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-11
Consistency is strong, but improvement has stalled. Sub-optimal move efficiency or technique ceiling is likely limiting further AO100 drops.
Sub-15 → Sub-10
🧭 Typical at this level
- • Strong F2L look-ahead
- • Low-rotation solving
- • Consistent Full PLL
- • Cross occasionally planned with +1
🎯 Recommended focus
- • Eliminate all visible pauses during F2L
- • Track the next pair before finishing the current insertion
- • Reduce rotation count
~1,097
solves remaining
≈ 16 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.
Forecast will stabilize with more sessions.
Based on solve data as of Mar 17, 2026
Performance Trend & Forecast
AI Performance Insight
Current average solve times, indicated by the 11.16s AO100, are 0.21s below the target. However, performance progression has reached a plateau, as evidenced by both the 14-day and 30-day slopes of 0.004671 s/day. The solve standard deviation of 1.498s, while not increasing, suggests consistency gains are limited.
Improve solve efficiency. The 'efficiency_bottleneck' stability state, combined with the plateau in performance, indicates that reducing variability within individual solves will yield the greatest improvement. A standard deviation of 1.498s suggests substantial time is lost to inconsistent execution.
Implement slow-turn drills focusing on fingertricks and move precision.
Practice 30-minute blocks of cross solves, aiming for consistent execution times under 2 seconds.
Supplement with lookahead training, focusing on identifying the next step during move execution.
The current performance level is already below the target, demonstrating existing capability. Addressing the identified efficiency limitations represents a focused path toward further improvement. Maintaining current volume (386 weekly solves) will provide sufficient data for evaluating the impact of practice adjustments.
Continued plateauing despite high solve volume may indicate a need to reassess fundamental technique. Ignoring the 'efficiency_bottleneck' diagnosis could lead to stagnation, as gains from increased speed will be offset by inconsistent execution.