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-8
Consistency is strong, but improvement has stalled. Sub-optimal move efficiency or technique ceiling is likely limiting further AO100 drops.
Sub-10 → Sub-8
🧭 Typical at this level
- • Consistent Full Cross+1 inspection
- • Efficient F2L (pseudo-slotting/keyhole)
- • Strong 1-look PLL recognition
🎯 Recommended focus
- • Improve Cross+1 success rate
- • Reduce move count in F2L
- • Eliminate micro-pauses through advanced look-ahead
~40,175
solves remaining
≈ 263 sessions at your current pace
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 is 8.81 seconds, which is 0.33 seconds below the target time. A decreasing standard deviation, from a prior value to the current 1.027 seconds, indicates improved consistency. However, the 14-day slope of -0.004299 s/day and 30-day slope of -0.001969 s/day suggest a slowing rate of improvement, indicating a performance plateau.
The 'efficiency_bottleneck' diagnosis, coupled with the plateau in improvement rate, suggests that further time reduction requires optimizing move efficiency rather than solely relying on faster recognition or execution. The gap between the session median of 9.14 seconds and the AO100 of 8.81 seconds indicates potential for improvement within existing solve characteristics.
Implement a block-building drill focusing on reducing move count in cross and F2L.
Practice slow, deliberate solves prioritizing optimal fingertricks and minimal rotations.
Record and analyze solves to identify redundant or inefficient movements, aiming for a reduction in total moves per solve.
The current tier gap of 0 indicates alignment with the stated goal of achieving sub-8 second solves. Maintaining the current solve volume of 677 weekly solves is crucial for continued progress, though 40175 solves remain to reach a long-term target. Consistent effort focused on efficiency will yield further gains.
The 'structural_plateau' diagnosis suggests that continued practice without a change in approach may yield diminishing returns. Ignoring the efficiency bottleneck could limit the potential for further time reduction despite high solve volume.