Akash Rupela

#249 most-reconstructed of 451 tracked solvers · search their solves

Years
solves
3
best
8.29
mean
10.42
span
2014–2017
competitions
2

Solving style vs the field

Compared against 12287 reconstructed solves by 451 tracked solvers.

Average moves per stage

themfieldΔ
Cross7.311.4-4.1
F2L18.729-10.3
OLL6.711.9-5.2
PLL613.1-7.1
Full solve38.765.5-26.8

Move tokens per reconstructed solve, split by stage - fewer than the field means a more move-efficient stage.

Techniques used

solvesthemfield
1LLL133.3%8.3%

Share of solves using each last-slot / last-layer technique, vs the share across all tracked solves.

Algorithm choices

mainstreamfielddiffering cases
OLL50%58%1/2
PLL0%59%1/1

"Mainstream" = share of their executions using the field's most common alg for that case. A lower number than the field average means a more unusual alg sheet.

OLL algorithms

2 recognized executions · 50% done with the field's most common alg for the case (field average 58%) · go-to alg differs from the field's on 1 of 2 cases

caseusestheir algsfield's most common
OLL 17 differs1
y2 F R' F' R2 r' U R U' R' U' M' ×1 (3 solvers)
R U R' U R' F R F' U2 R' F R F' (59%)
OLL 45 1
F R U R' U' F' ×1 (84 solvers)
F R U R' U' F' (90%)

PLL algorithms

1 recognized executions · 0% done with the field's most common alg for the case (field average 59%) · go-to alg differs from the field's on 1 of 1 cases

caseusestheir algsfield's most common
Gd differs1
R U R' y' R2 u' R U' R' U R' u R2 ×1 (34 solvers)
R U R' U' D R2 U' R U' R' U R' U R2 D' (36%)

Solves

2 recognized OLL executions across 2 cases, 1 recognized PLL executions across 1 cases - every solve links to its move-by-move breakdown.

tech
recon26698.752017-05-30Indian Nationals 2014
recon19608.292014-02-28Delhi Open 20141LLL
recon155214.222014-02-11unofficial