[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"reports-detail-2026-05-29-extreme-triple-zeros-zh-TW":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},"2026-05-29-extreme-triple-zeros","daily",null,"2026-05-30 00:30:00","2026-05-30 00:30:13","\u002Fstatic\u002Fog\u002F2026-05-29-extreme-triple-zeros.jpg",0,"罕見！豹子號0+0+0與總和0爆冷","罕見豹子號與總和0，加拿大28大事件","加拿大28昨日出現罕見事件，豹子號0+0+0與總和0驚喜登場，資料異常值得關注。","加拿大28昨日驚現罕見豹子號0+0+0以及總和值0，兩事件令人矚目。","據本站資料顯示，昨日（2026年5月29日）加拿大28共開獎402期。當日出現兩起引人關注的極端事件，包括豹子號「0+0+0」和罕見總和值0。這兩件事分別發生在第3438205期和第3438321期，極大增加了資料的波動性。\n\n## 昨日走勢與資料概覽\n\n昨日的開獎資料顯示，小號（0-13）在402期中開出219次，占比達54.48%，優勢明顯；相較之下，大號開出183次，占比45.52%。單雙比方面，偶數占上風，以205次對197次領先。\n\n## 極端事件：豹子號與總值亮相\n\n第一起極端事件發生在第3438205期，三球組合為0+0+0，形成豹子號。這種情況極為少見，過去一個月僅出現過1次。\n\n另一事件發生於第3438321期，總和值為0。這種總值通常被認為幾乎不可能，但卻在當期出現，再度讓人驚嘆。\n\n## 熱號與冷號情況\n\n當日熱號榜單顯示，和值12開出36次，成為最活躍數字；緊隨其後的是和值13和16，各開出33次。冷號方面，和值0、24、25、26依然冷凍未現，最長已達230期未開。\n\n## 延伸觀察\n\n極端事件的集中出現是否預示未來走勢的變化？值得持續跟進。",2,[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","罕見豹子號爆出：5+5+5開出震撼","今日加拿大28第 3440224 期出現豹子號 5+5+5，極端機率僅 1%，連續兩日現此現象。",1,{"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","罕見豹子號頻現，AI演算法表現亮眼","昨日加拿大28出現三次罕見豹子號，同時AI演算法整體命中率提升至41.6%，表現亮眼。",3,{"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","罕見豹子號驚現：7+7+7震撼開出","第3440074期加拿大28驚現罕見7+7+7豹子號，理論機率僅1%，極具稀有性。",[41,46,51,56,62,68,74,80,86,92,98,104,110,116,122,128,134,140,145,151,157,163,169,175,181,187,193,199,205,211],{"code":42,"nameZhCn":43,"nameZhTw":44,"nameEnUs":45,"sortOrder":26},"quantum_probability","量子概率引擎","量子機率引擎","Quantum Probability Engine",{"code":47,"nameZhCn":48,"nameZhTw":49,"nameEnUs":50,"sortOrder":16},"deep_neural_network","深度神经网络","深度神經網路","Deep Neural Network",{"code":52,"nameZhCn":53,"nameZhTw":54,"nameEnUs":55,"sortOrder":33},"genetic_evolution","遗传进化算法","遺傳進化演算法","Genetic Evolution Algorithm",{"code":57,"nameZhCn":58,"nameZhTw":59,"nameEnUs":60,"sortOrder":61},"markov_chain","马尔可夫链","馬可夫鏈","Markov Chain",4,{"code":63,"nameZhCn":64,"nameZhTw":65,"nameEnUs":66,"sortOrder":67},"deep_learning","深度学习","深度學習","Deep Learning",5,{"code":69,"nameZhCn":70,"nameZhTw":71,"nameEnUs":72,"sortOrder":73},"bayesian","贝叶斯推理","貝氏推論","Bayesian Inference",6,{"code":75,"nameZhCn":76,"nameZhTw":77,"nameEnUs":78,"sortOrder":79},"random_forest","随机森林","隨機森林","Random Forest",7,{"code":81,"nameZhCn":82,"nameZhTw":83,"nameEnUs":84,"sortOrder":85},"lstm","LSTM 长短期记忆","LSTM 長短期記憶","LSTM Network",8,{"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]