 11 |
203 | D Gross | Minnesota North College - Rainy River | 25 | 25 | 887 | 46 | 68 | 114 | 59 | - | 206 | 77 | 2.7 | 78 | 3 |
205 | A Sandifer | Anoka-Ramsey | 28 | 28 | 730 | 46 | 87 | 133 | 59 | 0 | 189 | 62 | 3.0 | 80 | 13 |
206 | K Kuczek | Ridgewater | 22 | 22 | 747 | 27 | 80 | 107 | 25 | - | 62 | 134 | 0.5 | 33 | 0 |
207 | L Hardee | Central Lakes | 25 | 3 | 443 | 12 | 64 | 76 | 27 | - | 52 | 23 | 2.3 | 20 | 12 |
208 | T Gunn | Harper | 30 | 28 | 1092 | 21 | 94 | 115 | 46 | 0 | 74 | 143 | 0.5 | 59 | 3 |
209 | A McCrae | Schenectady County | 7 | 7 | 139 | 20 | 22 | 42 | 27 | 4 | 11 | 36 | 0.3 | 12 | 0 |
210 | K Harris-Hood | RCSJ Gloucester | 24 | 4 | 60 | 15 | 47 | 62 | 43 | - | 72 | 77 | 0.9 | 88 | 3 |
211 | A Reid | Massasoit | 23 | 15 | 121 | 48 | 50 | 98 | 38 | - | 76 | 55 | 1.4 | 68 | 4 |
212 | L Devine | Suffolk County | 23 | 23 | 159 | 84 | 172 | 256 | 8 | 0 | 64 | 78 | 0.8 | 17 | 26 |
213 | A Banko | Middlesex College | 27 | 23 | 807 | 44 | 85 | 129 | 50 | - | 62 | 87 | 0.7 | 54 | 5 |
214 | A Barrett | Nassau | 31 | 23 | 215 | 153 | 168 | 321 | 85 | 5 | 36 | 46 | 0.8 | 114 | 9 |
214 | T Forde | Monroe College - Bronx | 31 | 11 | 552 | 36 | 67 | 103 | 51 | - | 31 | 66 | 0.5 | 35 | 8 |
216 | L Johnson | Joliet | 30 | 21 | 619 | 112 | 160 | 272 | 76 | 3 | 26 | 40 | 0.7 | 42 | 46 |
217 | N Vilain | Prince George's | 18 | 12 | 526 | 41 | 44 | 85 | 54 | 3 | 28 | 54 | 0.5 | 21 | 0 |
218 | A Ponder | Rock Valley | 31 | 25 | 835 | 86 | 143 | 229 | 57 | 2 | 36 | 45 | 0.8 | 37 | 18 |
219 | M Schroeder | Minnesota North College - Itasca | 23 | 22 | 755 | 48 | 113 | 161 | 35 | - | 64 | 62 | 1.0 | 35 | 15 |
220 | B Gauthier | North Country | 29 | 23 | 133 | 8 | 40 | 48 | 64 | 0 | 47 | 58 | 0.8 | 30 | 5 |
221 | A Williams | Dallas College - Cedar Valley | 26 | 18 | 62 | 40 | 97 | 137 | 26 | - | 23 | 15 | 1.5 | 25 | 1 |
222 | C Stine | Montgomery County | 24 | 24 | 24 | 46 | 88 | 134 | 32 | - | 21 | 69 | 0.3 | 28 | 1 |
223 | H Jones | Hudson Valley | 26 | 26 | 534 | 27 | 137 | 164 | 52 | - | 52 | 67 | 0.8 | 29 | 16 |
224 | L Malcolm | Borough of Manhattan | 16 | 11 | 267 | 90 | 74 | 164 | 35 | 1 | 15 | 28 | 0.5 | 26 | 5 |
225 | S Wiese | Minnesota North College - Mesabi Range | 24 | 23 | 819 | 31 | 62 | 93 | 46 | - | 73 | 153 | 0.5 | 35 | 2 |
226 | T Gant | Minnesota North College - Rainy River | 23 | 11 | 534 | 81 | 153 | 234 | 85 | 5 | 14 | 39 | 0.4 | 30 | 59 |
227 | M Dowd | RCSJ Gloucester | 24 | 16 | 60 | 33 | 72 | 105 | 46 | 1 | 60 | 80 | 0.8 | 53 | 2 |
228 | M Goerdt | Minnesota North College - Mesabi Range | 24 | 23 | 769 | 51 | 145 | 196 | 36 | - | 37 | 93 | 0.4 | 43 | 19 |
229 | M Ritchie | SUNY Broome | 22 | 5 | 535 | 19 | 36 | 55 | 35 | 1 | 44 | 66 | 0.7 | 36 | 5 |
230 | S Heinrich | Harper | 29 | 29 | 1010 | 28 | 201 | 229 | 57 | 1 | 38 | 138 | 0.3 | 33 | 4 |
231 | Z Wilson | Springfield Tech | 24 | 17 | 24 | 34 | 82 | 116 | 60 | 3 | 21 | 53 | 0.4 | 17 | 6 |
232 | T Sackett | Madison | 26 | 26 | 831 | 47 | 105 | 152 | 28 | 0 | 37 | 76 | 0.5 | 22 | 3 |
233 | L Nieves | Bunker Hill | 20 | 20 | 75 | 22 | 47 | 69 | 30 | 1 | 39 | 53 | 0.7 | 28 | 7 |
234 | K Johnson | Minnesota North College - Itasca | 25 | 25 | 799 | 38 | 87 | 125 | 73 | 1 | 64 | 79 | 0.8 | 73 | 5 |
235 | C Beck | Schenectady County | 9 | 7 | 138 | 40 | 61 | 101 | 33 | 2 | 8 | 20 | 0.4 | 11 | 11 |
236 | M Harewood | Prince George's | 19 | 17 | 562 | 35 | 85 | 120 | 76 | 7 | 45 | 65 | 0.7 | 31 | 7 |
237 | S Kavajecz | Minnesota North College - Hibbing | 32 | 32 | 933 | 46 | 86 | 132 | 50 | 0 | 55 | 39 | 1.4 | 84 | 8 |
238 | H Lieb | Anne Arundel | 24 | 16 | 723 | 58 | 140 | 198 | 62 | 2 | 35 | 68 | 0.5 | 39 | 29 |
238 | J Mushalla | SUNY Broome | 24 | 24 | 819 | 32 | 61 | 93 | 42 | - | 104 | 71 | 1.5 | 37 | 5 |
240 | G Diaz | Queensborough | 18 | 18 | 683 | 11 | 32 | 43 | 31 | 0 | 30 | 70 | 0.4 | 57 | 4 |
240 | E Pohalski | Nassau | 31 | 18 | 213 | 53 | 95 | 148 | 86 | 2 | 67 | 64 | 1.0 | 89 | 1 |
242 | O Pierman | Camden County | 14 | 13 | 208 | 40 | 70 | 110 | 44 | 5 | 15 | 48 | 0.3 | 25 | 9 |
242 | T Sain | Lorain County | 28 | 18 | 694 | 60 | 91 | 151 | 58 | 0 | 30 | 56 | 0.5 | 35 | 3 |
244 | A Bracy | Elgin | 29 | 26 | 979 | 68 | 135 | 203 | 70 | 1 | 35 | 57 | 0.6 | 41 | 50 |
245 | C Allen | Clinton (NY) | 18 | 18 | 89 | 34 | 71 | 105 | 44 | - | 48 | 59 | 0.8 | 18 | 25 |
246 | C Hobson | Suffolk County | 22 | 13 | 110 | 66 | 93 | 159 | 12 | 1 | 5 | 36 | 0.1 | 21 | 10 |
247 | R Brown | Tompkins Cortland | 21 | 21 | 351 | 84 | 119 | 203 | 74 | 7 | 25 | 51 | 0.5 | 23 | 38 |
248 | C Robinson | Herkimer | 17 | 11 | 383 | 26 | 51 | 77 | 55 | 1 | 10 | 56 | 0.2 | 24 | 6 |
249 | S Shorter | Massasoit | 20 | 12 | 102 | 13 | 61 | 74 | 22 | - | 54 | 19 | 2.8 | 68 | 3 |
250 | E Maley | Lorain County | 30 | 21 | 699 | 36 | 54 | 90 | 42 | 0 | 40 | 38 | 1.1 | 32 | 3 |
251 | A Fox | Fond du Lac Tribal & CC | 17 | 17 | 649 | 22 | 67 | 89 | 15 | - | 18 | 123 | 0.1 | 15 | 0 |
252 | W Niaz | DuPage | 27 | 26 | 735 | 77 | 77 | 154 | 88 | 3 | 13 | 92 | 0.1 | 21 | 7 |
252 | A Webb | Clinton (NY) | 18 | 18 | 73 | 7 | 33 | 40 | 20 | - | 18 | 68 | 0.3 | 8 | 0 |
254 | B Wampole | Corning | 23 | 23 | 195 | 49 | 125 | 174 | 65 | 2 | 33 | 77 | 0.4 | 15 | 95 |
255 | A Rusk | Dallas College - Cedar Valley | 25 | 6 | 48 | 6 | 45 | 51 | 21 | - | 20 | 12 | 1.7 | 26 | 1 |
256 | B Krick | Harrisburg Area | 16 | 16 | 289 | 55 | 71 | 126 | 39 | 2 | 26 | 32 | 0.8 | 42 | 0 |
257 | M Isbell | Minnesota North College - Vermilion | 22 | 22 | 756 | 78 | 75 | 153 | 77 | 5 | 31 | 75 | 0.4 | 73 | 4 |
258 | K Krewson | SUNY Broome | 25 | 25 | 769 | 31 | 81 | 112 | 69 | 5 | 34 | 66 | 0.5 | 25 | 56 |
259 | M Cassaro | Northampton | 18 | 4 | 102 | 65 | 104 | 169 | 29 | - | 15 | 42 | 0.4 | 33 | 12 |
260 | M Creal | Joliet | 28 | 1 | 402 | 38 | 40 | 78 | 37 | 1 | 46 | 61 | 0.8 | 55 | 0 |
261 | K Weite | Central Lakes | 27 | 25 | 709 | 83 | 115 | 198 | 34 | - | 100 | 72 | 1.4 | 41 | 5 |
262 | M Hough | Northland | 28 | - | 405 | 80 | 55 | 135 | 39 | - | 14 | 30 | 0.5 | 10 | 5 |
263 | N Davis | Onondaga | 30 | 29 | 151 | 35 | 46 | 81 | 59 | - | 73 | 77 | 0.9 | 63 | 1 |
264 | M Mike | Minnesota West | 27 | 27 | 836 | 31 | 118 | 149 | 73 | 3 | 141 | 116 | 1.2 | 60 | 2 |
265 | K Koerner | Suffolk County | 21 | 11 | 109 | 75 | 85 | 160 | 11 | 1 | 8 | 37 | 0.2 | 7 | 20 |
266 | A Mortenson | Minnesota State | 25 | 12 | 721 | 54 | 110 | 164 | 22 | 0 | 55 | 51 | 1.1 | 37 | 12 |
267 | Q Johnson | Prince George's | 19 | 14 | 577 | 22 | 52 | 74 | 64 | 3 | 15 | 86 | 0.2 | 30 | 0 |
268 | C Gilbertson | Madison | 26 | 26 | 837 | 61 | 110 | 171 | 58 | 0 | 26 | 57 | 0.5 | 28 | 18 |
269 | J Biviano | Northampton | 19 | 15 | 92 | 40 | 49 | 89 | 52 | 3 | 1 | 44 | 0.0 | 11 | 13 |
270 | K Lawver | Western Tech | 27 | 23 | 420 | 62 | 77 | 139 | 38 | 0 | 28 | 41 | 0.7 | 22 | 8 |
271 | T Jones | CT State | 8 | 8 | 8 | 13 | 31 | 44 | 31 | 1 | 40 | 52 | 0.8 | 22 | 5 |
272 | L Schmidtknecht | Western Tech | 21 | 1 | 346 | 25 | 51 | 76 | 25 | 0 | 35 | 27 | 1.3 | 32 | 0 |
273 | K Algarate | Minnesota State | 25 | 23 | 808 | 23 | 88 | 111 | 60 | 0 | 72 | 126 | 0.6 | 50 | 14 |
274 | J Madsen | Dutchess | 11 | 11 | 50 | 18 | 42 | 60 | 1 | - | 4 | 3 | 1.3 | 3 | 3 |
275 | B Williams | Cayuga | 17 | 10 | 107 | 59 | 78 | 137 | 40 | 1 | 20 | 19 | 1.1 | 21 | 20 |
276 | T Kopp | Owens | 33 | 31 | 960 | 58 | 185 | 243 | 95 | 3 | 78 | 72 | 1.1 | 49 | 33 |
277 | B Bradley | Beaver County | 15 | 15 | 489 | 15 | 35 | 50 | 50 | 3 | 27 | 103 | 0.3 | 35 | 4 |
278 | K Guerrero-Gay | Elgin | 32 | 32 | 1188 | 52 | 112 | 164 | 64 | 0 | 75 | 67 | 1.1 | 69 | 4 |
279 | A Bowleg | Philadelphia | 25 | 24 | 729 | 149 | 187 | 336 | 72 | 2 | 12 | 30 | 0.4 | 15 | 92 |
280 | B Petersen | Northampton | 21 | 21 | 146 | 82 | 137 | 219 | 43 | 1 | 27 | 58 | 0.5 | 20 | 32 |
281 | A Howe | Anoka-Ramsey | 19 | 18 | 344 | 31 | 22 | 53 | 29 | 1 | 13 | 12 | 1.1 | 29 | 4 |
282 | C Vogt | Ridgewater | 21 | 14 | 463 | 28 | 74 | 102 | 42 | 1 | 5 | 36 | 0.1 | 6 | 1 |
283 | L Ritchie | DuPage | 25 | 23 | 788 | 40 | 58 | 98 | 79 | 3 | 48 | 121 | 0.4 | 53 | 7 |
284 | B Brazela | Columbia-Greene | 2 | - | 2 | 1 | 2 | 3 | 0 | - | 0 | 3 | 0.0 | 1 | 0 |
285 | A Pannell | Springfield Tech | 26 | 15 | 26 | 73 | 99 | 172 | 47 | 4 | 11 | 20 | 0.6 | 15 | 32 |
286 | A Bauer | Rochester | 22 | 21 | 604 | 60 | 91 | 151 | 33 | 0 | 32 | 52 | 0.6 | 27 | 5 |
287 | M Camara | Monroe College - Bronx | 30 | 28 | 543 | 143 | 175 | 318 | 86 | 3 | 80 | 126 | 0.6 | 71 | 98 |
288 | A Edwards | Corning | 23 | 15 | 151 | 34 | 59 | 93 | 25 | - | 31 | 57 | 0.5 | 17 | 5 |
289 | D Griffith | Brookdale | 24 | 21 | 146 | 20 | 109 | 129 | 60 | 1 | 23 | 32 | 0.7 | 42 | 30 |
290 | A Catanzaro | Brookdale | 26 | 20 | 154 | 20 | 171 | 191 | 46 | 1 | 32 | 52 | 0.6 | 29 | 22 |
291 | D Schaw | RCSJ Gloucester | 24 | 24 | 54 | 70 | 110 | 180 | 56 | 3 | 23 | 39 | 0.6 | 18 | 22 |
292 | L Velazquez | Owens | 34 | 12 | 774 | 19 | 92 | 111 | 65 | 1 | 57 | 111 | 0.5 | 22 | 0 |
293 | O Bernardini | Harrisburg Area | 15 | 14 | 249 | 10 | 36 | 46 | 26 | - | 10 | 40 | 0.3 | 6 | 0 |
294 | K Flanagan | Jefferson (NY) | 25 | 14 | 513 | 22 | 56 | 78 | 60 | 1 | 37 | 62 | 0.6 | 35 | 4 |
295 | R Gabel | Western Tech | 26 | 1 | 432 | 73 | 99 | 172 | 50 | 0 | 33 | 41 | 0.8 | 34 | 16 |
296 | S Paul | Borough of Manhattan | 18 | 11 | 232 | 22 | 35 | 57 | 27 | 1 | 33 | 76 | 0.4 | 21 | 0 |
297 | M Harris | Joliet | 30 | 17 | 522 | 21 | 38 | 59 | 47 | 0 | 41 | 47 | 0.9 | 21 | 7 |
297 | T Hess | Lehigh Carbon | 16 | 16 | 589 | 53 | 92 | 145 | 47 | 1 | 7 | 47 | 0.1 | 29 | 6 |
297 | A Jones | Monroe College - Bronx | 27 | 12 | 374 | 19 | 29 | 48 | 60 | 3 | 30 | 81 | 0.4 | 21 | 3 |
297 | E Mitchell | Finger Lakes | 20 | 6 | 291 | 17 | 24 | 41 | 17 | 0 | 10 | 35 | 0.3 | 31 | 1 |
301 | S Wagstaff | Lehigh Carbon | 17 | 16 | 597 | 30 | 82 | 112 | 23 | - | 31 | 74 | 0.4 | 13 | 3 |
302 | A Owens | Rochester | 23 | 1 | 384 | 21 | 39 | 60 | 36 | 0 | 30 | 57 | 0.5 | 28 | 19 |
303 | K McFarline | Schenectady County | 6 | 4 | 114 | 11 | 16 | 27 | 15 | - | 16 | 28 | 0.6 | 5 | 12 |
304 | K Knutson | Minnesota North College - Mesabi Range | 23 | 1 | 515 | 24 | 56 | 80 | 19 | - | 14 | 37 | 0.4 | 11 | 10 |
305 | M Boser | Lake Superior | 22 | 19 | 535 | 58 | 83 | 141 | 65 | 4 | 34 | 41 | 0.8 | 22 | 4 |
306 | B Peters | Luzerne County | 23 | 23 | 23 | 40 | 161 | 201 | 54 | 2 | 41 | 71 | 0.6 | 20 | 10 |
307 | K Tyler | Joliet | 26 | 8 | 455 | 49 | 46 | 95 | 57 | 0 | 78 | 59 | 1.3 | 42 | 1 |
308 | D Lemus | Nassau | 22 | 8 | 122 | 81 | 110 | 191 | 52 | 1 | 22 | 43 | 0.5 | 70 | 3 |
309 | S Harris | Rock Valley | 25 | 6 | 382 | 24 | 46 | 70 | 27 | 0 | 12 | 30 | 0.4 | 20 | 8 |
310 | M Dugas | UConn Avery Point | 28 | 21 | 93 | 122 | 89 | 211 | 45 | 0 | 17 | 42 | 0.4 | 27 | 0 |
311 | L Russo | Passaic County | 27 | 13 | 712 | 39 | 48 | 87 | 51 | 1 | 23 | 43 | 0.5 | 25 | 6 |
312 | B Imlah | DuPage | 27 | 27 | 774 | 30 | 125 | 155 | 58 | 0 | 20 | 73 | 0.3 | 24 | 9 |
313 | N Verley | Borough of Manhattan | 20 | 18 | 342 | 39 | 85 | 124 | 56 | 2 | 35 | 65 | 0.5 | 25 | 17 |
314 | K Mammenga | Central Lakes | 27 | 20 | 562 | 15 | 96 | 111 | 48 | - | 33 | 37 | 0.9 | 18 | 22 |
315 | B McKinney | Fulton-Montgomery | 19 | 17 | 60 | 102 | 85 | 187 | 30 | 3 | 10 | 27 | 0.4 | 12 | 6 |
316 | S Mili | Quinsigamond | 7 | 5 | 142 | 0 | 0 | 0 | 0 | - | 0 | 0 | - | 0 | 0 |
317 | C Connolly | Onondaga | 30 | - | 105 | 17 | 43 | 60 | 30 | - | 39 | 33 | 1.2 | 31 | 3 |
317 | A Eddington | Finger Lakes | 16 | 6 | 270 | 30 | 32 | 62 | 34 | 1 | 8 | 49 | 0.2 | 15 | 2 |
317 | S Frederick | Ridgewater | 22 | 21 | 675 | 24 | 87 | 111 | 64 | 4 | 46 | 81 | 0.6 | 18 | 5 |
317 | A Moe | Northland | 28 | 21 | 658 | 12 | 60 | 72 | 23 | - | 50 | 47 | 1.1 | 26 | 1 |
321 | J Halvorson | Northland | 28 | 26 | 702 | 11 | 50 | 61 | 86 | 3 | 65 | 57 | 1.1 | 42 | 2 |
322 | A Crimi | Dutchess | 11 | 11 | 48 | 23 | 63 | 86 | 5 | 1 | 12 | 5 | 2.4 | 5 | 1 |
323 | A Hughes | Minnesota North College - Vermilion | 21 | 19 | 776 | 44 | 114 | 158 | 55 | 3 | 34 | 40 | 0.8 | 20 | 17 |
323 | A Neal | Rock Valley | 28 | 2 | 608 | 70 | 87 | 157 | 45 | 0 | 101 | 71 | 1.4 | 78 | 3 |
325 | A Lambert | Clinton (NY) | 17 | 17 | 87 | 21 | 55 | 76 | 25 | - | 51 | 54 | 0.9 | 26 | 7 |
326 | M Gabel | Western Tech | 28 | 1 | 429 | 46 | 50 | 96 | 62 | 1 | 48 | 53 | 0.9 | 40 | 13 |
327 | Q January | Columbus State | 24 | 3 | 340 | 8 | 46 | 54 | 45 | 3 | 32 | 66 | 0.5 | 23 | 1 |
327 | S Valdez | Bronx | 9 | 7 | 306 | 17 | 23 | 40 | 9 | 0 | 13 | 53 | 0.2 | 7 | 0 |
327 | K Wucher | Onondaga | 30 | 17 | 132 | 120 | 152 | 272 | 65 | - | 30 | 32 | 0.9 | 51 | 2 |
330 | K Martinez | Dutchess | 11 | 11 | 43 | 24 | 43 | 67 | 5 | 1 | 13 | 4 | 3.3 | 10 | 2 |
331 | A Jackson | Suffolk County | 23 | 20 | 145 | 4 | 32 | 36 | 12 | 0 | 56 | 120 | 0.5 | 52 | 0 |
332 | M Chop | Prince George's | 16 | 3 | 288 | 22 | 38 | 60 | 27 | - | 9 | 56 | 0.2 | 19 | 0 |
332 | M Cummins | Columbus State | 16 | 16 | 348 | 43 | 65 | 108 | 49 | 1 | 24 | 24 | 1.0 | 19 | 10 |
334 | D Yates | Onondaga | 24 | 15 | 98 | 38 | 72 | 110 | 55 | - | 26 | 38 | 0.7 | 19 | 24 |
335 | C Nickens | Anoka-Ramsey | 18 | 6 | 251 | 28 | 21 | 49 | 37 | 0 | 10 | 19 | 0.5 | 32 | 12 |
336 | T Christian | Columbus State | 22 | 5 | 361 | 22 | 13 | 35 | 32 | 0 | 24 | 30 | 0.8 | 19 | 3 |
337 | C Sorenson-Anderson | Fond du Lac Tribal & CC | 16 | 16 | 571 | 16 | 38 | 54 | 45 | 3 | 12 | 87 | 0.1 | 16 | 0 |
338 | A Whitehead | Tompkins Cortland | 21 | 20 | 258 | 47 | 78 | 125 | 63 | 2 | 14 | 56 | 0.3 | 16 | 14 |
339 | A Ellis | DuPage | 26 | 22 | 673 | 55 | 97 | 152 | 68 | 0 | 29 | 97 | 0.3 | 57 | 4 |
340 | J Meaney | Schenectady County | 6 | 4 | 54 | 3 | 5 | 8 | 6 | - | 3 | 13 | 0.2 | 2 | 0 |
341 | M Miles | Columbus State | 24 | 4 | 301 | 10 | 35 | 45 | 29 | 0 | 22 | 39 | 0.6 | 14 | 0 |
342 | J Naeye | Finger Lakes | 23 | 18 | 586 | 32 | 103 | 135 | 61 | 0 | 68 | 110 | 0.6 | 61 | 7 |
342 | J Rivera | Springfield Tech | 23 | 7 | 23 | 17 | 31 | 48 | 38 | 1 | 18 | 29 | 0.6 | 26 | 4 |
344 | I Andrews | Prince George's | 15 | 13 | 439 | 39 | 70 | 109 | 51 | - | 2 | 31 | 0.1 | 12 | 5 |
345 | L Murphy | Western Tech | 28 | 25 | 490 | 17 | 48 | 65 | 31 | 0 | 55 | 65 | 0.8 | 39 | 3 |
346 | K Moore | Dallas College - Cedar Valley | 26 | 15 | 37 | 37 | 94 | 131 | 37 | - | 8 | 13 | 0.6 | 7 | 1 |
347 | S Schimpp | Central Lakes | 26 | 13 | 530 | 30 | 49 | 79 | 62 | 3 | 71 | 75 | 0.9 | 44 | 4 |
348 | M Hellerud | Rochester | 23 | 2 | 393 | 25 | 52 | 77 | 61 | 1 | 15 | 36 | 0.4 | 18 | 7 |
349 | J Poplawski | Brookdale | 25 | 8 | 97 | 9 | 112 | 121 | 51 | 2 | 21 | 32 | 0.7 | 16 | 5 |
350 | A Artice | Lorain County | 28 | 17 | 541 | 35 | 71 | 106 | 62 | 0 | 17 | 34 | 0.5 | 25 | 18 |
350 | C Moger | Western Tech | 28 | 27 | 545 | 35 | 102 | 137 | 48 | 1 | 62 | 55 | 1.1 | 85 | 3 |
352 | L Hendrickson | Central Lakes | 27 | 3 | 378 | 46 | 64 | 110 | 62 | - | 28 | 32 | 0.9 | 18 | 9 |
353 | S Lokken | Minnesota North College - Hibbing | 32 | 9 | 698 | 55 | 61 | 116 | 54 | 1 | 70 | 52 | 1.3 | 35 | 6 |
354 | A Johnson | Monroe College - Bronx | 31 | 31 | 474 | 50 | 93 | 143 | 46 | 2 | 36 | 131 | 0.3 | 26 | 16 |
355 | A Kante | Bronx | 8 | 5 | 236 | 38 | 57 | 95 | 21 | 1 | 5 | 22 | 0.2 | 6 | 0 |
356 | D Dennis-Humphrey | Borough of Manhattan | 15 | 12 | 258 | 40 | 77 | 117 | 46 | 2 | 11 | 42 | 0.3 | 10 | 80 |
356 | K Sanchez | Hostos | 30 | 1 | 150 | 12 | 45 | 57 | 34 | 0 | 46 | 41 | 1.1 | 47 | 8 |
358 | A Asencio | Columbia-Greene | 2 | 2 | 2 | 0 | 4 | 4 | 0 | - | 4 | 2 | 2.0 | 3 | 0 |
358 | B Haight | Rock Valley | 24 | 1 | 335 | 8 | 45 | 53 | 29 | 0 | 12 | 40 | 0.3 | 11 | 0 |
358 | B Sledge | Cayuga | 22 | 14 | 181 | 15 | 49 | 64 | 52 | 3 | 23 | 55 | 0.4 | 15 | 4 |
361 | J Jimenez | Monroe College - Bronx | 31 | 16 | 406 | 34 | 49 | 83 | 48 | - | 48 | 94 | 0.5 | 61 | 3 |
362 | K Southwick | Clinton (NY) | 17 | 14 | 79 | 12 | 38 | 50 | 24 | - | 34 | 64 | 0.5 | 22 | 4 |
363 | L Schroeder | Western Tech | 28 | 27 | 448 | 12 | 40 | 52 | 22 | 0 | 23 | 30 | 0.8 | 19 | 6 |
364 | H Delbury | Sussex County | 26 | 26 | 331 | 55 | 185 | 240 | 47 | - | 48 | 30 | 1.6 | 19 | 44 |
364 | H Unke | Minnesota West | 26 | 1 | 528 | 4 | 46 | 50 | 32 | - | 47 | 68 | 0.7 | 16 | 3 |
366 | J Perea | North Country | 25 | 20 | 123 | 39 | 63 | 102 | 47 | 1 | 72 | 41 | 1.8 | 24 | 9 |
367 | D Norris | Joliet | 30 | 21 | 402 | 80 | 77 | 157 | 36 | 1 | 23 | 20 | 1.1 | 30 | 10 |
368 | J Heitzenrater | Butler County | 22 | 22 | 705 | 38 | 127 | 165 | 59 | 2 | 37 | 58 | 0.6 | 29 | 45 |
369 | K Kupras | Kingsborough | 14 | 14 | 133 | 25 | 94 | 119 | 44 | 2 | 13 | 42 | 0.3 | 38 | 7 |
370 | M Parker | North Country | 25 | - | 126 | 32 | 42 | 74 | 80 | 3 | 52 | 69 | 0.8 | 44 | 7 |
371 | S Tantleff | Sussex County | 19 | 17 | 205 | 34 | 70 | 104 | 48 | 2 | 36 | 34 | 1.1 | 28 | 5 |
372 | C Engman | Quinsigamond | 8 | 8 | 230 | 5 | 3 | 8 | 1 | - | 0 | 0 | - | 0 | 2 |
372 | B Harakal | Lehigh Carbon | 16 | 12 | 561 | 19 | 57 | 76 | 21 | - | 23 | 97 | 0.2 | 17 | 0 |
374 | H Lewis | North Country | 30 | 14 | 99 | 22 | 60 | 82 | 28 | 0 | 41 | 45 | 0.9 | 17 | 1 |
375 | G Agosto | Middlesex College | 26 | 14 | 719 | 42 | 112 | 154 | 60 | 3 | 34 | 78 | 0.4 | 14 | 1 |
376 | M Besaw | Jefferson (NY) | 21 | 14 | 301 | 10 | 26 | 36 | 29 | - | 18 | 32 | 0.6 | 18 | 1 |
377 | S Pereira | Springfield Tech | 22 | 13 | 22 | 9 | 31 | 40 | 17 | - | 25 | 18 | 1.4 | 18 | 2 |
378 | H Sleeth | Onondaga | 30 | 27 | 149 | 26 | 62 | 88 | 61 | 1 | 140 | 97 | 1.4 | 88 | 14 |
379 | I Santana | Atlantic Cape | 14 | 14 | 14 | 14 | 54 | 68 | 29 | - | 3 | 42 | 0.1 | 11 | 1 |
380 | S McCombs | Herkimer | 18 | 14 | 422 | 39 | 40 | 79 | 54 | 2 | 13 | 39 | 0.3 | 29 | 5 |
380 | N McIntyre | CT State | 8 | 8 | 8 | 18 | 38 | 56 | 21 | 1 | 4 | 17 | 0.2 | 3 | 5 |
380 | C Querrard | Columbia-Greene | 2 | - | 2 | 1 | 4 | 5 | 0 | - | 1 | 1 | 1.0 | 2 | 1 |
380 | C Stanbery | Anne Arundel | 24 | 7 | 566 | 29 | 24 | 53 | 33 | 0 | 21 | 51 | 0.4 | 37 | 1 |
384 | K Rahier | Central Lakes | 24 | 1 | 268 | 17 | 31 | 48 | 22 | - | 21 | 22 | 1.0 | 19 | 5 |
385 | B Harrington | Jefferson (NY) | 26 | - | 373 | 45 | 76 | 121 | 39 | - | 7 | 19 | 0.4 | 12 | 16 |
386 | S Best | Joliet | 22 | 9 | 318 | 13 | 20 | 33 | 11 | 0 | 16 | 29 | 0.6 | 11 | 1 |
387 | L Braen | Ocean County | 21 | 21 | 961 | 33 | 46 | 79 | 10 | - | 41 | 129 | 0.3 | 12 | 0 |
388 | B Williams | Monroe College - Bronx | 31 | 22 | 404 | 41 | 93 | 134 | 79 | 2 | 12 | 86 | 0.1 | 25 | 13 |
389 | A Barry | Monroe College - Bronx | 23 | 7 | 253 | 16 | 62 | 78 | 42 | - | 12 | 54 | 0.2 | 13 | 0 |
390 | A Rosenberg | Minnesota West | 26 | 2 | 438 | 36 | 54 | 90 | 37 | - | 12 | 29 | 0.4 | 8 | 7 |
391 | C Hamberger | Camden County | 14 | 8 | 153 | 19 | 41 | 60 | 37 | 2 | 7 | 51 | 0.1 | 10 | 0 |
392 | M Stokes | St. Cloud Tech | 22 | 22 | 666 | 47 | 105 | 152 | 82 | 6 | 11 | 51 | 0.2 | 19 | 26 |
393 | K O'Shaughnessy | Tompkins Cortland | 20 | 1 | 225 | 39 | 80 | 119 | 53 | 1 | 7 | 46 | 0.2 | 6 | 20 |
394 | H Dietsch | Northland | 28 | 12 | 653 | 30 | 103 | 133 | 26 | - | 84 | 49 | 1.7 | 29 | 3 |
394 | A Dorcy | Butler County | 14 | 12 | 334 | 10 | 22 | 32 | 19 | - | 10 | 15 | 0.7 | 9 | 2 |
396 | A Poirier | North Country | 30 | 3 | 60 | 30 | 49 | 79 | 22 | 0 | 51 | 35 | 1.5 | 35 | 4 |
397 | L Maryanovaky | Kingsborough | 19 | 14 | 97 | 11 | 49 | 60 | 26 | - | 8 | 44 | 0.2 | 20 | 1 |
398 | B Ramos-Henkel | Passaic County | 28 | 25 | 947 | 46 | 53 | 99 | 51 | 0 | 20 | 22 | 0.9 | 22 | 11 |
399 | N Montgomery | Anoka-Ramsey | 28 | 2 | 382 | 11 | 57 | 68 | 54 | 0 | 64 | 59 | 1.1 | 53 | 2 |
400 | K Wangen | Rochester | 23 | 23 | 568 | 12 | 72 | 84 | 80 | 1 | 49 | 50 | 1.0 | 47 | 2 |
401 | D Cianni | Nassau | 30 | 3 | 117 | 10 | 35 | 45 | 28 | - | 11 | 13 | 0.8 | 27 | 0 |
402 | K Ojo | Joliet | 28 | 1 | 237 | 51 | 60 | 111 | 39 | 0 | 5 | 16 | 0.3 | 20 | 4 |
403 | G Howard | Herkimer | 18 | 15 | 481 | 46 | 70 | 116 | 45 | 3 | 15 | 32 | 0.5 | 14 | 1 |
403 | G Thomas | Prince George's | 18 | 16 | 450 | 50 | 42 | 92 | 53 | 3 | 6 | 35 | 0.2 | 20 | 15 |
405 | D Gomes | Bunker Hill | 17 | 3 | 36 | 15 | 19 | 34 | 18 | - | 14 | 29 | 0.5 | 25 | 0 |
406 | L Vargas | Bergen | 24 | 24 | 830 | 15 | 85 | 100 | 43 | 1 | 41 | 32 | 1.3 | 33 | 6 |
407 | M Agosto | Middlesex College | 21 | 16 | 502 | 23 | 50 | 73 | 43 | 1 | 14 | 57 | 0.2 | 14 | 2 |
408 | M Marple | Lake Superior | 16 | 1 | 253 | 22 | 31 | 53 | 16 | - | 15 | 12 | 1.3 | 11 | 1 |
409 | L Worden | Rochester | 23 | 1 | 290 | 14 | 18 | 32 | 12 | 0 | 23 | 34 | 0.7 | 12 | 0 |
410 | S Garced | Hostos | 24 | - | 108 | 13 | 28 | 41 | 22 | 0 | 14 | 30 | 0.5 | 11 | 0 |
411 | C Sellman | Minnesota North College - Mesabi Range | 15 | - | 176 | 34 | 32 | 66 | 26 | - | 5 | 9 | 0.6 | 3 | 5 |
412 | T Johnson | Minnesota North College - Mesabi Range | 21 | 8 | 368 | 24 | 41 | 65 | 62 | - | 11 | 36 | 0.3 | 5 | 3 |
413 | M Craig | Anoka-Ramsey | 25 | 2 | 271 | 32 | 52 | 84 | 18 | 0 | 6 | 17 | 0.4 | 4 | 5 |
414 | K Copper | Dallas College - Cedar Valley | 19 | 2 | 39 | 4 | 22 | 26 | 13 | - | 13 | 4 | 3.3 | 21 | 0 |
414 | M Doutsis | Hudson Valley | 25 | 4 | 305 | 32 | 49 | 81 | 29 | - | 15 | 9 | 1.7 | 16 | 1 |
414 | Y Gant | Montgomery County | 23 | 23 | 23 | 51 | 94 | 145 | 62 | 4 | 28 | 32 | 0.9 | 27 | 11 |
414 | A Grady | Finger Lakes | 22 | 9 | 320 | 23 | 64 | 87 | 56 | 3 | 12 | 53 | 0.2 | 37 | 1 |
414 | C Vezies | Anoka-Ramsey | 27 | 2 | 333 | 33 | 26 | 59 | 37 | 0 | 17 | 22 | 0.8 | 19 | 3 |
419 | T Duffy | North Country | 25 | - | 34 | 8 | 17 | 25 | 25 | 0 | 16 | 18 | 0.9 | 10 | 1 |
420 | B Greene | Northland | 21 | 1 | 368 | 22 | 40 | 62 | 27 | - | 27 | 27 | 1.0 | 18 | 3 |
421 | B Gallagher | Lorain County | 30 | 8 | 495 | 34 | 33 | 67 | 39 | 0 | 19 | 52 | 0.4 | 20 | 1 |
422 | L Brown | Suffolk County | 21 | 4 | 94 | 16 | 26 | 42 | 4 | 0 | 37 | 47 | 0.8 | 21 | 0 |
423 | K Fitzgerald | Anoka-Ramsey | 27 | 13 | 462 | 11 | 49 | 60 | 28 | 0 | 34 | 21 | 1.6 | 35 | 2 |
424 | S Pourier | Minnesota West | 25 | - | 335 | 10 | 39 | 49 | 28 | - | 6 | 25 | 0.2 | 14 | 4 |
425 | K Nee | Bunker Hill | 18 | 1 | 47 | 29 | 56 | 85 | 15 | - | 3 | 15 | 0.2 | 11 | 3 |
426 | M Mau | Western Tech | 28 | 1 | 316 | 26 | 26 | 52 | 47 | 0 | 22 | 21 | 1.0 | 27 | 2 |
427 | K Artibee | Corning | 22 | 1 | 88 | 44 | 44 | 88 | 25 | 1 | 7 | 45 | 0.2 | 6 | 6 |
427 | S John | Hostos | 33 | 15 | 242 | 11 | 26 | 37 | 72 | 2 | 54 | 69 | 0.8 | 55 | 2 |
429 | D Koch | Western Tech | 28 | 4 | 348 | 27 | 49 | 76 | 40 | 1 | 22 | 33 | 0.7 | 18 | 2 |
430 | M Maloney | Finger Lakes | 23 | 9 | 447 | 27 | 89 | 116 | 29 | 0 | 33 | 41 | 0.8 | 19 | 15 |
431 | A Williams | Lorain County | 22 | - | 228 | 11 | 15 | 26 | 27 | 0 | 4 | 12 | 0.3 | 12 | 0 |
432 | P Gough | North Country | 20 | - | 26 | 7 | 23 | 30 | 6 | 0 | 6 | 8 | 0.8 | 3 | 1 |
433 | D Pyle | Beaver County | 15 | 15 | 491 | 32 | 60 | 92 | 49 | 2 | 4 | 18 | 0.2 | 6 | 3 |
434 | J Humphrey | Onondaga | 20 | 1 | 40 | 11 | 12 | 23 | 2 | - | 10 | 22 | 0.5 | 7 | 3 |
435 | K Woolfolk | SUNY Broome | 22 | 10 | 462 | 32 | 72 | 104 | 30 | - | 13 | 22 | 0.6 | 22 | 4 |
436 | S Patterson | Dallas College - Cedar Valley | 26 | 5 | 50 | 33 | 92 | 125 | 44 | 1 | 14 | 15 | 0.9 | 12 | 1 |
437 | R Wucher | Onondaga | 21 | 1 | 63 | 25 | 45 | 70 | 28 | - | 10 | 12 | 0.8 | 5 | 13 |
438 | J Anderson | Rochester | 17 | - | 136 | 15 | 20 | 35 | 21 | 0 | 2 | 12 | 0.2 | 5 | 0 |
439 | S Aboagye | Bronx | 12 | 5 | 333 | 15 | 22 | 37 | 20 | 0 | 4 | 36 | 0.1 | 10 | 0 |
439 | K Holland | Lehigh Carbon | 12 | 8 | 350 | 27 | 54 | 81 | 15 | - | 7 | 34 | 0.2 | 4 | 0 |
441 | B Brandon | Northland | 17 | 1 | 154 | 10 | 26 | 36 | 14 | - | 12 | 14 | 0.9 | 8 | 1 |
442 | S Dopp | Fulton-Montgomery | 20 | 12 | 78 | 34 | 43 | 77 | 39 | 3 | 7 | 18 | 0.4 | 11 | 7 |
443 | C Weaver | Herkimer | 17 | 2 | 227 | 24 | 34 | 58 | 22 | 1 | 8 | 9 | 0.9 | 10 | 2 |
444 | N Kelley | Dallas College - Cedar Valley | 26 | 6 | 45 | 16 | 39 | 55 | 33 | - | 13 | 11 | 1.2 | 17 | 2 |
445 | R Brennan | Joliet | 21 | 0 | 138 | 3 | 27 | 30 | 16 | - | 4 | 13 | 0.3 | 3 | 1 |
445 | M Dano | Onondaga | 21 | - | 42 | 18 | 17 | 35 | 9 | - | 17 | 8 | 2.1 | 10 | 2 |
447 | M Mann | Minnesota North College - Hibbing | 27 | - | 264 | 9 | 27 | 36 | 23 | 0 | 13 | 19 | 0.7 | 5 | 2 |
448 | D Mjolsness | Lake Superior | 22 | 7 | 420 | 19 | 51 | 70 | 26 | - | 22 | 30 | 0.7 | 11 | 2 |
449 | T Day | Madison | 24 | 1 | 294 | 3 | 21 | 24 | 21 | 0 | 19 | 44 | 0.4 | 8 | 0 |
450 | D Minor | Western Tech | 28 | 2 | 255 | 13 | 50 | 63 | 18 | 0 | 13 | 32 | 0.4 | 11 | 0 |
451 | K Gonseth | Jefferson (NY) | 25 | 1 | 369 | 28 | 56 | 84 | 35 | - | 52 | 36 | 1.4 | 22 | 1 |
452 | S Clapman | Ocean County | 19 | 18 | 587 | 31 | 76 | 107 | 63 | 3 | 13 | 42 | 0.3 | 44 | 6 |
453 | R Judd | Herkimer | 17 | - | 163 | 3 | 21 | 24 | 11 | - | 7 | 16 | 0.4 | 7 | 1 |
454 | D Collins | Springfield Tech | 17 | 4 | 17 | 17 | 38 | 55 | 12 | - | 7 | 9 | 0.8 | 6 | 7 |
455 | C Moore | Clinton (NY) | 18 | 5 | 76 | 19 | 33 | 52 | 22 | - | 20 | 30 | 0.7 | 11 | 1 |
456 | M Bobinski | Harper | 29 | 21 | 661 | 31 | 90 | 121 | 33 | 0 | 20 | 62 | 0.3 | 38 | 1 |
456 | H Martino | Harper | 29 | 24 | 750 | 23 | 83 | 106 | 32 | 0 | 45 | 78 | 0.6 | 17 | 4 |
458 | A Hale | Prince George's | 12 | 2 | 167 | 31 | 28 | 59 | 24 | 3 | 4 | 18 | 0.2 | 7 | 5 |
459 | M Constable | Tompkins Cortland | 20 | 1 | 150 | 11 | 26 | 37 | 11 | - | 7 | 24 | 0.3 | 3 | 1 |
460 | A Culhane | Bergen | 21 | 5 | 498 | 46 | 79 | 125 | 48 | 3 | 17 | 40 | 0.4 | 23 | 4 |
460 | K Houmard | Columbus State | 22 | 4 | 232 | 10 | 56 | 66 | 29 | 0 | 19 | 17 | 1.1 | 10 | 9 |
460 | K Joseph | Bunker Hill | 20 | 20 | 56 | 69 | 83 | 152 | 53 | 4 | 22 | 38 | 0.6 | 20 | 4 |
463 | M Roach | North Country | 27 | - | 39 | 27 | 52 | 79 | 23 | 0 | 28 | 25 | 1.1 | 11 | 3 |
464 | A Chapel | Rochester | 22 | - | 172 | 13 | 22 | 35 | 21 | 0 | 7 | 22 | 0.3 | 8 | 0 |
465 | A Graham | Borough of Manhattan | 20 | 13 | 218 | 25 | 33 | 58 | 39 | 0 | 16 | 58 | 0.3 | 30 | 2 |
466 | K Collado | Middlesex College | 26 | 12 | 684 | 57 | 46 | 103 | 30 | - | 59 | 58 | 1.0 | 12 | 0 |
467 | M Anderson | Anoka-Ramsey | 24 | 1 | 290 | 14 | 20 | 34 | 35 | 0 | 10 | 7 | 1.4 | 17 | 2 |
468 | A Cart | Anoka-Ramsey | 17 | 1 | 136 | 20 | 13 | 33 | 12 | - | 10 | 11 | 0.9 | 19 | 2 |
469 | A Nelson | Minnesota State | 16 | - | 197 | 5 | 17 | 22 | 10 | - | 7 | 11 | 0.6 | 10 | 1 |
470 | L Rolax | Camden County | 15 | 9 | 221 | 12 | 60 | 72 | 35 | 1 | 28 | 66 | 0.4 | 17 | 1 |
471 | K Warner | Fond du Lac Tribal & CC | 17 | 15 | 593 | 19 | 60 | 79 | 25 | 1 | 5 | 27 | 0.2 | 8 | 1 |
472 | J Kulinski | Ocean County | 19 | 15 | 567 | 82 | 78 | 160 | 40 | - | 17 | 55 | 0.3 | 23 | 1 |
473 | K Nortz | Jefferson (NY) | 26 | - | 407 | 25 | 40 | 65 | 44 | - | 39 | 25 | 1.6 | 41 | 4 |
474 | R Middleton | North Country | 22 | - | 22 | 5 | 16 | 21 | 10 | 0 | 1 | 9 | 0.1 | 4 | 1 |
475 | H Steer | Northland | 18 | - | 198 | 9 | 28 | 37 | 18 | - | 13 | 6 | 2.2 | 0 | 2 |
476 | C Raymond | SUNY Broome | 21 | 2 | 259 | 10 | 36 | 46 | 12 | - | 7 | 18 | 0.4 | 4 | 0 |
477 | C Kerlin | Harper | 19 | 10 | 415 | 4 | 38 | 42 | 38 | 0 | 11 | 64 | 0.2 | 9 | 1 |
477 | A Rimpila | Minnesota State | 19 | - | 210 | 9 | 30 | 39 | 12 | 0 | 7 | 25 | 0.3 | 6 | 1 |
479 | S Deragon | Minnesota North College - Hibbing | 24 | - | 177 | 9 | 17 | 26 | 23 | 0 | 7 | 10 | 0.7 | 6 | 1 |
480 | C Keleher | DuPage | 26 | 11 | 687 | 24 | 77 | 101 | 25 | - | 25 | 53 | 0.5 | 27 | 2 |
481 | A Calabrese | Cayuga | 21 | 5 | 159 | 9 | 21 | 30 | 23 | - | 15 | 13 | 1.2 | 11 | 1 |
482 | K Waytashek | Central Lakes | 17 | 1 | 144 | 5 | 25 | 30 | 14 | - | 11 | 3 | 3.7 | 5 | 1 |
483 | A Zinnerman | Elgin | 24 | 1 | 214 | 8 | 21 | 29 | 9 | 0 | 14 | 21 | 0.7 | 11 | 0 |
484 | J Webster | Northampton | 18 | 7 | 50 | 13 | 15 | 28 | 22 | - | 15 | 69 | 0.2 | 9 | 0 |
485 | V Vasquez | UConn Avery Point | 26 | 1 | 47 | 35 | 39 | 74 | 28 | 2 | 4 | 13 | 0.3 | 11 | 4 |
485 | C Wright | Hudson Valley | 26 | 13 | 430 | 33 | 76 | 109 | 56 | 2 | 17 | 32 | 0.5 | 24 | 6 |
487 | H Misercola | Jefferson (NY) | 17 | - | 118 | 7 | 20 | 27 | 11 | - | 4 | 5 | 0.8 | 11 | 5 |
488 | B Goncalves | Bunker Hill | 15 | - | 18 | 15 | 24 | 39 | 11 | - | 2 | 11 | 0.2 | 5 | 4 |
489 | L Quadri | Elgin | 27 | 6 | 283 | 12 | 42 | 54 | 30 | 1 | 6 | 13 | 0.5 | 8 | 5 |
490 | H Thomas-Speigle | Columbus State | 23 | 13 | 233 | 22 | 30 | 52 | 19 | 0 | 17 | 25 | 0.7 | 6 | 3 |
491 | G Brown | Fulton-Montgomery | 20 | 3 | 45 | 6 | 23 | 29 | 14 | - | 4 | 16 | 0.3 | 4 | 0 |
492 | S Carpenter | Beaver County | 15 | 4 | 350 | 17 | 17 | 34 | 30 | 3 | 2 | 39 | 0.1 | 16 | 0 |
493 | D Jackson | DuPage | 26 | 2 | 427 | 22 | 27 | 49 | 32 | 0 | 13 | 63 | 0.2 | 20 | 0 |
494 | K Rustad | Lake Superior | 22 | 1 | 284 | 16 | 19 | 35 | 22 | - | 4 | 17 | 0.2 | 8 | 2 |
495 | D Burke | Harrisburg Area | 16 | 16 | 276 | 6 | 24 | 30 | 29 | - | 0 | 27 | 0.0 | 5 | 0 |
496 | N DeStefano | Suffolk County | 18 | - | 32 | 16 | 23 | 39 | 8 | 0 | 1 | 12 | 0.1 | 1 | 0 |
496 | N Diaz | Onondaga | 18 | - | 25 | 2 | 8 | 10 | 5 | - | 3 | 6 | 0.5 | 1 | 0 |
498 | E Ripley | Tompkins Cortland | 19 | 1 | 101 | 4 | 20 | 24 | 16 | - | 7 | 28 | 0.3 | 8 | 2 |
499 | J Agbelessessi | St. Cloud Tech | 18 | 2 | 424 | 12 | 24 | 36 | 21 | 0 | 9 | 26 | 0.3 | 15 | 1 |
500 | C Strohl | Minnesota North College - Itasca | 25 | - | 293 | 20 | 30 | 50 | 22 | - | 11 | 15 | 0.7 | 4 | 9 |