Name | g | ab | r | h | 2b | 3b | hr | rbi | bb | k | sb | cs | avg | obp | slg | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T Abell | Minnesota North College - Hibbing | 5 | 4 | 1 | 1 | - | - | - | 0 | - | - | - | - | .250 | .400 | .250 |
T Abney | Tyler | 28 | 57 | 6 | 16 | 2 | - | - | 7 | 8 | 14 | 1 | - | .281 | .377 | .316 |
S Abreu | Middlesex College | 39 | 143 | 33 | 43 | 6 | 2 | - | 12 | 19 | 32 | 6 | 3 | .301 | .387 | .371 |
T Absher | Minnesota North College - Hibbing | 14 | 28 | 6 | 7 | - | - | - | 4 | 3 | 2 | 1 | - | .250 | .364 | .250 |
G Acosta | SUNY Adirondack | 36 | 97 | 25 | 28 | 5 | - | 2 | 23 | 13 | 15 | 7 | 1 | .289 | .378 | .402 |
I Acosta | Bergen | 34 | 84 | 20 | 29 | 4 | 2 | 2 | 18 | 11 | 17 | 5 | 2 | .345 | .427 | .512 |
A Adams | Prince George's | 38 | 140 | 46 | 46 | 11 | 4 | 1 | 27 | 13 | 22 | 14 | 1 | .329 | .391 | .486 |
J Adamson | Butler County | 6 | 12 | 2 | 2 | - | - | - | 3 | 1 | 3 | - | - | .167 | .231 | .167 |
Z Adams | Dallas College - Richland | 11 | 30 | 4 | 8 | - | - | - | 3 | 2 | 7 | - | - | .267 | .313 | .267 |
L Adelman | Minnesota North College - Vermilion | 25 | 81 | 22 | 34 | 6 | 1 | 6 | 30 | 12 | 10 | 0 | 0 | .420 | .489 | .741 |
A Agne | Joliet | 44 | 167 | 45 | 69 | 14 | 3 | 2 | 33 | 10 | 23 | 7 | 0 | .413 | .476 | .569 |
E Agostini | RCSJ Cumberland | 18 | 38 | 9 | 11 | - | - | - | 14 | 5 | 6 | 1 | - | .289 | .413 | .289 |
L Aguilar | Dallas College - Cedar Valley | 25 | 77 | 9 | 21 | 4 | 1 | 3 | 16 | 11 | 25 | 1 | - | .273 | .385 | .468 |
L Aguinaga | Minnesota North College - Hibbing | 24 | 62 | 13 | 26 | 7 | 1 | 1 | 15 | 13 | 5 | 1 | - | .419 | .526 | .613 |
M Ahmad | Montgomery County | 15 | 53 | 11 | 14 | 4 | - | - | 8 | 6 | 7 | 2 | 1 | .264 | .350 | .340 |
M Airey | Camden County | 10 | 11 | 1 | 1 | - | - | - | 1 | 1 | 2 | - | - | .091 | .167 | .091 |
N Airola | Joliet | 27 | 69 | 6 | 13 | 4 | 1 | 0 | 10 | 6 | 19 | 1 | 0 | .188 | .253 | .275 |
A Alarcon | Bergen | 38 | 112 | 36 | 46 | 9 | 1 | 3 | 34 | 23 | 13 | 9 | 5 | .411 | .525 | .589 |
R Alberto | Bronx | 24 | 58 | 17 | 21 | 3 | - | 2 | 19 | 9 | 14 | 1 | 1 | .362 | .457 | .517 |
R Alcala | Dallas College - Brookhaven | 25 | 21 | 6 | 7 | 1 | 0 | 1 | 5 | 2 | 4 | 0 | 0 | .333 | .391 | .524 |
D Aldamuy | Monroe College - Bronx | 4 | 4 | 0 | 1 | - | - | - | 0 | - | 1 | - | - | .250 | .250 | .250 |
C Aldridge | Rockingham | 45 | 143 | 41 | 49 | 8 | 1 | 2 | 27 | 29 | 18 | 13 | 3 | .343 | .457 | .455 |
L Aleshire | St. Cloud Tech | 29 | 99 | 21 | 31 | 7 | - | 2 | 26 | 14 | 15 | - | 1 | .313 | .398 | .444 |
K Alicea | Minnesota North College - Rainy River | 33 | 110 | 15 | 39 | 7 | - | 1 | 22 | 6 | 20 | - | - | .355 | .387 | .445 |
S Alicea | Prince George's | 24 | 69 | 17 | 17 | 5 | - | 2 | 14 | 15 | 36 | - | - | .246 | .402 | .406 |
C Allen | Dallas College - Mountain View | 3 | 5 | 0 | 0 | - | - | - | 0 | 1 | 3 | - | - | .000 | .167 | .000 |
G Allen | Corning | 12 | 19 | 1 | 1 | - | - | - | 0 | 1 | 4 | - | - | .053 | .143 | .053 |
J Allen | Corning | 37 | 91 | 11 | 23 | 6 | 1 | 1 | 9 | 18 | 24 | - | - | .253 | .398 | .374 |
T Allen | Minnesota North College - Mesabi Range | 24 | 55 | 6 | 12 | 3 | 0 | 1 | 4 | 2 | 16 | 0 | 0 | .218 | .267 | .327 |
J Almanzar | Bronx | 35 | 113 | 37 | 38 | 5 | 1 | 4 | 26 | 21 | 15 | 14 | 5 | .336 | .450 | .504 |
A Almonte | Kingsborough | 20 | 36 | 8 | 8 | 2 | - | - | 7 | 4 | 20 | 5 | - | .222 | .326 | .278 |
A Almonte | Northern Essex | 32 | 111 | 44 | 47 | 11 | 2 | 5 | 33 | 20 | 26 | 13 | 1 | .423 | .522 | .694 |
K Almonte | Bronx | 32 | 87 | 20 | 21 | 1 | - | - | 21 | 16 | 36 | 7 | 1 | .241 | .361 | .253 |
B Alsup | Rock Valley | 40 | 101 | 25 | 33 | 12 | - | - | 23 | 18 | 28 | 10 | 3 | .327 | .430 | .446 |
A Alvarez | Riverland | 5 | 11 | 4 | 1 | 1 | - | - | 1 | 1 | 2 | - | - | .091 | .154 | .182 |
J Amore | Western Tech | 14 | 34 | 1 | 5 | 1 | 0 | 0 | 3 | 3 | 13 | 0 | 0 | .147 | .237 | .176 |
C Amparo | Montgomery | 22 | 30 | 4 | 2 | - | - | - | 2 | 10 | 5 | 2 | - | .067 | .300 | .067 |
W Andress | Century | 7 | 9 | 2 | 3 | 0 | 1 | 0 | 5 | 1 | 2 | 1 | 0 | .333 | .400 | .556 |
N Andrews | Massasoit | 30 | 111 | 41 | 40 | 11 | 1 | 2 | 35 | 13 | 10 | 4 | - | .360 | .435 | .532 |
A Angelino | RCSJ Gloucester | 57 | 202 | 41 | 78 | 14 | - | 4 | 63 | 15 | 23 | - | 2 | .386 | .424 | .515 |
N Angstadt | Camden County | 40 | 126 | 31 | 41 | 6 | 2 | 1 | 29 | 9 | 14 | 9 | 5 | .325 | .393 | .429 |
J Aponte | Queensborough | 10 | 13 | 1 | 3 | - | - | - | 0 | 5 | 8 | - | - | .231 | .444 | .231 |
A Applebee | Waubonsee | 26 | 69 | 10 | 15 | 4 | 3 | - | 14 | 9 | 34 | 4 | 2 | .217 | .321 | .362 |
W Arias | Erie | 26 | 53 | 9 | 12 | 5 | - | 1 | 9 | 3 | 20 | - | - | .226 | .281 | .377 |
W Arias | Erie | 12 | 7 | 1 | 1 | 1 | - | - | 0 | 3 | 1 | - | 1 | .143 | .400 | .286 |
J Arietta | Dallas College - North Lake | 30 | 100 | 24 | 33 | 5 | 3 | 1 | 17 | 4 | 24 | 4 | - | .330 | .422 | .470 |
C Arlt | Minnesota State | 22 | 53 | 14 | 16 | 1 | - | - | 8 | 13 | 9 | 1 | 1 | .302 | .542 | .321 |
A Arnold | Tyler | 27 | 91 | 25 | 29 | 6 | 1 | 4 | 19 | 11 | 30 | 10 | 0 | .319 | .394 | .538 |
L Arnold | Minnesota State | 16 | 23 | 3 | 6 | - | - | - | 4 | 3 | 8 | - | - | .261 | .346 | .261 |
D Arroyo | Corning | 10 | 2 | 0 | 1 | - | - | - | 0 | - | 1 | - | - | .500 | .500 | .500 |
J Arroyo | Bucks County | 18 | 51 | 5 | 18 | 1 | - | - | 5 | 5 | 10 | 3 | - | .353 | .443 | .373 |
L Arroyo | Minnesota North College - Hibbing | 6 | 2 | 0 | 0 | - | - | - | 0 | - | 2 | - | - | .000 | .000 | .000 |
S Arsenault | MassBay | 6 | 12 | 2 | 1 | - | - | - | 0 | 1 | 6 | - | - | .083 | .154 | .083 |
C Arteaga | Rock Valley | 55 | 177 | 42 | 69 | 17 | 1 | 5 | 45 | 20 | 25 | 6 | 1 | .390 | .463 | .582 |
J Arteaga | Century | 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | .500 | .500 | .500 |
L Asano | Queensborough | 3 | 1 | 0 | 1 | - | - | - | 0 | - | - | - | - | 1.000 | 1.000 | 1.000 |
D Asencio | Queensborough | 10 | 27 | 8 | 8 | 2 | - | - | 7 | 5 | 10 | 1 | - | .296 | .406 | .370 |
E Assogna | Brookdale | 24 | 58 | 17 | 17 | 4 | - | - | 7 | 10 | 17 | - | 1 | .293 | .423 | .362 |
C Astoske | Queensborough | 33 | 98 | 21 | 31 | 7 | - | 1 | 17 | 14 | 16 | 9 | 3 | .316 | .404 | .418 |
B Auckerman | Westmoreland | 30 | 93 | 18 | 29 | 6 | 2 | 1 | 21 | 4 | 10 | 4 | - | .312 | .363 | .452 |
A Azor | Minnesota North College - Itasca | 41 | 156 | 50 | 65 | 21 | 3 | 4 | 46 | 19 | 13 | 13 | 2 | .417 | .478 | .667 |
A Babcock | Tompkins Cortland | 37 | 124 | 35 | 43 | 7 | 3 | 1 | 22 | 13 | 18 | 8 | - | .347 | .423 | .476 |
A Bacon | Illinois Valley | 36 | 87 | 18 | 32 | 2 | - | - | 24 | 10 | 9 | 6 | - | .368 | .433 | .391 |
Z Baden | Rock Valley | 38 | 96 | 41 | 30 | 3 | - | - | 18 | 27 | 18 | 21 | 5 | .313 | .460 | .344 |
L Badillo | Virginia Peninsula | 23 | 72 | 16 | 28 | 2 | - | - | 4 | 9 | 9 | 14 | 3 | .389 | .476 | .417 |
S Baez | Manor | 21 | 75 | 17 | 20 | 4 | - | 2 | 18 | 14 | 18 | 3 | 1 | .267 | .389 | .400 |
R Baglivo | RCSJ Gloucester | 4 | 5 | 0 | 1 | 1 | - | - | 1 | - | - | - | - | .200 | .200 | .400 |
J Baker | Minnesota North College - Itasca | 39 | 120 | 26 | 38 | 6 | - | 1 | 27 | 25 | 13 | 4 | 3 | .317 | .432 | .392 |
R Baker | Mohawk Valley | 20 | 22 | 1 | 2 | - | - | - | 1 | 2 | 10 | - | - | .091 | .167 | .091 |
B Bakos | Delta | 28 | 64 | 6 | 16 | 4 | - | 1 | 8 | 5 | 22 | - | 1 | .250 | .304 | .359 |
S Balian | Northern Essex | 29 | 88 | 26 | 29 | 7 | - | - | 20 | 15 | 37 | 7 | - | .330 | .454 | .409 |
N Balitsos | Bergen | 17 | 23 | 4 | 6 | 1 | - | - | 5 | 4 | 6 | 1 | - | .261 | .357 | .304 |
S Ballano | Rock Valley | 56 | 188 | 38 | 58 | 8 | 1 | 2 | 29 | 31 | 19 | 19 | 5 | .309 | .423 | .394 |
A Ballard | SUNY Adirondack | 8 | 6 | 0 | 1 | 1 | - | - | 1 | 2 | 2 | - | 1 | .167 | .375 | .333 |
N Balley | Dallas College - Cedar Valley | 45 | 172 | 47 | 54 | 16 | 3 | 4 | 24 | 23 | 38 | 6 | - | .314 | .401 | .512 |
K Balmer | SUNY Broome | 28 | 90 | 15 | 28 | 6 | 1 | - | 17 | 5 | 7 | 15 | 2 | .311 | .370 | .400 |
J Baly | Genesee | 37 | 107 | 26 | 39 | 10 | 4 | - | 11 | 6 | 11 | 5 | 2 | .364 | .424 | .533 |
J Barasch | Kingsborough | 17 | 18 | 4 | 4 | 1 | - | - | 4 | 3 | 7 | 1 | - | .222 | .364 | .278 |
P Baratta | Suffolk County | 13 | 15 | 2 | 3 | - | - | - | 4 | 4 | 2 | 1 | - | .200 | .368 | .200 |
B Barbay | Dallas College - Richland | 42 | 161 | 55 | 60 | 15 | 2 | 4 | 35 | 25 | 25 | 2 | - | .373 | .493 | .565 |
J Barberio | SUNY Niagara | 39 | 97 | 37 | 35 | 7 | - | 7 | 37 | 19 | 24 | 4 | - | .361 | .504 | .649 |
D Barbetti | Ocean County | 45 | 147 | 38 | 53 | 17 | 1 | 1 | 35 | 32 | 27 | 13 | - | .361 | .481 | .510 |
B Barker | Fulton-Montgomery | 25 | 68 | 16 | 19 | 9 | - | - | 18 | 11 | 13 | 1 | - | .279 | .407 | .412 |
J Barker | Minnesota West | 22 | 25 | 1 | 4 | - | - | - | 3 | 4 | 7 | 4 | - | .160 | .300 | .160 |
J Barnes | MassBay | 14 | 23 | 1 | 0 | - | - | - | 0 | 5 | 21 | - | - | .000 | .207 | .000 |
J Barnes | Dallas College - Mountain View | 16 | 3 | 1 | 0 | - | - | - | 0 | - | 2 | - | - | .000 | .250 | .000 |
J Barrios | Lorain County | 37 | 124 | 44 | 48 | 14 | 4 | 1 | 35 | 22 | 11 | 15 | 5 | .387 | .487 | .589 |
M Barry | Central Lakes | 30 | 89 | 13 | 21 | 6 | - | 3 | 12 | 8 | 30 | 3 | - | .236 | .327 | .404 |
D Barton | Montgomery | 4 | 10 | 2 | 4 | - | - | - | 2 | 1 | 1 | 1 | - | .400 | .500 | .400 |
B Batista | Brookdale | 3 | 9 | 1 | 2 | - | - | - | 1 | 1 | 4 | - | - | .222 | .300 | .222 |
J Batista | Borough of Manhattan | 10 | 9 | 3 | 3 | - | - | - | 5 | 5 | 5 | 3 | 1 | .333 | .625 | .333 |
R Baughman | DuPage | 14 | 31 | 5 | 8 | 1 | 0 | 0 | 3 | 8 | 10 | 1 | 0 | .258 | .432 | .290 |
M Bautista | Bronx | 22 | 47 | 10 | 13 | 2 | - | 2 | 13 | 9 | 18 | 1 | 1 | .277 | .404 | .447 |
S Bazyk | Corning | 2 | 0 | 0 | 0 | - | - | - | 0 | 1 | - | - | - | - | 1.000 | - |
T Beacham | Dallas College - Cedar Valley | 13 | 19 | 6 | 3 | - | - | 1 | 5 | 6 | 4 | - | - | .158 | .360 | .316 |
C Beach | Onondaga | 4 | 1 | 0 | 0 | - | - | - | 0 | - | 1 | - | 1 | .000 | .000 | .000 |
S Beadle | Onondaga | 5 | 3 | 0 | 1 | - | - | - | 0 | - | - | - | - | .333 | .333 | .333 |
R Becker | Waubonsee | 23 | 59 | 12 | 18 | 1 | - | - | 12 | 4 | 9 | 2 | 3 | .305 | .368 | .322 |
D Behling | Rock Valley | 51 | 143 | 40 | 53 | 12 | 1 | 7 | 32 | 18 | 22 | 8 | 6 | .371 | .465 | .615 |
B Belezos | Massasoit | 8 | 13 | 1 | 4 | 1 | - | - | 1 | - | 3 | - | - | .308 | .357 | .385 |
D Beliles | Minnesota State | 13 | 26 | 2 | 4 | - | - | - | 2 | 5 | 8 | 1 | - | .154 | .290 | .154 |
J Bellew | Tyler | 18 | 29 | 3 | 6 | 3 | - | 1 | 4 | 4 | 16 | 1 | 1 | .207 | .361 | .414 |
K Bell | Tyler | 43 | 119 | 31 | 27 | 3 | 1 | 1 | 14 | 23 | 28 | 7 | 1 | .227 | .378 | .294 |
D Bello | Union | 19 | 18 | 2 | 1 | - | - | - | 0 | 5 | 11 | 3 | - | .056 | .261 | .056 |
S Bellone | Ocean County | 18 | 32 | 12 | 10 | 1 | 1 | - | 4 | 8 | 6 | - | - | .313 | .450 | .406 |
N Benavidez | Dallas College - North Lake | 18 | 49 | 10 | 13 | 3 | - | - | 10 | 4 | 14 | - | - | .265 | .368 | .327 |
N Bene | Lorain County | 34 | 109 | 16 | 28 | 1 | 4 | - | 15 | 8 | 14 | 6 | - | .257 | .325 | .339 |
A Benner | Montgomery County | 25 | 88 | 12 | 24 | 3 | - | - | 14 | 4 | 6 | 2 | - | .273 | .301 | .307 |
C Bennett | Dallas College - Eastfield | 43 | 130 | 28 | 34 | 12 | 0 | 4 | 31 | 13 | 23 | 9 | 2 | .262 | .340 | .446 |
J Benoit | Quinsigamond | 8 | 16 | 3 | 5 | 2 | - | 1 | 4 | - | 7 | - | - | .313 | .353 | .625 |
C Benson | Anoka-Ramsey | 22 | 63 | 8 | 24 | 2 | 0 | 0 | 7 | 13 | 6 | 1 | 0 | .381 | .500 | .413 |
J Bentley | Rochester | 9 | 16 | 2 | 3 | 1 | 1 | - | 1 | 2 | 7 | 1 | - | .188 | .263 | .375 |
F Beras | Manor | 10 | 20 | 2 | 4 | 1 | - | - | 1 | 1 | 6 | 1 | - | .200 | .238 | .250 |
C Berg | Minnesota North College - Vermilion | 21 | 58 | 4 | 9 | 0 | 0 | 1 | 7 | 8 | 21 | 0 | 0 | .155 | .258 | .207 |
B Berguin | Morton | 10 | 18 | 1 | 1 | - | - | - | 0 | 2 | 11 | - | - | .056 | .190 | .056 |
D Bermudez | Ridgewater | 13 | 22 | 3 | 6 | 1 | - | - | 1 | 3 | 5 | 2 | 1 | .273 | .360 | .318 |
C Bernard | Anoka-Ramsey | 6 | 6 | 2 | 2 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 0 | .333 | .500 | .333 |
S Bernardo | Ocean County | 32 | 100 | 19 | 27 | 3 | - | - | 14 | 15 | 17 | 3 | - | .270 | .365 | .300 |
R Bernard | Minnesota North College - Rainy River | 27 | 78 | 20 | 22 | 2 | - | - | 13 | 4 | 19 | 14 | - | .282 | .337 | .308 |
A Bernhard | Montgomery County | 22 | 66 | 10 | 14 | 1 | - | - | 4 | 6 | 18 | - | - | .212 | .288 | .227 |
J Berresi | Northern Essex | 16 | 2 | 1 | 0 | - | - | - | 0 | - | 1 | - | - | .000 | .000 | .000 |
R Berroa | Borough of Manhattan | 22 | 48 | 11 | 10 | 3 | 1 | 1 | 5 | 11 | 26 | 14 | 2 | .208 | .406 | .375 |
S Berry | Columbia-Greene | 24 | 65 | 8 | 13 | 1 | - | - | 4 | 4 | 31 | 1 | - | .200 | .246 | .215 |
J Betances | Queensborough | 8 | 23 | 6 | 6 | 1 | - | - | 1 | 5 | 9 | 1 | - | .261 | .414 | .304 |
A Betcher | Ridgewater | 20 | 34 | 5 | 8 | - | - | - | 2 | 6 | 9 | 4 | 1 | .235 | .350 | .235 |
B Beyl | Minnesota North College - Itasca | 23 | 29 | 6 | 5 | 1 | - | - | 6 | 3 | 4 | - | - | .172 | .265 | .207 |
R Bianchi | Union | 36 | 91 | 16 | 18 | 2 | - | 2 | 16 | 13 | 32 | 8 | 1 | .198 | .318 | .286 |
N Bibovic | Jefferson (NY) | 32 | 95 | 23 | 30 | 6 | - | 2 | 23 | 15 | 27 | 1 | - | .316 | .425 | .442 |
C Bifolco | Bucks County | 17 | 58 | 12 | 19 | 2 | - | - | 5 | 9 | 14 | 8 | 1 | .328 | .418 | .362 |
D Binder | Delta | 7 | 1 | 0 | 1 | 1 | - | - | 0 | 1 | - | - | - | 1.000 | 1.000 | 2.000 |
M Binns | Waubonsee | 9 | 1 | 0 | 0 | - | - | - | 1 | 1 | 1 | - | - | .000 | .500 | .000 |
B Birdwell | Dallas College - Cedar Valley | 41 | 122 | 23 | 37 | 2 | 4 | 1 | 12 | 13 | 32 | 2 | - | .303 | .379 | .410 |
B Bizzaro | Finger Lakes | 12 | 3 | 1 | 0 | - | - | - | 1 | 1 | - | - | - | .000 | .250 | .000 |
B Blair | Jamestown | 20 | 22 | 2 | 5 | 1 | - | - | 1 | 2 | 9 | - | - | .227 | .292 | .273 |
E Blaisdel | Onondaga | 9 | 12 | 2 | 1 | - | - | - | 1 | 2 | 6 | - | - | .083 | .214 | .083 |
J Bloomstrand | Anoka-Ramsey | 26 | 66 | 11 | 16 | 2 | 1 | 0 | 5 | 5 | 8 | 0 | 0 | .242 | .306 | .303 |
S Blowe | Virginia Peninsula | 21 | 63 | 10 | 10 | - | - | - | 3 | 5 | 17 | 7 | 2 | .159 | .243 | .159 |
T Blumer | Anoka-Ramsey | 17 | 53 | 6 | 15 | 6 | 0 | 0 | 5 | 3 | 19 | 0 | 0 | .283 | .345 | .396 |
Z Blystone | Westmoreland | 27 | 38 | 7 | 7 | 2 | - | - | 2 | 5 | 16 | 3 | - | .184 | .311 | .237 |
D Boardman | Rochester | 13 | 7 | 5 | 1 | - | - | - | 0 | - | 2 | 2 | 2 | .143 | .143 | .143 |
J Bogue | Tyler | 35 | 79 | 18 | 19 | 5 | - | - | 11 | 17 | 16 | 8 | 1 | .241 | .371 | .304 |
R Boland | Montgomery | 17 | 30 | 4 | 5 | 2 | - | - | 4 | 7 | 10 | - | - | .167 | .324 | .233 |
G Boldt | SUNY Niagara | 41 | 130 | 48 | 57 | 14 | 2 | 2 | 44 | 17 | 16 | 34 | 2 | .438 | .517 | .623 |
N Bonacuse | Lorain County | 34 | 95 | 16 | 28 | 2 | 2 | 1 | 13 | 13 | 36 | 7 | 1 | .295 | .384 | .389 |
A Bonilla | Bronx | 17 | 0 | 1 | 0 | - | - | - | 0 | 1 | - | - | - | - | 1.000 | - |
H Borden | Coastal Bend | 9 | 1 | 0 | 0 | - | - | - | 0 | - | 1 | - | - | .000 | .000 | .000 |
B Borg | Minnesota North College - Hibbing | 16 | 35 | 11 | 9 | 2 | 1 | 2 | 8 | 8 | 6 | 1 | - | .257 | .409 | .543 |
S Boston | Herkimer | 2 | 5 | 1 | 1 | - | - | - | 1 | - | 1 | - | - | .200 | .333 | .200 |
J Bounds | Tyler | 60 | 186 | 38 | 55 | 14 | 3 | 6 | 35 | 22 | 30 | 6 | 2 | .296 | .374 | .500 |
K Bourbina | Delta | 42 | 97 | 32 | 31 | 8 | - | 1 | 23 | 10 | 13 | 11 | 2 | .320 | .424 | .433 |
N Box | Dallas College - Cedar Valley | 33 | 90 | 18 | 17 | 3 | - | 5 | 19 | 15 | 20 | - | - | .189 | .365 | .389 |
B Braaten | Riverland | 22 | 58 | 17 | 24 | 3 | - | - | 12 | 9 | 7 | 1 | - | .414 | .514 | .466 |
I Bracher | Western Tech | 16 | 44 | 8 | 9 | 1 | 0 | 0 | 2 | 5 | 10 | 3 | 0 | .205 | .286 | .227 |
P Bradford | Genesee | 26 | 58 | 17 | 18 | 3 | 2 | 1 | 8 | 12 | 15 | 7 | 2 | .310 | .429 | .483 |
A Bradley | Prince George's | 20 | 48 | 8 | 11 | 1 | 2 | 1 | 7 | 8 | 16 | 2 | - | .229 | .339 | .396 |
K Bradley | Prince George's | 13 | 3 | 0 | 0 | - | - | - | 1 | - | 2 | - | - | .000 | .000 | .000 |
T Bradshaw | Finger Lakes | 44 | 120 | 27 | 40 | 10 | 4 | - | 24 | 18 | 21 | 8 | 2 | .333 | .453 | .483 |
J Bradsteen | Minnesota State | 23 | 70 | 20 | 15 | 1 | 1 | - | 6 | 16 | 15 | 4 | - | .214 | .391 | .257 |
S Brady | Ridgewater | 20 | 29 | 5 | 6 | 3 | - | 2 | 5 | 1 | 13 | - | - | .207 | .233 | .517 |
J Brase | SUNY Adirondack | 19 | 16 | 0 | 1 | - | - | - | 1 | 2 | 8 | - | - | .063 | .167 | .063 |
B Breazzano | Kingsborough | 26 | 59 | 11 | 15 | 1 | - | - | 10 | 14 | 23 | 4 | 1 | .254 | .470 | .271 |
H Brelsford | Camden County | 47 | 137 | 42 | 43 | 13 | 1 | 1 | 30 | 25 | 37 | 14 | 2 | .314 | .428 | .445 |
I Brenes | Dallas College - Mountain View | 10 | 12 | 2 | 0 | - | - | - | 1 | 3 | 8 | 1 | - | .000 | .200 | .000 |
J Brewer | Prince George's | 27 | 78 | 17 | 28 | 5 | 2 | - | 11 | 11 | 11 | 2 | - | .359 | .459 | .474 |
D Briggs | Finger Lakes | 3 | 4 | 0 | 0 | - | - | - | 0 | 1 | 3 | - | - | .000 | .200 | .000 |
N Brisach | Middlesex College | 46 | 155 | 26 | 41 | 17 | - | 1 | 33 | 11 | 30 | 8 | 4 | .265 | .341 | .394 |
J Bristol | Onondaga | 2 | 2 | 1 | 2 | - | 1 | - | 3 | - | - | - | - | 1.000 | 1.000 | 2.000 |
J Brnca | Joliet | 29 | 61 | 12 | 16 | 2 | 2 | 0 | 8 | 13 | 18 | 1 | 2 | .262 | .400 | .361 |
T Broadway | Tyler | 58 | 197 | 47 | 58 | 14 | 0 | 9 | 50 | 33 | 37 | 5 | 0 | .294 | .406 | .503 |
C BROCCOLINO | Oakton | 54 | 169 | 42 | 57 | 12 | 2 | 3 | 36 | 26 | 16 | 4 | 6 | .337 | .421 | .485 |
A Brooks | Middlesex College | 46 | 131 | 31 | 38 | 9 | - | - | 20 | 34 | 34 | 12 | 1 | .290 | .450 | .359 |
D Brooks | Dallas College - North Lake | 34 | 81 | 23 | 19 | 2 | 2 | - | 13 | 23 | 26 | 3 | - | .235 | .427 | .309 |
C Brown | Northampton | 36 | 107 | 22 | 32 | 4 | - | - | 14 | 9 | 13 | - | - | .299 | .380 | .336 |
C Brown | North Arkansas | 13 | 30 | 4 | 4 | 0 | 0 | 0 | 2 | 2 | 7 | 2 | 0 | .133 | .188 | .133 |
D Brown | Delaware County | 13 | 33 | 4 | 9 | 1 | - | - | 4 | 2 | 14 | 6 | - | .273 | .314 | .303 |
D Brown | Central Lakes | 29 | 73 | 17 | 14 | 3 | 2 | 3 | 18 | 13 | 27 | 6 | - | .192 | .348 | .411 |
W Brownlowe | Montgomery County | 26 | 100 | 16 | 43 | 12 | - | - | 27 | 8 | 6 | 11 | 2 | .430 | .469 | .550 |
M Brown | Fulton-Montgomery | 14 | 18 | 2 | 5 | 1 | - | - | 3 | 8 | 5 | - | - | .278 | .481 | .333 |
P Brown | Westmoreland | 22 | 65 | 12 | 23 | 6 | - | - | 13 | 4 | 10 | 8 | - | .354 | .386 | .446 |
J Brunetti | Kingsborough | 10 | 25 | 6 | 10 | 2 | - | 1 | 6 | 4 | 9 | 3 | 1 | .400 | .500 | .600 |
T Brunson | Union | 41 | 137 | 34 | 53 | 11 | 1 | 6 | 36 | 11 | 25 | 20 | 2 | .387 | .442 | .613 |
K Bumstead | Coastal Bend | 55 | 143 | 33 | 50 | 12 | 1 | 4 | 25 | 20 | 22 | 2 | 2 | .350 | .446 | .531 |
L Bundy | Illinois Valley | 39 | 125 | 28 | 35 | 9 | 2 | 1 | 26 | 13 | 16 | 9 | - | .280 | .353 | .408 |
A Burden | Bucks County | 1 | 1 | 0 | 1 | - | - | - | 0 | - | - | - | - | 1.000 | 1.000 | 1.000 |
B Burgau | St. Cloud Tech | 10 | 11 | 2 | 4 | 1 | - | - | 2 | - | 4 | - | - | .364 | .364 | .455 |
D Burgess | Jefferson (NY) | 10 | 21 | 6 | 5 | 1 | - | 1 | 3 | 6 | 8 | - | - | .238 | .407 | .429 |
W Burgess | Montgomery | 43 | 129 | 44 | 42 | 11 | 3 | 6 | 34 | 30 | 33 | 8 | - | .326 | .485 | .597 |
C Burgos-Bye | Erie | 7 | 3 | 0 | 0 | - | - | - | 0 | - | 1 | - | - | .000 | .000 | .000 |
C Burke | Milwaukee Area Tech | 34 | 85 | 7 | 26 | 6 | 0 | 0 | 8 | 8 | 7 | 3 | 0 | .306 | .366 | .376 |
D Burke | Atlantic Cape | 18 | 31 | 8 | 6 | 1 | - | - | 3 | 5 | 7 | - | - | .194 | .306 | .226 |
M Burke | Waubonsee | 44 | 106 | 22 | 21 | 2 | - | - | 9 | 19 | 29 | 6 | - | .198 | .356 | .217 |
R Burks | North Arkansas | 9 | 24 | 8 | 5 | 1 | 0 | 0 | 6 | 6 | 6 | 0 | 0 | .208 | .387 | .250 |
J Burnett | Dallas College - Richland | 15 | 27 | 7 | 8 | 1 | - | 3 | 14 | 3 | 11 | - | - | .296 | .472 | .667 |
J Burnett | Coastal Bend | 53 | 162 | 41 | 47 | 8 | 1 | 11 | 36 | 23 | 50 | 12 | 3 | .290 | .392 | .556 |
S Burnham | Herkimer | 4 | 2 | 0 | 0 | - | - | - | 2 | - | - | - | - | .000 | .000 | .000 |
D Bush | Minnesota State | 26 | 72 | 13 | 15 | 2 | - | 2 | 9 | 16 | 22 | 2 | 1 | .208 | .360 | .319 |
T Butler | Butler County | 9 | 20 | 3 | 4 | - | - | - | 3 | 2 | 6 | - | - | .200 | .304 | .200 |
W Butler | Danville | 31 | 109 | 39 | 44 | 6 | 2 | 2 | 36 | 13 | 12 | 1 | - | .404 | .496 | .550 |
T Butz | Delaware County | 23 | 81 | 20 | 28 | 4 | - | - | 4 | 6 | 10 | 8 | 1 | .346 | .418 | .395 |
C Byington | Corning | 6 | 1 | 0 | 0 | - | - | - | 0 | 1 | - | - | - | .000 | .500 | .000 |
T Byrd | Jamestown | 26 | 76 | 16 | 26 | 5 | - | - | 23 | 10 | 6 | 10 | 2 | .342 | .451 | .408 |
E Cabrera | Erie | 4 | 2 | 0 | 0 | - | - | - | 0 | - | 2 | - | - | .000 | .000 | .000 |
R Cabrera | Bronx | 29 | 71 | 17 | 15 | 3 | 1 | - | 12 | 17 | 28 | 1 | 1 | .211 | .394 | .282 |
V Cabrera | Erie | 23 | 36 | 7 | 5 | - | - | - | 5 | 4 | 8 | 2 | - | .139 | .250 | .139 |
J Caceres | Harper | 36 | 115 | 22 | 31 | 12 | 0 | 2 | 8 | 17 | 14 | 7 | 2 | .270 | .382 | .426 |
M Calabrese | Ocean County | 40 | 129 | 28 | 51 | 3 | 4 | 1 | 31 | 19 | 16 | 2 | - | .395 | .473 | .504 |
K Calamayan | Minnesota North College - Rainy River | 35 | 122 | 26 | 42 | 7 | 3 | 3 | 25 | 17 | 10 | 7 | - | .344 | .433 | .525 |
M Calderon-Torres | Finger Lakes | 17 | 46 | 5 | 6 | - | - | - | 8 | 5 | 10 | 1 | 1 | .130 | .216 | .130 |
C Caldwell | Jamestown | 23 | 53 | 3 | 9 | 1 | - | - | 2 | 6 | 25 | 1 | - | .170 | .254 | .189 |
N Callahan | MassBay | 15 | 31 | 1 | 8 | 2 | - | - | 6 | 5 | 5 | 1 | 1 | .258 | .410 | .323 |
C Callender | Quinsigamond | 17 | 36 | 11 | 8 | 3 | - | - | 7 | 7 | 10 | 3 | - | .222 | .378 | .306 |
C Caltabiano | Delaware County | 19 | 39 | 8 | 9 | - | - | 1 | 10 | 7 | 10 | 4 | - | .231 | .360 | .308 |
D Cambell | Illinois Valley | 24 | 30 | 11 | 9 | - | - | - | 2 | 9 | 5 | 1 | - | .300 | .462 | .300 |
B Camelo | Middlesex College | 15 | 0 | 0 | 0 | - | - | - | 0 | 1 | - | - | - | - | 1.000 | - |
C Campanile | Danville | 22 | 33 | 10 | 7 | - | 1 | 1 | 7 | 7 | 4 | - | - | .212 | .409 | .364 |
N Campbell | Joliet | 10 | 21 | 3 | 2 | 0 | 0 | 0 | 1 | 5 | 9 | 1 | 1 | .095 | .296 | .095 |
K Canavally | Onondaga | 10 | 0 | 1 | 0 | - | - | - | 0 | - | - | - | - | - | - | - |
J Capozzoli | Nassau | 33 | 102 | 30 | 31 | 2 | 1 | - | 17 | 16 | 14 | 15 | 3 | .304 | .418 | .343 |
A Caraballo | Atlantic Cape | 26 | 94 | 8 | 26 | 1 | - | - | 9 | 8 | 14 | 1 | 1 | .277 | .333 | .287 |
C Caraballo | Queensborough | 14 | 41 | 5 | 9 | 2 | - | - | 3 | 3 | 8 | - | - | .220 | .273 | .268 |
C Caraballo | Fulton-Montgomery | 14 | 33 | 6 | 7 | - | - | - | 5 | 7 | 13 | 1 | - | .212 | .366 | .212 |
R Caraballo | Corning | 30 | 66 | 12 | 23 | 4 | - | - | 8 | 7 | 16 | 1 | 1 | .348 | .427 | .409 |
S Carbonara | Brookdale | 8 | 2 | 0 | 0 | - | - | - | 0 | - | 1 | - | - | .000 | .000 | .000 |
D Cardello | Allegheny County-South | 15 | 48 | 14 | 14 | 3 | 2 | - | 4 | 8 | 13 | 1 | - | .292 | .404 | .438 |
J Carlos Polanco | Monroe College - Bronx | 6 | 5 | 1 | 1 | 1 | - | - | 0 | 3 | 3 | - | - | .200 | .500 | .400 |
E Carlson | St. Cloud Tech | 20 | 52 | 20 | 20 | 4 | - | - | 9 | 7 | 9 | 9 | 2 | .385 | .452 | .462 |
M Carlson | Minnesota North College - Mesabi Range | 26 | 68 | 10 | 17 | 2 | 0 | 0 | 7 | 7 | 10 | 2 | 0 | .250 | .338 | .279 |
A Carneiro | Hudson Valley | 9 | 18 | 4 | 3 | - | - | - | 1 | 4 | 8 | 1 | 1 | .167 | .348 | .167 |
N Carnevale | Brookdale | 55 | 216 | 68 | 84 | 20 | 3 | 1 | 36 | 21 | 11 | 27 | 2 | .389 | .459 | .523 |
L Carpenter | Mohawk Valley | 19 | 28 | 10 | 6 | - | 1 | - | 1 | 3 | 3 | - | - | .214 | .421 | .286 |
R Carrasco | Union | 14 | 21 | 2 | 3 | 1 | - | - | 0 | 2 | 8 | - | - | .143 | .240 | .190 |
A Carrodeguas | Onondaga | 44 | 115 | 29 | 34 | 5 | 2 | - | 16 | 11 | 30 | 13 | - | .296 | .390 | .374 |
K Carroll | Montgomery | 4 | 0 | 1 | 0 | - | - | - | 0 | - | - | - | - | - | - | - |
M Carroll | Finger Lakes | 27 | 57 | 10 | 13 | 3 | - | - | 9 | 16 | 16 | 2 | 1 | .228 | .408 | .281 |
N Carter | Erie | 7 | 7 | 1 | 0 | - | - | - | 1 | 2 | 3 | - | 1 | .000 | .222 | .000 |
D Carvalho | Northern Essex | 9 | 1 | 0 | 1 | - | - | - | 1 | - | - | - | - | 1.000 | 1.000 | 1.000 |
J Castellanos | Minnesota North College - Rainy River | 12 | 1 | 4 | 0 | - | - | - | 0 | - | - | - | - | .000 | .000 | .000 |
L Castellanos | Coastal Bend | 25 | 56 | 7 | 12 | 4 | - | - | 9 | 6 | 16 | - | 1 | .214 | .343 | .286 |
J Castillo | Bronx | 12 | 1 | 1 | 0 | - | - | - | 0 | 1 | 1 | - | - | .000 | .500 | .000 |
M Castillo | RCSJ Cumberland | 45 | 141 | 35 | 40 | 9 | 3 | - | 25 | 21 | 38 | 11 | 1 | .284 | .392 | .390 |
E Castro | Borough of Manhattan | 6 | 11 | 6 | 4 | - | - | - | 3 | 5 | 6 | 1 | 1 | .364 | .563 | .364 |
A Castrogiovanni | Suffolk County | 5 | 5 | 1 | 2 | 1 | - | - | 0 | 2 | 1 | - | - | .400 | .571 | .600 |
V Castronovo | Herkimer | 27 | 72 | 27 | 26 | 4 | 3 | 2 | 20 | 12 | 11 | 4 | 1 | .361 | .471 | .583 |
A Caulfield | Northern Essex | 18 | 50 | 13 | 16 | 2 | - | 2 | 15 | 6 | 9 | 2 | 1 | .320 | .393 | .480 |
A Cavalier | Prince George's | 17 | 17 | 4 | 6 | 1 | - | - | 4 | - | 4 | - | - | .353 | .353 | .412 |
J Cavana | SUNY Niagara | 22 | 63 | 11 | 13 | 5 | - | - | 7 | 6 | 10 | 3 | - | .206 | .286 | .286 |
J Cavanaugh | Joliet | 45 | 123 | 33 | 41 | 14 | 3 | 4 | 34 | 21 | 17 | 2 | 1 | .333 | .438 | .593 |
E Cazado-Mejia | Luzerne County | 16 | 29 | 2 | 4 | 1 | - | - | 2 | 1 | 12 | - | - | .138 | .167 | .172 |
C Cedeno | Bronx | 17 | 37 | 8 | 9 | 2 | - | - | 8 | 11 | 13 | 2 | - | .243 | .429 | .297 |
S Centorani | Herkimer | 32 | 85 | 26 | 32 | 5 | 2 | 5 | 29 | 5 | 27 | - | - | .376 | .402 | .659 |
J Cepeda | Bergen | 44 | 135 | 39 | 49 | 8 | 4 | 3 | 33 | 19 | 30 | 10 | 4 | .363 | .472 | .548 |
D Cericola | Atlantic Cape | 7 | 20 | 4 | 3 | 1 | - | - | 3 | 4 | 6 | - | - | .150 | .292 | .200 |
B Champagne | Herkimer | 7 | 4 | 2 | 1 | - | - | 1 | 1 | 1 | - | 1 | - | .250 | .500 | 1.000 |
T Chance | Rock Valley | 51 | 118 | 26 | 52 | 17 | - | 2 | 29 | 19 | 19 | 1 | 1 | .441 | .529 | .636 |
C Chaporro | Rockingham | 24 | 12 | 4 | 2 | - | - | - | 0 | 5 | 5 | 2 | 2 | .167 | .412 | .167 |
S Charles | Queensborough | 14 | 25 | 4 | 7 | - | - | - | 2 | 4 | 7 | - | - | .280 | .379 | .280 |
T Chase | Schoolcraft | 34 | 95 | 16 | 29 | 3 | - | 2 | 21 | 22 | 25 | - | - | .305 | .460 | .400 |
G CHEESMAN | Oakton | 6 | 9 | 0 | 1 | 1 | - | - | 2 | - | 4 | - | - | .111 | .111 | .222 |
J Cheney | Minnesota North College - Rainy River | 18 | 31 | 4 | 10 | - | - | - | 7 | 2 | 5 | - | - | .323 | .382 | .323 |
K Cheslock | Suffolk County | 21 | 47 | 8 | 11 | 3 | - | 1 | 7 | 4 | 10 | - | - | .234 | .327 | .362 |
V Chiarenza | SUNY Niagara | 43 | 135 | 46 | 56 | 9 | 2 | 9 | 53 | 28 | 26 | 10 | 1 | .415 | .515 | .711 |
J Chichon | Minnesota North College - Itasca | 27 | 61 | 17 | 16 | 4 | 1 | - | 13 | 10 | 2 | 3 | 1 | .262 | .439 | .361 |
N Chimento | Luzerne County | 8 | 7 | 1 | 0 | - | - | - | 0 | - | 5 | - | - | .000 | .000 | .000 |
K Christman | Illinois Valley | 40 | 84 | 16 | 20 | 2 | - | - | 9 | 16 | 18 | 4 | - | .238 | .360 | .262 |
T Christmas | Danville | 31 | 79 | 19 | 27 | 5 | - | 1 | 12 | 21 | 12 | 1 | - | .342 | .490 | .443 |
M Chupurdia | Minnesota North College - Itasca | 31 | 68 | 23 | 25 | 4 | - | - | 31 | 11 | 3 | 4 | 4 | .368 | .517 | .426 |
A Cibulka | DuPage | 27 | 83 | 15 | 23 | 5 | 0 | 1 | 21 | 8 | 22 | 0 | 1 | .277 | .347 | .373 |
J Ciccone | Lorain County | 29 | 69 | 17 | 19 | - | - | - | 7 | 9 | 13 | 10 | 1 | .275 | .367 | .275 |
N Ciecielski | Schoolcraft | 43 | 123 | 24 | 39 | 9 | 2 | 2 | 33 | 25 | 36 | 9 | - | .317 | .425 | .472 |
J Cinello | Allegheny County-South | 15 | 46 | 8 | 15 | 1 | - | - | 7 | 8 | 7 | - | - | .326 | .418 | .348 |
A Ciola | Riverland | 29 | 102 | 40 | 45 | 14 | 1 | 2 | 23 | 8 | 12 | 2 | - | .441 | .517 | .657 |
M Cipriano | Schoolcraft | 38 | 111 | 30 | 35 | 8 | - | - | 12 | 22 | 22 | 5 | - | .315 | .445 | .387 |
M Clanagan | Allegheny County-Boyce | 4 | 10 | 0 | 0 | - | - | - | 0 | 2 | 5 | - | 1 | .000 | .167 | .000 |
S Clapper | Montgomery | 38 | 77 | 23 | 25 | 6 | 1 | - | 18 | 26 | 11 | 3 | 2 | .325 | .491 | .429 |
G Clase | Borough of Manhattan | 20 | 38 | 6 | 12 | 2 | - | - | 6 | 11 | 12 | 8 | 3 | .316 | .481 | .368 |
N Clement | RCSJ Gloucester | 57 | 209 | 56 | 76 | 13 | 1 | 2 | 34 | 13 | 21 | 3 | 3 | .364 | .415 | .464 |
B Cleverley | Rockingham | 45 | 159 | 18 | 31 | 3 | 1 | - | 22 | 12 | 42 | 5 | 1 | .195 | .256 | .226 |
W Clifford | Onondaga | 44 | 143 | 32 | 45 | 10 | 5 | 4 | 35 | 13 | 27 | 6 | 1 | .315 | .373 | .538 |
C Coakley | Montgomery | 11 | 17 | 6 | 4 | 2 | - | - | 7 | 8 | 7 | - | - | .235 | .480 | .353 |
J Cobb | Corning | 5 | 5 | 1 | 0 | - | - | - | 0 | - | 4 | - | - | .000 | .000 | .000 |
N Colbert | Lorain County | 37 | 123 | 28 | 50 | 9 | 3 | 4 | 44 | 9 | 14 | 7 | - | .407 | .449 | .626 |
R Collins | Northern Essex | 39 | 151 | 51 | 61 | 13 | 3 | 5 | 31 | 16 | 21 | 21 | 2 | .404 | .474 | .629 |
C Colon | Union | 31 | 87 | 17 | 22 | 9 | - | 2 | 18 | 15 | 27 | 7 | 2 | .253 | .371 | .425 |
G Comely | Riverland | 3 | 2 | 1 | 0 | - | - | - | 0 | - | - | - | - | .000 | .000 | .000 |
K Comincioli | Illinois Valley | 44 | 119 | 15 | 24 | 7 | - | 1 | 24 | 10 | 18 | 2 | - | .202 | .269 | .286 |
J Concepcion | Luzerne County | 26 | 79 | 11 | 21 | 6 | - | 1 | 18 | 4 | 20 | - | - | .266 | .310 | .380 |
M Connelly | Rockingham | 16 | 38 | 6 | 6 | 1 | - | 1 | 5 | 6 | 24 | - | - | .158 | .304 | .263 |
S Conti | Schoolcraft | 41 | 116 | 16 | 27 | 2 | - | - | 19 | 11 | 21 | - | 1 | .233 | .295 | .250 |
A Cook | SUNY Adirondack | 38 | 135 | 34 | 51 | 5 | 1 | - | 18 | 8 | 7 | 14 | 4 | .378 | .422 | .430 |
C Cooper | Finger Lakes | 44 | 141 | 26 | 54 | 11 | 3 | 6 | 46 | 10 | 20 | 6 | 3 | .383 | .433 | .631 |
J Cooper | Delta | 19 | 30 | 5 | 8 | 2 | - | - | 2 | 9 | 9 | - | 1 | .267 | .476 | .333 |
N Cope | Lehigh Carbon | 28 | 74 | 5 | 12 | 3 | - | - | 5 | 4 | 18 | 1 | - | .162 | .232 | .203 |
L Corcoran | Elgin | 41 | 132 | 31 | 44 | 7 | 2 | 0 | 32 | 24 | 21 | 8 | 4 | .333 | .442 | .417 |
K Cordone | Waubonsee | 30 | 84 | 19 | 19 | 4 | - | - | 9 | 5 | 20 | 3 | - | .226 | .278 | .274 |
E Corhouse | SUNY Adirondack | 31 | 58 | 17 | 20 | 1 | - | - | 11 | 6 | 15 | 1 | 2 | .345 | .406 | .362 |
T CORLETT | Oakton | 9 | 7 | 5 | 0 | - | - | - | 1 | 1 | 5 | - | 1 | .000 | .222 | .000 |
C Cornelius | Dallas College - Richland | 31 | 87 | 14 | 18 | 1 | - | 3 | 10 | 10 | 24 | 2 | 1 | .207 | .310 | .322 |
M Cornetti | Butler County | 14 | 46 | 9 | 17 | 5 | - | 1 | 12 | 7 | 6 | - | - | .370 | .463 | .543 |
A Corso | Northampton | 18 | 14 | 4 | 7 | 3 | - | - | 6 | 1 | 5 | 1 | - | .500 | .533 | .714 |
A Cosby | North Arkansas | 12 | 18 | 3 | 3 | 0 | 0 | 1 | 1 | 4 | 8 | 0 | 0 | .167 | .423 | .333 |
B Coscia | SUNY Broome | 26 | 54 | 7 | 10 | 5 | - | 1 | 11 | 4 | 15 | 3 | - | .185 | .286 | .333 |
A Costigan | Elgin | 33 | 82 | 16 | 23 | 5 | 0 | 0 | 19 | 13 | 27 | 1 | 2 | .280 | .381 | .341 |
G Cottingham | Illinois Valley | 21 | 24 | 4 | 1 | - | - | - | 1 | 8 | 5 | - | - | .042 | .281 | .042 |
E Cotto | Ridgewater | 11 | 18 | 2 | 3 | 2 | - | - | 3 | 1 | 3 | 1 | - | .167 | .200 | .278 |
M Cough | Mohawk Valley | 23 | 60 | 10 | 14 | 1 | - | - | 4 | 5 | 10 | - | 1 | .233 | .324 | .250 |
C Coyle | RCSJ Gloucester | 18 | 0 | 2 | 0 | - | - | - | 1 | 1 | - | - | - | - | 1.000 | - |
A Craig | Luzerne County | 27 | 76 | 20 | 18 | 9 | 1 | - | 13 | 14 | 15 | 3 | - | .237 | .363 | .382 |
J Crawford-Akeredolu | Rochester | 27 | 78 | 20 | 18 | 2 | - | - | 14 | 10 | 20 | 9 | 3 | .231 | .326 | .256 |
S Crawford | Borough of Manhattan | 25 | 54 | 17 | 12 | 3 | - | - | 4 | 10 | 18 | 12 | - | .222 | .400 | .278 |
C Creed | Joliet | 1 | 1 | 0 | 0 | - | - | - | 0 | - | 1 | - | - | .000 | .000 | .000 |
T Crom | DuPage | 30 | 78 | 20 | 28 | 4 | 0 | 0 | 12 | 14 | 26 | 8 | 0 | .359 | .468 | .410 |
T Cromwell | Central Lakes | 2 | 2 | 0 | 1 | - | - | - | 0 | - | 1 | - | - | .500 | .500 | .500 |
B Crosby | Prince George's | 33 | 108 | 32 | 39 | 5 | 1 | 6 | 28 | 15 | 15 | 16 | 1 | .361 | .454 | .593 |
M Cross | SUNY Niagara | 45 | 136 | 41 | 52 | 8 | 1 | 7 | 44 | 28 | 29 | 5 | - | .382 | .500 | .610 |
D Crowley | SUNY Niagara | 10 | 21 | 5 | 6 | 1 | - | - | 3 | 3 | - | 2 | - | .286 | .400 | .333 |
A Cruz | Union | 41 | 123 | 27 | 39 | 5 | - | 4 | 23 | 20 | 22 | 6 | 4 | .317 | .422 | .455 |
D Cruz | Dallas College - Mountain View | 5 | 9 | 3 | 3 | 1 | - | - | 0 | 2 | 1 | - | - | .333 | .455 | .444 |
K Cruz | Bergen | 35 | 89 | 24 | 31 | 10 | 1 | 2 | 21 | 17 | 17 | 6 | - | .348 | .459 | .551 |
K Cruz | Ridgewater | 21 | 43 | 11 | 11 | - | - | - | 2 | 3 | 6 | 9 | 1 | .256 | .319 | .256 |
K Cruz | SUNY Niagara | 4 | 5 | 0 | 0 | - | - | - | 0 | - | 1 | - | - | .000 | .000 | .000 |
T Cruz | Union | 4 | 5 | 2 | 0 | - | - | - | 0 | - | 2 | 1 | - | .000 | .167 | .000 |
G Cuevas | Allegheny County-Boyce | 16 | 32 | 3 | 5 | - | - | - | 3 | - | 3 | 1 | - | .156 | .156 | .156 |
L Curley | Montgomery County | 20 | 75 | 18 | 32 | 8 | 1 | - | 14 | 10 | 4 | 4 | 1 | .427 | .511 | .560 |
P CUSTODIO | Oakton | 45 | 150 | 42 | 53 | 10 | - | 11 | 42 | 26 | 23 | 2 | 2 | .353 | .459 | .640 |
C Cutino | Suffolk County | 26 | 65 | 21 | 19 | 2 | - | 2 | 15 | 22 | 16 | 4 | - | .292 | .472 | .415 |
Z Cutler | Quinsigamond | 29 | 73 | 16 | 15 | 1 | - | - | 10 | 15 | 19 | 2 | - | .205 | .370 | .219 |
J Cyzewski | Anoka-Ramsey | 14 | 26 | 4 | 4 | 1 | 0 | 0 | 6 | 7 | 9 | 0 | 0 | .154 | .333 | .192 |
I D'Agostino | Dallas College - Eastfield | 50 | 188 | 48 | 73 | 14 | 0 | 4 | 44 | 23 | 29 | 0 | 1 | .388 | .463 | .527 |
R Dalton | Danville | 30 | 110 | 22 | 40 | 6 | 1 | 2 | 30 | 12 | 10 | 4 | 1 | .364 | .427 | .491 |
N Dalzell | Anoka-Ramsey | 28 | 79 | 12 | 25 | 8 | 0 | 1 | 13 | 6 | 21 | 1 | 1 | .316 | .407 | .456 |
E Danley | Surry | 34 | 113 | 32 | 39 | 4 | - | - | 14 | 17 | 19 | 5 | 1 | .345 | .433 | .381 |
R Danszczak | Lorain County | 34 | 108 | 19 | 41 | 8 | 1 | - | 21 | 9 | 21 | 1 | - | .380 | .442 | .472 |
N Darwin | Genesee | 19 | 39 | 7 | 11 | 6 | - | - | 5 | 6 | 9 | - | - | .282 | .417 | .436 |
I Davenport | Minnesota West | 31 | 69 | 7 | 14 | 2 | 1 | 1 | 10 | 5 | 22 | 9 | 2 | .203 | .295 | .304 |
N Davidson | Bucks County | 10 | 11 | 1 | 1 | - | - | - | 1 | - | 8 | - | - | .091 | .091 | .091 |
B Davis | Corning | 12 | 19 | 2 | 0 | - | - | - | 1 | 1 | 16 | - | - | .000 | .091 | .000 |
J Davis | Virginia Peninsula | 26 | 71 | 13 | 12 | 2 | 1 | - | 9 | 18 | 20 | 2 | 1 | .169 | .351 | .225 |
J Davis | Elgin | 31 | 58 | 17 | 11 | 1 | 0 | 0 | 4 | 12 | 20 | 9 | 0 | .190 | .338 | .207 |
K Davis | Tyler | 31 | 67 | 6 | 16 | 2 | 1 | 2 | 16 | 8 | 23 | 3 | 1 | .239 | .333 | .388 |
B Day | MassBay | 14 | 32 | 1 | 6 | - | - | - | 2 | 1 | 11 | - | - | .188 | .212 | .188 |
E De La Rosa | Allegheny County-Boyce | 29 | 100 | 20 | 32 | 3 | 1 | - | 19 | 11 | 6 | 3 | - | .320 | .398 | .370 |
Y De Leon | Monroe College - Bronx | 7 | 6 | 0 | 1 | - | - | - | 0 | - | 1 | - | - | .167 | .167 | .167 |
A De Los Santos | Monroe College - Bronx | 16 | 35 | 7 | 8 | 3 | - | - | 4 | 3 | 12 | 1 | - | .229 | .310 | .314 |
J De Los Santos | Borough of Manhattan | 23 | 60 | 18 | 16 | 2 | 2 | - | 8 | 12 | 24 | 16 | 4 | .267 | .405 | .367 |
A Debates | Illinois Valley | 20 | 30 | 7 | 7 | - | - | - | 3 | 4 | 13 | - | - | .233 | .324 | .233 |
J Decker | Westmoreland | 9 | 11 | 0 | 1 | 1 | - | - | 3 | 1 | 3 | - | - | .091 | .167 | .182 |
T DeCouto | Massasoit | 9 | 2 | 1 | 0 | - | - | - | 0 | - | - | - | - | .000 | .333 | .000 |
D Deitz | Anoka-Ramsey | 15 | 13 | 3 | 2 | 0 | 0 | 0 | 2 | 3 | 8 | 2 | 1 | .154 | .313 | .154 |
P DeJean | Northland | 14 | 11 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 0 | 0 | .000 | .389 | .000 |
H Dejesus | Holyoke | 9 | 21 | 4 | 2 | - | - | - | 0 | 4 | 5 | - | 1 | .095 | .296 | .095 |
K DeJesus | Jamestown | 15 | 30 | 6 | 8 | - | - | - | 3 | 7 | 9 | - | - | .267 | .405 | .267 |
C Del Bosque | Dallas College - Eastfield | 40 | 119 | 30 | 40 | 9 | 0 | 3 | 28 | 21 | 23 | 1 | 0 | .336 | .448 | .487 |
C Del Toro | Northampton | 50 | 189 | 60 | 74 | 15 | 4 | 6 | 46 | 23 | 33 | 7 | 3 | .392 | .468 | .608 |
J Del Valle | Minnesota North College - Rainy River | 21 | 40 | 6 | 6 | 1 | - | - | 4 | 6 | 17 | - | 1 | .150 | .255 | .175 |