Measured practice benchmarks
Benchmarks for diagnosing a solve, not judging a person
A useful benchmark defines its population, date window and measurement method. SupaKewber publishes these comparisons as training references, not universal targets.
Core benchmarks
Start with the metric that matches the question
Stage shares show allocation, TPS shows move rate, transition pauses show continuity and milestone cohorts show change over sustained practice.
CFOP stage percentages by skill level
Smart-cube stage timestamps turn a general training rule into an observed benchmark for distinct skill brackets.
Open research page →How many turns per second do speedcubers average?Typical TPS by solve-time bracket
Move-aware solves show how turning rate and move count vary across real solve-time bands.
Open research page →How long do speedcubers pause between CFOP stages?Average pauses between CFOP stages
Move timestamps around detected stage boundaries quantify the transitions that a stopwatch total hides.
Open research page →How much do cubers improve after hundreds of recorded solves?Improvement after 100, 500 and 1,000 solves
Milestone cohorts connect sustained practice volume to the change in a player’s own rolling performance.
Open research page →How do manual and smart-cube practice times compare?Manual versus smart-cube timing
Immutable timer-source labels make it possible to describe two timing populations without mixing them into one average.
Open research page →How many solves do speedcubers practise per active day?Average daily speedcubing practice volume
User-day totals describe the practice dose people actually record when they open a session.
Open research page →Responsible comparison
A population average is a reference point, not an ideal solve.
Scramble difficulty, solution choice, hardware, method, stage-detection rules and sampling all affect the number. Read the methodology and compare repeated personal sessions before changing training.