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-15
AO100 is trending upward while inconsistency is also rising. Fatigue, overtraining, or technique regression are common causes.
Sub-20 → Sub-15
🧭 Typical at this level
- • Full cross planning (4 pieces)
- • Beginning Cross+1 inspection
- • Basic look-ahead during F2L
🎯 Recommended focus
- • Slow down turning to develop look-ahead
- • Execute known F2L pairs "blindly"
- • Minimize rotations during F2L
~1,967
solves remaining
≈ 54 sessions at your current pace
Sub-17s
~214
solves to next milestone
≈ 6 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 May 19, 2026
Performance Trend & Forecast
AI Performance Insight
Your AO100 of 17.68s puts you in the sub-20 tier, but your recent trend is moving in the wrong direction. A standard deviation of 2.688s shows significant instability in your solve times. You are currently facing a regression risk that is offsetting your overall progress.
You must prioritize efficiency and recognition to break the current plateau. Because you are efficiency limited, your solve variance is too high. Focusing on lookahead will reduce the pauses that are driving your 2.688s standard deviation.
Complete 30 slow-turn solves per day where you forbid any pauses between steps.
Use a metronome to maintain a steady pace and focus on recognizing the next pair before finishing the current one.
This trains the lookahead necessary to fix your efficiency limits.
Your 14-day improvement rate of 0.020178 s/day confirms that you are still capable of cutting time. This metric shows that the technical ability to improve is present despite the recent regression.
Your consistency is worsening by 0.557s. This trend indicates a high risk of further regression if you do not stabilize your solve process.