Milestones
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-13
Recognition and execution are aligned within the expected range. Improvement here comes from technique refinement rather than raw speed development.
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
~3,565
solves remaining
≈ 44 sessions at your current pace
Sub-14s
~842
solves to next milestone
≈ 10 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 Jul 7, 2026
Performance Trend & Forecast
AI Performance Insight
Your AO100 of 14.5s confirms you are established in the sub-15 tier. The 14-day improvement rate of -0.185789 s/day shows you are in an acceleration phase. However, the efficiency_limited tag indicates that your raw speed is currently higher than your recognition and algorithm efficiency.
You must focus on algorithm efficiency and recognition. Being efficiency_limited means you are likely using suboptimal solutions or experiencing pauses between steps. Improving your recognition will eliminate these pauses and lower your average more effectively than increasing TPS.
Execute 20 slow-turn solves per session where you never stop the cube from moving to train lookahead.
Spend 30 minutes daily drilling specific algorithm sets to ensure finger tricks are fluid and subconscious.
Your momentum is accelerating, as evidenced by a 14-day improvement rate that is significantly stronger than your 30-day rate. The data shows your current trajectory is moving in the right direction.
You have 3565 estimated solves to reach your target. If you rely on volume alone without fixing the efficiency_limited bottleneck, you will likely plateau before hitting sub-10.