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-17
Recognition and execution are aligned within the expected range. Improvement here comes from technique refinement rather than raw speed development.
Sub-30 → Sub-20
→Sub-20 → Sub-15
1 tier🧭 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
~6,639
solves remaining
≈ 490 sessions at your current pace
Sub-28s
~41
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.
More recent solves improve forecast accuracy.
Forecast will stabilize with more sessions.
Based on solve data as of Mar 21, 2026
Performance Trend & Forecast
AI Performance Insight
Current performance is characterized by consistent improvement. A 14-day and 30-day average reduction of 0.32 seconds per day indicates a stable downward trend in solve times. The recent decrease in solve standard deviation, from a prior value to 6.584 seconds, suggests increasing consistency alongside faster times.
Maintain consistency while progressing toward the next performance tier. The gap of 1.55 seconds between the current AO100 of 29.07 seconds and the sub-20 second target indicates that further reductions in average solve time are required. The 'balanced_growth' stability state confirms that current training is not introducing undue variability.
Implement slow turning drills focusing on lookahead to reduce pauses during execution.
Practice fingertricks with a metronome, initially at a slow tempo, gradually increasing speed to improve execution precision.
Incorporate block building to enhance move efficiency and reduce total move count.
Progress is currently aligned with the established goals. The 'healthy_growth' diagnosis tag and 'stable_growth' velocity indicate that the current training approach is effective. Continuing this approach is projected to yield further improvements, given the remaining volume of 6639 solves to reach the next target.
While standard deviation is decreasing, a value of 6.584 seconds indicates that solve times still exhibit considerable variation. A sudden shift in training intensity or technique could disrupt the current positive trend and increase variability.