Navi Mumbai
World Cup 2016

World Cup Navi Mumbai 2016

May 14, 2016

80 Athletes

Competition results are pulled after the event concludes.
Problem difficulties are calculated based on the Elo of athletes that did/didn't climb them.
If a competition has been fully analysed problem features will also be shown for semi-finals and finals.

    Problems Zones/Tops (success count) difficulty

    Q1

    Z: (30) 1779 ■ T: (19) 1997 ■

    Q3

    Z: (26) 1843 ■ T: (00) 2423 ■

    Q4

    Z: (22) 1916 ■ T: (13) 2126 ■

    Q5

    Z: (31) 1731 ■ T: (25) 1889 ■

    Q2

    Z: (22) 1926 ■ T: (10) 2170 ■
Each athlete's attempts, zones and tops have been converted into Elo match-ups with the problem. This will lead to either a gain or loss in Elo.
The problem receives the opposite effect.

The expected position is based on the athlete Elo going into the competition.
AthletePre-Elo1
1997		2
1926		3
2423		4
2126		5
1731		Event ScorePost-Elo
1 M L.NEVE FRA ▲ 2 better than predicted20281Z 1T
▲ 25 Elo
1Z 1T
▲ 29 Elo
1Z
▲ 6 Elo
1Z 1T
▲ 19 Elo
1Z 1T
▲ 10 Elo
110.02117
1 A NOGUCHI JPN ▲ 2 better than predicted19831Z 1T
▲ 27 Elo
1Z 1T
▲ 30 Elo
1Z
▲ 7 Elo
1Z 1T
▲ 28 Elo
1Z 1T
▲ 21 Elo
110.02096
1 M NONAKA JPN ▼ 1 worse than predicted19801Z 1T
▲ 26 Elo
1Z 1T
▲ 30 Elo
1Z
▲ 7 Elo
1Z 1T
▲ 28 Elo
1Z 1T
▲ 21 Elo
110.02092
4 H LEE TPE ▲ 13 better than predicted16311Z 1T
▲ 37 Elo
1Z 2T
▲ 37 Elo
1Z
▲ 17 Elo
1Z 1T
▲ 37 Elo
1Z 1T
▲ 34 Elo
109.91793
4 S COXSEY GBR ▼ 4 worse than predicted21151Z 1T
▲ 9 Elo
1Z 2T
▲ 8 Elo
1Z
▲ 1 Elo
1Z 1T
▲ 11 Elo
1Z 1T
▲ 8 Elo
109.92152
6 C KAISER FRA ▲ 2 better than predicted17591Z 1T
▲ 34 Elo
1Z 1T
▲ 35 Elo
1Z
▲ 14 Elo
2Z 2T
▲ 29 Elo
1Z 1T
▲ 29 Elo
109.81900
7 M KOTAKE JPN ▲ 7 better than predicted17741Z 1T
▲ 33 Elo
2Z 4T
▲ 25 Elo
2Z
▲ 10 Elo
2Z 2T
▲ 27 Elo
1Z 1T
▲ 29 Elo
109.31898
8 F GIBERT FRA ▼ 1 worse than predicted18541Z 1T
▲ 29 Elo
1Z 1T
▲ 32 Elo
2Z
▲ 5 Elo
1Z
▲ 6 Elo
1Z 1T
▲ 25 Elo
94.91951
8 S SA KOR ▲ 1 better than predicted18761Z 2T
▲ 21 Elo
1Z
▲ 6 Elo
1Z
▲ 10 Elo
1Z 1T
▲ 28 Elo
1Z 1T
▲ 22 Elo
94.91963
10 A SAKAMOTO JPN ▲ 1 better than predicted16023Z
▲ 16 Elo
1Z 1T
▲ 57 Elo
1Z
▲ 25 Elo
1Z 1T
▲ 55 Elo
1Z 1T
▲ 48 Elo
94.81803
11 K SAURWEIN AUT ▼ 2 worse than predicted17521Z 2T
▲ 28 Elo
3Z
▲ 4 Elo
1Z
▲ 14 Elo
1Z 1T
▲ 32 Elo
1Z 1T
▲ 27 Elo
94.71857
12 A YIP CAN ▲ 3 better than predicted17371Z 2T
▲ 40 Elo
1Z 3T
▲ 44 Elo
1Z
▲ 18 Elo
1Z
▲ 9 Elo
1Z 2T
▲ 26 Elo
94.61874
13 A ONOE JPN ▲ 3 better than predicted18401Z 2T
▲ 21 Elo
1Z
▲ 7 Elo
1Z
▲ 11 Elo
2Z 3T
▲ 14 Elo
1Z 1T
▲ 22 Elo
94.61915
13 K SINNHUBER AUT ▲ 4 better than predicted18111Z 1T
▲ 30 Elo
5Z
▼ 9 Elo
1Z
▲ 13 Elo
1Z 1T
▲ 32 Elo
1Z 1T
▲ 26 Elo
94.61903
15 L CRANE GBR ▼ 10 worse than predicted18931Z 1T
▲ 24 Elo
1Z
▲ 4 Elo
3Z
▼ 7 Elo
3Z 3T
▲ 3 Elo
1Z 1T
▲ 22 Elo
94.41939
16 B SCHWAIGER AUT ▼ 4 worse than predicted18371Z 1T
▲ 25 Elo
1Z
▲ 5 Elo
1Z
▲ 11 Elo
1Z
▲ 3 Elo
1Z 1T
▲ 22 Elo
80.01903
17 M RETSCHY GER ▼ 11 worse than predicted19051Z 4T
▼ 6 Elo
2Z
▼ 5 Elo
1Z
▲ 8 Elo
1Z
▲ 1 Elo
1Z 1T
▲ 19 Elo
79.61922
18 E SETHNA CAN ▲ 7 better than predicted14961Z 1T
▲ 36 Elo
-
▼ 4 Elo
3Z
▲ 14 Elo
1Z
▲ 17 Elo
1Z 2T
▲ 33 Elo
69.71593
19 L CHULICH USA ▲ 1 better than predicted16211Z 1T
▲ 33 Elo
1Z
▲ 14 Elo
1Z
▲ 15 Elo
-
▼ 11 Elo
3Z 3T
▲ 14 Elo
69.61690
20 J PINGGERA AUT ▼ 1 worse than predicted15813Z 4T
▲ 20 Elo
1Z
▲ 15 Elo
-
▼ 8 Elo
1Z
▲ 15 Elo
1Z 2T
▲ 29 Elo
69.41656
21 V ZIJLSTRA NED ▬15891Z
▲ 9 Elo
1Z
▲ 16 Elo
6Z
▼ 2 Elo
2Z
▲ 12 Elo
5Z 5T
▼ 7 Elo
63.61617
22 M ČELKOVÁ SVK ▲ 16 better than predicted14561Z
▲ 15 Elo
-
▼ 3 Elo
2Z
▲ 16 Elo
1Z
▲ 17 Elo
1Z 1T
▲ 36 Elo
54.91538
23 J KRUDER SLO ▼ 10 worse than predicted16151Z
▲ 8 Elo
1Z
▲ 15 Elo
3Z
▲ 8 Elo
-
▼ 9 Elo
2Z 2T
▲ 19 Elo
54.61659
24 A VEST CAN ▼ 1 worse than predicted14831Z
▲ 20 Elo
7Z
▲ 9 Elo
3Z
▲ 20 Elo
-
▼ 9 Elo
5Z 5T
▲ 15 Elo
53.11541
25 N BIYARJOMAN. IRI ▼ 3 worse than predicted15841Z
▲ 15 Elo
-
▼ 10 Elo
-
▼ 11 Elo
-
▼ 11 Elo
1Z 1T
▲ 49 Elo
35.01629
26 S SOLTANI IRI ▼ 2 worse than predicted15841Z
▲ 13 Elo
-
▼ 12 Elo
-
▼ 11 Elo
1Z
▲ 22 Elo
1Z
▲ 8 Elo
30.01614
27 A BIGVAND IRI ▬15842Z
▲ 3 Elo
-
▼ 11 Elo
1Z
▲ 24 Elo
-
▼ 13 Elo
-
▼ 28 Elo
19.91577
27 C MARAK IND at home ▼ 2 worse than predicted15842Z
▲ 3 Elo
-
▼ 11 Elo
-
▼ 11 Elo
-
▼ 11 Elo
1Z
▲ 11 Elo
19.91578
27 S PEARCE USA ▼ 1 worse than predicted1584-
▼ 27 Elo
-
▼ 10 Elo
2Z
▲ 20 Elo
-
▼ 12 Elo
1Z
▲ 11 Elo
19.91584
30 P TAMANG NEP ▲ 4 better than predicted15847Z
▼ 35 Elo
-
▼ 9 Elo
-
▼ 10 Elo
-
▼ 9 Elo
2Z
▲ 7 Elo
19.11539
31 S M. IND at home ▼ 2 worse than predicted1584-
▼ 24 Elo
-
▼ 10 Elo
-
▼ 11 Elo
-
▼ 10 Elo
1Z
▲ 12 Elo
10.01563
32 S SINGH IND at home ▼ 2 worse than predicted1584-
▼ 23 Elo
-
▼ 10 Elo
-
▼ 10 Elo
-
▼ 11 Elo
2Z
▲ 3 Elo
9.91554
33 N PRAKASH IND at home ▼ 2 worse than predicted1584-
▼ 22 Elo
-
▼ 10 Elo
3Z
▲ 14 Elo
-
▼ 11 Elo
-
▼ 29 Elo
9.81552
34 S DEVI IND at home ▼ 2 worse than predicted15844Z
▼ 7 Elo
-
▼ 9 Elo
-
▼ 13 Elo
-
▼ 9 Elo
-
▼ 27 Elo
9.71541
35 M DESHMUKH IND at home ▲ 1 better than predicted1584-
▼ 21 Elo
-
▼ 9 Elo
-
▼ 11 Elo
-
▼ 9 Elo
-
▼ 24 Elo
0.01537
35 D LEKURWALA IND at home ▼ 1 worse than predicted1584-
▼ 21 Elo
-
▼ 9 Elo
-
▼ 10 Elo
-
▼ 9 Elo
-
▼ 24 Elo
0.01538
35 F SONALI IND at home ▼ 4 worse than predicted1584-
▼ 20 Elo
-
▼ 8 Elo
-
▼ 10 Elo
-
▼ 10 Elo
-
▼ 23 Elo
0.01539
35 P DANGI IND at home ▼ 1 worse than predicted1584-
▼ 22 Elo
-
▼ 9 Elo
-
▼ 11 Elo
-
▼ 9 Elo
-
▼ 25 Elo
0.01536
HSF Logo

1.3.5_m.14

hadesoft@proton.me