Performance Over Time
Latest 20 Solves
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Daily AO12
Daily AO100 & Mean
Monthly Stats
Includes historical & solve-based data
Growth Prediction
🎯 Chasing Sub-20
Recognition and execution are aligned within the expected range. Improvement here comes from technique refinement rather than raw speed development.
Sub-30 → Sub-20
🧭 Typical at this level
- • Smooth Cross-to-F2L transition
- • Continuous solve flow
- • Reduced hesitation before the first pair
🎯 Recommended focus
- • Focus on fluid transitions rather than burst TPS
- • Eliminate the pause after finishing the cross
- • Drill F2L cases until automatic
~5,151
solves remaining
≈ 71 sessions at your current pace
Sub-24s
~281
solves to next milestone
≈ 4 sessions
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.
This estimate is based on stable long-term trends.
Based on solve data as of Mar 27, 2026
Performance Trend & Forecast
AI Performance Insight
Recent performance demonstrates a decreasing average solve time. The 14-day slope of -0.139643 s/day and 30-day slope of -0.20556 s/day indicate a consistent reduction in times, though the rate of improvement is slightly increasing. A solve standard deviation of 4.929s, coupled with a decrease of 1.608s from the prior measurement, suggests improved consistency.
Maintain the current trajectory of time reduction while solidifying consistency. The gap of -1.21s to the target indicates progress toward the next phase goal, but the standard deviation suggests there is still room to minimize outliers. Prioritize reducing variability to reliably achieve faster times.
Implement a slow-turn drill focusing on deliberate execution of algorithms to reduce pauses.
Integrate 30-second solves with a focus on look-ahead to improve turning speed without sacrificing accuracy.
Record and analyze solve data to identify specific algorithm pairs causing inconsistencies.
The observed deceleration in time reduction, while still positive, suggests that continued improvement requires focused effort. The current balanced growth state indicates that the training volume of 664 weekly solves is sustainable and contributing to progress. Maintaining this volume while refining technique is key.
While the standard deviation is decreasing, a value of 4.929s indicates that solve times are still relatively dispersed. A sudden increase in this metric could signal a disruption in technique or focus, potentially halting progress.
Solve Videos
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