Per Game
Player | Team | G | MP | FG | FGA | FG% | 3P | 3PA | 3P% | 2P | 2PA | 2P% | eFG% | FT | FTA | FT% | ORB | DRB | TRB | AST | STL | BLK | TOV | PF | PTS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adriana Santos | Brazil | 4 | 0.3 | 2.0 | .125 | 0.3 | 1.3 | .200 | 0.0 | 0.8 | .000 | .188 | 0.5 | 0.5 | 1.000 | 0.0 | 0.0 | 0.0 | 0.8 | 1.3 | 0.0 | 0.3 | 1.0 | 1.3 | |
Adriana Chamajová | Czechoslovakia | 3 | 0.0 | 1.0 | .000 | 0.0 | 0.0 | 0.0 | 1.0 | .000 | .000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.3 | 0.0 | 1.0 | 0.3 | 0.0 | |||
Almudena Vara | Spain | 2 | 1.5 | 2.0 | .750 | 1.0 | 1.0 | 1.000 | 0.5 | 1.0 | .500 | 1.000 | 1.0 | 1.0 | 1.000 | 0.0 | 0.5 | 0.5 | 0.0 | 0.5 | 0.0 | 0.5 | 1.0 | 5.0 | |
Ana Álvaro | Spain | 5 | 2.6 | 6.8 | .382 | 1.4 | 5.0 | .280 | 1.2 | 1.8 | .667 | .485 | 2.0 | 2.8 | .714 | 0.2 | 1.2 | 1.4 | 1.2 | 2.2 | 0.0 | 1.8 | 2.0 | 8.6 | |
Ana Hernández | Cuba | 5 | 2.4 | 7.0 | .343 | 1.0 | 2.2 | .455 | 1.4 | 4.8 | .292 | .414 | 0.8 | 1.4 | .571 | 1.4 | 1.0 | 2.4 | 0.2 | 1.8 | 0.0 | 0.4 | 2.2 | 6.6 | |
Andrea Borrell | Cuba | 4 | 7.5 | 13.3 | .566 | 0.0 | 0.0 | 7.5 | 13.3 | .566 | .566 | 2.5 | 3.8 | .667 | 4.8 | 3.8 | 8.5 | 2.0 | 2.0 | 1.0 | 1.8 | 3.3 | 17.5 | ||
Andrea Chupíková | Czechoslovakia | 5 | 3.2 | 9.8 | .327 | 0.2 | 0.2 | 1.000 | 3.0 | 9.6 | .313 | .337 | 3.0 | 4.0 | .750 | 2.0 | 1.6 | 3.6 | 1.4 | 5.0 | 0.4 | 2.6 | 2.2 | 9.6 | |
Angela Arcangeli | Italy | 5 | 1.4 | 4.0 | .350 | 0.0 | 0.0 | 1.4 | 4.0 | .350 | .350 | 0.8 | 1.2 | .667 | 0.4 | 0.4 | 0.8 | 0.4 | 0.4 | 0.0 | 0.0 | 2.0 | 3.6 | ||
Anna Costalunga | Italy | 5 | 2.8 | 6.0 | .467 | 0.2 | 0.8 | .250 | 2.6 | 5.2 | .500 | .483 | 0.2 | 0.6 | .333 | 0.0 | 1.6 | 1.6 | 1.4 | 1.4 | 0.0 | 1.2 | 2.2 | 6.0 | |
Anna Kotocová | Czechoslovakia | 5 | 2.6 | 6.6 | .394 | 0.0 | 0.0 | 2.6 | 6.6 | .394 | .394 | 1.6 | 3.2 | .500 | 1.2 | 3.2 | 4.4 | 0.4 | 2.2 | 0.4 | 1.6 | 3.8 | 6.8 | ||
Biosotis Lagnó | Cuba | 3 | 0.0 | 2.0 | .000 | 0.0 | 0.3 | .000 | 0.0 | 1.7 | .000 | .000 | 0.0 | 0.0 | 0.3 | 0.0 | 0.3 | 0.7 | 0.7 | 0.0 | 0.3 | 0.3 | 0.0 | ||
Blanca Ares | Spain | 5 | 4.2 | 11.4 | .368 | 0.2 | 0.6 | .333 | 4.0 | 10.8 | .370 | .377 | 5.2 | 7.2 | .722 | 1.0 | 2.8 | 3.8 | 2.6 | 2.8 | 0.0 | 2.4 | 2.6 | 13.8 | |
Carlota Castrejana | Spain | 5 | 2.0 | 6.0 | .333 | 0.0 | 0.0 | 2.0 | 6.0 | .333 | .333 | 0.2 | 0.4 | .500 | 1.4 | 2.0 | 3.4 | 0.6 | 1.6 | 0.6 | 0.8 | 3.0 | 4.2 | ||
Carolina Mújica | Spain | 5 | 2.6 | 5.4 | .481 | 0.0 | 0.0 | 2.6 | 5.4 | .481 | .481 | 3.0 | 4.2 | .714 | 0.4 | 2.0 | 2.4 | 0.8 | 2.8 | 0.0 | 1.8 | 3.6 | 8.2 | ||
Carolyn Jones | United States | 2 | 2.5 | 6.5 | .385 | 1.5 | 4.0 | .375 | 1.0 | 2.5 | .400 | .500 | 1.0 | 1.5 | .667 | 0.5 | 0.5 | 1.0 | 0.5 | 2.0 | 0.0 | 0.0 | 1.5 | 7.5 | |
Catarina Pollini | Italy | 5 | 7.0 | 16.2 | .432 | 0.0 | 0.4 | .000 | 7.0 | 15.8 | .443 | .432 | 3.6 | 6.4 | .563 | 2.0 | 4.6 | 6.6 | 1.8 | 2.8 | 1.2 | 2.0 | 3.8 | 17.6 | |
Clarissa Davis | United States | 5 | 4.0 | 8.2 | .488 | 1.4 | 3.0 | .467 | 2.6 | 5.2 | .500 | .573 | 3.6 | 5.2 | .692 | 1.2 | 1.2 | 2.4 | 0.4 | 2.8 | 0.6 | 0.4 | 2.6 | 13.0 | |
Cong Xuedi | China | 5 | 4.0 | 7.8 | .513 | 3.0 | 5.2 | .577 | 1.0 | 2.6 | .385 | .705 | 1.0 | 1.0 | 1.000 | 0.0 | 2.0 | 2.0 | 2.0 | 2.4 | 0.0 | 1.8 | 2.2 | 12.0 | |
Cynthia Cooper | United States | 5 | 2.8 | 4.8 | .583 | 0.4 | 0.8 | .500 | 2.4 | 4.0 | .600 | .625 | 1.6 | 1.8 | .889 | 0.8 | 0.6 | 1.4 | 1.0 | 2.4 | 0.0 | 2.2 | 1.4 | 7.6 | |
Daedra Charles | United States | 5 | 2.8 | 5.4 | .519 | 0.0 | 0.0 | 2.8 | 5.4 | .519 | .519 | 0.6 | 1.4 | .429 | 1.0 | 1.6 | 2.6 | 0.8 | 0.8 | 0.2 | 0.0 | 1.4 | 6.2 | ||
Dalia Henry | Cuba | 4 | 3.5 | 8.5 | .412 | 0.0 | 0.0 | 3.5 | 8.5 | .412 | .412 | 2.5 | 3.5 | .714 | 1.5 | 1.8 | 3.3 | 0.8 | 5.3 | 0.0 | 1.8 | 3.0 | 9.5 | ||
Elen Shakirova | Unified | 5 | 2.8 | 5.0 | .560 | 0.0 | 0.0 | 2.8 | 5.0 | .560 | .560 | 2.4 | 4.2 | .571 | 1.6 | 1.8 | 3.4 | 0.2 | 1.4 | 0.2 | 0.2 | 2.0 | 8.0 | ||
Elena Paparazzo | Italy | 2 | 0.5 | 1.0 | .500 | 0.0 | 0.0 | 0.5 | 1.0 | .500 | .500 | 0.5 | 0.5 | 1.000 | 0.5 | 0.0 | 0.5 | 0.0 | 0.5 | 0.0 | 0.5 | 1.5 | 1.5 | ||
Elisabeth Cebrián | Spain | 5 | 2.8 | 5.2 | .538 | 0.0 | 0.0 | 2.8 | 5.2 | .538 | .538 | 2.4 | 4.0 | .600 | 1.0 | 2.6 | 3.6 | 0.8 | 1.2 | 1.8 | 1.4 | 4.2 | 8.0 | ||
Erika Buriánová | Czechoslovakia | 5 | 4.0 | 11.0 | .364 | 0.2 | 0.2 | 1.000 | 3.8 | 10.8 | .352 | .373 | 4.8 | 7.6 | .632 | 1.2 | 5.0 | 6.2 | 2.2 | 2.8 | 1.6 | 3.6 | 3.8 | 13.0 | |
Eva Antalecová | Czechoslovakia | 4 | 0.5 | 2.0 | .250 | 0.0 | 0.0 | 0.5 | 2.0 | .250 | .250 | 0.0 | 0.0 | 0.5 | 0.3 | 0.8 | 1.3 | 1.5 | 0.0 | 0.5 | 1.0 | 1.0 | |||
Eva Berková | Czechoslovakia | 5 | 1.6 | 2.4 | .667 | 0.0 | 0.0 | 1.6 | 2.4 | .667 | .667 | 0.6 | 1.2 | .500 | 1.2 | 1.8 | 3.0 | 0.2 | 0.8 | 0.0 | 0.4 | 1.6 | 3.8 | ||
Eva Němcová | Czechoslovakia | 5 | 5.0 | 14.4 | .347 | 0.6 | 3.2 | .188 | 4.4 | 11.2 | .393 | .368 | 4.0 | 5.6 | .714 | 0.6 | 2.6 | 3.2 | 1.2 | 2.0 | 1.0 | 2.4 | 3.6 | 14.6 | |
Francesca Rossi | Italy | 5 | 2.6 | 6.4 | .406 | 0.0 | 0.0 | 2.6 | 6.4 | .406 | .406 | 1.4 | 2.8 | .500 | 1.6 | 2.4 | 4.0 | 1.2 | 1.6 | 0.0 | 2.6 | 4.0 | 6.6 | ||
Giuseppina Tufano | Italy | 1 | 1.0 | 1.0 | 1.000 | 0.0 | 0.0 | 1.0 | 1.0 | 1.000 | 1.000 | 1.0 | 1.0 | 1.000 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 | ||
Grisel Herrera | Cuba | 2 | 0.5 | 2.0 | .250 | 0.5 | 1.5 | .333 | 0.0 | 0.5 | .000 | .375 | 0.0 | 0.0 | 0.5 | 2.5 | 3.0 | 0.5 | 0.5 | 0.0 | 1.0 | 0.5 | 1.5 | ||
He Jun | China | 5 | 2.2 | 7.0 | .314 | 0.0 | 1.8 | .000 | 2.2 | 5.2 | .423 | .314 | 2.6 | 3.0 | .867 | 1.0 | 1.6 | 2.6 | 3.2 | 2.8 | 0.0 | 1.8 | 2.4 | 7.0 | |
Helen Luz | Brazil | 3 | 0.7 | 2.7 | .250 | 0.0 | 1.0 | .000 | 0.7 | 1.7 | .400 | .250 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | 0.0 | 0.0 | 1.0 | 1.3 | ||
Hortência Marcari | Brazil | 5 | 6.0 | 17.8 | .337 | 1.8 | 4.8 | .375 | 4.2 | 13.0 | .323 | .388 | 5.0 | 6.0 | .833 | 0.2 | 2.4 | 2.6 | 2.0 | 2.8 | 0.2 | 3.0 | 3.4 | 18.8 | |
Irina Gerlits | Unified | 3 | 0.7 | 1.0 | .667 | 0.0 | 0.0 | 0.7 | 1.0 | .667 | .667 | 0.0 | 0.3 | .000 | 0.7 | 0.3 | 1.0 | 0.3 | 0.7 | 0.3 | 0.0 | 0.3 | 1.3 | ||
Irina Minkh | Unified | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | ||||||
Irina Sumnikova | Unified | 5 | 2.2 | 4.2 | .524 | 0.0 | 0.6 | .000 | 2.2 | 3.6 | .611 | .524 | 2.0 | 3.4 | .588 | 0.0 | 0.6 | 0.6 | 4.2 | 3.2 | 0.0 | 2.4 | 1.8 | 6.4 | |
Iveta Bieliková | Czechoslovakia | 5 | 2.8 | 5.6 | .500 | 1.0 | 2.4 | .417 | 1.8 | 3.2 | .563 | .589 | 1.6 | 2.6 | .615 | 0.0 | 1.2 | 1.2 | 2.2 | 5.4 | 0.0 | 4.4 | 2.6 | 8.2 | |
Janeth Arcain | Brazil | 5 | 6.6 | 12.6 | .524 | 0.0 | 0.0 | 6.6 | 12.6 | .524 | .524 | 3.8 | 4.8 | .792 | 2.2 | 5.6 | 7.8 | 2.6 | 4.6 | 0.0 | 1.6 | 3.8 | 17.0 | ||
Joycenara Batista | Brazil | 3 | 0.3 | 0.7 | .500 | 0.0 | 0.0 | 0.3 | 0.7 | .500 | .500 | 0.7 | 0.7 | 1.000 | 0.0 | 0.3 | 0.3 | 0.0 | 0.3 | 0.0 | 0.7 | 0.7 | 1.3 | ||
Judith Águila | Cuba | 5 | 2.6 | 5.6 | .464 | 0.0 | 0.0 | 2.6 | 5.6 | .464 | .464 | 1.2 | 1.6 | .750 | 1.4 | 0.8 | 2.2 | 0.0 | 1.2 | 0.4 | 0.6 | 2.0 | 6.4 | ||
Kamila Vodičková | Czechoslovakia | 5 | 0.4 | 2.2 | .182 | 0.0 | 0.0 | 0.4 | 2.2 | .182 | .182 | 0.8 | 1.0 | .800 | 0.4 | 0.8 | 1.2 | 0.0 | 0.4 | 0.2 | 0.2 | 1.8 | 1.6 | ||
Katrina McClain | United States | 5 | 4.6 | 10.6 | .434 | 0.0 | 0.0 | 4.6 | 10.6 | .434 | .434 | 2.2 | 3.6 | .611 | 4.0 | 5.6 | 9.6 | 1.4 | 3.0 | 1.0 | 1.6 | 2.0 | 11.4 | ||
Li Dongmei | China | 5 | 3.0 | 5.4 | .556 | 0.0 | 0.0 | 3.0 | 5.4 | .556 | .556 | 1.2 | 1.2 | 1.000 | 0.8 | 3.6 | 4.4 | 1.2 | 1.6 | 1.6 | 0.4 | 2.6 | 7.2 | ||
Li Xin | China | 5 | 3.4 | 8.4 | .405 | 0.0 | 0.6 | .000 | 3.4 | 7.8 | .436 | .405 | 1.8 | 1.8 | 1.000 | 0.2 | 0.6 | 0.8 | 3.6 | 3.2 | 0.0 | 3.0 | 3.2 | 8.6 | |
Liset Castillo | Cuba | 5 | 3.0 | 8.4 | .357 | 0.2 | 0.8 | .250 | 2.8 | 7.6 | .368 | .369 | 1.4 | 2.8 | .500 | 0.2 | 2.6 | 2.8 | 1.0 | 2.0 | 0.0 | 2.6 | 2.6 | 7.6 | |
Liu Jun | China | 5 | 2.6 | 5.8 | .448 | 0.4 | 1.4 | .286 | 2.2 | 4.4 | .500 | .483 | 0.8 | 1.2 | .667 | 0.2 | 1.8 | 2.0 | 2.0 | 1.0 | 0.0 | 1.2 | 2.6 | 6.4 | |
Liu Qing | China | 5 | 1.4 | 1.8 | .778 | 0.0 | 0.0 | 1.4 | 1.8 | .778 | .778 | 1.0 | 1.6 | .625 | 0.6 | 1.8 | 2.4 | 0.0 | 0.4 | 0.2 | 0.4 | 2.0 | 3.8 | ||
Mara Fullin | Italy | 5 | 6.2 | 16.6 | .373 | 1.4 | 5.0 | .280 | 4.8 | 11.6 | .414 | .416 | 1.8 | 3.4 | .529 | 0.0 | 3.2 | 3.2 | 2.6 | 4.4 | 0.4 | 2.0 | 1.8 | 15.6 | |
Margarita Geuer | Spain | 5 | 3.6 | 10.0 | .360 | 0.0 | 0.0 | 3.6 | 10.0 | .360 | .360 | 3.0 | 6.6 | .455 | 2.6 | 6.2 | 8.8 | 1.0 | 2.6 | 0.8 | 2.2 | 3.4 | 10.2 | ||
María León | Cuba | 5 | 2.0 | 5.8 | .345 | 0.2 | 1.4 | .143 | 1.8 | 4.4 | .409 | .362 | 1.0 | 1.6 | .625 | 0.2 | 0.2 | 0.4 | 0.6 | 1.8 | 0.0 | 0.8 | 1.4 | 5.2 | |
Marina Ferragut | Spain | 4 | 1.8 | 4.3 | .412 | 0.3 | 0.8 | .333 | 1.5 | 3.5 | .429 | .441 | 1.8 | 2.3 | .778 | 0.8 | 1.0 | 1.8 | 0.3 | 0.5 | 0.0 | 0.5 | 1.8 | 5.5 | |
Marta Sobral | Brazil | 5 | 4.4 | 11.0 | .400 | 0.6 | 2.2 | .273 | 3.8 | 8.8 | .432 | .427 | 2.4 | 2.8 | .857 | 2.0 | 4.6 | 6.6 | 1.0 | 2.8 | 0.4 | 2.2 | 4.2 | 11.8 | |
Martina Liptáková | Czechoslovakia | 5 | 0.4 | 2.0 | .200 | 0.2 | 1.0 | .200 | 0.2 | 1.0 | .200 | .250 | 0.0 | 0.4 | .000 | 0.0 | 0.6 | 0.6 | 0.8 | 0.2 | 0.0 | 1.8 | 1.0 | 1.0 | |
Maryna Tkachenko | Unified | 2 | 0.0 | 1.0 | .000 | 0.0 | 0.5 | .000 | 0.0 | 0.5 | .000 | .000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | ||
Medina Dixon | United States | 5 | 7.0 | 10.4 | .673 | 0.2 | 0.8 | .250 | 6.8 | 9.6 | .708 | .683 | 1.6 | 2.6 | .615 | 1.6 | 2.2 | 3.8 | 2.2 | 4.8 | 0.2 | 1.8 | 1.0 | 15.8 | |
Milayda Enríquez | Cuba | 4 | 1.5 | 5.0 | .300 | 0.0 | 0.0 | 1.5 | 5.0 | .300 | .300 | 0.5 | 1.0 | .500 | 2.8 | 2.0 | 4.8 | 0.5 | 2.5 | 0.0 | 1.3 | 1.5 | 3.5 | ||
Milena Rázgová | Czechoslovakia | 2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | 0.0 | 0.0 | 0.5 | 0.0 | 1.0 | 0.0 | ||||||
Monica Bastiani | Italy | 3 | 2.0 | 3.7 | .545 | 0.3 | 1.3 | .250 | 1.7 | 2.3 | .714 | .591 | 0.7 | 1.3 | .500 | 0.0 | 1.7 | 1.7 | 0.0 | 2.0 | 0.0 | 0.3 | 0.3 | 5.0 | |
Mónica Messa | Spain | 5 | 1.4 | 3.6 | .389 | 1.0 | 2.4 | .417 | 0.4 | 1.2 | .333 | .528 | 0.0 | 0.6 | .000 | 0.0 | 1.6 | 1.6 | 1.8 | 2.0 | 0.0 | 0.8 | 0.4 | 3.8 | |
Mónica Pulgar | Spain | 4 | 0.3 | 1.3 | .200 | 0.0 | 0.3 | .000 | 0.3 | 1.0 | .250 | .200 | 0.3 | 0.8 | .333 | 0.0 | 0.3 | 0.3 | 0.5 | 0.8 | 0.0 | 0.5 | 2.0 | 0.8 | |
Nádia Bento de Lima | Brazil | 5 | 0.6 | 1.2 | .500 | 0.2 | 0.2 | 1.000 | 0.4 | 1.0 | .400 | .583 | 0.0 | 0.0 | 0.0 | 0.4 | 0.4 | 0.4 | 1.8 | 0.0 | 0.8 | 0.8 | 1.4 | ||
Nataliya Zasulskaya | Unified | 5 | 6.0 | 12.8 | .469 | 0.0 | 0.2 | .000 | 6.0 | 12.6 | .476 | .469 | 5.4 | 8.2 | .659 | 2.8 | 5.8 | 8.6 | 1.6 | 3.0 | 1.4 | 2.2 | 3.8 | 17.4 | |
Olena Zhyrko | Unified | 5 | 1.8 | 3.6 | .500 | 0.2 | 0.8 | .250 | 1.6 | 2.8 | .571 | .528 | 1.0 | 1.8 | .556 | 0.0 | 2.0 | 2.0 | 2.6 | 3.0 | 0.0 | 2.6 | 2.4 | 4.8 | |
Olga Vigil | Cuba | 5 | 2.6 | 6.0 | .433 | 0.2 | 0.8 | .250 | 2.4 | 5.2 | .462 | .450 | 1.4 | 2.4 | .583 | 1.4 | 1.6 | 3.0 | 1.4 | 3.0 | 0.0 | 2.6 | 3.4 | 6.8 | |
Patricia Hernández | Spain | 5 | 0.8 | 2.6 | .308 | 0.4 | 1.4 | .286 | 0.4 | 1.2 | .333 | .385 | 0.6 | 1.6 | .375 | 0.0 | 1.2 | 1.2 | 0.6 | 1.4 | 0.0 | 1.2 | 1.6 | 2.6 | |
Maria Paula Silva | Brazil | 5 | 5.6 | 16.0 | .350 | 2.0 | 8.2 | .244 | 3.6 | 7.8 | .462 | .413 | 2.8 | 4.0 | .700 | 0.2 | 3.8 | 4.0 | 4.6 | 3.8 | 0.0 | 3.2 | 3.0 | 16.0 | |
Peng Ping | China | 5 | 4.6 | 10.8 | .426 | 0.0 | 0.0 | 4.6 | 10.8 | .426 | .426 | 3.0 | 4.8 | .625 | 1.6 | 2.2 | 3.8 | 0.6 | 1.4 | 0.2 | 0.4 | 3.0 | 12.2 | ||
Simone Pontello | Brazil | 4 | 1.0 | 1.5 | .667 | 0.0 | 0.0 | 1.0 | 1.5 | .667 | .667 | 0.0 | 0.0 | 0.5 | 0.5 | 1.0 | 0.3 | 1.0 | 0.0 | 0.0 | 0.8 | 2.0 | |||
Regla Hernández | Cuba | 4 | 5.5 | 13.8 | .400 | 0.5 | 2.3 | .222 | 5.0 | 11.5 | .435 | .418 | 1.8 | 2.8 | .636 | 1.0 | 0.5 | 1.5 | 1.3 | 2.3 | 0.0 | 2.0 | 1.8 | 13.3 | |
Renáta Hiráková | Czechoslovakia | 5 | 1.4 | 3.2 | .438 | 0.0 | 0.0 | 1.4 | 3.2 | .438 | .438 | 0.8 | 1.2 | .667 | 1.2 | 1.8 | 3.0 | 0.2 | 0.6 | 0.0 | 0.0 | 1.6 | 3.6 | ||
Ruth Roberta de Souza | Brazil | 5 | 2.6 | 4.2 | .619 | 0.0 | 0.0 | 2.6 | 4.2 | .619 | .619 | 0.0 | 0.0 | 1.8 | 2.2 | 4.0 | 0.4 | 2.8 | 0.0 | 0.8 | 4.0 | 5.2 | |||
Silvia Todeschini | Italy | 5 | 1.8 | 5.4 | .333 | 0.2 | 1.6 | .125 | 1.6 | 3.8 | .421 | .352 | 4.8 | 5.6 | .857 | 0.0 | 2.0 | 2.0 | 3.2 | 1.4 | 0.0 | 1.6 | 3.6 | 8.6 | |
Stefania Passaro | Italy | 5 | 1.6 | 3.2 | .500 | 0.0 | 0.0 | 1.6 | 3.2 | .500 | .500 | 2.0 | 2.6 | .769 | 0.8 | 0.6 | 1.4 | 0.0 | 0.4 | 0.0 | 0.4 | 2.2 | 5.2 | ||
Stefania Salvemini | Italy | 1 | 1.0 | 1.0 | 1.000 | 0.0 | 0.0 | 1.0 | 1.0 | 1.000 | 1.000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 2.0 | |||
Stefania Stanzani | Italy | 5 | 0.8 | 4.4 | .182 | 0.4 | 2.2 | .182 | 0.4 | 2.2 | .182 | .227 | 0.8 | 1.2 | .667 | 1.6 | 1.6 | 3.2 | 0.6 | 0.4 | 0.2 | 1.0 | 1.8 | 2.8 | |
Suzie McConnell | United States | 5 | 2.8 | 7.8 | .359 | 1.0 | 3.8 | .263 | 1.8 | 4.0 | .450 | .423 | 0.2 | 0.4 | .500 | 0.2 | 0.8 | 1.0 | 3.6 | 5.2 | 0.0 | 2.0 | 1.6 | 6.8 | |
Svetlana Zaboluyeva | Unified | 4 | 1.5 | 4.0 | .375 | 0.5 | 1.0 | .500 | 1.0 | 3.0 | .333 | .438 | 2.3 | 2.5 | .900 | 0.3 | 1.3 | 1.5 | 3.0 | 2.0 | 0.0 | 3.5 | 1.8 | 5.8 | |
Tammy Jackson | United States | 5 | 2.6 | 5.2 | .500 | 0.0 | 0.2 | .000 | 2.6 | 5.0 | .520 | .500 | 2.0 | 3.2 | .625 | 1.2 | 2.8 | 4.0 | 1.0 | 1.4 | 0.6 | 1.4 | 3.0 | 7.2 | |
Teresa Edwards | United States | 5 | 5.2 | 14.0 | .371 | 1.0 | 4.8 | .208 | 4.2 | 9.2 | .457 | .407 | 1.2 | 2.0 | .600 | 0.0 | 0.4 | 0.4 | 5.4 | 3.6 | 0.2 | 3.2 | 1.4 | 12.6 | |
Teresa Weatherspoon | United States | 5 | 0.4 | 2.0 | .200 | 0.0 | 0.0 | 0.4 | 2.0 | .200 | .200 | 1.4 | 1.6 | .875 | 0.2 | 0.0 | 0.2 | 1.0 | 1.6 | 0.0 | 1.0 | 1.6 | 2.2 | ||
Vânia Hernandes | Brazil | 5 | 1.0 | 3.2 | .313 | 0.0 | 0.0 | 1.0 | 3.2 | .313 | .313 | 0.6 | 1.0 | .600 | 1.0 | 1.4 | 2.4 | 0.0 | 2.2 | 0.0 | 0.8 | 3.0 | 2.6 | ||
Vickie Orr | United States | 5 | 3.2 | 7.2 | .444 | 0.0 | 0.0 | 3.2 | 7.2 | .444 | .444 | 1.2 | 1.4 | .857 | 2.2 | 3.2 | 5.4 | 0.2 | 1.2 | 0.4 | 1.2 | 2.0 | 7.6 | ||
Vicky Bullett | United States | 4 | 1.3 | 4.0 | .313 | 0.0 | 0.0 | 1.3 | 4.0 | .313 | .313 | 0.5 | 0.5 | 1.000 | 0.5 | 1.0 | 1.5 | 0.3 | 2.5 | 0.5 | 0.3 | 2.0 | 3.0 | ||
Wang Fang | China | 5 | 1.2 | 5.6 | .214 | 0.4 | 1.8 | .222 | 0.8 | 3.8 | .211 | .250 | 0.6 | 0.8 | .750 | 0.0 | 0.6 | 0.6 | 1.2 | 2.2 | 0.0 | 0.8 | 1.2 | 3.4 | |
Yamilé Martínez | Cuba | 5 | 4.2 | 10.4 | .404 | 0.0 | 0.0 | 4.2 | 10.4 | .404 | .404 | 1.4 | 4.0 | .350 | 3.8 | 3.0 | 6.8 | 0.6 | 2.0 | 0.0 | 1.0 | 3.2 | 9.8 | ||
Yelena Baranova | Unified | 4 | 0.8 | 1.5 | .500 | 0.0 | 0.3 | .000 | 0.8 | 1.3 | .600 | .500 | 0.0 | 0.0 | 0.8 | 0.5 | 1.3 | 0.5 | 0.5 | 0.5 | 0.8 | 1.5 | 1.5 | ||
Yelena Khudashova | Unified | 5 | 6.2 | 12.0 | .517 | 0.0 | 0.0 | 6.2 | 12.0 | .517 | .517 | 1.8 | 2.0 | .900 | 1.6 | 4.6 | 6.2 | 0.8 | 1.8 | 1.4 | 1.0 | 1.8 | 14.2 | ||
Yelena Shvaybovich | Unified | 5 | 3.2 | 5.2 | .615 | 0.6 | 1.6 | .375 | 2.6 | 3.6 | .722 | .673 | 2.8 | 4.0 | .700 | 0.4 | 1.0 | 1.4 | 2.4 | 2.0 | 0.0 | 1.8 | 2.6 | 9.8 | |
Yelena Tornikidu | Unified | 5 | 5.2 | 11.2 | .464 | 0.0 | 0.2 | .000 | 5.2 | 11.0 | .473 | .464 | 2.2 | 2.6 | .846 | 1.4 | 3.2 | 4.6 | 3.2 | 3.6 | 0.8 | 1.4 | 3.2 | 12.6 | |
Maria José Bertolotti | Brazil | 2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | ||||||
Zhan Shuping | China | 4 | 2.0 | 4.3 | .471 | 0.0 | 0.0 | 2.0 | 4.3 | .471 | .471 | 1.5 | 2.5 | .600 | 1.0 | 0.8 | 1.8 | 0.0 | 0.3 | 0.0 | 0.3 | 1.5 | 5.5 | ||
Zheng Dongmei | China | 5 | 2.0 | 5.2 | .385 | 0.8 | 2.0 | .400 | 1.2 | 3.2 | .375 | .462 | 0.6 | 1.4 | .429 | 0.0 | 0.6 | 0.6 | 1.2 | 1.8 | 0.0 | 1.4 | 2.2 | 5.4 | |
Zheng Haixia | China | 4 | 2.5 | 4.3 | .588 | 0.0 | 0.0 | 2.5 | 4.3 | .588 | .588 | 2.0 | 2.8 | .727 | 1.0 | 4.8 | 5.8 | 0.0 | 0.3 | 0.0 | 1.5 | 1.0 | 7.0 |
We're Social...for Statheads
Every Sports Reference Social Media Account
Site Last Updated: Saturday, November 16, 6:47AM
Question, Comment, Feedback, or Correction?
Subscribe to our Free Email Newsletter
Subscribe to Stathead Basketball: Get your first month FREE
Your All-Access Ticket to the Basketball Reference Database
Do you have a sports website? Or write about sports? We have tools and resources that can help you use sports data. Find out more.