Postponing new algs to focus on recognition?

[RandomSort]

Hi!
I am currently doing CFOP at between 30-50 seconds.
I have learned "some" algorithms for all steps. I do intuitive F2L, and have started learning some F2L algs.
I am using Cubestation from GAN. ANd that gives me some stats per solve.
I noticed that I compared to my opponents have a "low" step count. Namely, I do 80-90 "steps" per solve. With a TPS of ~2.
What this hints at me is that I have bad lookahead and recognition, but decent algorithm selection.
Which leads me to two questions:
1) Does my conclusion make sense, I am lacking in lookahead and recognition?
2) Should I postpone learning additional algorithms, as that would primarily reduce step count which is not likely to be my bottleneck?
An argument for not doing this is that recognition and lookahead will also be improved while learning new algorithms, and even if it is not my current blocker, it could be better long term to keep up learning new F2L cases while I work on my recognition and lookahead.

Do you have any recommendations or reflections to share?

 

[bldcuber314]

Hi!
I am currently doing CFOP at between 30-50 seconds.
I have learned "some" algorithms for all steps. I do intuitive F2L, and have started learning some F2L algs.
I am using Cubestation from GAN. ANd that gives me some stats per solve.
I noticed that I compared to my opponents have a "low" step count. Namely, I do 80-90 "steps" per solve. With a TPS of ~2.
What this hints at me is that I have bad lookahead and recognition, but decent algorithm selection.
Which leads me to two questions:
1) Does my conclusion make sense, I am lacking in lookahead and recognition?
2) Should I postpone learning additional algorithms, as that would primarily reduce step count which is not likely to be my bottleneck?
An argument for not doing this is that recognition and lookahead will also be improved while learning new algorithms, and even if it is not my current blocker, it could be better long term to keep up learning new F2L cases while I work on my recognition and lookahead.

Do you have any recommendations or reflections to share?

So your TPS seems to be the issue, this can be achieved through practice and working on fingertricks. You can also try spamming and trying to turn fast on fast algorithms like T perm. You shouldn't require too much lookahead at this stage, but you can probably gain better recognition and TPS through practice. Good luck, hope this helps!

 

[RandomSort]

Thank you for your answer. I went to practice a few algs. The cubestation app also gives me some stats on that. The TPS of ~2 seems to be for the entire solve. When I practice algorithms I get to around 8.5 avg TPS. So maybe I am fast "enough" what ever that means for execution, but getting too much overhead on recognition during the alg.

 

[bldcuber314]

Thank you for your answer. I went to practice a few algs. The cubestation app also gives me some stats on that. The TPS of ~2 seems to be for the entire solve. When I practice algorithms I get to around 8.5 avg TPS. So maybe I am fast "enough" what ever that means for execution, but getting too much overhead on recognition during the alg.

OK then, the recognition is the issue. Honestly all I can think of is just practice, that will improve recognition. If you could send a video I could see what's wrong but if not that's fine.