[ER] Alexander Lau - 7.37 3x3x3 avg

[Myachii]

Alex omg so fast
Great job on the average, it's a remarkable achievment

 

[GuRoux]

I'm pretty sure Alex is the only Roux solver in the top 100, and if not there aren't hardly any others, so I doubt it will.

kaijun lin is in the top 100, but you have a good point, there still far fewer rouxers than cfoppers.

 

[Iggy]

gj Alex!

 

[DuffyEdge]

Yay Alex! Pushing closer and closer to sub 7...

 

[Tim Major]

Congrats to Alex, anyone know if he's still cubing much? The less he cares about cubing, the less pressure when he competes :tu

Now all we need is a ZZ user somewhere up there

ZZ doesn't have as many outright advantages over CFOP that Roux does. The only real advantage I see with ZZ at a high level is potential LL methods like ZBLL. ZZ F2L sucks.

 

[cashis]

ZZ doesn't have as many outright advantages over CFOP that Roux does. The only real advantage I see with ZZ at a high level is potential LL methods like ZBLL. ZZ F2L sucks.

I can see the potential for ZZ to get just as fast as Roux and CFOP. I quite like zzf2l, its a fun mix of blockbuilding and cfop and I like it. I can see it to be fast too. It is big 3, after all.

 

[5BLD]

Congrats to Alex, anyone know if he's still cubing much? The less he cares about cubing, the less pressure when he competes :tu

I dont cube much these days but i still go to competitions (and practice a lot a few days before)

I have heard some beginners say that they will switch to roux because Alex is good at it. It annoys me SO MUCH when they say that

You're funny.

 

[RomFrta33]

I'm pretty sure that if you get a new WR (like your 5.11) official, every beginner will switch to cfop and roux will become the most common method !

 

[Berd]

I'm pretty sure that if you get a new WR (like your 5.11) official, every beginner will switch to cfop and roux will become the most common method !

That's the goal!

 

[Andri Maulana]

I remember your early sub 8 video in 2011-2012, now you finally made it officially. Congrats!

 

[Logiqx]

kaijun lin is in the top 100, but you have a good point, there still far fewer rouxers than cfoppers.

Looking at it from another angle.... top 100 results, I see that Alex has a fair few against his name. Impressive!

Top 100 results:

Feliks Zemdegs 49
Alexander Lau 15
Mats Valk 9
Cornelius Dieckmann 8
Bill Wang 3
Kevin Costello III 3
Philipp Weyer 3
Lucas Etter 2
Sebastian Weyer 2
Antoine Cantin 1
Collin Burns 1
Dario Roa Sánchez 1
Drew Brads 1
Haowei Fan (樊浩玮) 1
Patrick Ponce 1
Richard Jay S. Apagar 1

These counts don't include Guildford.

 

[GuRoux]

Looking at it from another angle.... top 100 results, I see that Alex has a fair few against his name. Impressive!

Top 100 results:

Feliks Zemdegs 49
Alexander Lau 15
Mats Valk 9
Cornelius Dieckmann 8
Bill Wang 3
Kevin Costello III 3
Philipp Weyer 3
Lucas Etter 2
Sebastian Weyer 2
Antoine Cantin 1
Collin Burns 1
Dario Roa Sánchez 1
Drew Brads 1
Haowei Fan (樊浩玮) 1
Patrick Ponce 1
Richard Jay S. Apagar 1

These counts don't include Guildford.

and what makes it more impressive is he's gone to far fewer competitions than most of the people on this list.

 

[Stefan]

and what makes it more impressive is he's gone to far fewer competitions than most of the people on this list.

Indeed.

Spoiler: Most Top-100 entries (3x3 average) per competition

Using data from WCA_export710_20150413 and Stefan's WCA Data Tools.

[TABLE="class:grid,align:left"]
[TR][TD]personId[/TD][TD]entries/comps[/TD][TD]entries[/TD][TD]comps[/TD][/TR]
[TR][TD]Feliks Zemdegs[/TD][TD="align:right"]1.4412[/TD][TD="align:right"]49[/TD][TD="align:right"]34[/TD][/TR]
[TR][TD]Alexander Lau[/TD][TD="align:right"]0.9375[/TD][TD="align:right"]15[/TD][TD="align:right"]16[/TD][/TR]
[TR][TD]Seung Hyuk Nahm (남승혁)[/TD][TD="align:right"]0.2000[/TD][TD="align:right"]1[/TD][TD="align:right"]5[/TD][/TR]
[TR][TD]Bill Wang[/TD][TD="align:right"]0.1875[/TD][TD="align:right"]3[/TD][TD="align:right"]16[/TD][/TR]
[TR][TD]Cornelius Dieckmann[/TD][TD="align:right"]0.1778[/TD][TD="align:right"]8[/TD][TD="align:right"]45[/TD][/TR]
[TR][TD]Mats Valk[/TD][TD="align:right"]0.1343[/TD][TD="align:right"]9[/TD][TD="align:right"]67[/TD][/TR]
[TR][TD]Philipp Weyer[/TD][TD="align:right"]0.0968[/TD][TD="align:right"]3[/TD][TD="align:right"]31[/TD][/TR]
[TR][TD]Patrick Ponce[/TD][TD="align:right"]0.0769[/TD][TD="align:right"]1[/TD][TD="align:right"]13[/TD][/TR]
[TR][TD]Lucas Etter[/TD][TD="align:right"]0.0741[/TD][TD="align:right"]2[/TD][TD="align:right"]27[/TD][/TR]
[TR][TD]Dario Roa Sánchez[/TD][TD="align:right"]0.0714[/TD][TD="align:right"]1[/TD][TD="align:right"]14[/TD][/TR]
[TR][TD]Drew Brads[/TD][TD="align:right"]0.0714[/TD][TD="align:right"]1[/TD][TD="align:right"]14[/TD][/TR]
[TR][TD]Kevin Costello III[/TD][TD="align:right"]0.0698[/TD][TD="align:right"]3[/TD][TD="align:right"]43[/TD][/TR]
[TR][TD]Sebastian Weyer[/TD][TD="align:right"]0.0667[/TD][TD="align:right"]2[/TD][TD="align:right"]30[/TD][/TR]
[TR][TD]Antoine Cantin[/TD][TD="align:right"]0.0400[/TD][TD="align:right"]1[/TD][TD="align:right"]25[/TD][/TR]
[TR][TD]Haowei Fan (樊浩玮)[/TD][TD="align:right"]0.0370[/TD][TD="align:right"]1[/TD][TD="align:right"]27[/TD][/TR]
[TR][TD]Collin Burns[/TD][TD="align:right"]0.0323[/TD][TD="align:right"]1[/TD][TD="align:right"]31[/TD][/TR]
[TR][TD]Richard Jay S. Apagar[/TD][TD="align:right"]0.0323[/TD][TD="align:right"]1[/TD][TD="align:right"]31[/TD][/TR]
[/TABLE]

Spoiler: SQL

[NOPARSE]SET @average100 := (SELECT max(average) FROM (SELECT average FROM Results WHERE eventId='333' and average>0 ORDER BY average LIMIT 100) tmp);

SELECT personId, entries/comps, entries, comps FROM
  (SELECT personId, personName, count(*) entries
  FROM Results
  WHERE eventId='333' and average>0 and average<=@average100
  GROUP BY personId) tmp
NATURAL JOIN
  (SELECT personId, count(distinct competitionId) comps
  FROM Results
  GROUP BY personId) tmp2
ORDER BY entries/comps desc, personName;[/NOPARSE]

 

[GuRoux]

Indeed.

Spoiler: Most Top-100 entries (3x3 average) per competition

Using data from WCA_export710_20150413 and Stefan's WCA Data Tools.

[TABLE="class:grid,align:left"]
[TR][TD]personId[/TD][TD]entries/comps[/TD][TD]entries[/TD][TD]comps[/TD][/TR]
[TR][TD]Feliks Zemdegs[/TD][TD="align:right"]1.4412[/TD][TD="align:right"]49[/TD][TD="align:right"]34[/TD][/TR]
[TR][TD]Alexander Lau[/TD][TD="align:right"]0.9375[/TD][TD="align:right"]15[/TD][TD="align:right"]16[/TD][/TR]
[TR][TD]Seung Hyuk Nahm (남승혁)[/TD][TD="align:right"]0.2000[/TD][TD="align:right"]1[/TD][TD="align:right"]5[/TD][/TR]
[TR][TD]Bill Wang[/TD][TD="align:right"]0.1875[/TD][TD="align:right"]3[/TD][TD="align:right"]16[/TD][/TR]
[TR][TD]Cornelius Dieckmann[/TD][TD="align:right"]0.1778[/TD][TD="align:right"]8[/TD][TD="align:right"]45[/TD][/TR]
[TR][TD]Mats Valk[/TD][TD="align:right"]0.1343[/TD][TD="align:right"]9[/TD][TD="align:right"]67[/TD][/TR]
[TR][TD]Philipp Weyer[/TD][TD="align:right"]0.0968[/TD][TD="align:right"]3[/TD][TD="align:right"]31[/TD][/TR]
[TR][TD]Patrick Ponce[/TD][TD="align:right"]0.0769[/TD][TD="align:right"]1[/TD][TD="align:right"]13[/TD][/TR]
[TR][TD]Lucas Etter[/TD][TD="align:right"]0.0741[/TD][TD="align:right"]2[/TD][TD="align:right"]27[/TD][/TR]
[TR][TD]Dario Roa Sánchez[/TD][TD="align:right"]0.0714[/TD][TD="align:right"]1[/TD][TD="align:right"]14[/TD][/TR]
[TR][TD]Drew Brads[/TD][TD="align:right"]0.0714[/TD][TD="align:right"]1[/TD][TD="align:right"]14[/TD][/TR]
[TR][TD]Kevin Costello III[/TD][TD="align:right"]0.0698[/TD][TD="align:right"]3[/TD][TD="align:right"]43[/TD][/TR]
[TR][TD]Sebastian Weyer[/TD][TD="align:right"]0.0667[/TD][TD="align:right"]2[/TD][TD="align:right"]30[/TD][/TR]
[TR][TD]Antoine Cantin[/TD][TD="align:right"]0.0400[/TD][TD="align:right"]1[/TD][TD="align:right"]25[/TD][/TR]
[TR][TD]Haowei Fan (樊浩玮)[/TD][TD="align:right"]0.0370[/TD][TD="align:right"]1[/TD][TD="align:right"]27[/TD][/TR]
[TR][TD]Collin Burns[/TD][TD="align:right"]0.0323[/TD][TD="align:right"]1[/TD][TD="align:right"]31[/TD][/TR]
[TR][TD]Richard Jay S. Apagar[/TD][TD="align:right"]0.0323[/TD][TD="align:right"]1[/TD][TD="align:right"]31[/TD][/TR]
[/TABLE]

Spoiler: SQL

[NOPARSE]SET @average100 := (SELECT max(average) FROM (SELECT average FROM Results WHERE eventId='333' and average>0 ORDER BY average LIMIT 100) tmp);

SELECT personId, entries/comps, entries, comps FROM
  (SELECT personId, personName, count(*) entries
  FROM Results
  WHERE eventId='333' and average>0 and average<=@average100
  GROUP BY personId) tmp
NATURAL JOIN
  (SELECT personId, count(distinct competitionId) comps
  FROM Results
  GROUP BY personId) tmp2
ORDER BY entries/comps desc, personName;[/NOPARSE]

interesting statistic!

 

[ryanj92]

yaay

 

[IRNjuggle28]

Great average, Alex. I love your solving style.

 

[AlexMaass]

so if there's no video, would it be possible for reconstructions?

 

[Randomno]

so if there's no video, would it be possible for reconstructions?

If Alex can remember his solutions.

 

[GuRoux]

If Alex can remember his solutions.

which is actually pretty hard to do.

 

[5BLD]

which is actually pretty hard to do.

I'll give it a go if someone sends me the scrambles. The two 6s were both quite distinctive in solution