Difference between revisions of "1LLS"
From Speedsolving.com Wiki
Shadowslice (talk | contribs) |
|||
| (8 intermediate revisions by 3 users not shown) | |||
| Line 1: | Line 1: | ||
{{Method Infobox | {{Method Infobox | ||
|name=1LLS (2x2x2) | |name=1LLS (2x2x2) | ||
| − | |image= | + | |image=Ss_method.gif |
|proposers=[[Will Callan]] | |proposers=[[Will Callan]] | ||
|year=2017 | |year=2017 | ||
| Line 13: | Line 13: | ||
}} | }} | ||
| − | There | + | '''1LLS''', or '''1 L'''ook '''L'''ast '''S'''lot. There are 162 algs in total, with 27 sets of 6, and those 27 are made up of 9 tcll- style Vs, 9 for tcll+ and 9 for CLL. Recognition is the same as CLL and TCLL depending on the corned in the last slot, except you need to trace where the last LL piece would be. |
==Steps== | ==Steps== | ||
#Solve a V (3/4 of a layer) | #Solve a V (3/4 of a layer) | ||
#Solve the rest | #Solve the rest | ||
| + | |||
| + | ==Pros== | ||
| + | *Some of the algorithms are short and easy | ||
| + | |||
| + | ==Cons== | ||
| + | *Approximately 4 times more algorithms than CLL, EG-1 or EG-2 | ||
| + | |||
==See Also== | ==See Also== | ||
*[[42]] | *[[42]] | ||
| Line 24: | Line 31: | ||
*[[TCLL]] | *[[TCLL]] | ||
*[[CLL]] | *[[CLL]] | ||
| + | *[[A2]] | ||
| + | |||
| + | ==External Links== | ||
| + | *[https://docs.google.com/spreadsheets/d/1uinPFBQpx7y6pyWt_OIPXpUDbKNSsaOaSuxiQ89_8iY/edit#gid=186452357 1LLS sheet] | ||
| + | |||
| + | [[Category:2x2x2 speedsolving methods]] | ||
| + | [[Category:2x2x2 methods]] | ||
| + | [[Category:2x2x2 substeps]] | ||
Revision as of 13:30, 19 April 2020
| ||||||||||||||||||||||
1LLS, or 1 Look Last Slot. There are 162 algs in total, with 27 sets of 6, and those 27 are made up of 9 tcll- style Vs, 9 for tcll+ and 9 for CLL. Recognition is the same as CLL and TCLL depending on the corned in the last slot, except you need to trace where the last LL piece would be.
Contents
Steps
- Solve a V (3/4 of a layer)
- Solve the rest
Pros
- Some of the algorithms are short and easy
Cons
- Approximately 4 times more algorithms than CLL, EG-1 or EG-2
