Data Trends and Distribution
From October 5 to October 11, 2026, Canada 28 conducted a total of 2,814 draws. According to the law of large numbers, big numbers (sum values 14-27) appeared 1,388 times, accounting for 49.32%, while small numbers (sum values 0-13) appeared 1,426 times, accounting for 50.68%. This closely aligns with the theoretical probability of 50%, though minor deviations were observed.
In terms of odd and even sums, odd sums occurred 1,390 times (49.4%), and even sums appeared 1,424 times (50.6%). These trends align with the characteristics of independent random events, where deviations diminish as the sample size increases.
Hot Numbers and Span Distribution
The top five hot numbers this week were sums 13 (7.68%), 12 (7.36%), 16 (7.11%), 15 (7.0%), and 14 (6.89%). Notably, the frequency of sum 13 was significantly higher than the average value (ideal value 1/28 ≈ 3.57%). Regarding span distribution, the most frequent span was 5 (435 occurrences), followed by spans 4 and 6 (417 and 391 occurrences, respectively). Rare spans, such as 0, appeared only 26 times, consistent with their theoretical rarity.
AI Algorithm Performance
Analyzing this week's draw data, the overall accuracy of AI algorithms was 41.27%. The top-performing algorithms were 'Local Entropy,' 'Kelly Criterion,' and 'Deep Learning,' each achieving a combined accuracy of 45.71%, 45.71%, and 45.61%, respectively. Notably, 'Local Entropy' excelled in predicting specific numbers with an accuracy of 54.91%.
In contrast, the least effective algorithm, 'Two-Step Transition,' achieved only 33.78% accuracy. This highlights the need for algorithm adjustments to adapt to new data distributions during periods of significant fluctuation.
Review of Extreme Events
This week saw several extreme events that garnered widespread attention:
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On October 5, multiple triples, including '666,' '222,' and '111,' were drawn. The theoretical probability of a triple is 1/1000 (0.1%). The occurrence of multiple triples in a single day significantly deviates from expectations.
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On October 9, the extreme sum value of 0 appeared twice. With a theoretical probability of just 1/1000, this result was astonishing.
These extreme data points remind us that while the law of large numbers stabilizes outcomes over the long term, short-term deviations can still exceed expectations.
Conclusion
This week's analysis provides a clearer understanding of theoretical trends and actual deviations in Canada 28 data. Moving forward, we will continue to monitor AI algorithm performance and data anomalies to deliver engaging and insightful analyses.