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
Consistency is strong, but improvement has stalled. Sub-optimal move efficiency or technique ceiling is likely limiting further AO100 drops.
Sub-45 → Sub-30
→Sub-30 → Sub-20
1 tier🧭 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
~1,660
solves remaining
≈ 80 sessions at your current pace
Sub-33s
~13
solves to next milestone
≈ 1 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.
More recent solves improve forecast accuracy.
Forecast will stabilize with more sessions.
Based on solve data as of Apr 5, 2026
Performance Trend & Forecast
AI Performance Insight
Current performance is characterized by a consistent, but slow, average solve time. The average of the last 100 solves is 33.91 seconds, with a standard deviation of 6.1 seconds. This indicates a relatively stable, but not improving, performance level. The recent median of 33.43 seconds across the last three AO12s suggests minimal fluctuation in this consistency.
Reducing solve-to-solve variability is critical. A standard deviation of 6.1 seconds represents a substantial portion of the current 33.91 second average, indicating inconsistent execution. Addressing this will likely yield the most significant time reductions, given the current 'efficiency_bottleneck' state.
Implement slow-turn drills focusing on pause and check phases to improve move accuracy.
Practice fingertrick execution at 20% speed, prioritizing precision over speed, for 15 minutes daily.
Incorporate block building exercises to reinforce efficient move sequences and reduce pauses during solves.
Progress to the next performance tier requires a 0.48 second reduction in average solve time. The current 'plateau' in performance suggests that existing practice methods are no longer sufficient for improvement. A focused effort on consistency and efficiency is necessary to bridge this gap.
The 'insufficient data' status for both 14-day and 30-day trends limits the ability to project future performance. Continued practice without tracking longer-term trends may result in stagnation or inaccurate assessment of progress.