1 9 01/09/16 קנטרי רעננה כהן ירדן 1 0 0 1 האס לילי - מזרחי מגי 1800177 1800171 57.66 0 3 2 ריינהארט מימי - אהרוני פנינה 1800164 1800162 51.56 0 2 3 שרון צבי - דורה אבן 9670 1800564 51.17 0 2 4 שתדלר נעמי - אטלסוביץ שושנה 7849 20189 50.78 0 5 לוין רות - פומרנץ ציפורה 1800184 1800172 48.63 0 6 מצא צפרירה - בלוך מרים 9683 9014 38.28 0 1 0 0 1 גרדמן עליזה - דוברנקו איילין 1800168 1800169 59.69 0 3 2 רנה גוטליב - קליגסברג אינגה 1800562 1800165 58.75 0 2 3 גלעדי דורית - קיבל ריקי 7339 13779 49.38 0 4 לסינגר מיה - טרנר אפרים 4735 1648 46.72 0 5 יונת דורית - פירר אידה 17046 23787 35.47 0 1,101,37.50,62.50,-430,-430 6,105,0.00,100.00,-450,-450 5,103,37.50,62.50,-430,-430 4,106,100.00,0.00,100,100 3,104,75.00,25.00,50,50 1,101,37.50,62.50,-140,-140 6,105,37.50,62.50,-140,-140 5,103,87.50,12.50,50,50 4,106,87.50,12.50,50,50 3,104,0.00,100.00,-400,-400 1,101,12.50,87.50,-200,-200 6,105,12.50,87.50,-200,-200 5,103,87.50,12.50,200,200 4,106,87.50,12.50,200,200 3,104,50.00,50.00,100,100 1,101,37.50,62.50,-110,-110 6,105,37.50,62.50,-110,-110 5,103,0.00,100.00,-140,-140 4,106,75.00,25.00,-100,-100 3,104,100.00,0.00,100,100 2,102,38.28,487.50,1/2 T.,1/2 T. 1,106,96.88,3.13,-100,-100 6,104,65.63,34.38,-110,-110 5,101,18.75,81.25,-200,-200 4,105,18.75,81.25,-200,-200 2,102,38.28,487.50,1/2 T.,1/2 T. 1,106,81.25,18.75,200,200 6,104,3.13,96.88,110,110 5,101,34.38,65.63,130,130 4,105,81.25,18.75,200,200 2,102,38.28,487.50,1/2 T.,1/2 T. 1,106,65.63,34.38,110,110 6,104,65.63,34.38,110,110 5,101,65.63,34.38,110,110 4,105,3.13,96.88,-200,-200 2,102,38.28,487.50,1/2 T.,1/2 T. 1,106,34.38,65.63,50,50 6,104,65.63,34.38,110,110 5,101,96.88,3.13,480,480 4,105,3.13,96.88,-50,-50 3,103,96.88,3.13,200,200 2,101,34.38,65.63,100,100 1,105,65.63,34.38,120,120 6,102,50.78,487.50,1/2 T.,1/2 T. 5,106,3.13,96.88,-100,-100 3,103,65.63,34.38,720,720 2,101,34.38,65.63,710,710 1,105,96.88,3.13,1440,1440 6,102,50.78,487.50,1/2 T.,1/2 T. 5,106,3.13,96.88,260,260 3,103,18.75,81.25,-400,-400 2,101,65.63,34.38,-150,-150 1,105,18.75,81.25,-400,-400 6,102,50.78,487.50,1/2 T.,1/2 T. 5,106,96.88,3.13,100,100 3,103,34.38,65.63,-120,-120 2,101,96.88,3.13,150,150 1,105,3.13,96.88,-200,-200 6,102,50.78,487.50,1/2 T.,1/2 T. 5,106,65.63,34.38,-110,-110 4,104,3.13,96.88,90,90 3,102,51.56,487.50,1/2 T.,1/2 T. 2,106,34.38,65.63,120,120 1,103,96.88,3.13,300,300 6,101,65.63,34.38,140,140 4,104,96.88,3.13,-110,-110 3,102,51.56,487.50,1/2 T.,1/2 T. 2,106,34.38,65.63,-150,-150 1,103,3.13,96.88,-400,-400 6,101,65.63,34.38,-130,-130 4,104,3.13,96.88,-420,-420 3,102,51.56,487.50,1/2 T.,1/2 T. 2,106,81.25,18.75,-140,-140 1,103,34.38,65.63,-170,-170 6,101,81.25,18.75,-140,-140 4,104,3.13,96.88,-100,-100 3,102,51.56,487.50,1/2 T.,1/2 T. 2,106,65.63,34.38,400,400 1,103,96.88,3.13,1100,1100 6,101,34.38,65.63,-50,-50 5,105,50.00,50.00,90,90 4,103,96.88,3.13,130,130 3,101,50.00,50.00,90,90 2,104,3.13,96.88,-50,-50 1,102,51.17,487.50,1/2 T.,1/2 T. 5,105,96.88,3.13,110,110 4,103,34.38,65.63,-100,-100 3,101,65.63,34.38,90,90 2,104,3.13,96.88,-200,-200 1,102,51.17,487.50,1/2 T.,1/2 T. 5,105,96.88,3.13,-130,-130 4,103,65.63,34.38,-620,-620 3,101,34.38,65.63,-650,-650 2,104,3.13,96.88,-750,-750 1,102,51.17,487.50,1/2 T.,1/2 T. 5,105,65.63,34.38,-650,-650 4,103,18.75,81.25,-680,-680 3,101,96.88,3.13,-600,-600 2,104,18.75,81.25,-680,-680 1,102,51.17,487.50,1/2 T.,1/2 T. 6,106,96.88,3.13,100,100 5,104,65.63,34.38,-430,-430 4,102,48.63,487.50,1/2 T.,1/2 T. 3,105,18.75,81.25,-990,-990 2,103,18.75,81.25,-990,-990 6,106,81.25,18.75,450,450 5,104,81.25,18.75,450,450 4,102,48.63,487.50,1/2 T.,1/2 T. 3,105,34.38,65.63,430,430 2,103,3.13,96.88,420,420 6,106,3.13,96.88,-300,-300 5,104,34.38,65.63,-140,-140 4,102,48.63,487.50,1/2 T.,1/2 T. 3,105,81.25,18.75,100,100 2,103,81.25,18.75,100,100 6,106,96.88,3.13,100,100 5,104,65.63,34.38,50,50 4,102,48.63,487.50,1/2 T.,1/2 T. 3,105,3.13,96.88,-490,-490 2,103,34.38,65.63,-420,-420 18 3.0.1604.27 qBLCxPYLFuRJYQGYQWciN7RN/8muSoEk8R7vTUP1qbl+ycKN0SSurGalo02MbeZ1OsiDWpCjbHpDxCcwrP5j44Cvib7QGo+Foq9a6REBlAs= qBLCxPYLFuRJYQGYQWciN7RN/8muSoEk8R7vTUP1qbn3gELXoTphsQUv/3Pdl68aZpTNA6uDAQeZHDp3aznoIoCvib7QGo+Foq9a6REBlAs= qBLCxPYLFuRJYQGYQWciN7RN/8muSoEk8R7vTUP1qbkep8kulauAgysUbXUnZSYhKoLWXMdh2Pji0CnaISAgzYCvib7QGo+Foq9a6REBlAs= qBLCxPYLFuRJYQGYQWciN7RN/8muSoEk8R7vTUP1qblgRgdUJFvvPPqfCrpURm0i7wq8H34eAeh5m5lU53VbPYCvib7QGo+Foq9a6REBlAs= qBLCxPYLFuRJYQGYQWciN7RN/8muSoEk8R7vTUP1qbkh+IG7CfzMUsldP+BHsW14t+4ZaA+RTXHj6dWv2AZLbSQquW1uVQpgYw8BT3rwuM4= qKoCvsA9DGb/UADwaRnfaM0peq65BhxtcM/gmngKzyY=