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-60 → Sub-45
→Sub-30 → Sub-20
2 tiers🧭 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
~122,505
solves remaining
≈ 2,978 sessions at your current pace
Sub-52s
~105
solves to next milestone
≈ 3 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 14, 2026
Performance Trend & Forecast
AI Performance Insight
Current performance demonstrates a consistent decline in solve times. The 14-day slope of -0.253393 s/day indicates a faster rate of improvement than the 30-day slope of -0.134105 s/day, confirming an accelerating trend. A solve standard deviation of 4.537s, unchanged from the prior measurement, suggests this improvement is not yet accompanied by increased consistency.
Maintain the current rate of time reduction while simultaneously decreasing solve-to-solve variability. The gap to the target of -0.16s indicates proximity to the next performance threshold. Addressing consistency will be crucial for sustained progress as the target times become more demanding.
Implement a slow-speed accuracy drill, focusing on look-ahead and fingertricks at 70% of current solve speed.
Integrate 15-20 cross solves daily, prioritizing efficient fingertricks and block building.
Record and analyze these practice solves to identify and correct recurring errors.
The 'acceleration_phase' diagnosis, coupled with 'healthy_growth', suggests the current training approach is effective. The 'tier gap' of 2 indicates two performance levels remain before reaching the next major goal. Continued adherence to the current strategy is projected to yield further improvements.
While improvement is accelerating, the unchanged standard deviation suggests a potential plateau in consistency. Failure to address this could limit further time reductions as target times decrease.