Progress Dashboard

15 sessions tracked · 2785 solves · 3x3 Speed Solving

Current AO12

16.49s

Last 12 solves

Current AO100

17.17s

Last 100 solves

Best Single

9.91s

All-time best

Progress to Goal17.17s / 15.00s
90% 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 2026Latest9.91s15.86s17.17s

Growth Prediction

🎯 Chasing Sub-15

Stability Status
Balanced Growth
gap 0.6sbench 1.62.4s14d -85.7ms/day

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

Phase

Sub-20 → Sub-15

Decelerating

🧭 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

~5,668

solves remaining

30 sessions at your current pace

But first:

Sub-16s

~850

solves to next milestone

4 sessions

Why ~5,668 solves?
Gap to close17.2s → 15.0s = 2.2s
Improvement rate0.93ms / solve(14d, 2,391 solves)
Base estimate2.2s ÷ 0.93ms = 2,337
Difficulty scaling×2.431.4 wall included)
Estimate~5,668 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.

low confidence

Forecast will stabilize with more sessions.

Based on solve data as of Mar 27, 2026

Performance Trend & Forecast

AI Performance Insight

Performance Interpretation

Current performance is 17.17 seconds, with a recent trend of improvement. The 30-day average time reduction is 0.114937 seconds per day, indicating a consistent, though decelerating, rate of progress. A standard deviation of 2.223 seconds across the last 100 solves suggests moderate consistency, while the gap of 0.57 seconds to the target indicates room for further refinement.

Primary Focus

Given the 'efficiency_limited' diagnosis, reducing solve-to-solve variability is paramount. The standard deviation of 2.223 seconds indicates that execution inconsistencies are contributing significantly to times. Addressing these inconsistencies will yield greater time reductions than attempting to increase raw speed.

Practice Strategy

Implement slow-turn drills, focusing on precise finger movements and minimizing pauses.

Conduct blockbuilding practice, aiming for consistent execution of algorithms without errors.

Record and review solves, specifically identifying instances of inefficient turning or lockups to refine technique.

Mindset

The current trajectory demonstrates a clear capacity for improvement. The 14-day slope of -0.085729 seconds per day confirms that focused practice is translating into measurable gains. Maintaining this level of engagement will facilitate continued progress toward the sub-15 second goal.

Risk

The decelerating velocity suggests that current practice methods may be approaching a point of diminishing returns. Failure to adapt the practice routine could lead to a plateau in performance, hindering progress toward the target time.