[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"reports-detail-2026-06-21-week-extreme-patterns-en-US":3,"reports-algorithms":41},{"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},"2026-06-21-week-extreme-patterns","weekly",null,"2026-06-22 00:35:00","2026-06-22 00:35:16","\u002Fstatic\u002Fog\u002F2026-06-21-week-extreme-patterns.jpg",0,"Canada 28 Weekly Extreme Trends and Top Algorithm Performers","Canada 28 Extreme Data Analysis and Weekly Algorithm Champions Revealed","This week's Canada 28 data analysis uncovers multiple extreme phenomena, including rare trends and top-performing algorithms for accurate predictions. A detailed breakdown awaits!","This week's Canada 28 data highlights several extreme occurrences, such as frequent small numbers and triple numbers. Meanwhile, the Kelly formula leads the top three algorithms with impressive prediction stability.","## Weekly Data Overview and Trend Analysis\n\nYesterday's Canada 28 data reveals intriguing patterns from June 15 to June 21, 2026, with a total of 2,814 draws, averaging 402 per day. Big numbers accounted for 49.0%, while small numbers slightly surpassed at 51.0%, showing near balance overall. Odd numbers comprised 48.72%, and even numbers made up 51.28%, all within normal ranges compared to the past 30 days.\n\nDaily fluctuations were notable: on June 19, the proportion of big numbers surged to 54.98%, while on June 21, it dropped to 44.53%, indicating significant deviations. Such continuous changes warrant further observation, potentially hinting at emerging short-term patterns.\n\n## Hot Numbers and Span Distribution\n\nThe top five hot numbers this week were sums of 14 (8.14%), 13 (7.64%), 12 (7.43%), 11 (7.29%), and 15 (6.75%). These frequently occurring sums might serve as short-term reference points.\n\nRegarding span distribution, span 4 ranked highest at 15.73% (443 occurrences), followed by span 6 (15.25%) and span 3 (11.69%). Small spans (0–2) accounted for 19.5%, large spans (7–9) for 27.97%, and medium spans (3–6) dominated at 52.53%, indicating a clear concentration trend.\n\n## Weekly Algorithm Champions\n\nAI algorithm performance this week crowned the Kelly formula as the leader with an overall accuracy of 45.74%, followed by deep learning (45.55%) and local entropy (45.51%). The Kelly formula maintained its reliability with a sample size of 11,256, showcasing outstanding results. While deep learning and local entropy showed slight differences in predicting specific values, their overall performance remained consistent.\n\nFor big number predictions, the average accuracy was 51.17%, and for odd\u002Feven predictions, it stood at 49.86%. Compared to the past three weeks, this marks an average improvement of approximately 0.8 percentage points, reflecting effective optimization.\n\n## Extreme Events Recap\n\nThis week saw several extreme events, including consecutive 10 draws of all small numbers on June 15 and June 16, as well as multiple occurrences of triple numbers (e.g., 333, 444) from June 16 to June 20. Though statistically rare, the frequency of these events is noteworthy.\n\nParticularly striking was the rare sum of 0 on June 16, with a probability of just 0.1%. This marks only the second occurrence in the past six months, highlighting the randomness and anomalies within the data.\n\n---\n\nThis week's analysis underscores stable foundations amidst dramatic fluctuations. Future trends will require deeper tracking across extended timelines, with algorithm optimization and trend analysis continuing to play a pivotal role.",9,[18,27,35],{"slug":19,"type":20,"extremeSubtype":21,"publishAt":22,"coverImage":23,"viewCount":10,"title":24,"summary":25,"readMinutes":26},"2026-07-26-extreme-triple-3","extreme","E1","2026-07-26 07:10:12","\u002Fstatic\u002Fog\u002F2026-07-26-extreme-triple-3.jpg","Shocking! Triple Number 3+3+3 Appears Again","In Canada 28 draw #3461618, the rare triple number 3+3+3 appeared again, an event with a mere 1% probability.",3,{"slug":28,"type":29,"extremeSubtype":6,"publishAt":30,"coverImage":31,"viewCount":10,"title":32,"summary":33,"readMinutes":34},"2026-07-25-ai-performance-review","daily","2026-07-26 00:30:00","\u002Fstatic\u002Fog\u002F2026-07-25-ai-performance-review.jpg","AI Hit Rate Insights: Yesterday's Top Five Algorithms","Yesterday's Canada 28 AI algorithm hit rates revealed close competition among the top five, while the bottom three showed significant fluctuations, drawing attention.",8,{"slug":36,"type":20,"extremeSubtype":21,"publishAt":37,"coverImage":38,"viewCount":10,"title":39,"summary":40,"readMinutes":26},"2026-07-26-extreme-triple-4","2026-07-26 00:27:40","\u002Fstatic\u002Fog\u002F2026-07-26-extreme-triple-4.jpg","Shocking! Triple Number 4+4+4 Reappears After Just One Day","Canada 28 draw #3461503 showcased the rare triple number 4+4+4, with a theoretical probability of only 1%. This extraordinary event, occurring just one day after the last instance, has stirred significant debate.",[42,48,54,59,65,71,77,83,88,93,99,105,111,117,123,129,135,141,146,152,158,164,170,176,182,188,194,200,206,212],{"code":43,"nameZhCn":44,"nameZhTw":45,"nameEnUs":46,"sortOrder":47},"quantum_probability","量子概率引擎","量子機率引擎","Quantum Probability Engine",1,{"code":49,"nameZhCn":50,"nameZhTw":51,"nameEnUs":52,"sortOrder":53},"deep_neural_network","深度神经网络","深度神經網路","Deep Neural Network",2,{"code":55,"nameZhCn":56,"nameZhTw":57,"nameEnUs":58,"sortOrder":26},"genetic_evolution","遗传进化算法","遺傳進化演算法","Genetic Evolution Algorithm",{"code":60,"nameZhCn":61,"nameZhTw":62,"nameEnUs":63,"sortOrder":64},"markov_chain","马尔可夫链","馬可夫鏈","Markov Chain",4,{"code":66,"nameZhCn":67,"nameZhTw":68,"nameEnUs":69,"sortOrder":70},"deep_learning","深度学习","深度學習","Deep Learning",5,{"code":72,"nameZhCn":73,"nameZhTw":74,"nameEnUs":75,"sortOrder":76},"bayesian","贝叶斯推理","貝氏推論","Bayesian Inference",6,{"code":78,"nameZhCn":79,"nameZhTw":80,"nameEnUs":81,"sortOrder":82},"random_forest","随机森林","隨機森林","Random Forest",7,{"code":84,"nameZhCn":85,"nameZhTw":86,"nameEnUs":87,"sortOrder":34},"lstm","LSTM 长短期记忆","LSTM 長短期記憶","LSTM Network",{"code":89,"nameZhCn":90,"nameZhTw":91,"nameEnUs":92,"sortOrder":16},"monte_carlo","蒙特卡洛模拟","蒙地卡羅模擬","Monte Carlo Simulation",{"code":94,"nameZhCn":95,"nameZhTw":96,"nameEnUs":97,"sortOrder":98},"clustering","聚类追踪","聚類追蹤","Cluster Tracking",10,{"code":100,"nameZhCn":101,"nameZhTw":102,"nameEnUs":103,"sortOrder":104},"volatility","波动率","波動率","Volatility",11,{"code":106,"nameZhCn":107,"nameZhTw":108,"nameEnUs":109,"sortOrder":110},"edge_value","边缘值","邊緣值","Edge Value",12,{"code":112,"nameZhCn":113,"nameZhTw":114,"nameEnUs":115,"sortOrder":116},"anti_martingale","反马丁格尔","反馬丁格爾","Anti-Martingale",13,{"code":118,"nameZhCn":119,"nameZhTw":120,"nameEnUs":121,"sortOrder":122},"ensemble_voting","综合投票","綜合投票","Ensemble Voting",14,{"code":124,"nameZhCn":125,"nameZhTw":126,"nameEnUs":127,"sortOrder":128},"momentum","动量加速度","動量加速度","Momentum",15,{"code":130,"nameZhCn":131,"nameZhTw":132,"nameEnUs":133,"sortOrder":134},"quantile","分位数","分位數","Quantile",16,{"code":136,"nameZhCn":137,"nameZhTw":138,"nameEnUs":139,"sortOrder":140},"double_step_transition","双步转移","雙步轉移","Double-Step Transition",17,{"code":142,"nameZhCn":143,"nameZhTw":143,"nameEnUs":144,"sortOrder":145},"local_entropy","局部熵","Local Entropy",18,{"code":147,"nameZhCn":148,"nameZhTw":149,"nameEnUs":150,"sortOrder":151},"residual_trend","残差趋势","殘差趨勢","Residual Trend",19,{"code":153,"nameZhCn":154,"nameZhTw":155,"nameEnUs":156,"sortOrder":157},"streak_length","连势长度","連勢長度","Streak Length",20,{"code":159,"nameZhCn":160,"nameZhTw":161,"nameEnUs":162,"sortOrder":163},"decay_missing","衰减遗漏","衰減遺漏","Decay Missing",21,{"code":165,"nameZhCn":166,"nameZhTw":167,"nameEnUs":168,"sortOrder":169},"rule_voting","规则投票","規則投票","Rule Voting",22,{"code":171,"nameZhCn":172,"nameZhTw":173,"nameEnUs":174,"sortOrder":175},"cold_hot_balance","冷热平衡","冷熱平衡","Cold-Hot Balance",23,{"code":177,"nameZhCn":178,"nameZhTw":179,"nameEnUs":180,"sortOrder":181},"kelly","凯利公式","凱利公式","Kelly Criterion",24,{"code":183,"nameZhCn":184,"nameZhTw":185,"nameEnUs":186,"sortOrder":187},"mean_reversion","均值回归","均值回歸","Mean Reversion",25,{"code":189,"nameZhCn":190,"nameZhTw":191,"nameEnUs":192,"sortOrder":193},"autocorrelation","自相关","自相關","Autocorrelation",26,{"code":195,"nameZhCn":196,"nameZhTw":197,"nameEnUs":198,"sortOrder":199},"fibonacci","斐波那契","費波那契","Fibonacci",27,{"code":201,"nameZhCn":202,"nameZhTw":203,"nameEnUs":204,"sortOrder":205},"miss_chase","遗漏追热","遺漏追熱","Miss Chase",28,{"code":207,"nameZhCn":208,"nameZhTw":209,"nameEnUs":210,"sortOrder":211},"number_combination","数字组合","數字組合","Number Combination",29,{"code":213,"nameZhCn":214,"nameZhTw":215,"nameEnUs":216,"sortOrder":217},"recent_chain","近链推演","近鏈推演","Recent Chain",30]