[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"reports-detail-2026-07-25-ai-performance-review-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},"2026-07-25-ai-performance-review","daily",null,"2026-07-26 00:30:00","2026-07-26 00:30:10","\u002Fstatic\u002Fog\u002F2026-07-25-ai-performance-review.jpg",0,"AI Hit Rate Insights: Yesterday's Top Five Algorithms","Canada 28 AI Performance Analysis: How Did Yesterday's Top Five Fare?","Daily report for Canada 28 on July 25, 2026, analyzing AI algorithm hit rates and comparing the top five performers with the bottom three.","Yesterday's Canada 28 AI algorithm hit rates revealed close competition among the top five, while the bottom three showed significant fluctuations, drawing attention.","Yesterday's Canada 28 draws, spanning 402 rounds from 3461094 to 3461495, revealed intriguing trends. Data shows that small numbers had a slight edge with a 50.75% occurrence rate, while odd numbers led the odd\u002Feven ratio at 51.24%. Among hot numbers for sum values, 13 appeared most frequently, with 33 occurrences, accounting for 8.21%. Additionally, spans were primarily concentrated between 4 and 6, totaling 175 rounds or approximately 43.53% of all draws.\n\n## Analysis of Top Five AI Algorithms\n\nBased on yesterday's statistics, the average hit rate across 30 AI algorithms on this platform was 40.93%. Leading the pack was the \"Anti-Martingale\" algorithm, achieving a hit rate of 45.62%. Its number accuracy stood out at 55.33%, surpassing the average by about 14.4 percentage points. Following closely was the \"Deep Neural Network\" algorithm, with a hit rate of 44.86% and the highest number accuracy among all algorithms at 55.84%.\n\nThe \"Deep Learning\" and \"Local Entropy\" algorithms demonstrated similar hit rates, both around 44.7%, showcasing steady predictive capabilities. Meanwhile, the \"Kelly Criterion\" and \"Deep Learning\" algorithms tied for fourth place, each achieving a hit rate of 44.73%.\n\n## Performance of the Bottom Three Algorithms\n\nOn the lower end, the \"Two-Step Transition\" and \"Volatility\" algorithms recorded hit rates of 33.44% and 33.5%, respectively, significantly below the average. The \"Two-Step Transition\" algorithm, in particular, struggled with number accuracy, achieving only 10.15%, indicating sensitivity issues with specific patterns. The \"Bayesian Algorithm\" fared slightly better, with a hit rate of 34.84%, but still showed room for improvement.\n\n## Observations on Cold and Hot Numbers\n\nYesterday's cold number data highlighted several numbers missing for 230 consecutive rounds, including sum values 0, 1, 25, 26, and 27. In contrast, hot numbers were concentrated around sum values 13, 12, and 16, appearing 33, 32, and 31 times respectively.\n\n### Additional Insights\n\nOverall, yesterday's Canada 28 AI algorithm performance was stable, with intense competition among the top five. The fluctuations observed in the bottom three algorithms may point to differences in data adaptability, which warrants further attention.",8,[18,27,33],{"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":20,"extremeSubtype":21,"publishAt":29,"coverImage":30,"viewCount":10,"title":31,"summary":32,"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.",{"slug":34,"type":20,"extremeSubtype":35,"publishAt":36,"coverImage":37,"viewCount":10,"title":38,"summary":39,"readMinutes":26},"2026-07-24-extreme-ten-small","E3","2026-07-25 18:21:57","\u002Fstatic\u002Fog\u002F2026-07-24-extreme-ten-small.jpg","10 Consecutive All-Small Results! Probability Only 0.1%","Just now, Canada 28 recorded 10 consecutive all-small results, a probability of only 0.1%! The last time this happened was back on July 24, 2026.",[41,47,53,58,64,70,76,82,87,93,99,105,111,117,123,129,135,141,146,152,158,164,170,176,182,188,194,200,206,212],{"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":52},"deep_neural_network","深度神经网络","深度神經網路","Deep Neural Network",2,{"code":54,"nameZhCn":55,"nameZhTw":56,"nameEnUs":57,"sortOrder":26},"genetic_evolution","遗传进化算法","遺傳進化演算法","Genetic Evolution Algorithm",{"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":81},"random_forest","随机森林","隨機森林","Random Forest",7,{"code":83,"nameZhCn":84,"nameZhTw":85,"nameEnUs":86,"sortOrder":16},"lstm","LSTM 长短期记忆","LSTM 長短期記憶","LSTM Network",{"code":88,"nameZhCn":89,"nameZhTw":90,"nameEnUs":91,"sortOrder":92},"monte_carlo","蒙特卡洛模拟","蒙地卡羅模擬","Monte Carlo Simulation",9,{"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]