Milestones

First Sub-15 AO100

14.99s

Jun 28, 2026

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Best Single

9.51s

Aug 3, 2026

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4,000 Solves

4,000 solves

Sep 4, 2026

Progress Dashboard

92 sessions tracked · 3x3 Speed Solving

Current AO12

Last 12 solves

Current AO100

Last 100 solves

Best Single

All-time best

Progress to GoalTarget: 13.00s

Not enough solves to calculate AO100 yet

Performance Over Time

Latest 20 Solves

Click a dot to see scramble

Daily AO12

Daily AO100 & Mean

Monthly Stats

Includes historical & solve-based data

MonthBest SinglePeak AO12Closing AO100
September 2026Latest
August 2026
July 2026
June 2026
May 2026
March 2026
February 2026
January 2026
December 2025
November 2025

Growth Prediction

🎯 Chasing Sub-13

Stability Status
Efficiency Ceiling
gap -0.7sbench 0.81.6s14d +11.6ms/day

Consistency is strong, but improvement has stalled. Sub-optimal move efficiency or technique ceiling is likely limiting further AO100 drops.

Phase

Sub-15 → Sub-10

Regression Risk

🧭 Typical at this level

  • Strong F2L look-ahead
  • Low-rotation solving
  • Consistent Full PLL
  • Cross occasionally planned with +1

🎯 Recommended focus

  • Eliminate all visible pauses during F2L
  • Track the next pair before finishing the current insertion
  • Reduce rotation count
Sub-13s goal

~5,809

solves remaining

131 sessions at your current pace

Why ~5,809 solves?
Gap to close14.0s → 13.0s = 1.0s
Improvement rate0.44ms / solve(60d, 2,085 solves)
Base estimate1.0s ÷ 0.44ms = 2,268
Difficulty scaling×2.561.8 wall included)
Estimate~5,809 solves

Your improvement rate is the biggest variable. A slower rate dramatically increases the estimate even when the gap is smaller.

You're entering advanced-level gains. Progress naturally slows.

high confidence

This estimate is based on stable long-term trends.

Based on solve data as of Sep 4, 2026

Performance Trend & Forecast

AI Performance Insight

Performance Interpretation

Your AO100 is 13.99s, and your recent session gap of -0.65s shows you are performing better lately. Your consistency is 1.818s, which is improving by 0.015s. However, the efficiency_bottleneck pattern indicates you are hitting a ceiling with your current move choices.

Primary Focus

You must prioritize algorithm efficiency. The data identifies you as efficiency_limited with a worsening bottleneck. You are using too many moves to solve the cube, which is preventing you from breaking into the sub-10 tier.

Practice Strategy

Execute 50 slow-turn solves per session.

Focus on eliminating unnecessary rotations and redundant moves.

Track your move count on the last layer to ensure you are using the most efficient algorithms.

Mindset

Your 30-day improvement rate of 0.031625 s/day proves you are moving in the right direction. This steady progress shows your current approach is working.

Risk

You are currently at regression_risk. The worsening efficiency bottleneck means you may plateau if you do not change your move choices.