Jeremy Fleischman
#237 most-reconstructed of 451 tracked solvers · search their solves
Solving style vs the field
Compared against 12287 reconstructed solves by 451 tracked solvers.
Average moves per stage
| them | field | Δ | |
|---|---|---|---|
| Cross | 11.8 | 11.4 | +0.4 |
| F2L | 27.8 | 29 | -1.2 |
| OLL | 7.5 | 11.9 | -4.4 |
| PLL | 11.8 | 13.1 | -1.3 |
| Full solve | 58.8 | 65.5 | -6.7 |
Move tokens per reconstructed solve, split by stage - fewer than the field means a more move-efficient stage.
Techniques used
| solves | them | field | |
|---|---|---|---|
| ZBLL | 1 | 25.0% | 11.0% |
Share of solves using each last-slot / last-layer technique, vs the share across all tracked solves.
Algorithm choices
| mainstream | field | differing cases | |
|---|---|---|---|
| OLL | 33% | 58% | 2/3 |
| PLL | 0% | 59% | 2/2 |
"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
3 recognized executions · 33% done with the field's most common alg for the case (field average 58%) · go-to alg differs from the field's on 2 of 3 cases
PLL algorithms
2 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 2 of 2 cases
Solves
3 recognized OLL executions across 3 cases, 2 recognized PLL executions across 2 cases - every solve links to its move-by-move breakdown.
| tech | ||||
|---|---|---|---|---|
| recon2486 | 9.95 | 2017-02-14 | Berkeley Winter 2017 | |
| recon2196 | 7.31 | 2015-06-26 | Danish Open 2015 | ZBLL |
| recon1346 | 10.01 | 2014-01-24 | unofficial | |
| recon780 | 15.27 | 2013-10-07 | Caltech Fall competition 2008 |