排列三遗漏数据
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今天 08:06
排列三26269期排列三遗漏数据和值尾分析
排列三26269期排列三遗漏数据和值尾分析
摘要5 gives group single digit omission data, but date Oct6, before 26268. Need update after draws 26267? It was likely before 26266? Let's inspect based current omissions listed:
0 current8
1 current1
2 current0
3 current2
4 current4
5 current0
6 current8
7 current1
8 current3
9 current0.
Given draws after? If timestamp Oct6 14:39, 26265 occurred Oct6? Let's align:
26264 Oct5
26265 Oct6 draw 954, so table at 14:39 before 26265. Current omission at after 26264:
digit 9 appeared 26264 => current0 yes row9 current0.
digit5 appeared26264 => current0 yes.
digit2 appeared26264 => current0 yes.
digit4 not in 26264; last 26260 (449): after 26261,62,63,64 =4 current4 yes.
digit0 last26256: after 57,58,59,60,61,62,63,64 =8 yes.
digit6 last26256: 8 yes.
digit3 last26262: after63,64=2 yes.
digit1 last26263: after64=1.
digit7 last26263:1.
digit8 last26261: after62,63,64,65? At Oct6 before draw =3 (62,63,64). yes.
Now update through 26268 (draws 26265=954, 26266=121, 26267=216, 26268=300). Need compute current omissions as of before 26269, using last occurrence within recent provided list:
Digits 0-9:
0 last appears 26268 => current0.
1 last appears 26267 => after 26268 only =>1.
2 last appears 26267 =>1.
3 last appears 26268 =>0.
4 last appears 26265 => after 66,67,68 =3.
5 last appears26265 =>3.
6 last appears26267 =>1.
7 last appears26263 => after 64,65,66,67,68 =5.
8 last appears26261 => after62,63,64,65,66,67,68=7.
9 last appears26265 =>3.
But table row counts and historical max should remain roughly; occurrence counts increment each time digit appeared in subsequent 4 draws:
Base counts:
0=2018
1=2066
2=2058
3=2085
4=2212
5=2069
6=2061
7=2055
8=2143
9=2142.
Subsequent draws:
26265 9,5,4 => add 9,5,4
26266 1,2,1 => add1 twice,2 once
26267 2,1,6 => add2,1,6
26268 3,0,0 => add3,0 twice.
New counts:
0=2018+2=2020
1=2066+3=2069
2=2058+2=2060
3=2085+1=2086
4=2212+1=2213
5=2069+1=2070
6=2061+1=2062
7=2055+0=2055
8=2143+0=2143
9=2142+1=2143.
Historical max unchanged:
0 24
1 25
2 21
3 22
4 22
5 35
6 36
7 25
8 26
9 22.
Current omissions as above:
0=0
1=1
2=1
3=0
4=3
5=3
6=1
7=5
8=7
9=3.
Need "小码遗漏排名" template lists 0-4 and sorts by current omission descending, likely original 2026247 small rows: 0 current2,1 1,2 0,3 8,4 4. That's not descending! Wait original small block:
0 current2
1 current1
2 current0
3 current8
4 current4. It is ascending digit order 0,1,2,3,4, not ranked. Title says小码遗漏排名 but simply lists all small digits in order. Similarly large 5,6,7,8,9 order. So we don't need rank, list all 0-4 then 5-9. Great.
Need compute 欲出几率 = current omission / average omission (from 500 table):
Base average omission:
0=2.83 => new current0 /2.83 =0.00
1=2.75 =>1/2.75=0.36
2=2.76=>1/2.76=.36
3=2.71=>0
4=2.50=>3/2.50=1.20
Large:
5=2.74=>3/2.74=1.09
6=2.75=>1/2.75=.36
7=2.77=>5/2.77=1.81
8=2.61=>7/2.61=2.68
9=2.61=>3/2.61=1.15.
Need verify average omission unchanged despite new counts? Slight could change, but use source values. Rows format in original:
号码0：出现次数2014次，历史最大遗漏24期，当前遗漏2期，欲出几率0.71；
Our calculated rows:
号码0：出现次数2020次，历史最大遗漏24期，当前遗漏0期，欲出几率0.00；
号码1：出现次数2069次，历史最大遗漏25期，当前遗漏1期，欲出几率0.36；
号码2：出现次数2060次，历史最大遗漏21期，当前遗漏1期，欲出几率0.36；
号码3：出现次数2086次，历史最大遗漏22期，当前遗漏0期，欲出几率0.00；
号码4：出现次数2213次，历史最大遗漏22期，当前遗漏3期，欲出几率1.20；
Large:
号码5：出现次数2070次，历史最大遗漏35期，当前遗漏3期，欲出几率1.09；
号码6：出现次数2062次，历史最大遗漏36期，当前遗漏1期，欲出几率0.36；
号码7：出现次数2055次，历史最大遗漏25期，当前遗漏5期，欲出几率1.81；
号码8：出现次数2143次，历史最大遗漏26期，当前遗漏7期，欲出几率2.68；
号码9：出现次数2143次，历史最大遗漏22期，当前遗漏3期，欲出几率1.15；
Check digit8 count unchanged 2143, current omission7. Is 8 last in 26261, yes.
Digit7 last 26263, current5.
High desire digits: small 4 (1.20), large8 (2.68), 7(1.81),9/5 1.09. Converge one bet likely 478 or 479 or 489. Need and high omission top includes sum13 desire4.48. Which combination among high omission digits sums13? Digits candidates: 4 small, 7,8,9 large. 4+?+? =13: 4+? e.g 4+0+9=13,4+1+8=13,4+2+7=13,4+? High desired 4,7,? 4+7+2=13. But 2 current omission low desire. Original template picks "479" with sum20, while top sum data then top was1,25,26,6,9, not necessarily matching. They picked high desire digits small3? Wait original 2026247 small high:3 desire2.95,4 1.60; large high:7 2.17,9 1.15. They chose 479 = small4, large7,9. Not highest small3. Why 479? Maybe also sum? 4+7+9=20; top and values 1,25,26,6,9. no. Could be choose top large 7 and9, and small4 rather than3? Strange.
Current high desire digit omissions:
small:4=1.20 highest; others 0.
large:8=2.68 highest,7=1.81,9=1.15,5=1.09.
Likely single bet =478 (mirroring original picks top small 4 plus top two large 7,8 rather than 7,9). Since original picked top two large by desire:7 and9, with small4. Current top two large desire are8 and7. So 478. This seems likely.
But let's validate current omissions with 500 table updated maybe available. Search exact query maybe row data after Oct9.No need. We can derive.
Need review opening review:
"排列三每日遗漏数据分析推送，第26268期排列三开奖号码回顾：开奖号码为300，和值3，奇偶比1：2，大小比0：3，跨度3。"
Careful user says no special symbols? "不要出现特殊符号" likely okay colon Chinese? Template uses fullwidth colon and semicolon. "不要出现一切括号说明内容" means no parentheses. We should omit any notes? The template itself doesn't include source note in output. Good.
Current period: article says 第2026269期. Previous source format current period with year prefix. User says don't modify format. Use {{当前期号}}=2026269. Good.
Need ensure no extra explanatory text, no AI statements. Output only article.
Need decide and top5 row ordering:
1 current1190
25 current348
2 current183
26 current175
13 current58.
Does original rank by current omission descending, yes.
Let's ensure fields:
和值1：当前遗漏1190期，上次遗漏816期，历史最大遗漏1495期，欲出几率3.46；
和值25：当前遗漏348期，上次遗漏90期，历史最大遗漏1108期，欲出几率2.27；
和值2：当前遗漏183期，上次遗漏924期，历史最大遗漏1268期，欲出几率0.78；
和值26：当前遗漏175期，上次遗漏289期，历史最大遗漏1955期，欲出几率0.53；
和值13：当前遗漏58期，上次遗漏21期，历史最大遗漏86期，欲出几率4.48；
Wait if rank by current omission, 13=58, yes. But 24=47,7=45. Fine.
Potential issue: 500 data updated at Oct9 22:50 after draw. Yes.
Digit omission source table timestamp Oct6, but we manually increment. Could current omission of digit0 row after 26268 =0. Good.
Need maybe occurrence counts exact could increment all draws but base source counts are through 26264. Let's verify 26265-26268 digit appearances:
26265 954: digits 9,5,4.
26266 121: digits1 twice,2 once.
26267 216: digits2,1,6.
26268 300: digits3 once,0 twice.
Totals:
0 +2
1 +3 (26266 twice +26267 once)
2 +2 (26266 +26267)
3 +1
4 +1
5 +1
6 +1
7 +0
8 +0
9 +1.
Base counts from source maybe through 26264 exactly. yes.
Average omission after more draws likely changes, but we don't have updated. Could estimate original template values and use ratio current/base average. Original source rows at 2026247 had counts:
0 2014, current2, desire.71 => avg2.82
1 2061 current1 desire.36=>2.78
2 2053 current0 .06=>0? weird avg maybe? Wait source after more draws average2.76.
3 2078 current8 desire2.95=>2.71
4 2209 current4 desire1.60=>2.50
Large:
5 2065 current1 desire.37=>2.70
6 2057 current0 .08=>not current0? Why desire0.08 despite current0? Maybe average? Current 0 / avg =0, should 0.00. Yet original row says current遗漏0期，欲出几率0.08. Hmm maybe current omission was 0.22? This suggests template values aren't mathematically exact or "本次遗漏" could be 0.22? Let's inspect original:
号码2：出现次数2053次，历史最大遗漏21期，当前遗漏0期，欲出几率0.06；
号码6：当前0，欲出0.08；
号码8：当前0，欲出0.09.
Why nonzero? Perhaps they round display "当前遗漏0" but actual current omission small? Or 欲出几率 isn't strictly current/avg? 500 parameter says本期遗漏/平均遗漏. Could be current omission -? No.
Our source table after 26264:
2 current0, desire0.00
5 current0 desire0.00
9 current0 desire0.00.
Template at 2026247 current0 values 0.06,0.08,0.09 maybe because actual current omission perhaps 0.22? Strange. But no concern.
Should we perhaps use latest 500 group single table search if updated timestamp maybe hidden? Search exact URL query.
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