Performance Over Time
Latest 20 Solves
Click a dot to see scramble
Daily AO12
Daily AO100 & Mean
Monthly Stats
Includes historical & solve-based data
Growth Prediction
🎯 Chasing Sub-10
Recognition and execution are aligned within the expected range. Improvement here comes from technique refinement rather than raw speed development.
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
~369,246
solves remaining
≈ 3,518 sessions at your current pace
Sub-15s
~4,351
solves to next milestone
≈ 41 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 24, 2026
Performance Trend & Forecast
AI Performance Insight
Recent performance indicates improvement, with a 30-day average reduction of 0.007767 seconds per solve. However, the standard deviation of recent solves has increased to 2.073s, up 0.385s from the prior period, suggesting increasing inconsistency despite the overall trend. The current average of 15.52s is 0.44s below the current target.
Reduce solve-to-solve variability. While the 14-day slope shows a positive trend, the rising standard deviation indicates that improvements are not yet reliably replicated. Addressing this inconsistency is crucial for progressing from the current Sub-20 to Sub-15 phase.
Implement slow turning drills focusing on pause-and-check execution to improve move accuracy.
Integrate block building with a focus on fingertrick consistency, aiming for 50 blocks per session.
Record and review solve videos to identify and correct recurring errors contributing to the increased standard deviation.
Progressing to the next tier requires consistent execution. The current performance level is 1 tier away from the next goal, and the recent trend suggests this is achievable. Maintaining focus on reducing variability will yield predictable improvements.
The 'worsening' stability status, coupled with the increasing standard deviation, suggests a potential plateau if inconsistency is not addressed. Continued acceleration without improved stability may lead to performance regression.