Milestones
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-8
Recognition and execution are aligned within the expected range. Improvement here comes from technique refinement rather than raw speed development.
Sub-10 → Sub-8
🧭 Typical at this level
- • Consistent Full Cross+1 inspection
- • Efficient F2L (pseudo-slotting/keyhole)
- • Strong 1-look PLL recognition
🎯 Recommended focus
- • Improve Cross+1 success rate
- • Reduce move count in F2L
- • Eliminate micro-pauses through advanced look-ahead
~242,053
solves remaining
≈ 1,117 sessions at your current pace
Sub-9s
~33,953
solves to next milestone
≈ 157 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 25, 2026
Performance Trend & Forecast
AI Performance Insight
Your AO100 of 9.61s and recent session average of 9.5s show you are trending faster. The 0.287s improvement in your consistency trend indicates your solves are becoming more stable. You are currently efficiency_limited, meaning your move count is the primary ceiling.
You must prioritize algorithm efficiency and move count reduction. With a 14-day improvement rate of -0.018929 s/day, you are making progress, but efficiency is the only way to break the sub-9 barrier.
Execute 50 slow-turn solves per session where you prioritize zero rotations and minimal regrips.
Track your move count on F2L and aim to reduce the total by 2-4 moves per solve.
Your 14-day improvement rate of -0.018929 s/day confirms that your current training is producing real, measurable results.
The estimate of 242053 solves to reach your target indicates that raw volume is insufficient. You risk stagnation if you do not shift from mindless solving to deliberate efficiency training.