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If your get 3:00, DNS, DNS in BLD, would it be a 3:00 mo3? No.
3:00, DNF, DNF that would clearly be the case, but with DNS, and averaging from competition to competition I don't think it's so clear. Should you be charged with a DNS if you go to a competition that offers the event but you don't register for it?
 
Do the running official FMC averages of 12, 50, 100 count DNS's as DNF's, or just ignore them? I ask because I have 3 DNS's in my last 6 attempts, since I could not be there when the attempts were done. If I pretend they never happened, then I have a 31.6 average of 12, but if they're DNF's, then (obviously) I have a DNF average of 12.

If you ask for the means and averages which I generated: I just ignore them.
 
So you take all the sub8 results from all the countries and average them (including sub7, sub6 etc). What countries have the best average? I would be very grateful if someone could calculate that :D
 
So you take all the sub8 results from all the countries and average them (including sub7, sub6 etc). What countries have the best average? I would be very grateful if someone could calculate that :D
Wouldn't this be biased towards countries that have just one really good solver who only goes to a few comps a year so has less chance to screw up?
 
CountryAverage
Australia7.128711538
Netherlands7.349362416
Korea7.355064103
Norway7.391891892
Slovenia7.421875
Canada7.424773663
Bolivia7.426666667
USA7.433178511
Vietnam7.433333333
Germany7.433344595
Belarus7.444
France7.444205607
Denmark7.444545455
Switzerland7.461666667
Spain7.462019231
Czech Republic7.466666667
Finland7.4825
Poland7.483910448
United Kingdom7.494514563
Peru7.496666667
India7.4992
Taiwan7.511925466
Japan7.517894737
Thailand7.530487805
Greece7.532105263
Hungary7.53962963
Dominican Republic7.54
Indonesia7.54483871
Colombia7.55
Malaysia7.556363636
Bulgaria7.56
Russia7.56
Philippines7.562586207
China7.569635036
Ukraine7.595185185
Singapore7.608
Brazil7.608421053
Belgium7.665
Sweden7.669285714
Italy7.673
Iran7.67875
Argentina7.68
Israel7.68
Ireland7.722222222
Hong Kong7.723333333
Mexico7.768181818
Romania7.775
Lithuania7.802857143
Pakistan7.81
Austria7.89
Chile7.905
 
some WR stats:

WRs per year:

+-------+------+
| Year | WRs |
+-------+------+
| 1982 | 1 |
| 2003 | 18 |
| 2004 | 42 |
| 2005 | 57 |
| 2006 | 53 |
| 2007 | 73 |
| 2008 | 74 |
| 2009 | 76 |
| 2010 | 81 |
| 2011 | 80 |
| 2012 | 55 |
| 2013 | 42 |
| 2014 | 71 |
| 2015 | 56 |
| 2016 | 57 |
| total | 836 | (from 201 different persons)
+-------+------+

most WRs per year:

+------+------------------------------------+-----+
| Year | Person | WRs |
+------+------------------------------------+-----+
| 1982 | Minh Thai | 1 |
| 2003 | Jaap Scherphuis | 3 |
| 2003 | David Wesley | 3 |
| 2004 | Shotaro Makisumi (牧角章太郎) | 12 |
| 2005 | Shotaro Makisumi (牧角章太郎) | 9 |
| 2006 | Stefan Pochmann | 6 |
| 2007 | Mátyás Kuti | 14 |
| 2008 | Erik Akkersdijk | 16 |
| 2009 | Dan Cohen | 10 |
| 2010 | Feliks Zemdegs | 17 |
| 2011 | Feliks Zemdegs | 26 |
| 2012 | Lin Chen (陈霖) | 11 |
| 2013 | Feliks Zemdegs | 8 |
| 2014 | Feliks Zemdegs | 7 |
| 2015 | Feliks Zemdegs | 12 |
| 2016 | Feliks Zemdegs | 12 |
+------+------------------------------------+-----+

persons with at least 10 WRs:

+-------------------------------+------+
| Person | WRs |
+-------------------------------+------+
| Gunnar Krig | 10 |
| Ryan Patricio | 10 |
| Sebastian Weyer | 10 |
| Kaijun Lin (林恺俊) | 12 |
| Lin Chen (陈霖) | 12 |
| Yuxuan Wang (王宇轩) | 12 |
| Anssi Vanhala | 13 |
| Lars Vandenbergh | 13 |
| Marcell Endrey | 13 |
| Marcin Kowalczyk | 14 |
| Chris Hardwick | 16 |
| Dan Cohen | 16 |
| Kevin Hays | 16 |
| Mátyás Kuti | 17 |
| Michał Halczuk | 20 |
| Shotaro Makisumi (牧角章太郎) | 21 |
| Stefan Pochmann | 21 |
| Erik Akkersdijk | 33 |
| Feliks Zemdegs | 90 |
+-------------------------------+------+


a detailed look at Feliks performance:

+-------+------+
| Year | WRs |
+-------+------+
| 2009 | 0 |
| 2010 | 17 |
| 2011 | 26 |
| 2012 | 8 |
| 2013 | 8 |
| 2014 | 7 |
| 2015 | 12 |
| 2016 | 12 |
| total | 90 |
+-------+------+


=> it's not that unlikely that he'll get the 100th WR in 2017
 
Most common IDs this year:

99+:

CHEN
WANG
ZHAN

97:

MART

84:

YANG

76:

SILV

70:

SANT

68:

ZHAO

67:

HUAN

64:

RODR

61:

GONZ
GARC

57:

LOPE

53:

VILL

52:

PERE

50:

CAST

1157, out of the ~17800 competitors this year.
 
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