Name | gp | gs | min | off | def | reb | pf | dq | ast | to | a/to | stl | blk | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
V Abbondola | Suffolk County | 24 | 24 | 56 | 9 | 70 | 79 | 54 | 1 | 69 | 56 | 1.2 | 30 | 0 |
M Abdillahi | Minnesota North College - Hibbing | 24 | - | 252 | 32 | 52 | 84 | 35 | 1 | 6 | 39 | 0.2 | 6 | 8 |
K Abosi | St. Cloud Tech | 15 | 6 | 232 | 20 | 25 | 45 | 33 | 0 | 16 | 17 | 0.9 | 13 | 2 |
T Abraham | Dallas College - Brookhaven | 8 | - | 70 | 2 | 8 | 10 | 0 | - | 2 | 3 | 0.7 | 3 | 0 |
D Abram | Minnesota North College - Itasca | 26 | 4 | 319 | 28 | 72 | 100 | 38 | 2 | 16 | 23 | 0.7 | 21 | 2 |
R Acosta | Bergen | 27 | 25 | 27 | 13 | 60 | 73 | 52 | - | 58 | 31 | 1.9 | 22 | 2 |
J Adams | Dallas College - Richland | 2 | - | 2 | 0 | 0 | 0 | 1 | - | 1 | 1 | 1.0 | 0 | 0 |
N Adams | Luzerne County | 16 | 5 | 16 | 10 | 20 | 30 | 6 | - | 4 | 18 | 0.2 | 7 | 0 |
D Addley | Johnson | 11 | 4 | 149 | 6 | 12 | 18 | 13 | 0 | 10 | 10 | 1.0 | 3 | 2 |
C Adkins | Dallas College - Brookhaven | 27 | 4 | 288 | 6 | 28 | 34 | 0 | - | 34 | 22 | 1.5 | 12 | 0 |
B Adkisson | Minnesota North College - Itasca | 26 | 12 | 369 | 13 | 29 | 42 | 36 | 3 | 29 | 42 | 0.7 | 14 | 3 |
B Agard | Hudson Valley | 8 | - | 44 | 1 | 2 | 3 | 7 | - | 1 | 4 | 0.3 | 3 | 0 |
G Agorioge | Hostos | 31 | 13 | 227 | 33 | 49 | 82 | 44 | 0 | 6 | 19 | 0.3 | 7 | 10 |
J Agurto | Bergen | 27 | 16 | 27 | 4 | 26 | 30 | 21 | - | 69 | 21 | 3.3 | 16 | 0 |
I Ahmad | SUNY Broome | 21 | 2 | 88 | 5 | 24 | 29 | 28 | 1 | 11 | 21 | 0.5 | 6 | 2 |
A Ais | Bergen | 10 | 7 | 10 | 16 | 34 | 50 | 21 | - | 39 | 23 | 1.7 | 16 | 2 |
K Ajao | Dallas College - Cedar Valley | 6 | - | 6 | 7 | 8 | 15 | 5 | - | 0 | 6 | 0.0 | 3 | 0 |
C Ajoku | LaGuardia | 10 | - | 10 | 2 | 15 | 17 | 20 | 1 | 11 | 16 | 0.7 | 9 | 1 |
S Akbar | Harper | 11 | - | 40 | 3 | 4 | 7 | 2 | 0 | 1 | 9 | 0.1 | 1 | 0 |
J Akerele | Brookdale | 14 | - | 14 | 9 | 14 | 23 | 15 | - | 10 | 11 | 0.9 | 3 | 2 |
A Akinmola | Fulton-Montgomery | 3 | - | 28 | 1 | 0 | 1 | 3 | 0 | 1 | 1 | 1.0 | 1 | 0 |
D Akognon | Montgomery | 8 | - | 34 | 9 | 14 | 23 | 2 | 0 | 3 | 3 | 1.0 | 1 | 1 |
C Akwanrandu | RCSJ Gloucester | 21 | 1 | 247 | 37 | 37 | 74 | 41 | 1 | 8 | 34 | 0.2 | 15 | 15 |
N Akyeansah | Passaic County | 26 | 26 | 65 | 106 | 199 | 305 | 77 | 5 | 79 | 61 | 1.3 | 41 | 19 |
J Alagna | Nassau | 15 | - | 31 | 2 | 5 | 7 | 10 | 0 | 5 | 5 | 1.0 | 6 | 0 |
T Albright | RCSJ Cumberland | 29 | 20 | 29 | 13 | 24 | 37 | 34 | - | 30 | 25 | 1.2 | 18 | 2 |
C Alexander | Dallas College - Brookhaven | 13 | 7 | 238 | 28 | 41 | 69 | 0 | - | 2 | 14 | 0.1 | 4 | 2 |
C Alexander | Madison | 29 | 28 | 390 | 40 | 52 | 92 | 72 | 3 | 10 | 21 | 0.5 | 6 | 0 |
K Alexander | Kingsborough | 25 | - | 61 | 68 | 97 | 165 | 30 | 1 | 9 | 29 | 0.3 | 6 | 9 |
K Alexis | Rockland | 14 | 13 | 13 | 8 | 28 | 36 | 0 | 0 | 70 | 34 | 2.1 | 27 | 6 |
S Alexis | North Country | 21 | 1 | 37 | 18 | 28 | 46 | 15 | 0 | 2 | 19 | 0.1 | 4 | 9 |
J Ali | Camden County | 22 | 2 | 22 | 0 | 53 | 53 | 39 | 1 | 25 | 1 | 25.0 | 5 | 6 |
J Allen | Union | 22 | 13 | 74 | 59 | 81 | 140 | 10 | 0 | 24 | 41 | 0.6 | 23 | 18 |
M Allen | RCSJ Cumberland | 16 | 16 | 16 | 44 | 101 | 145 | 25 | 1 | 35 | 27 | 1.3 | 27 | 11 |
N Allen | Brookdale | 26 | 20 | 51 | 70 | 109 | 179 | 47 | 1 | 8 | 24 | 0.3 | 5 | 59 |
Y Almonte | Bronx | 27 | 21 | 723 | 20 | 49 | 69 | 88 | 5 | 105 | 100 | 1.1 | 66 | 5 |
A Alphonse | Rockland | 26 | 10 | 32 | 16 | 30 | 46 | 2 | 0 | 38 | 47 | 0.8 | 31 | 2 |
M Alston | Middlesex College | 30 | 24 | 163 | 35 | 56 | 91 | 32 | - | 30 | 28 | 1.1 | 20 | 3 |
N Alterio | Virginia Western Community College | 14 | - | 32 | 1 | 6 | 7 | 5 | - | 0 | 4 | 0.0 | 4 | 0 |
A Alvarado | Dutchess | 17 | 6 | 17 | 10 | 16 | 26 | 35 | 2 | 16 | 24 | 0.7 | 2 | 0 |
A Alvarez | Butler County | 26 | 18 | 59 | 139 | 200 | 339 | 57 | - | 39 | 64 | 0.6 | 39 | 27 |
K Alverez | Ocean County | 21 | 4 | 244 | 4 | 14 | 18 | 25 | 1 | 16 | 18 | 0.9 | 8 | 0 |
C Amechi | Bristol | 16 | - | 15 | 0 | 9 | 9 | 3 | - | 2 | 5 | 0.4 | 1 | 1 |
R Anakani | Dallas College - Mountain View | 23 | 2 | 290 | 13 | 46 | 59 | 26 | - | 8 | 15 | 0.5 | 13 | 5 |
E Andariese | Ocean County | 25 | 1 | 170 | 7 | 19 | 26 | 4 | - | 5 | 13 | 0.4 | 6 | 0 |
N Anderson | Roxbury | 28 | 25 | 109 | 66 | 104 | 170 | 89 | 7 | 24 | 36 | 0.7 | 33 | 51 |
W Anderson | Oxford Emory | 28 | - | 527 | 33 | 80 | 113 | 43 | - | 40 | 34 | 1.2 | 20 | 6 |
J Andrews | Madison | 12 | - | 65 | 3 | 6 | 9 | 7 | 0 | 6 | 12 | 0.5 | 5 | 0 |
M Andy | Atlantic Cape | 17 | 8 | 17 | 10 | 45 | 55 | 0 | - | 1 | 4 | 0.3 | 0 | 10 |
V Anfield | RCSJ Gloucester | 23 | 23 | 586 | 31 | 47 | 78 | 47 | 1 | 59 | 39 | 1.5 | 27 | 7 |
B Archer | Hudson Valley | 27 | 26 | 681 | 80 | 134 | 214 | 73 | 3 | 13 | 46 | 0.3 | 27 | 48 |
B Archille | Middlesex College | 30 | 24 | 213 | 84 | 145 | 229 | 55 | 2 | 27 | 43 | 0.6 | 13 | 120 |
A Arias | Northland | 26 | 26 | 643 | 13 | 66 | 79 | 32 | - | 65 | 71 | 0.9 | 36 | 3 |
J Armstrong | Cayuga | 13 | - | 22 | 1 | 3 | 4 | 4 | - | 0 | 1 | 0.0 | 0 | 0 |
J Artis | Sussex County | 26 | - | 26 | 11 | 16 | 27 | 7 | - | 7 | 7 | 1.0 | 3 | 1 |
J Arty | MassBay | 18 | 1 | 22 | 6 | 16 | 22 | 18 | - | 4 | 12 | 0.3 | 1 | 0 |
E Askew | Cayuga | 23 | 1 | 58 | 7 | 28 | 35 | 29 | 0 | 21 | 34 | 0.6 | 12 | 3 |
J Askew | Lincoln New England | 5 | - | 81 | 1 | 8 | 9 | 7 | - | 16 | 4 | 4.0 | 7 | 0 |
T Austin | Western Tech | 23 | - | 274 | 16 | 39 | 55 | 21 | - | 12 | 13 | 0.9 | 5 | 4 |
B Avant | Wytheville | 16 | 1 | 20 | 4 | 7 | 11 | 12 | - | 3 | 3 | 1.0 | 4 | 0 |
B Ayarza | Cayuga | 21 | 3 | 132 | 20 | 48 | 68 | 42 | 1 | 63 | 48 | 1.3 | 41 | 1 |
C Ayers | Central Lakes | 25 | - | 146 | 17 | 29 | 46 | 30 | - | 1 | 12 | 0.1 | 3 | 1 |
J Aziz | Northampton | 6 | 6 | 43 | 1 | 15 | 16 | 10 | 0 | 29 | 15 | 1.9 | 7 | 1 |
R Badawy | Kingsborough | 16 | - | 16 | 9 | 22 | 31 | 8 | - | 17 | 18 | 0.9 | 3 | 1 |
Q Baggett | Sandhills | 16 | - | 288 | 45 | 50 | 95 | 41 | 1 | 15 | 21 | 0.7 | 4 | 30 |
A Bailey | Milwaukee Area Tech | 7 | - | 61 | 9 | 10 | 19 | 18 | - | 5 | 6 | 0.8 | 2 | 1 |
A Bailey | St. Cloud Tech | 19 | 19 | 571 | 37 | 88 | 125 | 49 | 2 | 73 | 63 | 1.2 | 41 | 14 |
I Baldwin | Sandhills | 35 | 34 | 770 | 105 | 202 | 307 | 116 | 5 | 36 | 51 | 0.7 | 19 | 33 |
N Balis | Montgomery County | 10 | - | 104 | 2 | 15 | 17 | 7 | - | 6 | 5 | 1.2 | 4 | 2 |
C Balthazar | LaGuardia | 14 | - | 35 | 23 | 34 | 57 | 23 | 0 | 3 | 12 | 0.3 | 3 | 19 |
J Bandera | Onondaga | - | - | - | - | - | - | - | - | - | - | - | - | - |
D Banfield | Northampton | - | - | - | - | - | - | - | - | - | - | - | - | - |
C Banks | Sandhills | 18 | 1 | 70 | 2 | 8 | 10 | 5 | - | 3 | 2 | 1.5 | 4 | 0 |
J Banks | Bristol | 13 | 2 | 11 | 2 | 13 | 15 | 1 | - | 4 | 5 | 0.8 | 5 | 0 |
K Banks | West Georgia Tech | 15 | - | 108 | 15 | 18 | 33 | 14 | - | 2 | 4 | 0.5 | 4 | 2 |
K Banks | Finger Lakes | 29 | 5 | 776 | 90 | 108 | 198 | 50 | 0 | 58 | 70 | 0.8 | 69 | 0 |
B Banna | Kingsborough | 8 | - | 11 | 2 | 6 | 8 | 10 | 0 | 7 | 7 | 1.0 | 4 | 3 |
M Banton | SUNY-Delhi | 30 | 28 | 105 | 18 | 101 | 119 | 74 | 1 | 74 | 64 | 1.2 | 54 | 6 |
S Baptiste | Dutchess | 22 | 15 | 22 | 34 | 114 | 148 | 65 | 5 | 19 | 47 | 0.4 | 21 | 10 |
V Baptiste | Hudson Valley | 23 | 1 | 209 | 17 | 34 | 51 | 27 | - | 7 | 20 | 0.3 | 5 | 3 |
J Barbati | Oxford Emory | 2 | 1 | 5 | 0 | 0 | 0 | 1 | - | 0 | 0 | - | 0 | 0 |
S Barbetto | Rockland | 26 | 18 | 56 | 38 | 74 | 112 | 4 | 0 | 102 | 68 | 1.5 | 78 | 3 |
Z Barens | Lorain County | 29 | 22 | 515 | 41 | 89 | 130 | 77 | 1 | 31 | 46 | 0.7 | 18 | 28 |
C Barker | LaGuardia | 2 | 2 | 2 | 1 | 4 | 5 | 8 | - | 11 | 5 | 2.2 | 0 | 0 |
D Barnes | North Country | 4 | - | 5 | 4 | 7 | 11 | 1 | - | 4 | 7 | 0.6 | 2 | 3 |
A Barry | Rochester | 30 | - | 301 | 25 | 34 | 59 | 21 | 0 | 20 | 12 | 1.7 | 19 | 2 |
D Barry | Mohawk Valley | 14 | - | 39 | 3 | 3 | 6 | 5 | 0 | 2 | 1 | 2.0 | 0 | 1 |
T Bartlett | Minnesota North College - Hibbing | 4 | - | 7 | 0 | 0 | 0 | 0 | - | 0 | 0 | - | 0 | 0 |
O Barwari | SUNY Broome | 7 | 1 | 30 | 1 | 9 | 10 | 5 | - | 3 | 8 | 0.4 | 6 | 2 |
G Bates | Brookdale | 22 | - | 28 | 8 | 14 | 22 | 24 | 1 | 10 | 12 | 0.8 | 14 | 0 |
A Bausewell | Minnesota North College - Vermilion | 1 | - | 15 | 1 | 1 | 2 | 0 | - | 0 | 0 | - | 1 | 0 |
A Beadle | Dutchess | 20 | 9 | 56 | 11 | 39 | 50 | 33 | 1 | 14 | 46 | 0.3 | 14 | 1 |
B Bearden | Madison | 28 | - | 504 | 55 | 62 | 117 | 94 | 4 | 32 | 59 | 0.5 | 43 | 6 |
W Beard | Minnesota North College - Itasca | 9 | 6 | 70 | 5 | 13 | 18 | 5 | - | 21 | 22 | 1.0 | 11 | 2 |
J Beason | Holyoke | - | - | - | - | - | - | - | - | - | - | - | - | - |
C Beauvoir | Luzerne County | 26 | 20 | 26 | 36 | 98 | 134 | 44 | 1 | 46 | 61 | 0.8 | 44 | 7 |
K Beheler | Joliet | 30 | 14 | 546 | 54 | 108 | 162 | 71 | 2 | 24 | 43 | 0.6 | 10 | 6 |
D Bell | Fond du Lac Tribal & CC | 23 | 23 | 626 | 51 | 100 | 151 | 49 | - | 8 | 27 | 0.3 | 4 | 3 |
S Bello | Davidson-Davie | 25 | 8 | 370 | 10 | 28 | 38 | 37 | - | 73 | 41 | 1.8 | 21 | 0 |
T Bell | Fond du Lac Tribal & CC | 12 | - | 53 | 0 | 3 | 3 | 5 | - | 3 | 6 | 0.5 | 3 | 0 |
W Bell | Dallas College - Eastfield | 30 | 27 | 30 | 36 | 74 | 110 | 0 | - | 39 | 54 | 0.7 | 46 | 21 |
A Belnavis | Quinsigamond | 11 | 7 | 286 | 6 | 31 | 37 | 17 | - | 23 | 23 | 1.0 | 6 | 4 |
S Bennett | Corning | 26 | 1 | 99 | 48 | 71 | 119 | 49 | 1 | 12 | 16 | 0.8 | 8 | 4 |
T Bennett | Brookdale | 28 | 9 | 51 | 12 | 54 | 66 | 36 | 1 | 39 | 42 | 0.9 | 14 | 5 |
R Ben | Anoka-Ramsey | 28 | 26 | 760 | 78 | 126 | 204 | 64 | 2 | 36 | 33 | 1.1 | 22 | 10 |
D Benton | Harper | 30 | 25 | 975 | 122 | 204 | 326 | 99 | 5 | 60 | 66 | 0.9 | 56 | 30 |
N Benton | Ridgewater | 3 | 1 | 17 | 0 | 3 | 3 | 2 | - | 1 | 0 | - | 1 | 1 |
A Berete | LaGuardia | 25 | 2 | 56 | 23 | 57 | 80 | 30 | 1 | 2 | 14 | 0.1 | 8 | 24 |
B Berrios | Bronx | 28 | 28 | 898 | 9 | 57 | 66 | 73 | 3 | 70 | 80 | 0.9 | 41 | 4 |
M Berroa | SUNY-Delhi | 30 | 29 | 89 | 45 | 212 | 257 | 85 | 3 | 78 | 67 | 1.2 | 32 | 42 |
Z Berry | Dallas College - North Lake | 6 | - | 19 | 0 | 2 | 2 | 0 | - | 2 | 5 | 0.4 | 1 | 2 |
S Bert | Schenectady County | 22 | 13 | 161 | 1 | 2 | 3 | 6 | 0 | 5 | 4 | 1.3 | 2 | 3 |
V Beschta | Hostos | 33 | 28 | 343 | 55 | 89 | 144 | 87 | 6 | 25 | 29 | 0.9 | 44 | 23 |
B Best | Prince George's | 17 | - | 62 | 8 | 23 | 31 | 11 | - | 9 | 12 | 0.8 | 7 | 1 |
R Betts | Kingsborough | 25 | 1 | 47 | 41 | 75 | 116 | 41 | 2 | 19 | 38 | 0.5 | 11 | 11 |
O Bewry | Holyoke | - | - | - | - | - | - | - | - | - | - | - | - | - |
A Biddle | Wytheville | 28 | 17 | 102 | 45 | 85 | 130 | 60 | - | 31 | 39 | 0.8 | 39 | 15 |
K Bigwarfe | Jefferson (NY) | 16 | 1 | 180 | 2 | 6 | 8 | 21 | 0 | 9 | 7 | 1.3 | 2 | 0 |
C Billingsley | Allegheny County-Boyce | 10 | 9 | 198 | 2 | 1 | 3 | 9 | 1 | 1 | 5 | 0.2 | 0 | 1 |
C Billingsley | Allegheny County-Boyce | 26 | 16 | 648 | 5 | 11 | 16 | 3 | - | 1 | 8 | 0.1 | 2 | 4 |
L Birks | CT State | 15 | 3 | 15 | 33 | 30 | 63 | 28 | 2 | 2 | 12 | 0.2 | 4 | 7 |
T Biti | Minnesota North College - Rainy River | 26 | 16 | 562 | 10 | 45 | 55 | 71 | 5 | 64 | 45 | 1.4 | 25 | 1 |
B Black | SUNY Broome | 14 | 1 | 56 | 9 | 12 | 21 | 14 | 0 | 3 | 8 | 0.4 | 12 | 3 |
J Blackmon | Joliet | 14 | 10 | 339 | 38 | 61 | 99 | 25 | - | 9 | 14 | 0.6 | 6 | 0 |
C Blackwell | Bristol | 11 | 5 | 10 | 4 | 18 | 22 | 8 | 1 | 9 | 11 | 0.8 | 7 | 3 |
E Blaes | Kingsborough | 8 | - | 11 | 0 | 5 | 5 | 0 | 0 | 5 | 1 | 5.0 | 2 | 0 |
T Blue | Sandhills | 24 | 6 | 361 | 10 | 34 | 44 | 29 | - | 52 | 37 | 1.4 | 16 | 0 |
E Bonner | Ridgewater | 10 | 4 | 184 | 7 | 23 | 30 | 15 | - | 6 | 13 | 0.5 | 4 | 1 |
J Bonner | Minnesota West | 5 | - | 17 | 0 | 3 | 3 | 3 | - | 0 | 6 | 0.0 | 1 | 0 |
B Bonnet | Bunker Hill | 28 | 28 | 862 | 13 | 35 | 48 | 37 | 2 | 55 | 44 | 1.3 | 41 | 0 |
J Boone | Minnesota North College - Itasca | 15 | 10 | 103 | 6 | 19 | 25 | 13 | - | 26 | 15 | 1.7 | 15 | 2 |
S Boone | Sullivan County | 22 | 2 | 191 | 18 | 9 | 27 | 13 | 0 | 9 | 9 | 1.0 | 5 | 1 |
L Booth | DuPage | 30 | 28 | 571 | 67 | 98 | 165 | 59 | 0 | 23 | 26 | 0.9 | 32 | 38 |
C Botteon | UConn Avery Point | 10 | - | 10 | 0 | 11 | 11 | 18 | 2 | 3 | 10 | 0.3 | 7 | 0 |
O Boumerzoug | Minnesota State | 23 | 16 | 542 | 41 | 83 | 124 | 52 | 1 | 56 | 41 | 1.4 | 19 | 9 |
D Bowsky | Philadelphia | 26 | - | 289 | 7 | 31 | 38 | 16 | 0 | 20 | 18 | 1.1 | 13 | 1 |
I Box | Rock Valley | 35 | 4 | 589 | 11 | 53 | 64 | 29 | 0 | 107 | 62 | 1.7 | 62 | 2 |
D Boyce | Bunker Hill | 10 | - | 166 | 6 | 12 | 18 | 5 | - | 7 | 8 | 0.9 | 9 | 3 |
X Boyd | Dutchess | 27 | 9 | 48 | 5 | 19 | 24 | 47 | 1 | 10 | 27 | 0.4 | 15 | 1 |
J Bracero | Middlesex College | 14 | 14 | 245 | 3 | 26 | 29 | 17 | - | 79 | 32 | 2.5 | 9 | 2 |
J Bradley | Minnesota North College - Mesabi Range | 9 | 1 | 62 | 11 | 10 | 21 | 19 | - | 2 | 4 | 0.5 | 3 | 2 |
M Bradley | Thaddeus Stevens Tech | 18 | 1 | 18 | 31 | 56 | 87 | 42 | 1 | 23 | 32 | 0.7 | 16 | 13 |
A Brama | Anoka-Ramsey | 6 | 1 | 103 | 5 | 24 | 29 | 3 | 0 | 4 | 8 | 0.5 | 2 | 0 |
J Brandl | St. Cloud Tech | 24 | - | 216 | 4 | 17 | 21 | 19 | 0 | 21 | 18 | 1.2 | 8 | 2 |
C Brannon | Holyoke | - | - | - | - | - | - | - | - | - | - | - | - | - |
A Brantley | Fond du Lac Tribal & CC | 10 | - | 16 | 1 | 1 | 2 | 0 | - | 0 | 1 | 0.0 | 0 | 1 |
M Brashear | Dallas College - Mountain View | 9 | - | 182 | 14 | 18 | 32 | 30 | 2 | 7 | 16 | 0.4 | 13 | 1 |
A Brennan | Corning | 15 | - | 43 | 26 | 27 | 53 | 19 | 1 | 5 | 9 | 0.6 | 12 | 7 |
R Brennan | Montgomery County | 24 | 3 | 240 | 3 | 16 | 19 | 30 | 2 | 8 | 10 | 0.8 | 8 | 0 |
B Brevard | Passaic County | 28 | 28 | 62 | 57 | 124 | 181 | 99 | 10 | 90 | 103 | 0.9 | 50 | 10 |
J Brickley | Atlantic Cape | 3 | - | 3 | 0 | 3 | 3 | 2 | - | 1 | 0 | - | 2 | 0 |
K Bridges | DuPage | 8 | 2 | 101 | 7 | 4 | 11 | 10 | 0 | 12 | 9 | 1.3 | 9 | 0 |
J Briggs | Dallas College - North Lake | 12 | - | 47 | 1 | 4 | 5 | 0 | - | 3 | 3 | 1.0 | 4 | 0 |
K Briggs | Sullivan County | 5 | - | 23 | 0 | 2 | 2 | 3 | - | 0 | 0 | - | 0 | 0 |
J Brioso | Fulton-Montgomery | 3 | - | 10 | 1 | 1 | 2 | 3 | 0 | 0 | 0 | - | 0 | 0 |
K Brito | Northern Essex | 23 | - | 45 | 18 | 28 | 46 | 35 | 1 | 17 | 40 | 0.4 | 25 | 0 |
T Brobbery | Dutchess | 27 | 14 | 48 | 40 | 82 | 122 | 71 | 4 | 17 | 35 | 0.5 | 9 | 1 |
R Bronson | CT State | 21 | 16 | 53 | 62 | 111 | 173 | 52 | 1 | 83 | 52 | 1.6 | 31 | 8 |
K Brooks-Brown | Tompkins Cortland | 21 | 4 | 181 | 11 | 31 | 42 | 22 | 1 | 13 | 22 | 0.6 | 9 | 0 |
C Brooks | Dallas College - Eastfield | 27 | - | 27 | 18 | 18 | 36 | 0 | - | 2 | 2 | 1.0 | 4 | 12 |
D Brooks | Dallas College - Eastfield | 25 | 1 | 25 | 21 | 30 | 51 | 0 | - | 15 | 21 | 0.7 | 18 | 5 |
D Brooks | Minnesota North College - Vermilion | 27 | 26 | 867 | 190 | 235 | 425 | 46 | 1 | 58 | 42 | 1.4 | 81 | 77 |
K Brooks | Dallas College - Brookhaven | 18 | 1 | 152 | 1 | 9 | 10 | 0 | - | 9 | 10 | 0.9 | 12 | 0 |
O Brooks | Clinton (NY) | 21 | 6 | 74 | 54 | 74 | 128 | 41 | 1 | 14 | 33 | 0.4 | 14 | 62 |
R Brown Johnson | Camden County | 26 | 26 | 26 | 0 | 96 | 96 | 70 | 3 | 88 | 1 | 88.0 | 55 | 48 |
B Brown | Sullivan County | 14 | 11 | 242 | 25 | 44 | 69 | 19 | 0 | 16 | 17 | 0.9 | 6 | 1 |
C Brown | Lincoln New England | 16 | 10 | 271 | 6 | 26 | 32 | 33 | - | 25 | 38 | 0.7 | 20 | 2 |
C Brown | Brookdale | 19 | 10 | 32 | 2 | 34 | 36 | 36 | 1 | 53 | 49 | 1.1 | 18 | 0 |
D Brown | Rock Valley | 35 | 2 | 355 | 36 | 42 | 78 | 46 | 0 | 15 | 12 | 1.3 | 3 | 0 |
D Brown | Minnesota North College - Mesabi Range | 26 | 21 | 811 | 27 | 59 | 86 | 37 | - | 65 | 23 | 2.8 | 40 | 4 |
G Brown | Westmoreland | 23 | 21 | 198 | 64 | 92 | 156 | 58 | 0 | 50 | 59 | 0.8 | 29 | 21 |
J Brown | Wytheville | 29 | 2 | 53 | 9 | 25 | 34 | 16 | - | 23 | 23 | 1.0 | 18 | 0 |
J Brown | Lehigh Carbon | 28 | 27 | 634 | 81 | 172 | 253 | 73 | 5 | 50 | 67 | 0.7 | 24 | 33 |
K Brown | LaGuardia | 28 | 12 | 112 | 16 | 58 | 74 | 38 | 0 | 32 | 66 | 0.5 | 42 | 1 |
K Brown | Herkimer | 19 | 1 | 19 | 12 | 26 | 38 | 2 | 0 | 9 | 20 | 0.5 | 5 | 2 |
K Brown | Virginia Western Community College | 7 | 1 | 7 | 5 | 23 | 28 | 21 | 1 | 0 | 7 | 0.0 | 1 | 9 |
K Brown | Bristol | 11 | 3 | 9 | 4 | 20 | 24 | 7 | - | 1 | 6 | 0.2 | 8 | 1 |
M Brown | Milwaukee Area Tech | 28 | 25 | 570 | 79 | 120 | 199 | 64 | 1 | 16 | 55 | 0.3 | 16 | 13 |
M Brown | RCSJ Cumberland | 13 | 1 | 13 | 11 | 20 | 31 | 4 | - | 2 | 4 | 0.5 | 3 | 3 |
N Brown | Sullivan County | 3 | - | 9 | 1 | 4 | 5 | 0 | - | 1 | 1 | 1.0 | 0 | 0 |
P Brown | Queensborough | 11 | 11 | 47 | 16 | 53 | 69 | 19 | 0 | 33 | 34 | 1.0 | 29 | 1 |
T Brown | RCSJ Gloucester | 22 | 18 | 503 | 58 | 120 | 178 | 59 | 2 | 35 | 42 | 0.8 | 26 | 14 |
X Brown | Jefferson (NY) | 7 | 3 | 122 | 7 | 11 | 18 | 14 | - | 3 | 6 | 0.5 | 10 | 6 |
R Brumby | Minnesota North College - Mesabi Range | 29 | 26 | 726 | 80 | 83 | 163 | 73 | - | 25 | 33 | 0.8 | 33 | 28 |
D Bruns | Minnesota North College - Hibbing | 27 | 16 | 497 | 44 | 66 | 110 | 56 | 1 | 5 | 44 | 0.1 | 6 | 2 |
E Bryant | Borough of Manhattan | 30 | 29 | 559 | 41 | 104 | 145 | 64 | 1 | 94 | 87 | 1.1 | 50 | 9 |
J Buie | Davidson-Davie | 18 | - | 113 | 14 | 19 | 33 | 11 | - | 4 | 7 | 0.6 | 10 | 3 |
B Bullock | Finger Lakes | 28 | 28 | 864 | 53 | 139 | 192 | 88 | 3 | 147 | 94 | 1.6 | 65 | 19 |
A Burgess | Minnesota North College - Itasca | 24 | 11 | 330 | 32 | 31 | 63 | 34 | 1 | 37 | 30 | 1.2 | 19 | 0 |
B Burgess | Union | 13 | 2 | 13 | 5 | 25 | 30 | 0 | 0 | 12 | 12 | 1.0 | 14 | 0 |
A Burke | Quinsigamond | 11 | 11 | 298 | 22 | 52 | 74 | 17 | - | 9 | 6 | 1.5 | 10 | 3 |
H Burke | Union | 27 | 17 | 79 | 58 | 90 | 148 | 21 | 0 | 36 | 42 | 0.9 | 22 | 38 |
T Burke | Ulster County | 15 | 14 | 26 | 23 | 47 | 70 | 19 | 0 | 8 | 46 | 0.2 | 9 | 7 |
E Burlingame | Milwaukee Area Tech | 29 | 14 | 480 | 47 | 74 | 121 | 64 | 2 | 6 | 40 | 0.1 | 8 | 15 |
C Burnette | Davidson-Davie | 25 | 14 | 449 | 51 | 66 | 117 | 65 | - | 51 | 25 | 2.0 | 11 | 77 |
J Burns | Pennsylvania Highlands | 11 | 2 | 11 | 12 | 11 | 23 | 15 | - | 6 | 17 | 0.4 | 11 | 1 |
D Busby | Dallas College - Cedar Valley | 9 | 4 | 9 | 2 | 3 | 5 | 3 | - | 2 | 1 | 2.0 | 1 | 0 |
J Butler | Anoka-Ramsey | 28 | 13 | 425 | 6 | 52 | 58 | 36 | 0 | 43 | 27 | 1.6 | 12 | 1 |
J Butler | SUNY Adirondack | 25 | - | 50 | 3 | 17 | 20 | 13 | - | 15 | 6 | 2.5 | 6 | 0 |
T Butler | Minnesota North College - Vermilion | 29 | 28 | 748 | 108 | 171 | 279 | 65 | - | 27 | 34 | 0.8 | 30 | 11 |
D Buysse | Minnesota West | 27 | 27 | 940 | 57 | 182 | 239 | 53 | 0 | 59 | 80 | 0.7 | 53 | 8 |
C Byrgiotis | Anoka-Ramsey | 26 | 23 | 636 | 9 | 49 | 58 | 30 | 0 | 72 | 37 | 1.9 | 17 | 5 |
M Cabrera | Hostos | 16 | - | 22 | 0 | 1 | 1 | 5 | 0 | 7 | 9 | 0.8 | 4 | 0 |
S Cadichon | Rockland | 25 | 24 | 41 | 62 | 93 | 155 | 2 | 0 | 9 | 22 | 0.4 | 20 | 36 |
D Cady | Rochester | 33 | 17 | 670 | 8 | 36 | 44 | 54 | 0 | 69 | 36 | 1.9 | 35 | 5 |
M Caldwell | Dallas College - Eastfield | 28 | - | 28 | 40 | 48 | 88 | 0 | - | 9 | 18 | 0.5 | 17 | 0 |
N Caldwell | Philadelphia | 8 | 1 | 100 | 11 | 17 | 28 | 13 | - | 10 | 11 | 0.9 | 3 | 1 |
L Calkins | Fulton-Montgomery | 2 | - | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0 | 0 | 0 |
K Callado | Rockland | 10 | 1 | 42 | 13 | 11 | 24 | 3 | 0 | 1 | 5 | 0.2 | 5 | 4 |
J Callis | Thaddeus Stevens Tech | 9 | - | 9 | 4 | 3 | 7 | 1 | - | 0 | 3 | 0.0 | 2 | 1 |
C Campbell | Sullivan County | 14 | - | 74 | 7 | 13 | 20 | 15 | - | 0 | 1 | 0.0 | 3 | 2 |
E Campbell | Middlesex College | 28 | - | 98 | 16 | 29 | 45 | 21 | - | 11 | 23 | 0.5 | 10 | 0 |
L Campbell | Suffolk County | 4 | - | 4 | 2 | 4 | 6 | 4 | - | 0 | 4 | 0.0 | 0 | 1 |
D Campilongo | Bronx | 29 | 14 | 428 | 39 | 77 | 116 | 61 | 0 | 13 | 27 | 0.5 | 11 | 32 |
Q Canty | Rock Valley | 35 | 8 | 715 | 40 | 88 | 128 | 60 | 1 | 86 | 49 | 1.8 | 35 | 1 |
A Cappard | St. Cloud Tech | 27 | 4 | 586 | 76 | 117 | 193 | 63 | 0 | 38 | 57 | 0.7 | 67 | 15 |
J Carey | Suffolk County | 12 | 3 | 12 | 11 | 16 | 27 | 19 | - | 4 | 3 | 1.3 | 1 | 2 |
J Carlisle | Minnesota North College - Rainy River | 24 | 13 | 596 | 69 | 115 | 184 | 56 | - | 32 | 52 | 0.6 | 30 | 12 |
S Carlsson | Butler County | 27 | 1 | 29 | 8 | 12 | 20 | 12 | - | 4 | 4 | 1.0 | 6 | 0 |
A Carmichael | Minnesota North College - Vermilion | 12 | - | 90 | 1 | 5 | 6 | 5 | - | 2 | 3 | 0.7 | 2 | 0 |
A Carr | Minnesota North College - Hibbing | 26 | 18 | 773 | 64 | 100 | 164 | 70 | 4 | 48 | 90 | 0.5 | 43 | 8 |
Z Carr | Thaddeus Stevens Tech | 22 | - | 22 | 41 | 26 | 67 | 26 | - | 4 | 4 | 1.0 | 3 | 3 |
C Carter | West Georgia Tech | 28 | 13 | 470 | 56 | 91 | 147 | 51 | - | 10 | 30 | 0.3 | 19 | 4 |
R Carter | Bristol | 21 | 3 | 19 | 0 | 11 | 11 | 4 | - | 14 | 22 | 0.6 | 6 | 1 |
S Carter | Quinsigamond | 3 | 3 | 81 | 1 | 17 | 18 | 5 | - | 9 | 17 | 0.5 | 3 | 1 |
J Carver | Wytheville | - | - | - | - | - | - | - | - | - | - | - | - | - |
V Casciello | Montgomery County | 24 | 3 | 342 | 54 | 64 | 118 | 36 | 2 | 17 | 25 | 0.7 | 17 | 23 |
J Casey | Anoka-Ramsey | 27 | 20 | 673 | 54 | 137 | 191 | 66 | 1 | 33 | 37 | 0.9 | 16 | 47 |
R Casper | Montgomery County | 25 | 25 | 541 | 55 | 105 | 160 | 72 | 2 | 46 | 39 | 1.2 | 33 | 15 |
C Castro | Clinton (NY) | 25 | 23 | 87 | 36 | 69 | 105 | 58 | 1 | 125 | 81 | 1.5 | 42 | 4 |
S Cathey | Johnson | 8 | 3 | 120 | 22 | 23 | 45 | 14 | - | 4 | 7 | 0.6 | 5 | 9 |
B Centeno | Northern Essex | 18 | - | 18 | 0 | 3 | 3 | 8 | - | 2 | 17 | 0.1 | 2 | 0 |
J Cervi | Atlantic Cape | 9 | 7 | 9 | 9 | 20 | 29 | 0 | - | 0 | 0 | - | 3 | 5 |
E Cespedes | Hostos | 17 | 11 | 191 | 16 | 55 | 71 | 31 | 1 | 44 | 30 | 1.5 | 44 | 5 |
E Chambers | Nassau | 29 | 29 | 119 | 5 | 49 | 54 | 60 | 0 | 35 | 53 | 0.7 | 42 | 5 |
K Chambers | Nassau | 27 | 3 | 131 | 22 | 69 | 91 | 44 | 0 | 27 | 24 | 1.1 | 20 | 10 |
S Chambers | Corning | 29 | 27 | 273 | 83 | 164 | 247 | 86 | 4 | 74 | 79 | 0.9 | 40 | 14 |
K Champagne | Rockland | 24 | 23 | 48 | 83 | 159 | 242 | 4 | 0 | 38 | 50 | 0.8 | 38 | 35 |
R Chandler | SUNY Adirondack | 22 | 15 | 94 | 71 | 107 | 178 | 66 | 3 | 9 | 39 | 0.2 | 21 | 12 |
M Chapman | Kingsborough | 10 | 4 | 38 | 31 | 80 | 111 | 9 | 0 | 32 | 16 | 2.0 | 6 | 8 |
J Charles | Nassau | 26 | 22 | 142 | 104 | 161 | 265 | 88 | 9 | 24 | 61 | 0.4 | 40 | 24 |
J Chateau | Queensborough | 24 | 24 | 35 | 58 | 181 | 239 | 91 | 8 | 17 | 54 | 0.3 | 7 | 45 |
J Chatham | SUNY Broome | 25 | 23 | 199 | 16 | 115 | 131 | 64 | 1 | 100 | 60 | 1.7 | 80 | 33 |
K Cheathem | Allegheny County-Boyce | 5 | - | 41 | 2 | 2 | 4 | 3 | - | 0 | 1 | 0.0 | 1 | 0 |
J Cherisma | Borough of Manhattan | 30 | 2 | 317 | 99 | 116 | 215 | 56 | 0 | 25 | 36 | 0.7 | 8 | 42 |
A Chicaiza | Columbia-Greene | 28 | 11 | 445 | 35 | 54 | 89 | 38 | 1 | 10 | 23 | 0.4 | 13 | 3 |
N Cicciarelli | Pennsylvania Highlands | 19 | 1 | 21 | 8 | 6 | 14 | 12 | - | 5 | 17 | 0.3 | 2 | 1 |
C Ciceron | Westmoreland | 6 | 1 | 6 | 2 | 6 | 8 | 7 | - | 1 | 7 | 0.1 | 0 | 0 |
F Cimino | Rock Valley | 35 | 7 | 751 | 20 | 44 | 64 | 46 | 0 | 68 | 37 | 1.8 | 37 | 1 |
M Cisson | Middlesex College | 28 | 5 | 94 | 29 | 49 | 78 | 37 | - | 10 | 25 | 0.4 | 20 | 1 |
K Clarke | Tompkins Cortland | 14 | - | 36 | 3 | 14 | 17 | 10 | - | 22 | 10 | 2.2 | 5 | 0 |
M Clarke | Montgomery | 9 | 4 | 75 | 4 | 24 | 28 | 11 | - | 4 | 16 | 0.3 | 7 | 0 |
S Clark | Northland | 26 | 24 | 679 | 46 | 77 | 123 | 65 | 2 | 31 | 31 | 1.0 | 40 | 9 |
P Claudio | Harrisburg Area | 7 | 3 | 7 | 9 | 13 | 22 | 25 | 2 | 14 | 13 | 1.1 | 17 | 1 |
R Claypool | Rochester | 33 | 33 | 779 | 52 | 82 | 134 | 70 | 2 | 121 | 80 | 1.5 | 49 | 14 |
J Clerveus | Minnesota North College - Rainy River | 22 | 14 | 433 | 45 | 76 | 121 | 46 | - | 9 | 32 | 0.3 | 11 | 6 |
J Cleveland | Dallas College - Brookhaven | 29 | 14 | 510 | 18 | 34 | 52 | 0 | - | 26 | 23 | 1.1 | 39 | 0 |
R Clifton | Minnesota State | 15 | 10 | 423 | 8 | 48 | 56 | 48 | 3 | 30 | 53 | 0.6 | 15 | 2 |
K Coar | Borough of Manhattan | 30 | 29 | 441 | 102 | 217 | 319 | 105 | 8 | 34 | 68 | 0.5 | 29 | 60 |
J Coates | RCSJ Cumberland | 6 | - | 6 | 0 | 5 | 5 | 7 | - | 3 | 2 | 1.5 | 1 | 1 |
M Coates | Riverland | 8 | - | 89 | 2 | 8 | 10 | 10 | - | 1 | 3 | 0.3 | 2 | 2 |
I Coddon | Rochester | 28 | 5 | 363 | 32 | 37 | 69 | 27 | 0 | 23 | 30 | 0.8 | 15 | 1 |
T Codjoe | Hostos | 17 | - | 30 | 2 | 4 | 6 | 8 | 0 | 9 | 4 | 2.3 | 10 | 1 |
J Cole | Madison | - | - | - | - | - | - | - | - | - | - | - | - | - |
D Coleman | Ridgewater | 27 | 26 | 704 | 54 | 110 | 164 | 63 | 3 | 49 | 52 | 0.9 | 25 | 3 |
J Coleman | Northampton | 26 | 25 | 49 | 37 | 103 | 140 | 48 | 0 | 42 | 40 | 1.1 | 25 | 9 |
J Coleman | Northampton | 25 | 7 | 31 | 34 | 79 | 113 | 36 | 2 | 23 | 34 | 0.7 | 13 | 7 |
K Coleman | Corning | 24 | 1 | 97 | 8 | 27 | 35 | 22 | - | 20 | 28 | 0.7 | 16 | 3 |
M Coleman | Lorain County | 29 | 29 | 719 | 73 | 108 | 181 | 83 | 2 | 40 | 58 | 0.7 | 35 | 15 |
J Coles | Oxford Emory | 30 | 30 | 780 | 34 | 88 | 122 | 60 | - | 110 | 65 | 1.7 | 56 | 0 |
D Collier | Philadelphia | 31 | 22 | 667 | 22 | 97 | 119 | 58 | 2 | 119 | 71 | 1.7 | 24 | 1 |
J Collins | Lincoln New England | 17 | 1 | 296 | 36 | 61 | 97 | 45 | 1 | 4 | 24 | 0.2 | 12 | 16 |
G Colon | Quinsigamond | 9 | 1 | 68 | 5 | 16 | 21 | 10 | - | 9 | 16 | 0.6 | 2 | 0 |
N Colon | Clinton (NY) | 26 | 19 | 104 | 9 | 41 | 50 | 52 | 1 | 65 | 71 | 0.9 | 37 | 2 |
R Colon | Johnson | 5 | - | 17 | 0 | 0 | 0 | 2 | - | 0 | 0 | - | 0 | 0 |
D Conley | UConn Avery Point | 11 | 1 | 11 | 0 | 13 | 13 | 8 | 1 | 10 | 7 | 1.4 | 2 | 0 |
T Connor | Pennsylvania Highlands | 22 | 22 | 48 | 13 | 59 | 72 | 61 | 2 | 64 | 48 | 1.3 | 25 | 3 |
D Cook | Bucks County | 15 | - | 15 | 0 | 8 | 8 | 7 | - | 0 | 1 | 0.0 | 3 | 1 |
G Cook | Riverland | 27 | 2 | 235 | 22 | 33 | 55 | 21 | - | 17 | 13 | 1.3 | 27 | 1 |
L Cook | North Country | 27 | 26 | 141 | 34 | 107 | 141 | 40 | 1 | 90 | 82 | 1.1 | 44 | 15 |
K Cooper | St. Cloud Tech | 27 | 17 | 402 | 46 | 44 | 90 | 73 | 0 | 12 | 26 | 0.5 | 12 | 23 |
T Cooper | Dallas College - Richland | 28 | - | 70 | 4 | 30 | 34 | 62 | 3 | 44 | 27 | 1.6 | 22 | 0 |
T Cooper | Dallas College - Richland | 9 | - | 9 | 0 | 11 | 11 | 4 | - | 12 | 9 | 1.3 | 5 | 0 |
S Core-Smith | Bunker Hill | 26 | 17 | 679 | 110 | 187 | 297 | 39 | - | 9 | 21 | 0.4 | 30 | 35 |
C Corey | Northern Essex | 28 | 9 | 42 | 28 | 51 | 79 | 52 | - | 17 | 27 | 0.6 | 9 | 7 |
B Correll | Onondaga | 17 | - | 58 | 6 | 9 | 15 | 4 | 0 | 2 | 6 | 0.3 | 0 | 1 |
C Correll | Lehigh Carbon | 27 | 26 | 630 | 96 | 223 | 319 | 52 | 3 | 57 | 69 | 0.8 | 16 | 62 |
I Cosbert | Sullivan County | 29 | 28 | 752 | 13 | 55 | 68 | 57 | 1 | 110 | 71 | 1.5 | 80 | 4 |
A Cotton | Bristol | 26 | 18 | 42 | 13 | 60 | 73 | 17 | 1 | 14 | 16 | 0.9 | 15 | 10 |
K Covolus | Ocean County | 24 | 23 | 864 | 83 | 190 | 273 | 55 | 1 | 58 | 52 | 1.1 | 33 | 17 |
T Cox | Brookdale | 28 | 27 | 52 | 15 | 76 | 91 | 65 | 2 | 117 | 62 | 1.9 | 31 | 12 |
R Crain | Western Tech | 26 | 5 | 390 | 21 | 49 | 70 | 22 | - | 20 | 26 | 0.8 | 22 | 3 |
J Cramer | Corning | 30 | 26 | 198 | 74 | 98 | 172 | 86 | 1 | 30 | 18 | 1.7 | 35 | 25 |
J Crane | Dallas College - North Lake | 14 | 2 | 117 | 1 | 18 | 19 | 1 | - | 7 | 6 | 1.2 | 7 | 0 |
C Crawley | Tompkins Cortland | 15 | 7 | 101 | 12 | 22 | 34 | 13 | 0 | 29 | 17 | 1.7 | 20 | 0 |
K Credle | SUNY Adirondack | 26 | 25 | 91 | 21 | 33 | 54 | 59 | 1 | 24 | 36 | 0.7 | 26 | 5 |
R Cromwell | Johnson | 27 | 26 | 779 | 36 | 49 | 85 | 66 | 2 | 54 | 60 | 0.9 | 19 | 10 |
B Crosby | Brookdale | 28 | 9 | 36 | 61 | 108 | 169 | 97 | 8 | 11 | 25 | 0.4 | 11 | 13 |
P Cross | Jefferson (NY) | - | - | - | - | - | - | - | - | - | - | - | - | - |
K Crowder | Minnesota North College - Mesabi Range | 29 | 26 | 901 | 68 | 108 | 176 | 74 | 1 | 85 | 75 | 1.1 | 54 | 11 |
R Cubbage | Camden County | 11 | 11 | 11 | 0 | 124 | 124 | 25 | 1 | 35 | 3 | 11.7 | 2 | 24 |
J Cueva | Oxford Emory | 30 | 5 | 427 | 7 | 25 | 32 | 40 | - | 34 | 48 | 0.7 | 20 | 1 |
R Culver | Southern Crescent Tech | 26 | 8 | 486 | 48 | 64 | 112 | 44 | - | 7 | 33 | 0.2 | 18 | 11 |
C Cummings | Anoka-Ramsey | 26 | 1 | 341 | 21 | 43 | 64 | 29 | 0 | 19 | 17 | 1.1 | 9 | 4 |
T Cunigan | Minnesota North College - Vermilion | 17 | - | 250 | 23 | 46 | 69 | 24 | - | 11 | 15 | 0.7 | 8 | 6 |
Z Curran | Montgomery | 9 | 8 | 88 | 11 | 47 | 58 | 10 | 1 | 4 | 21 | 0.2 | 2 | 6 |
K Curry | Dallas College - Mountain View | 11 | 3 | 177 | 9 | 17 | 26 | 16 | - | 18 | 8 | 2.3 | 7 | 0 |
D Curtis | Southern Crescent Tech | 27 | 3 | 330 | 14 | 29 | 43 | 32 | - | 4 | 24 | 0.2 | 13 | 1 |
L Curtis | SUNY-Delhi | 13 | 13 | 42 | 20 | 30 | 50 | 25 | - | 20 | 20 | 1.0 | 13 | 5 |
T Dahlin | Hudson Valley | 26 | - | 322 | 10 | 33 | 43 | 48 | 1 | 20 | 26 | 0.8 | 18 | 4 |
J Daignault | Schenectady County | 18 | 11 | 85 | 2 | 0 | 2 | 3 | - | 0 | 2 | 0.0 | 2 | 1 |
J Dale | Ocean County | 6 | 1 | 82 | 4 | 8 | 12 | 11 | - | 2 | 4 | 0.5 | 0 | 0 |
R Daniels | Dallas College - Richland | 29 | 26 | 113 | 10 | 70 | 80 | 47 | 1 | 79 | 50 | 1.6 | 25 | 1 |
C Dansby | Dallas College - Eastfield | 14 | 3 | 14 | 29 | 35 | 64 | 0 | - | 3 | 11 | 0.3 | 11 | 5 |
C Darnley | Fulton-Montgomery | 4 | - | 26 | 1 | 3 | 4 | 4 | 0 | 0 | 2 | 0.0 | 2 | 0 |
R Davenport | Caldwell Tech | 7 | - | 7 | 20 | 25 | 45 | 3 | - | 6 | 17 | 0.4 | 5 | 8 |
D Davis | CC of Allegheny County | 21 | 1 | 240 | 23 | 62 | 85 | 42 | 2 | 20 | 40 | 0.5 | 25 | 3 |
D Davis | Fulton-Montgomery | 4 | - | 52 | 2 | 2 | 4 | 8 | 0 | 2 | 2 | 1.0 | 0 | 0 |
D Davis | Caldwell Tech | 25 | 6 | 109 | 31 | 47 | 78 | 17 | - | 46 | 57 | 0.8 | 20 | 0 |
M Davis | Bergen | 24 | 7 | 24 | 44 | 82 | 126 | 47 | 1 | 18 | 16 | 1.1 | 13 | 6 |
N Davis | Minnesota North College - Hibbing | 18 | 17 | 575 | 13 | 60 | 73 | 33 | - | 29 | 34 | 0.9 | 12 | 2 |
T Davis | Johnson | 18 | 3 | 394 | 24 | 39 | 63 | 42 | 2 | 21 | 32 | 0.7 | 19 | 5 |
T Davis | Union | 19 | 15 | 89 | 73 | 86 | 159 | 20 | 0 | 24 | 31 | 0.8 | 20 | 16 |
T Davis | Fulton-Montgomery | 4 | 4 | 112 | 1 | 9 | 10 | 5 | 0 | 14 | 6 | 2.3 | 1 | 0 |
J Dawson | Hostos | 33 | 10 | 413 | 38 | 71 | 109 | 76 | 4 | 92 | 56 | 1.6 | 91 | 2 |
M Day | Western Tech | 20 | - | 131 | 6 | 13 | 19 | 7 | - | 3 | 9 | 0.3 | 7 | 0 |
O de los Santos | Westmoreland | 26 | 12 | 68 | 8 | 19 | 27 | 19 | 0 | 37 | 22 | 1.7 | 10 | 1 |
N Dean | Brookdale | 28 | 26 | 55 | 40 | 134 | 174 | 85 | 5 | 22 | 29 | 0.8 | 13 | 3 |
D Decker | Western Tech | 11 | 2 | 142 | 16 | 36 | 52 | 11 | - | 10 | 7 | 1.4 | 2 | 1 |
J Decker | Sussex County | 13 | - | 13 | 3 | 7 | 10 | 13 | 1 | 1 | 4 | 0.3 | 1 | 2 |
W Dee | DuPage | 23 | 1 | 226 | 4 | 27 | 31 | 24 | 0 | 20 | 23 | 0.9 | 9 | 3 |
D DeFranco | Cayuga | 23 | 19 | 119 | 14 | 43 | 57 | 46 | 2 | 49 | 35 | 1.4 | 36 | 0 |
I Delacruz | Bunker Hill | 23 | 8 | 600 | 7 | 17 | 24 | 13 | - | 37 | 10 | 3.7 | 7 | 2 |
N Deleon | Onondaga | - | - | - | - | - | - | - | - | - | - | - | - | - |
R DeLeon | Bergen | 8 | 2 | 8 | 5 | 5 | 10 | 7 | - | 7 | 5 | 1.4 | 4 | 2 |
M DeLuca | Onondaga | 18 | - | 159 | 10 | 28 | 38 | 21 | 0 | 10 | 13 | 0.8 | 5 | 2 |
N Demeno | Montgomery County | 7 | - | 91 | 1 | 5 | 6 | 10 | - | 11 | 18 | 0.6 | 4 | 0 |
K Demming | Minnesota North College - Hibbing | 13 | - | 63 | 4 | 1 | 5 | 2 | - | 0 | 3 | 0.0 | 0 | 0 |
D Demps | SUNY Broome | 6 | - | 6 | 0 | 0 | 0 | 0 | - | 0 | 1 | 0.0 | 0 | 0 |
M Dempsey | Jefferson (NY) | 13 | 3 | 114 | 16 | 26 | 42 | 15 | 0 | 2 | 4 | 0.5 | 3 | 7 |
R Dempsey | MassBay | 25 | 24 | 82 | 6 | 51 | 57 | 51 | - | 35 | 41 | 0.9 | 18 | 0 |
F Deneus | Bunker Hill | 14 | 14 | 433 | 113 | 116 | 229 | 20 | - | 5 | 24 | 0.2 | 11 | 22 |
D Dennis | Sullivan County | 27 | 6 | 340 | 31 | 60 | 91 | 69 | 0 | 10 | 17 | 0.6 | 6 | 8 |
L Dennis | Montgomery County | 17 | - | 134 | 17 | 19 | 36 | 24 | 1 | 3 | 9 | 0.3 | 5 | 1 |
D Denson | Rochester | 25 | - | 151 | 12 | 10 | 22 | 27 | 0 | 4 | 10 | 0.4 | 6 | 2 |
S Derricote | Lorain County | 24 | - | 133 | 6 | 13 | 19 | 3 | 0 | 13 | 6 | 2.2 | 3 | 0 |
K Desrosiers | Western Tech | 11 | 11 | 268 | 7 | 32 | 39 | 29 | - | 39 | 30 | 1.3 | 26 | 0 |
M Desrouleaux | Union | - | - | - | - | - | - | - | - | - | - | - | - | - |
N Deverson | Hudson Valley | 28 | 11 | 640 | 24 | 48 | 72 | 57 | - | 61 | 78 | 0.8 | 32 | 2 |
P Dia | Hostos | 8 | 1 | 55 | 8 | 19 | 27 | 15 | 1 | 3 | 6 | 0.5 | 2 | 3 |
A Dickens | Delaware County | 29 | 8 | 33 | 9 | 48 | 57 | 27 | 1 | 19 | 29 | 0.7 | 19 | 0 |
D Diggs | Prince George's | 25 | 25 | 384 | 18 | 43 | 61 | 54 | 1 | 126 | 56 | 2.3 | 38 | 1 |
H Diop | Minnesota North College - Vermilion | 16 | - | 97 | 2 | 6 | 8 | 13 | - | 3 | 9 | 0.3 | 2 | 0 |
K DiSanto | Onondaga | 29 | 1 | 522 | 62 | 75 | 137 | 45 | 0 | 34 | 67 | 0.5 | 22 | 23 |
C Dixon | Schenectady County | 15 | 2 | 77 | 3 | 8 | 11 | 4 | 0 | 0 | 0 | - | 1 | 1 |
C Dixon | Bergen | 28 | 23 | 28 | 66 | 86 | 152 | 40 | - | 13 | 12 | 1.1 | 6 | 13 |
N Dixon | Central Lakes | 30 | 26 | 662 | 66 | 137 | 203 | 67 | - | 28 | 53 | 0.5 | 33 | 11 |
S Dixon | Atlantic Cape | 19 | 19 | 19 | 10 | 37 | 47 | 3 | - | 36 | 0 | - | 25 | 2 |
P Doboul | Minnesota North College - Itasca | 7 | 1 | 13 | 0 | 4 | 4 | 1 | - | 0 | 0 | - | 1 | 1 |
S Dolgos | Onondaga | 20 | - | 196 | 4 | 12 | 16 | 8 | 0 | 15 | 15 | 1.0 | 6 | 0 |
F Dominguez | Bronx | 19 | - | 112 | 4 | 8 | 12 | 9 | 0 | 9 | 11 | 0.8 | 11 | 0 |
B Dong | UConn Avery Point | 25 | 2 | 25 | 0 | 8 | 8 | 8 | - | 10 | 35 | 0.3 | 6 | 1 |
I Donzo | Dallas College - Richland | 30 | 30 | 108 | 98 | 168 | 266 | 55 | 4 | 28 | 28 | 1.0 | 14 | 24 |
S Dorissaint | CT State | 6 | 6 | 6 | 34 | 43 | 77 | 18 | 1 | 8 | 14 | 0.6 | 6 | 9 |
B Dorney | Sussex County | 15 | - | 15 | 5 | 2 | 7 | 3 | - | 1 | 0 | - | 0 | 0 |
P Dorrian | Herkimer | 10 | 2 | 9 | 9 | 13 | 22 | 1 | - | 18 | 8 | 2.3 | 6 | 0 |
R Dorziere | SUNY Broome | - | - | - | - | - | - | - | - | - | - | - | - | - |
G Dotson | Caldwell Tech | 20 | 6 | 48 | 40 | 51 | 91 | 7 | - | 0 | 17 | 0.0 | 7 | 16 |
M Douglas | SUNY-Delhi | 30 | 20 | 52 | 52 | 89 | 141 | 67 | 2 | 8 | 30 | 0.3 | 9 | 30 |
P Douglas | Bunker Hill | 13 | 8 | 365 | 25 | 50 | 75 | 20 | 1 | 19 | 23 | 0.8 | 10 | 9 |
S Dowe | SUNY Adirondack | 25 | 18 | 100 | 88 | 147 | 235 | 73 | 4 | 37 | 16 | 2.3 | 22 | 16 |
D Drexler | Mohawk Valley | 31 | 22 | 431 | 40 | 94 | 134 | 51 | 1 | 5 | 12 | 0.4 | 15 | 11 |
A Driessen | Fox Valley Technical | - | - | - | - | - | - | - | - | - | - | - | - | - |
N Driscoll | Quinsigamond | 6 | - | 43 | 4 | 5 | 9 | 6 | - | 1 | 2 | 0.5 | 2 | 0 |
C Drumgold | Bronx | 7 | - | 25 | 1 | 4 | 5 | 3 | - | 0 | 1 | 0.0 | 1 | 0 |
M Dryden | Lehigh Carbon | 28 | 25 | 537 | 43 | 48 | 91 | 50 | 1 | 50 | 43 | 1.2 | 18 | 23 |
J Dryer | Central Lakes | 30 | - | 436 | 4 | 34 | 38 | 43 | - | 18 | 25 | 0.7 | 15 | 3 |
M Dudley | Delaware County | 29 | 24 | 91 | 54 | 119 | 173 | 51 | 1 | 24 | 43 | 0.6 | 18 | 7 |
B Dukes | Fulton-Montgomery | 4 | 1 | 31 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 0.0 | 0 | 0 |
A Dunbar | Milwaukee Area Tech | 29 | 20 | 620 | 75 | 112 | 187 | 73 | 1 | 24 | 64 | 0.4 | 25 | 14 |
G Duncan | Thaddeus Stevens Tech | 21 | - | 21 | 0 | 17 | 17 | 18 | 1 | 19 | 23 | 0.8 | 6 | 0 |
P Dunlap | DuPage | 29 | 21 | 645 | 37 | 59 | 96 | 55 | 0 | 44 | 50 | 0.9 | 35 | 6 |
N Durant | Union | 28 | 20 | 85 | 29 | 71 | 100 | 21 | 1 | 108 | 53 | 2.0 | 47 | 1 |
R Durham | CT State | 9 | - | 8 | 4 | 5 | 9 | 10 | 0 | 2 | 3 | 0.7 | 5 | 1 |
A Dyson | Rock Valley | 13 | 8 | 283 | 35 | 49 | 84 | 20 | 0 | 8 | 18 | 0.4 | 16 | 21 |
B Eason | Lincoln New England | 9 | - | 120 | 7 | 14 | 21 | 22 | - | 3 | 5 | 0.6 | 3 | 7 |
B Easter | Davidson-Davie | 27 | 4 | 288 | 19 | 51 | 70 | 28 | - | 18 | 25 | 0.7 | 5 | 5 |
C Ebele | Bunker Hill | 26 | 21 | 756 | 69 | 131 | 200 | 32 | 1 | 10 | 36 | 0.3 | 2 | 37 |
J Eberhart | Atlantic Cape | 21 | 13 | 21 | 38 | 78 | 116 | 3 | - | 8 | 0 | - | 14 | 17 |
A Ebouki | Jefferson (NY) | 15 | 3 | 202 | 32 | 54 | 86 | 33 | 0 | 8 | 10 | 0.8 | 6 | 16 |
R Echols | Finger Lakes | 5 | 3 | 79 | 4 | 12 | 16 | 9 | - | 7 | 9 | 0.8 | 5 | 0 |
J Eddington III | Tompkins Cortland | 18 | 7 | 288 | 43 | 66 | 109 | 25 | 0 | 8 | 28 | 0.3 | 11 | 9 |
N Edmonds | Union | 12 | 10 | 12 | 12 | 34 | 46 | 2 | - | 29 | 9 | 3.2 | 10 | 1 |
A Edwards | Passaic County | 1 | - | 1 | 0 | 1 | 1 | 0 | - | 1 | 1 | 1.0 | 0 | 0 |
C Edwards | Union | 21 | 18 | 48 | 14 | 40 | 54 | 17 | 0 | 74 | 20 | 3.7 | 48 | 5 |
E Edwards | Fulton-Montgomery | 2 | - | 1 | 0 | 0 | 0 | 0 | - | 1 | 0 | - | 0 | 0 |
J Edwards | Columbia-Greene | 29 | 21 | 632 | 20 | 83 | 103 | 73 | - | 58 | 85 | 0.7 | 40 | 8 |
J Edwards | DuPage | 25 | 2 | 207 | 10 | 12 | 22 | 23 | 0 | 18 | 15 | 1.2 | 8 | 1 |
M Edwards | Fulton-Montgomery | 4 | 4 | 102 | 0 | 11 | 11 | 5 | 0 | 3 | 2 | 1.5 | 5 | 0 |
R Edwards | Westmoreland | 24 | 22 | 214 | 32 | 80 | 112 | 29 | 0 | 46 | 71 | 0.6 | 17 | 8 |
S Egedi | Camden County | 26 | 24 | 26 | 0 | 117 | 117 | 67 | 5 | 33 | 2 | 16.5 | 11 | 77 |
J Elder | Union | 24 | 6 | 33 | 15 | 44 | 59 | 4 | 0 | 30 | 26 | 1.2 | 15 | 5 |
O Ellefson | Northland | 26 | 22 | 614 | 8 | 33 | 41 | 32 | - | 32 | 48 | 0.7 | 16 | 2 |
J Ellis Williams | MassBay | 26 | 12 | 85 | 42 | 118 | 160 | 56 | 1 | 30 | 68 | 0.4 | 12 | 3 |
B Ellis | LaGuardia | 26 | 22 | 156 | 17 | 70 | 87 | 71 | 2 | 97 | 52 | 1.9 | 42 | 1 |
D Ellis | DuPage | 7 | 1 | 35 | 1 | 2 | 3 | 2 | 0 | 4 | 4 | 1.0 | 0 | 0 |
D Ellis | RCSJ Gloucester | 16 | 1 | 157 | 16 | 40 | 56 | 25 | - | 7 | 8 | 0.9 | 11 | 2 |
M Ellis | Bucks County | 8 | 2 | 8 | 1 | 41 | 42 | 22 | 1 | 25 | 37 | 0.7 | 9 | 4 |
N Ellis | Westmoreland | 26 | 13 | 202 | 25 | 66 | 91 | 55 | 2 | 81 | 37 | 2.2 | 29 | 10 |
J Elmendorf | Columbia-Greene | 18 | 1 | 354 | 18 | 52 | 70 | 18 | - | 17 | 18 | 0.9 | 14 | 9 |
N Emge | Riverland | 27 | 21 | 530 | 17 | 55 | 72 | 42 | - | 34 | 29 | 1.2 | 13 | 2 |
K Encarnacion | Middlesex College | 4 | - | 4 | 1 | 2 | 3 | 0 | - | 0 | 5 | 0.0 | 2 | 0 |
K England | Jefferson (NY) | 9 | - | 96 | 4 | 2 | 6 | 11 | 1 | 6 | 3 | 2.0 | 1 | 1 |
B Enkh-Ulzii | Harper | 21 | 6 | 182 | 4 | 10 | 14 | 7 | 0 | 3 | 4 | 0.8 | 6 | 2 |
D Epperson | CC of Allegheny County | 11 | 11 | 304 | 18 | 48 | 66 | 30 | 1 | 76 | 30 | 2.5 | 17 | 1 |
A Epps | Madison | 29 | 29 | 693 | 29 | 82 | 111 | 36 | 0 | 64 | 55 | 1.2 | 28 | 7 |
B Ervin | Dallas College - Brookhaven | 31 | 16 | 514 | 18 | 58 | 76 | 0 | - | 90 | 44 | 2.0 | 49 | 2 |
J Escobar | Northampton | 26 | 20 | 54 | 54 | 125 | 179 | 72 | 4 | 73 | 56 | 1.3 | 29 | 11 |
J Estrella | Bronx | 11 | - | 93 | 7 | 12 | 19 | 9 | - | 1 | 9 | 0.1 | 2 | 2 |
T Etheridge | West Georgia Tech | 27 | 9 | 536 | 16 | 54 | 70 | 76 | 4 | 54 | 34 | 1.6 | 23 | 4 |
A Etienne | Union | 28 | 28 | 81 | 95 | 142 | 237 | 25 | 0 | 39 | 46 | 0.8 | 30 | 22 |
J Evans | Atlantic Cape | 1 | - | 1 | 2 | 2 | 4 | 0 | - | 0 | 0 | - | 0 | 0 |
T Evans | Rock Valley | 10 | 3 | 140 | 17 | 23 | 40 | 19 | 0 | 2 | 12 | 0.2 | 5 | 11 |
D Evens | DuPage | 2 | - | 6 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | - | 0 | 0 |
T Everetts | Luzerne County | 22 | 12 | 22 | 15 | 20 | 35 | 41 | 1 | 15 | 15 | 1.0 | 11 | 0 |
B Ezema | Oxford Emory | 28 | 2 | 484 | 50 | 53 | 103 | 49 | - | 17 | 36 | 0.5 | 23 | 2 |
L Fairbanks | Minnesota North College - Itasca | 26 | 15 | 259 | 42 | 37 | 79 | 43 | 2 | 8 | 34 | 0.2 | 3 | 8 |
D Fair | Milwaukee Area Tech | 27 | 19 | 451 | 6 | 29 | 35 | 45 | 0 | 62 | 49 | 1.3 | 22 | 0 |
L Faison | Mohawk Valley | - | - | - | - | - | - | - | - | - | - | - | - | - |
B Fanslau | UConn Avery Point | 1 | - | 1 | 0 | 0 | 0 | 0 | - | 0 | 0 | - | 0 | 0 |
C Farabaugh | Pennsylvania Highlands | 18 | 1 | 19 | 1 | 5 | 6 | 1 | - | 1 | 9 | 0.1 | 0 | 0 |
D Farmer Jr. | Dallas College - Cedar Valley | 10 | - | 10 | 4 | 9 | 13 | 0 | - | 5 | 4 | 1.3 | 4 | 0 |
S Faulkner | Allegheny County-Boyce | 24 | 24 | 804 | 8 | 2 | 10 | 6 | - | 1 | 15 | 0.1 | 4 | 0 |
A Faust | Finger Lakes | 11 | - | 154 | 5 | 16 | 21 | 14 | - | 10 | 8 | 1.3 | 6 | 6 |
T Favors | West Georgia Tech | 27 | 4 | 358 | 22 | 50 | 72 | 46 | - | 11 | 22 | 0.5 | 36 | 2 |
T Fearon | Cayuga | 24 | 18 | 122 | 33 | 70 | 103 | 60 | 2 | 25 | 45 | 0.6 | 21 | 8 |
M Feliciano P | Kingsborough | 21 | 4 | 62 | 8 | 47 | 55 | 31 | 2 | 70 | 45 | 1.6 | 13 | 0 |
R Felix | RCSJ Gloucester | 11 | 1 | 79 | 6 | 11 | 17 | 9 | 1 | 5 | 6 | 0.8 | 1 | 2 |
D Fennell | Pennsylvania Highlands | 22 | 21 | 57 | 73 | 171 | 244 | 55 | - | 46 | 57 | 0.8 | 40 | 18 |
X Ferguson | Corning | 5 | - | 5 | 0 | 2 | 2 | 2 | - | 0 | 0 | - | 1 | 0 |
M Fernandez | Quinsigamond | 10 | 4 | 189 | 19 | 14 | 33 | 26 | - | 10 | 10 | 1.0 | 7 | 9 |
T Ferrara-Zelman | MassBay | 24 | 2 | 42 | 13 | 40 | 53 | 38 | - | 10 | 23 | 0.4 | 2 | 1 |
N Filippi | Onondaga | 12 | - | 75 | 0 | 2 | 2 | 7 | 0 | 8 | 7 | 1.1 | 5 | 0 |
A Fisher | Minnesota North College - Hibbing | 27 | 27 | 833 | 84 | 217 | 301 | 67 | 1 | 23 | 68 | 0.3 | 13 | 9 |
A Fitzpatrick | Lorain County | 29 | 2 | 259 | 27 | 33 | 60 | 33 | 1 | 9 | 19 | 0.5 | 16 | 3 |
D Flores | Harrisburg Area | 23 | 13 | 23 | 44 | 87 | 131 | 84 | 5 | 21 | 44 | 0.5 | 16 | 16 |
Z Flowers | Jefferson (NY) | 5 | - | 110 | 10 | 12 | 22 | 13 | - | 7 | 11 | 0.6 | 9 | 2 |
D Floyd | Wytheville | - | - | - | - | - | - | - | - | - | - | - | - | - |
M Fofana | RCSJ Cumberland | 13 | 1 | 13 | 4 | 14 | 18 | 8 | - | 8 | 2 | 4.0 | 2 | 3 |
J Folks | Hostos | 27 | 1 | 65 | 13 | 33 | 46 | 22 | 0 | 3 | 4 | 0.8 | 5 | 25 |
A Ford | CT State | 19 | 6 | 26 | 36 | 46 | 82 | 54 | 2 | 59 | 37 | 1.6 | 39 | 6 |
K Ford | RCSJ Cumberland | 29 | 25 | 29 | 28 | 58 | 86 | 53 | - | 68 | 59 | 1.2 | 31 | 8 |
P Fortes | Columbia-Greene | 27 | 24 | 810 | 9 | 70 | 79 | 50 | 1 | 57 | 69 | 0.8 | 41 | 4 |
C Foster | Dallas College - Mountain View | 17 | - | 205 | 3 | 12 | 15 | 14 | - | 6 | 12 | 0.5 | 7 | 3 |
M Foster | North Country | 1 | - | 1 | 0 | 1 | 1 | 0 | - | 1 | 1 | 1.0 | 0 | 0 |
J Francis | Dallas College - Richland | 20 | - | 21 | 2 | 17 | 19 | 18 | 0 | 9 | 9 | 1.0 | 7 | 0 |
J Franz | Minnesota North College - Rainy River | 17 | 1 | 70 | 5 | 14 | 19 | 9 | - | 3 | 7 | 0.4 | 0 | 2 |
J Frazier | Dallas College - Eastfield | 13 | - | 13 | 1 | 1 | 2 | 0 | - | 2 | 1 | 2.0 | 4 | 1 |
R Fred | Johnson | 11 | 4 | 256 | 7 | 20 | 27 | 21 | - | 24 | 35 | 0.7 | 24 | 4 |
G Freeman | Sussex County | 26 | - | 26 | 21 | 60 | 81 | 58 | 3 | 42 | 48 | 0.9 | 19 | 2 |
J French | Allegheny County-Boyce | 6 | 1 | 83 | 3 | 2 | 5 | 4 | - | 4 | 0 | - | 3 | 0 |
J Frith | Mohawk Valley | 28 | 16 | 382 | 32 | 87 | 119 | 36 | 0 | 5 | 10 | 0.5 | 10 | 14 |
J Fritz | Kingsborough | 8 | - | 9 | 8 | 8 | 16 | 6 | 0 | 1 | 2 | 0.5 | 0 | 4 |
B Fulmore | Philadelphia | 31 | 22 | 604 | 40 | 105 | 145 | 77 | 1 | 74 | 69 | 1.1 | 54 | 13 |
K Fulton | Finger Lakes | 18 | - | 97 | 8 | 15 | 23 | 9 | 0 | 11 | 12 | 0.9 | 2 | 1 |
M Fundingsland | Oxford Emory | 16 | 9 | 307 | 14 | 36 | 50 | 34 | - | 36 | 24 | 1.5 | 18 | 0 |
S Gabbidon | Nassau | 15 | - | 16 | 1 | 3 | 4 | 6 | - | 4 | 9 | 0.4 | 1 | 0 |
E Gainor | Montgomery County | 7 | - | 58 | 4 | 5 | 9 | 7 | - | 5 | 11 | 0.5 | 3 | 0 |
J Galay | Herkimer | 32 | 25 | 131 | 25 | 47 | 72 | 12 | 0 | 75 | 50 | 1.5 | 19 | 3 |
J Galloway | Rochester | 27 | 24 | 643 | 62 | 71 | 133 | 55 | 0 | 84 | 40 | 2.1 | 41 | 10 |
J Gambrel | Minnesota State | 23 | 8 | 431 | 9 | 24 | 33 | 31 | - | 19 | 38 | 0.5 | 10 | 0 |
B Garcia | Dutchess | 27 | 19 | 36 | 23 | 35 | 58 | 43 | 0 | 33 | 86 | 0.4 | 30 | 3 |
E Garcia | Bergen | 25 | - | 25 | 8 | 38 | 46 | 29 | - | 77 | 48 | 1.6 | 34 | 0 |
F Garcia | Holyoke | - | - | - | - | - | - | - | - | - | - | - | - | - |
A Gardiner | Ulster County | 8 | - | 14 | 2 | 4 | 6 | 4 | 0 | 2 | 6 | 0.3 | 0 | 1 |
C Gardner | Holyoke | - | - | - | - | - | - | - | - | - | - | - | - | - |
J Gardner | Kingsborough | 4 | - | 3 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | - | 0 | 0 |
J Gardner | Suffolk County | 24 | 19 | 47 | 14 | 53 | 67 | 53 | 0 | 103 | 89 | 1.2 | 24 | 1 |
K Gardner | LaGuardia | 27 | 15 | 143 | 36 | 86 | 122 | 46 | 0 | 73 | 73 | 1.0 | 30 | 17 |
T Garland | Schenectady County | 22 | 21 | 430 | 5 | 12 | 17 | 4 | 0 | 16 | 14 | 1.1 | 7 | 0 |
P Garrett | Joliet | 27 | - | 277 | 12 | 25 | 37 | 19 | - | 24 | 26 | 0.9 | 13 | 0 |
T Gary | Caldwell Tech | 25 | 13 | 98 | 57 | 98 | 155 | 21 | 1 | 14 | 23 | 0.6 | 25 | 24 |
D Gates-Washington | Rochester | 15 | - | 71 | 6 | 10 | 16 | 6 | 0 | 7 | 9 | 0.8 | 1 | 0 |
D Gatling | Joliet | 13 | - | 121 | 22 | 24 | 46 | 23 | - | 0 | 9 | 0.0 | 2 | 1 |
M Gatlin | Harper | 31 | 22 | 778 | 33 | 74 | 107 | 82 | 0 | 80 | 77 | 1.0 | 33 | 3 |
J Gause | Lincoln New England | 22 | 22 | 462 | 70 | 129 | 199 | 80 | 5 | 14 | 29 | 0.5 | 18 | 96 |
W Gay | Brookdale | 12 | 1 | 29 | 11 | 31 | 42 | 23 | - | 6 | 14 | 0.4 | 5 | 2 |
M Geiman | Northland | 26 | 4 | 408 | 22 | 38 | 60 | 32 | - | 8 | 17 | 0.5 | 3 | 3 |
S Geistfeld | Ridgewater | 5 | 1 | 9 | 0 | 1 | 1 | 0 | - | 1 | 0 | - | 0 | 0 |
J Genuardi | Sussex County | 27 | - | 27 | 2 | 5 | 7 | 3 | - | 2 | 2 | 1.0 | 0 | 0 |
T Gernaat | Mid Michigan | 27 | 27 | 270 | 36 | 100 | 136 | 53 | 1 | 30 | 31 | 1.0 | 32 | 9 |
K Geschwill | Central Lakes | 19 | - | 135 | 5 | 19 | 24 | 14 | - | 2 | 7 | 0.3 | 7 | 4 |
S Gibbons | SUNY Broome | 14 | 1 | 55 | 10 | 11 | 21 | 16 | 0 | 7 | 5 | 1.4 | 3 | 2 |
C Gibson | North Country | 4 | 1 | 15 | 5 | 5 | 10 | 1 | 0 | 6 | 6 | 1.0 | 4 | 0 |
J Giddings | Philadelphia | 14 | 1 | 180 | 9 | 18 | 27 | 34 | - | 27 | 13 | 2.1 | 23 | 2 |
K Giddings | Fulton-Montgomery | 3 | 3 | 58 | 5 | 8 | 13 | 8 | 0 | 0 | 3 | 0.0 | 0 | 0 |
A Gil | Bergen | 2 | - | 2 | 3 | 1 | 4 | 4 | - | 5 | 1 | 5.0 | 2 | 0 |
I Gilbertson | Western Tech | 26 | 9 | 539 | 10 | 37 | 47 | 41 | - | 22 | 37 | 0.6 | 15 | 1 |
E Gill | Queensborough | 13 | - | 13 | 1 | 4 | 5 | 2 | - | 3 | 2 | 1.5 | 2 | 0 |
M Gilliam | Johnson | 28 | 28 | 917 | 20 | 129 | 149 | 65 | 0 | 132 | 118 | 1.1 | 57 | 11 |