Milestones

Best Single

9.60s

Aug 3, 2026

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First Sub-15 AO100

14.96s

Aug 5, 2026

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10,000 Solves

10,000 solves

Aug 22, 2026

Progress Dashboard

148 sessions tracked · 3x3 Speed Solving

Current AO12

Last 12 solves

Current AO100

Last 100 solves

Best Single

All-time best

Progress to GoalTarget: 14.00s

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
August 2026Latest
July 2026
June 2026
May 2026
April 2026
January 2026
July 2025
June 2025
May 2025
December 2024
November 2024
October 2024
August 2024
July 2024
January 2024
December 2023

Growth Prediction

🎯 Chasing Sub-14

Stability Status
Balanced Growth
gap 0.3sbench 0.81.6s14d -14.5ms/day

Recognition and execution are aligned within the expected range. Improvement here comes from technique refinement rather than raw speed development.

Phase

Sub-15 → Sub-10

Decelerating

🧭 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-14s goal

~2,732

solves remaining

37 sessions at your current pace

Why ~2,732 solves?
Gap to close14.8s → 14.0s = 0.8s
Improvement rate0.68ms / solve(60d, 3,931 solves)
Base estimate0.8s ÷ 0.68ms = 1,178
Difficulty scaling×2.321.8 wall included)
Estimate~2,732 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 Aug 22, 2026

Performance Trend & Forecast

AI Performance Insight

Performance Interpretation

Your AO100 is 14.8s, but your recent data shows a 0.34s gap and decelerating momentum. This indicates you are performing worse recently. Your efficiency is currently the primary limiter.

Primary Focus

You need to focus on algorithm efficiency. Your data identifies you as efficiency limited, meaning you are using suboptimal solutions. Reducing your move count is the most direct path to lower your 14.8s average.

Practice Strategy

Perform 30 slow solves per session focusing on zero rotations.

Compare your move counts to a professional solve of the same scramble.

This trains you to recognize more efficient paths.

Mindset

Your consistency trend is improving by 15.209s. This shows your baseline is becoming more stable, which is necessary for the next jump in speed.

Risk

Your momentum is decelerating and your 14-day improvement rate is -0.01445 s/day. You risk a complete plateau if you do not address your efficiency limits.