Progress Dashboard

101 sessions tracked · 3804 solves · 3x3 Speed Solving

Current AO12

16.57s

Last 12 solves

Current AO100

16.64s

Last 100 solves

Best Single

10.00s

All-time best

Progress to Goal16.64s / 15.00s
93% 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
March 2026Latest10.00s15.05s16.64s
February 202614.35s16.48s16.80s
January 202611.32s15.39s16.74s
December 202513.90s16.43s16.50s
November 202512.25s15.82s16.41s
October 202512.48s15.23s16.42s
September 202511.56s16.09s16.80s
August 202510.92s16.19s16.87s
July 202514.64s17.40s17.76s
June 202513.60s16.98s17.81s
May 202512.34s19.02s20.56s
April 202517.25s23.85s25.35s

Growth Prediction

🎯 Chasing Sub-15

Stability Status
Regression Risk
gap 0.1sbench 1.62.4s14d +12.1ms/day

AO100 is trending upward while inconsistency is also rising. Fatigue, overtraining, or technique regression are common causes.

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

~13,486

solves remaining

358 sessions at your current pace

But first —

Sub-16s

~3,029

solves to next milestone

80 sessions

Why ~13,486 solves?
Gap to close16.6s → 15.0s = 1.6s
Improvement rate0.26ms / solve(60d, 381 solves)
Base estimate1.6s ÷ 0.26ms = 6,248
Difficulty scaling×2.161.4 wall included)
Estimate~13,486 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 Mar 13, 2026

Performance Trend & Forecast

AI Performance Insight

Performance Interpretation

Recent performance indicates a potential decline in consistency. The solve standard deviation has increased to 1.636s, a change of 0.023s from the prior measurement. While the 14-day average improvement is 0.01205 seconds per day, the 30-day average is significantly lower at 0.003013 seconds per day, suggesting a slowing rate of progress.

Primary Focus

Addressing increasing solve-to-solve variability is critical. The gap between the current average of 16.64s and the target of 16.57s is small, but the elevated standard deviation suggests performance is becoming less predictable. Reducing this variability will likely yield faster overall times.

Practice Strategy

Implement slow turning drills focusing on pause and deliberate execution of each step.

Practice fingertricks with a metronome, initially at a slow tempo, gradually increasing speed while maintaining accuracy.

Record and review solves, specifically identifying instances of hesitation or inefficient movements.

Mindset

The current phase goal of transitioning from sub-20 to sub-15 second solves remains attainable. Despite the recent instability, the tier gap is currently zero, indicating no immediate loss of competitive standing. Maintaining focus on process improvement will support continued advancement.

Risk

The 'regression_risk' status, combined with the worsening stability, indicates a heightened probability of performance decline. Continued increases in solve standard deviation could lead to a significant slowdown in average times.