@quick_cuber08

Goal: AO100 < 15.00s

Milestones

First Sub-20 AO100

19.39s

Jul 17, 2026

Tap for scramble →

Best Single

11.49s

Aug 18, 2026

Tap for scramble →

Progress Dashboard

23 sessions tracked · 415 solves · 3x3 Speed Solving

Current AO12

17.47s

Last 12 solves

Current AO100

18.53s

Last 100 solves

Best Single

11.49s

All-time best

Progress to Goal18.53s / 15.00s
85% to sub-15

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
August 2026Latest11.49s17.37s18.53s
July 202613.81s16.70s18.70s

Growth Prediction

🎯 Chasing Sub-15

Stability Status
Efficiency Ceiling↑
gap 0.7sbench 1.6–2.4s14d +20.3ms/day

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

Phase

Sub-20 → Sub-15

Regression Risk

🧭 Typical at this level

  • • Full cross planning (4 pieces)
  • • Beginning Cross+1 inspection
  • • Basic look-ahead during F2L

🎯 Recommended focus

  • • Slow down turning to develop look-ahead
  • • Execute known F2L pairs "blindly"
  • • Minimize rotations during F2L
Sub-15s goal

~16,074

solves remaining

≈ 891 sessions at your current pace

But first:

Sub-18s

~1,133

solves to next milestone

≈ 63 sessions

Why ~16,074 solves?
Gap to close18.5s → 15.0s = 3.5s
Improvement rate0.69ms / solve(30d, 248 solves)
Base estimate3.5s ÷ 0.69ms = 5,150
Difficulty scaling×3.12(×1.4 wall included)
Estimate~16,074 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.

medium confidence

Estimate based on recent trends. More sessions improve accuracy.

Based on solve data as of Aug 29, 2026

Performance Trend & Forecast

AI Performance Insight

Performance Interpretation

Your AO100 is 18.53s, but your 30-day improvement rate is -0.010591 s/day. While your consistency is improving by 0.464s, you are hitting an efficiency bottleneck. This indicates that your current solve patterns are limiting your progress.

Primary Focus

You must prioritize algorithm efficiency. The data identifies an efficiency bottleneck and a regression warning, which means you are likely using suboptimal solutions. Reducing your move count is the most direct path to sub-15.

Practice Strategy

Complete 20 slow solves per session.

Focus exclusively on finding the most efficient F2L solutions without pausing.

Your goal is to minimize move count rather than maximize TPS.

Mindset

Your consistency is improving by 0.464s. This stability, combined with a 14-day improvement rate of 0.020289 s/day, shows you have the foundation to progress.

Risk

You are currently at regression risk. Your volume of 58 solves per week is insufficient to break through an efficiency bottleneck.