[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"reports-detail-2026-05-27-span-nine-observed-en-US":3,"reports-algorithms":40},{"slug":4,"type":5,"extremeSubtype":6,"publishAt":7,"updateTime":8,"coverImage":9,"viewCount":10,"title":11,"metaTitle":12,"metaDesc":13,"summary":14,"content":15,"readMinutes":16,"related":17},"2026-05-27-span-nine-observed","daily",null,"2026-05-28 00:30:00","2026-05-28 15:58:49","\u002Fstatic\u002Fog\u002F2026-05-27-span-nine-observed.jpg",0,"Span Extreme Value 9 Returns, Hot Number Distribution Insights","Canada 28 Span Extreme Value and Hot Number Analysis - JND28","On May 27, 2026, Canada 28 recorded the rare span extreme value of 9 again, with hot number 14 showing a significant share. Dive into detailed data insights.","Yesterday's Canada 28 results featured the rare span extreme value of 9 and a notable rise in hot number 14's share, offering key insights for short-term data trends.","## Span Extreme Value 9 Returns\n\nYesterday's Canada 28 draws showcased the reappearance of the rare span extreme value of 9. This phenomenon, characterized by concentrated numerical values, warrants attention.\n\nOut of 364 draws, span 9 occurred 17 times, accounting for 4.67%. While this proportion deviates slightly from the average span value, it remains within statistical norms. The span distribution is primarily concentrated in the mid-range, with span 6 being the most frequent at 17.31% (63 occurrences). This pattern highlights the significant variability in span data.\n\n## Hot Number Distribution Insights\n\nAmong the hot numbers, the sum of 14 dominated with a 9.07% share (33 occurrences), significantly surpassing other popular sums. Following this were sums 13 and 12, with shares of 7.69% each. These high-frequency numbers provide valuable references for short-term trends.\n\nConversely, cold numbers continued their prolonged absence. Sums 0, 2, 24, 26, and 27 have now gone 230 consecutive draws without appearing, a notably rare freeze period in historical data.\n\n## AI Algorithm Performance Evaluation\n\nYesterday's AI prediction algorithms showed promising results, with the deep neural network and Kelly formula achieving combined accuracy rates of 45.68% and 45.61%, respectively, standing out among 30 algorithm models. The deep neural network particularly excelled in number predictions, reaching an accuracy of 53.82%.\n\nHowever, some algorithms underperformed, such as the volatility algorithm, which recorded a combined accuracy of only 33.14%, significantly below the overall average accuracy of 41.22%. This lower performance may indicate the model's sensitivity to data fluctuations.\n\n## Observational Summary\n\nThe reappearance of span extreme value 9 and the high share of hot number 14 underscore specific short-term data fluctuations. Additionally, the varied performance of AI algorithms provides directions for further analysis.",7,[18,27,34],{"slug":19,"type":20,"extremeSubtype":21,"publishAt":22,"coverImage":23,"viewCount":10,"title":24,"summary":25,"readMinutes":26},"2026-06-03-extreme-triple-5","extreme","E1","2026-06-03 02:01:48","\u002Fstatic\u002Fog\u002F2026-06-03-extreme-triple-5.jpg","Rare Triple Number Emerges: 5+5+5 Stuns in Canada 28","Today's Canada 28 draw 3440224 featured the rare triple number 5+5+5, with an extreme probability of only 1%, marking the second consecutive day of such phenomena.",2,{"slug":28,"type":5,"extremeSubtype":6,"publishAt":29,"coverImage":30,"viewCount":10,"title":31,"summary":32,"readMinutes":33},"2026-06-02-extreme-events","2026-06-03 00:30:00","\u002Fstatic\u002Fog\u002F2026-06-02-extreme-events.jpg","Rare Triple Numbers Appear Frequently, AI Algorithm Shines","Yesterday's Canada 28 draws featured three rare triple numbers, while AI algorithms achieved an impressive 41.6% hit rate, showcasing remarkable performance.",8,{"slug":35,"type":20,"extremeSubtype":21,"publishAt":36,"coverImage":37,"viewCount":10,"title":38,"summary":39,"readMinutes":26},"2026-06-02-extreme-triple-7","2026-06-02 16:43:49","\u002Fstatic\u002Fog\u002F2026-06-02-extreme-triple-7.jpg","Rare Triple Number Appears: 7+7+7 Stuns in Draw","Draw #3440074 of Canada 28 featured the rare triple number 7+7+7, with a theoretical probability of just 1%, making it an exceptional occurrence.",[41,47,52,58,64,70,76,81,86,92,98,104,110,116,122,128,134,140,145,151,157,163,169,175,181,187,193,199,205,211],{"code":42,"nameZhCn":43,"nameZhTw":44,"nameEnUs":45,"sortOrder":46},"quantum_probability","量子概率引擎","量子機率引擎","Quantum Probability Engine",1,{"code":48,"nameZhCn":49,"nameZhTw":50,"nameEnUs":51,"sortOrder":26},"deep_neural_network","深度神经网络","深度神經網路","Deep Neural Network",{"code":53,"nameZhCn":54,"nameZhTw":55,"nameEnUs":56,"sortOrder":57},"genetic_evolution","遗传进化算法","遺傳進化演算法","Genetic Evolution Algorithm",3,{"code":59,"nameZhCn":60,"nameZhTw":61,"nameEnUs":62,"sortOrder":63},"markov_chain","马尔可夫链","馬可夫鏈","Markov Chain",4,{"code":65,"nameZhCn":66,"nameZhTw":67,"nameEnUs":68,"sortOrder":69},"deep_learning","深度学习","深度學習","Deep Learning",5,{"code":71,"nameZhCn":72,"nameZhTw":73,"nameEnUs":74,"sortOrder":75},"bayesian","贝叶斯推理","貝氏推論","Bayesian Inference",6,{"code":77,"nameZhCn":78,"nameZhTw":79,"nameEnUs":80,"sortOrder":16},"random_forest","随机森林","隨機森林","Random Forest",{"code":82,"nameZhCn":83,"nameZhTw":84,"nameEnUs":85,"sortOrder":33},"lstm","LSTM 长短期记忆","LSTM 長短期記憶","LSTM Network",{"code":87,"nameZhCn":88,"nameZhTw":89,"nameEnUs":90,"sortOrder":91},"monte_carlo","蒙特卡洛模拟","蒙地卡羅模擬","Monte Carlo Simulation",9,{"code":93,"nameZhCn":94,"nameZhTw":95,"nameEnUs":96,"sortOrder":97},"clustering","聚类追踪","聚類追蹤","Cluster Tracking",10,{"code":99,"nameZhCn":100,"nameZhTw":101,"nameEnUs":102,"sortOrder":103},"volatility","波动率","波動率","Volatility",11,{"code":105,"nameZhCn":106,"nameZhTw":107,"nameEnUs":108,"sortOrder":109},"edge_value","边缘值","邊緣值","Edge Value",12,{"code":111,"nameZhCn":112,"nameZhTw":113,"nameEnUs":114,"sortOrder":115},"anti_martingale","反马丁格尔","反馬丁格爾","Anti-Martingale",13,{"code":117,"nameZhCn":118,"nameZhTw":119,"nameEnUs":120,"sortOrder":121},"ensemble_voting","综合投票","綜合投票","Ensemble Voting",14,{"code":123,"nameZhCn":124,"nameZhTw":125,"nameEnUs":126,"sortOrder":127},"momentum","动量加速度","動量加速度","Momentum",15,{"code":129,"nameZhCn":130,"nameZhTw":131,"nameEnUs":132,"sortOrder":133},"quantile","分位数","分位數","Quantile",16,{"code":135,"nameZhCn":136,"nameZhTw":137,"nameEnUs":138,"sortOrder":139},"double_step_transition","双步转移","雙步轉移","Double-Step Transition",17,{"code":141,"nameZhCn":142,"nameZhTw":142,"nameEnUs":143,"sortOrder":144},"local_entropy","局部熵","Local Entropy",18,{"code":146,"nameZhCn":147,"nameZhTw":148,"nameEnUs":149,"sortOrder":150},"residual_trend","残差趋势","殘差趨勢","Residual Trend",19,{"code":152,"nameZhCn":153,"nameZhTw":154,"nameEnUs":155,"sortOrder":156},"streak_length","连势长度","連勢長度","Streak Length",20,{"code":158,"nameZhCn":159,"nameZhTw":160,"nameEnUs":161,"sortOrder":162},"decay_missing","衰减遗漏","衰減遺漏","Decay Missing",21,{"code":164,"nameZhCn":165,"nameZhTw":166,"nameEnUs":167,"sortOrder":168},"rule_voting","规则投票","規則投票","Rule Voting",22,{"code":170,"nameZhCn":171,"nameZhTw":172,"nameEnUs":173,"sortOrder":174},"cold_hot_balance","冷热平衡","冷熱平衡","Cold-Hot Balance",23,{"code":176,"nameZhCn":177,"nameZhTw":178,"nameEnUs":179,"sortOrder":180},"kelly","凯利公式","凱利公式","Kelly Criterion",24,{"code":182,"nameZhCn":183,"nameZhTw":184,"nameEnUs":185,"sortOrder":186},"mean_reversion","均值回归","均值回歸","Mean Reversion",25,{"code":188,"nameZhCn":189,"nameZhTw":190,"nameEnUs":191,"sortOrder":192},"autocorrelation","自相关","自相關","Autocorrelation",26,{"code":194,"nameZhCn":195,"nameZhTw":196,"nameEnUs":197,"sortOrder":198},"fibonacci","斐波那契","費波那契","Fibonacci",27,{"code":200,"nameZhCn":201,"nameZhTw":202,"nameEnUs":203,"sortOrder":204},"miss_chase","遗漏追热","遺漏追熱","Miss Chase",28,{"code":206,"nameZhCn":207,"nameZhTw":208,"nameEnUs":209,"sortOrder":210},"number_combination","数字组合","數字組合","Number Combination",29,{"code":212,"nameZhCn":213,"nameZhTw":214,"nameEnUs":215,"sortOrder":216},"recent_chain","近链推演","近鏈推演","Recent Chain",30]