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-25
Consistency is strong, but improvement has stalled. Sub-optimal move efficiency or technique ceiling is likely limiting further AO100 drops.
Sub-30 → Sub-20
🧭 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
~228
solves remaining
≈ 11 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.
More recent solves improve forecast accuracy.
Solve prediction improves with consistent recent sessions.
Based on solve data as of Mar 7, 2026
Performance Trend & Forecast
AI Performance Insight
Current performance is stable around a 26.25-second average, indicated by the AO100. However, a slight increase in solve standard deviation, from a prior value to 3.879 seconds, suggests growing inconsistency. The 30-day slope of -0.040209 s/day indicates a minor, but present, trend of slowing times, despite the overall plateau.
Address the increasing inconsistency in solve times. The gap of -0.18 seconds to the target suggests performance is currently meeting the goal, but the worsening stability state indicates this may not continue. Reducing variability is crucial for progressing from the current phase.
Implement slow turning drills focusing on pause-and-check execution to improve move accuracy.
Practice fingertricks with a metronome, starting at a slow tempo, to build consistent muscle memory.
Incorporate block building exercises to reinforce algorithm execution without time pressure.
The current plateau, combined with the diagnosis of an efficiency bottleneck, suggests that incremental improvements in consistency will yield the greatest gains. Maintaining the current weekly solve volume of 7 solves is sufficient, but focused practice is needed to address the identified issues.
Continued worsening of solve standard deviation could lead to a more significant decline in average times. The structural plateau suggests that simply increasing solve volume will likely not result in performance improvements without addressing the underlying efficiency issues.