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-10
Consistency is strong, but improvement has stalled. Sub-optimal move efficiency or technique ceiling is likely limiting further AO100 drops.
Sub-20 → Sub-15
→Sub-15 → Sub-10
1 tier🧭 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
~52,087
solves remaining
≈ 4,740 sessions at your current pace
Sub-17s
~311
solves to next milestone
≈ 28 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 7, 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 17.65 seconds, while the recent median of 12 solves is 18.23 seconds. This indicates a stable, but not improving, performance level. A standard deviation of 2.536 seconds suggests variability in execution, but this has not changed recently.
Addressing the efficiency bottleneck is critical for progression. The diagnosis tags indicate performance is limited by execution efficiency, and the plateau in both 14-day and 30-day solve time trends confirms this. Reducing solve-to-solve time variation, as indicated by the standard deviation, will likely yield the most immediate gains.
Implement slow turning drills focusing on pause and control at each step of the algorithm.
Practice block building with a metronome, gradually increasing speed while maintaining accuracy.
Incorporate lookahead training during solves, specifically focusing on predicting the next step while executing the current one.
The current tier gap of 1 suggests a defined, achievable progression target. While the volume of weekly solves is low at 9, the substantial number of solves remaining to reach the target (52087) indicates a long-term commitment to improvement. Consistent effort focused on efficiency will be the key to closing this gap.
The current plateau, combined with a stable standard deviation, suggests a risk of stagnation. Without targeted practice to improve efficiency, continued performance at the current level is probable.