# Odd WCA stats/ Stats request Thread

#### AlphaSheep

##### Member
I don't know how to word this in a good way, but what is the most number of different competitors a single competitor has shared a comp with?
Prediction: Ron van Bruchem (6636.)
When I ran this stat back in March, Ron was 5th. First was Ming Zheng with 7220. I'll run it again when I get a chance because I'm actually curious how it's changed. Some really big comps this year (Worlds, US Nats, China 10th Anniversary) could have made a big impact.

#### guysensei1

##### Member
2 ends of a spectrum here,

Which 2 competitors have been to the most competitions together? And how many comps is that?

Which 2 competitions have the largest group of cubers in common? And how many cubers is that?

#### AlphaSheep

##### Member
I don't know how to word this in a good way, but what is the most number of different competitors a single competitor has shared a comp with?
Competitors sorted by number of people they've been to competitions with. The number you want is the first number in the distribution list.
Code:
1.    2009ZHEN11  Average: 0.946    Distribution: [10024, 71026, 5360, 0, 0, 0]
2.    2009CHAN04  Average: 0.958    Distribution: [7325, 75360, 3725, 0, 0, 0]
3.    2007VALK01  Average: 0.945    Distribution: [7220, 76713, 2477, 0, 0, 0]
4.    2008DONG06  Average: 1.011    Distribution: [6916, 71643, 7851, 0, 0, 0]
5.    2008SEAR01  Average: 0.984    Distribution: [6661, 74492, 5257, 0, 0, 0]
6.    2003BRUC01  Average: 0.954    Distribution: [6636, 77085, 2689, 0, 0, 0]
7.    2005REYN01  Average: 0.965    Distribution: [6635, 76172, 3603, 0, 0, 0]
8.    2009HAYS01  Average: 0.965    Distribution: [6586, 76297, 3527, 0, 0, 0]
9.    2005FLEI01  Average: 0.971    Distribution: [6543, 75804, 4063, 0, 0, 0]
10.    2004CHAN04  Average: 0.973    Distribution: [6498, 75777, 4135, 0, 0, 0]
11.    2009ZEMD01  Average: 0.966    Distribution: [6343, 76626, 3441, 0, 0, 0]
12.    2010WANG53  Average: 1.019    Distribution: [6089, 72613, 7708, 0, 0, 0]
13.    2010CANT02  Average: 0.984    Distribution: [6086, 75655, 4669, 0, 0, 0]
14.    2006KRUE01  Average: 1.034    Distribution: [6001, 71444, 8959, 6, 0, 0]
15.    2009ZHAN53  Average: 0.988    Distribution: [5663, 76108, 4639, 0, 0, 0]
16.    2008RIJK01  Average: 0.969    Distribution: [5638, 77790, 2982, 0, 0, 0]
17.    2005KOCZ01  Average: 0.984    Distribution: [5626, 76513, 4271, 0, 0, 0]
18.    2003BURT01  Average: 1.012    Distribution: [5608, 74157, 6645, 0, 0, 0]
19.    2009DIEC01  Average: 0.997    Distribution: [5516, 75662, 5232, 0, 0, 0]
20.    2008AURO01  Average: 0.99    Distribution: [5404, 76425, 4581, 0, 0, 0]
21.    2007HESS01  Average: 1.085    Distribution: [5388, 68323, 12699, 0, 0, 0]
22.    2008CLEM01  Average: 1.016    Distribution: [5308, 74407, 6695, 0, 0, 0]
23.    2006ARAK01  Average: 0.98    Distribution: [5305, 77494, 3611, 0, 0, 0]
24.    2009HILD01  Average: 1.097    Distribution: [5232, 67528, 13650, 0, 0, 0]
25.    2007HASH01  Average: 0.988    Distribution: [5205, 77004, 4201, 0, 0, 0]
26.    2009OLSO01  Average: 1.024    Distribution: [5195, 73932, 7283, 0, 0, 0]
27.    2008JEWR01  Average: 1.112    Distribution: [5177, 66341, 14892, 0, 0, 0]
28.    2011BANS02  Average: 1.0    Distribution: [5118, 76214, 5078, 0, 0, 0]
29.    2006GARR01  Average: 1.004    Distribution: [5064, 75934, 5412, 0, 0, 0]
30.    2010MALL01  Average: 1.009    Distribution: [5026, 75603, 5781, 0, 0, 0]
31.    2008CHOI04  Average: 0.995    Distribution: [5025, 76829, 4556, 0, 0, 0]
32.    2008MIZU01  Average: 1.017    Distribution: [4977, 75008, 6425, 0, 0, 0]
33.    2007VALL01  Average: 0.997    Distribution: [4948, 76764, 4698, 0, 0, 0]
34.    2011SAKO01  Average: 1.131    Distribution: [4934, 65240, 16206, 30, 0, 0]
35.    2007CHUE01  Average: 1.05    Distribution: [4914, 72280, 9216, 0, 0, 0]
36.    2010BURN01  Average: 1.021    Distribution: [4867, 74847, 6696, 0, 0, 0]
37.    2010ZHAO19  Average: 1.239    Distribution: [4832, 56193, 25328, 57, 0, 0]
38.    2008LIKA01  Average: 1.171    Distribution: [4792, 62073, 19539, 6, 0, 0]
39.    2013FENG02  Average: 1.315    Distribution: [4791, 49666, 31911, 42, 0, 0]
40.    2011DWYE02  Average: 1.141    Distribution: [4788, 64701, 16885, 36, 0, 0]
41.    2012PANJ02  Average: 1.043    Distribution: [4780, 73119, 8511, 0, 0, 0]
42.    2008VIRO01  Average: 1.014    Distribution: [4765, 75629, 6016, 0, 0, 0]
43.    2012CANT01  Average: 1.003    Distribution: [4750, 76684, 4976, 0, 0, 0]
44.    2007GOUL01  Average: 1.006    Distribution: [4723, 76428, 5259, 0, 0, 0]
45.    2007LIME01  Average: 1.021    Distribution: [4715, 75159, 6536, 0, 0, 0]
46.    2013HUAN29  Average: 1.017    Distribution: [4703, 75575, 6132, 0, 0, 0]
47.    2010BENT01  Average: 1.013    Distribution: [4696, 75860, 5854, 0, 0, 0]
48.    2008YOUN02  Average: 1.021    Distribution: [4695, 75221, 6494, 0, 0, 0]
49.    2011WANG33  Average: 1.058    Distribution: [4684, 71992, 9734, 0, 0, 0]
50.    2008COUR01  Average: 1.047    Distribution: [4682, 73013, 8715, 0, 0, 0]
...
86391.    2005JOHA01  Average: 2.57    Distribution: [9, 504, 36858, 48316, 723, 0]
86392.    2012ALFA02  Average: 1.951    Distribution: [9, 6936, 76776, 2689, 0, 0]
86393.    2005ERIC01  Average: 2.57    Distribution: [9, 504, 36858, 48316, 723, 0]
86394.    2013ASRI01  Average: 2.283    Distribution: [9, 2332, 57273, 26752, 44, 0]
86395.    2012LUKA01  Average: 1.951    Distribution: [9, 6936, 76776, 2689, 0, 0]
86396.    2017OEYT01  Average: 1.966    Distribution: [9, 8525, 72297, 5579, 0, 0]
86397.    2013CRON02  Average: 2.002    Distribution: [9, 5474, 75285, 5642, 0, 0]
86398.    2012ISSI01  Average: 1.951    Distribution: [9, 6936, 76776, 2689, 0, 0]
86399.    2005WASS01  Average: 2.57    Distribution: [9, 504, 36858, 48316, 723, 0]
86400.    2010GJOS01  Average: 2.154    Distribution: [9, 2965, 67141, 16289, 6, 0]
86401.    2012EIDR01  Average: 1.951    Distribution: [9, 6936, 76776, 2689, 0, 0]
86402.    2012DOOF01  Average: 1.951    Distribution: [9, 6936, 76776, 2689, 0, 0]
86403.    2017LAWR04  Average: 2.496    Distribution: [8, 1308, 41043, 43890, 161, 0]
86404.    2017POTT03  Average: 2.192    Distribution: [8, 3415, 62975, 19976, 36, 0]
86405.    2017AHME10  Average: 2.496    Distribution: [8, 1308, 41043, 43890, 161, 0]
86406.    2017HUYN02  Average: 2.192    Distribution: [8, 3415, 62975, 19976, 36, 0]
86407.    2016MONZ02  Average: 1.952    Distribution: [6, 6798, 76917, 2689, 0, 0]
86408.    2016VALD03  Average: 1.952    Distribution: [6, 6798, 76917, 2689, 0, 0]
86409.    2016MONZ01  Average: 1.952    Distribution: [6, 6798, 76917, 2689, 0, 0]
86410.    2016GONZ10  Average: 1.952    Distribution: [6, 6798, 76917, 2689, 0, 0]

#### whatshisbucket

##### Member
Are the subsequent numbers in each distribution the numbers of people with minimal distances of 2, 3, etc. from the competitor in question?

#### JustinTimeCuber

##### Member
Everyone with a faster 3x3 average than me has a faster single.
Yeah, all 346 of them. Interesting stat.

I'm wondering how many people can say this?

#### applezfall

##### Member
how many people with a slower 2x2 average then me have a better single than me (a lot probably)

#### GenTheThief

##### Member
Everyone with a faster 3x3 average than me has a faster single.
Yeah, all 346 of them. Interesting stat.

I'm wondering how many people can say this?
Well, it is a pretty crappy single

Everyone with a faster 3x3 average than me also has a faster sequence of 5 solves such that the mean of the middle 3 are faster than my average.

#### thecubingwizard

##### Member
What is the largest magnitude of the absolute value of the difference in World Single ranking and World Average (or mean) ranking for all events, given that the person has results for both single and average in that particular event?

#### Dancing Jules

##### Member
What is the largest magnitude of the absolute value of the difference in World Single ranking and World Average (or mean) ranking for all events, given that the person has results for both single and average in that particular event?
I just found a good candidate: 2009RUSE01 is #5739 WR 2x2 single (3.08 seconds) and #45843 WR 2x2 average (26.98 seconds).

#### Linxiao

##### Member
Sorry if someone else already asked this but has anyone got a WR/CR/NR single for his/her solve then get another WR/CR/NR single in the same average? E.g. Oliver Tafunai of Samoa has got a 36.95 (NR) for his 1st solve, then got a 27.05 (another NR) for his 2nd.
Just saw this post.
In Shantou Open 2014, Xiao Hu broke the single AsR of skewb at the second attempt, and then tied that score at the fourth attempt.

#### James Hake

##### Member
idk if this is the right thread for this, but so far the three people with 5.xx sq1 singles dont have any 6.xx singles

#### whatshisbucket

##### Member
idk if this is the right thread for this, but so far the three people with 5.xx sq1 singles dont have any 6.xx singles
Charlie has a 6.89.

#### James Hake

##### Member
Charlie has a 6.89.
ah, i just saw that

in that case, all three got 5s before 6s

#### Gomorrite

##### Member
Assuming the number of WCA keeps growing at the same average pace of the last 5 years (2013-2017), around 2052 the whole population of the Earth will be competing!

Code:
Year   WCA competitors     Earth population   %
2018   51958               7490427640         0,001%
2019   74173               7567402977         0,001%
2020   105885              7643402123         0,001%
2021   151155              7718256830         0,002%
2022   215781              7792021317         0,003%
2023   308036              7864725370         0,004%
2024   439735              7936271554         0,006%
2025   627741              8006580553         0,008%
2026   896128              8075716000         0,011%
2027   1279263             8143729466         0,016%
2028   1826204             8210559895         0,022%
2029   2606986             8276190519         0,031%
2030   3721588             8340606590         0,045%
2031   5312730             8403880343         0,063%
2032   7584155             8466094022         0,090%
2033   10826715            8527246205         0,127%
2034   15455611            8587325154         0,180%
2035   22063564            8646304704         0,255%
2036   31496708            8704239274         0,362%
2037   44962935            8761189197         0,513%
2038   64186566            8817138785         0,728%
2039   91629144            8872066537         1,033%
2040   130804630           8925949679         1,465%
2041   186729359           8978822945         2,080%
2042   266564367           9030723366         2,952%
2043   380532349           9081617002         4,190%
2044   543226654           9131462326         5,949%
2045   775479924           9180225214         8,447%
2046   1107031675          9227935007         11,997%
2047   1580336371          9274616811         17,039%
2048   2255999629          9320232984         24,205%
2049   3220538624          9364750182         34,390%
2050   4597460434          9408141302         48,867%
2051   6563076835          9451733473         69,438%
2052   9369080640          9495527626         98,668%

#### Underwatercuber

##### Member
Assuming the number of WCA keeps growing at the same average pace of the last 5 years (2013-2017), around 2052 the whole population of the Earth will be competing!

Code:
Year   WCA competitors     Earth population   %
2018   51958               7490427640         0,001%
2019   74173               7567402977         0,001%
2020   105885              7643402123         0,001%
2021   151155              7718256830         0,002%
2022   215781              7792021317         0,003%
2023   308036              7864725370         0,004%
2024   439735              7936271554         0,006%
2025   627741              8006580553         0,008%
2026   896128              8075716000         0,011%
2027   1279263             8143729466         0,016%
2028   1826204             8210559895         0,022%
2029   2606986             8276190519         0,031%
2030   3721588             8340606590         0,045%
2031   5312730             8403880343         0,063%
2032   7584155             8466094022         0,090%
2033   10826715            8527246205         0,127%
2034   15455611            8587325154         0,180%
2035   22063564            8646304704         0,255%
2036   31496708            8704239274         0,362%
2037   44962935            8761189197         0,513%
2038   64186566            8817138785         0,728%
2039   91629144            8872066537         1,033%
2040   130804630           8925949679         1,465%
2041   186729359           8978822945         2,080%
2042   266564367           9030723366         2,952%
2043   380532349           9081617002         4,190%
2044   543226654           9131462326         5,949%
2045   775479924           9180225214         8,447%
2046   1107031675          9227935007         11,997%
2047   1580336371          9274616811         17,039%
2048   2255999629          9320232984         24,205%
2049   3220538624          9364750182         34,390%
2050   4597460434          9408141302         48,867%
2051   6563076835          9451733473         69,438%
2052   9369080640          9495527626         98,668%
Does this take into account that the earth population will be growing as well?