Weekly Data Overview
Yesterday's Canada 28 draws covered the period from June 29 to July 5, 2026, spanning a total of 2,815 draws. Throughout the week, the big/small ratio stood at 1,437:1,378, with big numbers slightly dominating at 51.05%, compared to the theoretical expectation of 50%, showing a deviation of +1.05%. The odd/even ratio was nearly balanced at 50.34% and 49.66%, closely aligning with theoretical values.
Daily Big/Small Trends:
- From Monday to Wednesday, the big number ratio surged from 47.89% to 55.47%, indicating growth.
- The latter half of the week saw more stability, ending at 49.25%.
- Regarding odd/even trends, Thursday marked the highest fluctuation, with odd numbers reaching 54.23%.
These patterns suggest notable system fluctuations during different time periods.
Weekly Highlights
On June 29, several extreme events occurred, including rare triple numbers "555," "111," and "000," alongside a total sum of 0. Similar anomalies reappeared on July 2, featuring "000" and another total sum of 0.
Surprisingly, July 3 witnessed yet another rare triple number "000," followed by frequent extreme total sums. Such occurrences are extraordinarily rare, making their repeated appearance within a single week remarkable.
AI Algorithm Performance
Among the 30 AI algorithms evaluated this week, the "Monte Carlo" algorithm stood out with a leading accuracy rate of 46.12%. "Mean Reversion" followed closely at 46.03%, while "Anti-Martingale" secured third place with 45.92%. Each algorithm was validated using a sample size of 11,260, showcasing impressive precision.
In contrast, the lowest-performing algorithm, "Second-Order Transition," achieved only 35.16% accuracy, indicating a notable deviation.
Summary
This week's data distribution highlighted the characteristic of "Volatility," especially in the short-term shifts of big/small and odd/even ratios. The AI algorithms demonstrated increasing stability, with the "Monte Carlo" algorithm delivering exceptional results as the weekly champion. The frequent occurrence of extreme events added intrigue to the data, warranting continued observation of future trends.