PatternOS
PatternOS v11.1
Ready
Pattern Discovery • Validation • Fusion AI

Temporal

Ready · 864 draws

Temporal Intelligence Engine

Ο χρόνος αναλύεται σαν επιπλέον διάσταση: μέρες, εβδομάδες, μήνες, gaps, κύκλοι, trends, waves, change points και Skeptic checks. Δεν είναι εγγύηση πρόβλεψης.

Παράγει joker_temporal_intelligence_report.html και joker_temporal_intelligence.xlsx.

calendar_weekday_numbers

calendar_dimensionbucketnumberappearancesdraws_in_bucketrate_per_drawlift_vs_overallsample_warning
weekdaySaturday9360.54.454small sample
weekdayWednesday424100.43.323
weekdaySaturday15260.333300000000000043.13small sample
weekdaySaturday12260.333300000000000042.969small sample
weekdaySaturday28260.333300000000000042.969small sample
weekdayWednesday323100.300000000000000042.88
weekdayWednesday13100.300000000000000042.848
weekdaySaturday37260.333300000000000042.7960000000000003small sample
weekdayWednesday403100.300000000000000042.7279999999999998
weekdaySaturday24260.333300000000000042.717small sample
weekdayWednesday173100.300000000000000042.7
weekdayWednesday432100.22.187
weekdayWednesday252100.22.057
weekdayWednesday232100.21.819
weekdayWednesday302100.21.819
weekdayWednesday72100.21.8
weekdaySaturday39160.166700000000000011.778small sample
weekdayWednesday32100.21.728
weekdayWednesday112100.21.728
weekdaySaturday35160.166700000000000011.674small sample
weekdaySaturday6160.166700000000000011.655small sample
weekdaySaturday2160.166700000000000011.6360000000000001small sample
weekdaySaturday19160.166700000000000011.6179999999999999small sample
weekdaySaturday32160.166700000000000011.6small sample
weekdaySaturday20160.166700000000000011.548small sample
weekdaySaturday18160.166700000000000011.4849999999999999small sample
weekdaySaturday16160.166700000000000011.455small sample
weekdaySaturday31160.166700000000000011.455small sample
weekdaySaturday3160.166700000000000011.44small sample
weekdaySaturday5160.166700000000000011.44small sample
weekdaySaturday34160.166700000000000011.3980000000000001small sample
weekdaySaturday13160.166700000000000011.385small sample
weekdaySaturday42160.166700000000000011.385small sample
weekdaySaturday8160.166700000000000011.371small sample
weekdaySaturday44160.166700000000000011.297small sample
weekdayTuesday4452760.1631.292
weekdayThursday40402850.14041.276
weekdayThursday3412850.14391.2429999999999999
weekdayTuesday44442760.159400000000000011.241
weekdaySunday36442870.153300000000000021.226
weekdayThursday16402850.14041.225
weekdayThursday31402850.14041.225
weekdayThursday22382850.13331.2
weekdayTuesday39312760.112300000000000011.198
weekdayTuesday18372760.13411.194
weekdaySunday25332870.1151.183
weekdaySunday15362870.12541.178
weekdaySunday29462870.16031.174
weekdaySunday37402870.13941.169
weekdayTuesday27372760.13411.158
weekdaySunday21342870.118500000000000011.15
weekdayThursday24402850.14041.1440000000000001
weekdayTuesday2322760.11591.138
weekdayThursday1342850.11931.133
weekdayTuesday41352760.12681.13
weekdayTuesday34372760.13411.125
weekdaySunday35322870.11151.12
weekdayThursday30352850.12281.117
weekdayThursday20342850.11931.108
weekdaySunday45322870.11151.107
weekdaySunday42382870.132400000000000021.1
weekdaySunday7352870.1221.098
weekdaySunday17352870.1221.098
weekdayThursday26342850.11931.097
weekdayTuesday21312760.112300000000000011.09
weekdayTuesday23332760.119600000000000011.087
weekdaySunday28352870.1221.086
weekdayThursday38292850.10181.085
weekdaySunday11362870.12541.084
weekdaySunday10322870.11151.082
weekdayTuesday38282760.10141.082
weekdayThursday13372850.12981.079
weekdayTuesday8362760.130400000000000021.073
weekdaySunday32322870.11151.07
weekdaySunday43282870.09761.067
weekdaySunday26332870.1151.057
weekdayThursday19312850.108800000000000011.056
weekdayTuesday15312760.112300000000000011.055
weekdayTuesday19302760.10871.055
weekdayTuesday30322760.11591.054

calendar_month_numbers

calendar_dimensionbucketnumberappearancesdraws_in_bucketrate_per_drawlift_vs_overallsample_warning
monthNovember3014640.218800000000000021.9889999999999999
monthJanuary715730.205500000000000021.849
monthSeptember1413650.21.819
monthAugust2613660.1971.81
monthJanuary4312730.164400000000000021.798
monthNovember2414640.218800000000000021.783
monthOctober3714660.21211.779
monthOctober3911660.166700000000000011.778
monthJanuary613730.17811.7690000000000001
monthFebruary212690.17391.708
monthFebruary2112690.17391.6880000000000002
monthMarch213760.17111.679
monthMay3315790.18991.674
monthJune2614780.179500000000000021.65
monthSeptember813650.21.646
monthDecember1714770.181800000000000021.6360000000000001
monthFebruary1512690.17391.633
monthJanuary415730.205500000000000021.629
monthSeptember3211650.169200000000000021.625
monthAugust813660.1971.621
monthJune914780.179500000000000021.599
monthJune1814780.179500000000000021.599
monthAugust3112660.181800000000000021.587
monthJune113780.166700000000000011.5819999999999999
monthFebruary1412690.17391.5819999999999999
monthSeptember2914650.21541.577
monthDecember514770.181800000000000021.5710000000000002
monthMarch4512760.15791.568
monthJuly4113740.17571.565
monthSeptember4413650.21.557
monthApril212770.15581.53
monthMarch814760.18421.516
monthOctober3011660.166700000000000011.516
monthApril1912770.15581.513
monthApril2813770.16881.504
monthDecember4113770.16881.504
monthAugust2211660.166700000000000011.5
monthMay2313790.16461.4969999999999999
monthMay3811790.139200000000000021.4849999999999999
monthNovember2711640.17191.4849999999999999
monthSeptember3111650.169200000000000021.477
monthMay1213790.16461.466
monthMay1813790.16461.466
monthJanuary3910730.1371.461
monthJuly211740.14861.459
monthApril2012770.15581.448
monthJuly2111740.14861.443
monthJune313780.166700000000000011.44
monthAugust1111660.166700000000000011.44
monthAugust2711660.166700000000000011.44
monthAugust110660.15151.439
monthDecember3511770.14291.435
monthMay513790.16461.422
monthNovember4010640.15621.421
monthFebruary1211690.159400000000000011.42
monthApril3012770.15581.417
monthNovember359640.14061.413
monthFebruary1010690.14491.407
monthMarch1812760.15791.4060000000000001
monthMarch2111760.14471.405
monthApril1712770.15581.403
monthSeptember2310650.153800000000000021.399
monthNovember459640.14061.397
monthFebruary389690.130400000000000021.391
monthMarch3211760.14471.389
monthSeptember2411650.169200000000000021.379
monthFebruary2711690.159400000000000011.377
monthApril3312770.15581.374
monthDecember3312770.15581.374
monthNovember2912640.18751.373
monthJune2812780.153800000000000021.37
monthJune1911780.141000000000000011.369
monthJune3910780.12821.3679999999999999
monthMarch312760.15791.3639999999999999
monthOctober2210660.15151.3639999999999999
monthNovember411640.17191.362
monthAugust69660.13641.354
monthJuly4011740.14861.3519999999999999
monthMay1911790.139200000000000021.3519999999999999
monthAugust2810660.15151.35

calendar_week_of_year_numbers

calendar_dimensionbucketnumberappearancesdraws_in_bucketrate_per_drawlift_vs_overallsample_warning
week_of_year5343230.66670000000000017.291small sample
week_of_year5345230.66670000000000016.621small sample
week_of_year5314230.66670000000000016.063small sample
week_of_year577170.41183.706
week_of_year1287160.43753.6
week_of_year26267180.38893.574
week_of_year50177180.38893.5
week_of_year41455150.333300000000000043.31
week_of_year536130.333300000000000043.31small sample
week_of_year1426180.333300000000000043.273
week_of_year9266170.35293.2439999999999998
week_of_year16106180.333300000000000043.236
week_of_year5319130.333300000000000043.236small sample
week_of_year5321130.333300000000000043.236small sample
week_of_year1435170.294100000000000033.217
week_of_year396170.35293.144
week_of_year9126170.35293.144
week_of_year46205150.333300000000000043.097
week_of_year5326130.333300000000000043.064small sample
week_of_year38145150.333300000000000043.032
week_of_year47405150.333300000000000043.032
week_of_year5340130.333300000000000043.032small sample
week_of_year3255170.294100000000000033.025
week_of_year537130.333300000000000043.0small sample
week_of_year28416180.333300000000000042.969
week_of_year5318130.333300000000000042.969small sample
week_of_year17336180.333300000000000042.939
week_of_year14316180.333300000000000042.909
week_of_year16166180.333300000000000042.909
week_of_year32315150.333300000000000042.909
week_of_year35165150.333300000000000042.909
week_of_year525170.294100000000000032.888
week_of_year2056180.333300000000000042.88
week_of_year34115150.333300000000000042.88
week_of_year3655150.333300000000000042.88
week_of_year533130.333300000000000042.88small sample
week_of_year5311130.333300000000000042.88small sample
week_of_year30394150.26672.844
week_of_year40394150.26672.844
week_of_year42384150.26672.844
week_of_year15346180.333300000000000042.7960000000000003
week_of_year16376180.333300000000000042.7960000000000003
week_of_year9155170.294100000000000032.762
week_of_year17455180.27782.759
week_of_year22455180.27782.759
week_of_year3985150.333300000000000042.743
week_of_year18195180.27782.697
week_of_year19195180.27782.697
week_of_year30354150.26672.6790000000000003
week_of_year41354150.26672.6790000000000003
week_of_year45354150.26672.6790000000000003
week_of_year7145170.294100000000000032.675
week_of_year8405170.294100000000000032.675
week_of_year20325180.27782.667
week_of_year4394160.252.667
week_of_year32454150.26672.648
week_of_year46454150.26672.648
week_of_year175170.294100000000000032.6470000000000002
week_of_year38445150.333300000000000042.5949999999999998
week_of_year30104150.26672.589
week_of_year35104150.26672.589
week_of_year37214150.26672.589
week_of_year39194150.26672.589
week_of_year47214150.26672.589
week_of_year7434170.23532.573
week_of_year37324150.26672.56
week_of_year39324150.26672.56
week_of_year40324150.26672.56
week_of_year52115170.294100000000000032.541
week_of_year4714150.26672.532
week_of_year15305180.27782.526
week_of_year19235180.27782.526
week_of_year27405180.27782.526
week_of_year29305180.27782.526
week_of_year49354160.252.512
week_of_year7384170.23532.51
week_of_year11384170.23532.51
week_of_year15175180.27782.5
week_of_year18175180.27782.5
week_of_year25225180.27782.5

calendar_quarter_numbers

calendar_dimensionbucketnumberappearancesdraws_in_bucketrate_per_drawlift_vs_overallsample_warning
quarterQ430332070.159400000000000011.45
quarterQ17352180.160600000000000021.445
quarterQ219342340.14531.411
quarterQ38352050.170700000000000021.405
quarterQ12312180.14221.396
quarterQ435282070.13531.359
quarterQ143272180.123900000000000011.355
quarterQ417312070.149800000000000021.348
quarterQ314302050.14631.331
quarterQ239292340.123900000000000011.322
quarterQ16292180.1331.321
quarterQ14362180.16511.309
quarterQ326292050.141500000000000011.3
quarterQ424332070.159400000000000011.299
quarterQ29342340.14531.294
quarterQ228342340.14531.294
quarterQ115302180.13761.292
quarterQ233342340.14531.2810000000000001
quarterQ440292070.14011.274
quarterQ218332340.141000000000000011.256
quarterQ344332050.1611.2530000000000001
quarterQ45302070.14491.252
quarterQ331292050.141500000000000011.235
quarterQ311292050.141500000000000011.222
quarterQ437302070.14491.216
quarterQ114292180.1331.21
quarterQ234332340.141000000000000011.183
quarterQ113312180.14221.181
quarterQ212312340.13251.18
quarterQ327282050.13661.18
quarterQ125252180.114700000000000011.18
quarterQ21292340.123900000000000011.177
quarterQ129352180.160600000000000021.176
quarterQ422272070.130400000000000021.174
quarterQ138242180.11011.174
quarterQ427282070.13531.169
quarterQ444312070.149800000000000021.166
quarterQ442292070.14011.164
quarterQ217302340.12821.154
quarterQ324292050.141500000000000011.153
quarterQ13292180.1331.149
quarterQ316272050.13171.149
quarterQ145252180.114700000000000011.139
quarterQ310242050.117100000000000011.137
quarterQ223292340.123900000000000011.127
quarterQ332242050.117100000000000011.124
quarterQ441262070.125600000000000021.119
quarterQ36232050.112200000000000011.114
quarterQ110252180.114700000000000011.113
quarterQ44292070.14011.11
quarterQ245262340.11111.103
quarterQ226282340.11971.1
quarterQ236322340.13681.094
quarterQ425222070.10631.093
quarterQ321232050.112200000000000011.089
quarterQ43262070.125600000000000021.085
quarterQ25292340.123900000000000011.071
quarterQ121242180.11011.069
quarterQ232262340.11111.067
quarterQ343202050.09761.067
quarterQ433252070.12081.065
quarterQ136292180.1331.064
quarterQ118262180.11931.062
quarterQ37242050.117100000000000011.054
quarterQ436272070.130400000000000021.043
quarterQ341242050.117100000000000011.043
quarterQ320232050.112200000000000011.042
quarterQ134272180.123900000000000011.039
quarterQ222272340.11541.038
quarterQ329292050.141500000000000011.036
quarterQ428242070.11591.033
quarterQ220262340.11111.032
quarterQ421222070.10631.032
quarterQ244312340.13251.031
quarterQ242292340.123900000000000011.03
quarterQ127262180.11931.03
quarterQ112252180.114700000000000011.021
quarterQ323232050.112200000000000011.02
quarterQ18272180.123900000000000011.019
quarterQ31222050.10731.019

calendar_season_numbers

calendar_dimensionbucketnumberappearancesdraws_in_bucketrate_per_drawlift_vs_overallsample_warning
seasonSummer26362180.16511.518
seasonAutumn24351950.179500000000000021.463
seasonSpring45322320.13791.37
seasonAutumn30291950.14871.353
seasonSummer1312180.14221.35
seasonWinter15312190.14161.329
seasonAutumn44331950.169200000000000021.317
seasonWinter43262190.11871.298
seasonSpring19312320.13361.297
seasonWinter14312190.14161.287
seasonSpring12332320.14221.267
seasonWinter41312190.14161.2610000000000001
seasonSpring33332320.14221.254
seasonAutumn31281950.14361.2530000000000001
seasonSpring32302320.12931.241
seasonWinter7302190.1371.233
seasonWinter4342190.15531.231
seasonSummer11312180.14221.229
seasonWinter25262190.11871.221
seasonSpring17312320.13361.203
seasonAutumn27271950.13851.196
seasonSpring18312320.13361.19
seasonSummer9292180.1331.185
seasonSummer28292180.1331.185
seasonSpring2282320.12071.185
seasonAutumn35231950.11791.185
seasonWinter6262190.11871.179
seasonSpring23302320.12931.176
seasonSummer39242180.11011.174
seasonWinter29352190.15981.17
seasonAutumn29311950.1591.164
seasonAutumn37271950.13851.161
seasonSpring34322320.13791.157
seasonSummer22282180.128400000000000011.156
seasonAutumn38211950.10771.149
seasonSummer18282180.128400000000000011.1440000000000001
seasonSummer44322180.14681.143
seasonSummer6252180.114700000000000011.139
seasonWinter13302190.1371.138
seasonSpring16302320.12931.129
seasonSpring37312320.13361.121
seasonWinter40272190.12331.121
seasonAutumn16251950.12821.119
seasonSpring28292320.1251.113
seasonAutumn11251950.12821.108
seasonAutumn7241950.12311.108
seasonWinter3282190.12791.105
seasonSpring39242320.10341.103
seasonAutumn4271950.13851.098
seasonSummer8292180.1331.095
seasonAutumn21221950.112800000000000011.095
seasonSummer2242180.11011.081
seasonSpring42302320.12931.074
seasonAutumn23231950.11791.073
seasonAutumn40231950.11791.073
seasonSummer3272180.123900000000000011.07
seasonSummer27272180.123900000000000011.07
seasonSpring36312320.13361.069
seasonWinter27272190.12331.065
seasonSpring8302320.12931.064
seasonWinter10242190.10961.064
seasonAutumn5241950.12311.063
seasonSummer41262180.11931.062
seasonAutumn22231950.11791.062
seasonAutumn8251950.12821.055
seasonWinter35232190.1051.055
seasonAutumn20221950.112800000000000011.048
seasonSpring10252320.10781.046
seasonSummer40252180.114700000000000011.043
seasonSpring35242320.10341.039
seasonSpring9272320.11641.037
seasonWinter34272190.12331.034
seasonAutumn32211950.10771.034
seasonWinter2232190.1051.031
seasonSummer42272180.123900000000000011.029
seasonWinter17252190.114200000000000011.027
seasonWinter5262190.11871.026
seasonAutumn36251950.12821.026
seasonAutumn14221950.112800000000000011.026
seasonSummer20242180.11011.023

calendar_day_bucket_numbers

calendar_dimensionbucketnumberappearancesdraws_in_bucketrate_per_drawlift_vs_overallsample_warning
day_of_month_bucketmid_month40432860.150300000000000021.367
day_of_month_bucketend_month8482950.16271.339
day_of_month_bucketstart_month31432830.15191.326
day_of_month_bucketmid_month1392860.13641.295
day_of_month_bucketmid_month13442860.153800000000000021.278
day_of_month_bucketstart_month41402830.14131.259
day_of_month_bucketend_month45372950.12541.246
day_of_month_bucketend_month42442950.14921.239
day_of_month_bucketmid_month2362860.12591.236
day_of_month_bucketend_month33412950.1391.225
day_of_month_bucketend_month25352950.118600000000000011.22
day_of_month_bucketmid_month5402860.13991.208
day_of_month_bucketstart_month39322830.11311.206
day_of_month_bucketmid_month17382860.132900000000000021.196
day_of_month_bucketmid_month9382860.132900000000000021.183
day_of_month_bucketmid_month28382860.132900000000000021.183
day_of_month_bucketend_month4442950.14921.182
day_of_month_bucketstart_month26362830.12721.169
day_of_month_bucketstart_month21342830.120100000000000011.166
day_of_month_bucketend_month24422950.14241.16
day_of_month_bucketmid_month16382860.132900000000000021.16
day_of_month_bucketstart_month3382830.13431.16
day_of_month_bucketstart_month43302830.1061.159
day_of_month_bucketend_month35342950.11531.158
day_of_month_bucketend_month39322950.10851.157
day_of_month_bucketstart_month7362830.12721.145
day_of_month_bucketmid_month44422860.14691.143
day_of_month_bucketend_month20362950.1221.134
day_of_month_bucketstart_month18362830.12721.133
day_of_month_bucketstart_month19332830.116600000000000011.1320000000000001
day_of_month_bucketstart_month14352830.12371.125
day_of_month_bucketend_month10342950.11531.119
day_of_month_bucketmid_month11372860.129400000000000021.118
day_of_month_bucketmid_month34382860.132900000000000021.115
day_of_month_bucketstart_month16362830.12721.11
day_of_month_bucketstart_month1332830.116600000000000011.107
day_of_month_bucketstart_month36392830.13781.102
day_of_month_bucketmid_month29432860.150300000000000021.101
day_of_month_bucketstart_month44402830.14131.1
day_of_month_bucketend_month22362950.1221.098
day_of_month_bucketstart_month30342830.120100000000000011.093
day_of_month_bucketstart_month33352830.12371.09
day_of_month_bucketend_month21332950.11191.086
day_of_month_bucketmid_month15332860.11541.084
day_of_month_bucketmid_month38292860.10141.082
day_of_month_bucketend_month37382950.12881.081
day_of_month_bucketstart_month27352830.12371.069
day_of_month_bucketend_month31362950.1221.065
day_of_month_bucketend_month26342950.11531.059
day_of_month_bucketend_month36392950.13221.058
day_of_month_bucketend_month28352950.118600000000000011.057
day_of_month_bucketmid_month27352860.122400000000000011.057
day_of_month_bucketmid_month37362860.12591.056
day_of_month_bucketstart_month38282830.09891.055
day_of_month_bucketmid_month23332860.11541.049
day_of_month_bucketend_month6312950.10511.044
day_of_month_bucketend_month32322950.10851.041
day_of_month_bucketmid_month7332860.11541.038
day_of_month_bucketstart_month35292830.102500000000000011.03
day_of_month_bucketstart_month10302830.1061.029
day_of_month_bucketmid_month41332860.11541.028
day_of_month_bucketend_month12342950.11531.027
day_of_month_bucketend_month11352950.118600000000000011.025
day_of_month_bucketend_month15322950.10851.019
day_of_month_bucketmid_month19302860.104900000000000011.018
day_of_month_bucketend_month23332950.11191.017
day_of_month_bucketmid_month22322860.11191.007
day_of_month_bucketmid_month32302860.104900000000000011.007
day_of_month_bucketmid_month12322860.11190.997
day_of_month_bucketmid_month18322860.11190.997
day_of_month_bucketend_month29402950.13560.993
day_of_month_bucketend_month30322950.10850.987
day_of_month_bucketmid_month14312860.108400000000000010.986
day_of_month_bucketstart_month6282830.09890.983
day_of_month_bucketstart_month5322830.11310.977
day_of_month_bucketstart_month12312830.10950.976
day_of_month_bucketmid_month20302860.104900000000000010.975
day_of_month_bucketmid_month6282860.09790.972
day_of_month_bucketend_month34342950.11530.967
day_of_month_bucketend_month3332950.11190.967

calendar_weekday_jokers

calendar_dimensionbucketjokerappearancesdraws_in_bucketrate_per_drawlift_vs_overallsample_warning
weekdayWednesday52100.24.8
weekdayWednesday132100.24.019
weekdaySaturday19160.166700000000000013.429small sample
weekdaySaturday15160.166700000000000013.13small sample
weekdaySaturday1160.166700000000000012.939small sample
weekdaySaturday3160.166700000000000012.939small sample
weekdaySaturday20160.166700000000000012.939small sample
weekdaySaturday8160.166700000000000012.88small sample
weekdayWednesday121100.12.274
weekdayWednesday161100.12.215
weekdayWednesday151100.11.8780000000000001
weekdayWednesday11100.11.763
weekdayWednesday31100.11.763
weekdayTuesday9202760.072500000000000011.6480000000000001
weekdayWednesday181100.11.5430000000000001
weekdaySunday10212870.07321.437
weekdayThursday13182850.06321.2690000000000001
weekdayTuesday12152760.05431.236
weekdayTuesday2132760.04711.233
weekdaySunday20202870.06971.229
weekdayThursday7242850.084200000000000011.193
weekdayTuesday6142760.05071.184
weekdayThursday4162850.0561000000000000041.183
weekdayThursday11122850.0421000000000000051.174
weekdayThursday16152850.05261.166
weekdayThursday8192850.066700000000000011.152
weekdaySunday8192870.066200000000000011.1440000000000001
weekdayTuesday14172760.06161.1320000000000001
weekdayTuesday5132760.04711.13
weekdaySunday17132870.04531.118
weekdaySunday1182870.06271.106
weekdaySunday2122870.0418000000000000041.095
weekdayThursday19152850.05261.083
weekdaySunday16142870.04881.081
weekdayTuesday4142760.05071.069
weekdaySunday11112870.03831.068
weekdayThursday15162850.0561000000000000041.054
weekdaySunday3172870.05921.044
weekdayThursday18192850.066700000000000011.029
weekdayTuesday7202760.072500000000000011.026
weekdayTuesday1162760.0581.022
weekdayThursday5122850.0421000000000000051.011
weekdayTuesday18182760.065200000000000011.006
weekdaySunday19142870.04881.003
weekdayThursday3162850.0561000000000000040.99
weekdayTuesday17112760.0399000000000000050.984
weekdayThursday6122850.0421000000000000050.983
weekdaySunday18182870.06270.968
weekdayThursday14152850.05260.968
weekdaySunday14152870.05230.961
weekdayTuesday15142760.05070.9530000000000001
weekdayThursday17112850.03860.9530000000000001
weekdaySunday15142870.04880.916
weekdaySunday6112870.03830.895
weekdayTuesday3142760.05070.894
weekdayTuesday20142760.05070.894
weekdayTuesday19122760.0435000000000000040.894
weekdayThursday12112850.03860.878
weekdaySunday12112870.03830.871
weekdayThursday20142850.0491000000000000050.866
weekdayTuesday10122760.0435000000000000040.854
weekdaySunday13122870.0418000000000000040.84
weekdaySunday7172870.05920.839
weekdaySunday4112870.03830.808
weekdayTuesday1182760.0290.808
weekdayThursday1132850.04560.804
weekdayTuesday13112760.0399000000000000050.801
weekdaySunday9102870.0348000000000000050.792
weekdayThursday10112850.03860.758
weekdaySunday592870.0314000000000000040.753
weekdayThursday282850.02810.735
weekdayTuesday1692760.0326000000000000040.722
weekdayTuesday8112760.0399000000000000050.6890000000000001
weekdayThursday982850.02810.638
weekdaySaturday2060.00.0small sample
weekdaySaturday4060.00.0small sample
weekdaySaturday5060.00.0small sample
weekdaySaturday6060.00.0small sample
weekdaySaturday7060.00.0small sample
weekdaySaturday9060.00.0small sample

calendar_month_jokers

calendar_dimensionbucketjokerappearancesdraws_in_bucketrate_per_drawlift_vs_overallsample_warning
monthDecember1910770.129900000000000022.672
monthSeptember159650.13852.601
monthAugust39660.13642.404
monthSeptember176650.092300000000000012.279
monthJuly116740.08112.26
monthNovember189640.14062.17
monthAugust208660.12122.137
monthOctober96660.090900000000000012.067
monthNovember25640.07812.045
monthApril108770.10392.04
monthAugust166660.090900000000000012.014
monthNovember147640.109400000000000012.011
monthJune711780.141000000000000011.9969999999999999
monthDecember176770.07791.924
monthMarch56760.07891.895
monthMarch115760.06581.834
monthOctober87660.10611.833
monthOctober106660.090900000000000011.7850000000000001
monthMarch25760.06581.722
monthAugust114660.06061.689
monthMay157790.08861.6640000000000001
monthApril79770.11691.6560000000000001
monthNovember36640.093800000000000011.653
monthFebruary95690.072500000000000011.6480000000000001
monthFebruary125690.072500000000000011.6480000000000001
monthDecember46770.07791.642
monthMarch175760.06581.624
monthSeptember45650.076900000000000011.621
monthJanuary65730.06851.599
monthOctober24660.06061.587
monthJuly65740.067600000000000011.5779999999999998
monthApril136770.07791.566
monthMay37790.08861.562
monthJune55780.06411.538
monthFebruary16690.087000000000000011.533
monthJuly78740.10811.5310000000000001
monthFebruary45690.072500000000000011.5270000000000001
monthMay136790.075900000000000011.526
monthFebruary24690.0581.518
monthJanuary165730.06851.517
monthDecember65770.06491.516
monthJune65780.06411.4969999999999999
monthMarch78760.10531.491
monthDecember125770.06491.476
monthJune95780.06411.457
monthMarch165760.06581.457
monthOctober54660.06061.455
monthJune156780.076900000000000011.445
monthMay125790.063300000000000011.439
monthJanuary24730.05481.435
monthDecember146770.07791.432
monthJune114780.0513000000000000051.429
monthJuly45740.067600000000000011.424
monthFebruary105690.072500000000000011.423
monthMay146790.075900000000000011.396
monthAugust145660.07581.393
monthJanuary135730.06851.376
monthDecember16770.07791.374
monthJuly135740.067600000000000011.358
monthNovember85640.07811.35
monthApril86770.07791.346
monthMay16790.075900000000000011.339
monthAugust15660.07581.336
monthMay195790.063300000000000011.302
monthSeptember113650.0462000000000000051.286
monthFebruary164690.0581.284
monthFebruary205690.072500000000000011.278
monthJanuary186730.082200000000000011.268
monthFebruary85690.072500000000000011.252
monthMay174790.05061.25
monthDecember54770.05191.2469999999999999
monthJanuary94730.05481.246
monthJanuary15730.06851.208
monthSeptember104650.0615000000000000061.208
monthMarch124760.05261.197
monthFebruary194690.0581.193
monthAugust104660.06061.19
monthJune186780.076900000000000011.187
monthJanuary85730.06851.184
monthMay64790.05061.182

gap_timeline_engine

numberappearancescurrent_gap_drawsmean_gapmedian_gapmin_gapmax_gapstd_gappressure_percentilegap_acceleration_last3_vs_prev3last_gap_sequencesample_warning
2093349.07.01377.4998.91-1.334, 6, 1, 24, 8, 16, 9, 4
2395248.878.01437.7194.68-3.6740, 10, 10, 2, 14, 8, 5, 2
29118207.25.01336.5792.319.333, 5, 9, 1, 5, 6, 10, 27
39812310.497.017212.8488.755.6714, 5, 1, 9, 7, 5, 2, 27
3586199.857.015810.1988.24-2.3315, 9, 9, 13, 8, 10, 11, 2
44111147.685.01398.4287.27-4.674, 1, 1, 7, 10, 1, 1, 2
2897168.796.01418.6785.420.6715, 1, 3, 3, 9, 4, 5, 8
13104148.156.01377.0483.50.672, 6, 2, 8, 17, 9, 11, 9
4109117.845.01376.9781.480.01, 3, 11, 9, 4, 6, 7, 11
687159.866.01439.2980.23-7.333, 5, 3, 21, 3, 1, 1, 3
34103128.326.01427.2676.472.3320, 18, 3, 10, 6, 3, 14, 9
997138.86.01337.576.04-6.332, 5, 24, 9, 3, 14, 1, 2
1297118.816.01457.8873.963.05, 12, 2, 6, 1, 1, 13, 4
36108107.966.01427.5572.99.676, 10, 1, 12, 2, 27, 5, 12
3199108.646.01398.1772.457.05, 31, 8, 14, 6, 13, 23, 13
3398128.757.01387.2472.16-7.677, 6, 19, 9, 5, 3, 1, 6
810588.165.51508.1365.381.05, 3, 1, 14, 4, 5, 8, 9
229698.956.01418.1763.16-7.3310, 3, 23, 21, 3, 9, 5, 11
1110078.645.01779.859.614.671, 8, 4, 13, 4, 23, 27, 15
189768.96.51357.6450.0-1.02, 3, 4, 2, 1, 1, 2, 1
4210468.237.01347.049.51-3.331, 7, 4, 12, 8, 9, 1, 4
329069.467.01478.9548.31-0.3317, 15, 4, 14, 2, 9, 3, 7
409559.136.01458.7444.682.05, 10, 3, 6, 7, 17, 2, 3
2710048.595.01519.0444.44-11.336, 11, 7, 27, 14, 3, 3, 8
269449.196.015910.0740.86-1.02, 7, 3, 5, 17, 5, 12, 5
4379511.07.016011.6535.915.014, 10, 8, 7, 1, 4, 6, 51
218939.56.01459.130.68-6.08, 6, 2, 21, 3, 5, 2, 1
310038.697.01387.0929.29-3.678, 13, 5, 17, 5, 12, 2, 2
19139.436.51398.3827.784.674, 13, 22, 2, 13, 37, 10, 4
2410628.176.01367.7227.62-3.6714, 5, 12, 7, 8, 2, 7, 7
169928.67.01448.7223.47-9.01, 2, 44, 10, 11, 12, 22, 4
3710328.337.01356.9322.551.6710, 11, 26, 7, 1, 2, 35, 2
108929.628.01529.1521.5917.339, 3, 8, 3, 2, 52, 2, 11
159239.297.01447.6620.881.675, 8, 12, 5, 6, 22, 1, 5
28829.767.01439.6719.542.01, 7, 8, 5, 2, 9, 9, 3
510018.495.01458.5215.15-13.6710, 27, 45, 21, 3, 2, 2, 24
198919.77.01348.3713.64-6.013, 7, 25, 23, 2, 7, 14, 11
309519.177.01347.3811.7-3.675, 3, 1, 25, 10, 18, 1, 6
179618.936.01388.048.423.331, 3, 9, 4, 27, 8, 4, 38
149519.146.51438.455.3225.3330, 6, 3, 2, 2, 30, 23, 30
79609.056.01539.050.03.08, 12, 5, 11, 8, 19, 11, 3
2584010.337.01499.650.0-9.676, 3, 49, 11, 9, 8, 8, 24
3881010.347.015711.260.03.3310, 14, 1, 3, 7, 4, 9, 8
419708.956.01568.790.01.01, 9, 2, 6, 1, 7, 1, 4
4587010.016.014510.220.00.335, 17, 2, 31, 5, 1, 2, 36

cycle_engine_2

numbergap_sequence_last_12mean_cyclecycle_cvcycle_strengthcurrent_gapcycle_match_nowinterpretation
2220, 1, 14, 2, 10, 3, 23, 21, 3, 9, 5, 118.950.9138.68999.41weak/irregular cycle
81, 18, 12, 11, 5, 3, 1, 14, 4, 5, 8, 98.160.9960.38898.0weak/irregular cycle
311, 5, 16, 3, 5, 31, 8, 14, 6, 13, 23, 138.640.94600000000000015.451084.3weak/irregular cycle
1113, 7, 10, 1, 1, 8, 4, 13, 4, 23, 27, 158.641.1350.0781.05weak/irregular cycle
1211, 12, 2, 6, 5, 12, 2, 6, 1, 1, 13, 48.810.89410.551175.18weak/irregular cycle
361, 2, 9, 5, 6, 10, 1, 12, 2, 27, 5, 127.960.94800000000000015.211074.41weak/irregular cycle
428, 9, 23, 3, 1, 7, 4, 12, 8, 9, 1, 48.230.85114.93672.88weak/irregular cycle
184, 11, 5, 2, 2, 3, 4, 2, 1, 1, 2, 18.90.85914.08667.45weak/irregular cycle
325, 2, 13, 35, 17, 15, 4, 14, 2, 9, 3, 79.460.94600000000000015.38663.42weak/irregular cycle
335, 5, 9, 8, 7, 6, 19, 9, 5, 3, 1, 68.750.827000000000000117.291262.9weak/irregular cycle
412, 2, 17, 3, 1, 3, 11, 9, 4, 6, 7, 117.840.88911.111159.74weak/irregular cycle
347, 24, 24, 12, 20, 18, 3, 10, 6, 3, 14, 98.320.87212.821255.83weak/irregular cycle
407, 4, 25, 6, 5, 10, 3, 6, 7, 17, 2, 39.130.95700000000000014.3554.78weak/irregular cycle
98, 3, 8, 24, 2, 5, 24, 9, 3, 14, 1, 28.80.85214.851352.31weak/irregular cycle
61, 5, 9, 15, 3, 5, 3, 21, 3, 1, 1, 39.860.94200000000000015.81547.88weak/irregular cycle
277, 2, 6, 1, 6, 11, 7, 27, 14, 3, 3, 88.591.0520.0446.59weak/irregular cycle
431, 3, 15, 28, 14, 10, 8, 7, 1, 4, 6, 5111.01.0590.0545.45weak/irregular cycle
2643, 20, 1, 1, 2, 7, 3, 5, 17, 5, 12, 59.191.0950.0443.51weak/irregular cycle
33, 3, 9, 6, 8, 13, 5, 17, 5, 12, 2, 28.690.817000000000000118.34334.53weak/irregular cycle
155, 2, 6, 9, 5, 8, 12, 5, 6, 22, 1, 59.290.825000000000000117.55332.31weak/irregular cycle
14, 8, 15, 10, 4, 13, 22, 2, 13, 37, 10, 49.430.88811.15331.8weak/irregular cycle
215, 8, 2, 5, 8, 6, 2, 21, 3, 5, 2, 19.50.95800000000000014.17331.58weak/irregular cycle
135, 5, 18, 2, 2, 6, 2, 8, 17, 9, 11, 98.150.86413.571428.13weak/irregular cycle
242, 24, 9, 1, 14, 5, 12, 7, 8, 2, 7, 78.170.94500000000000015.49224.48weak/irregular cycle
3712, 12, 8, 7, 10, 11, 26, 7, 1, 2, 35, 28.330.831000000000000116.87224.0weak/irregular cycle
161, 8, 1, 14, 1, 2, 44, 10, 11, 12, 22, 48.61.0130.0223.25weak/irregular cycle
1018, 7, 14, 8, 9, 3, 8, 3, 2, 52, 2, 119.620.95100000000000014.9220.78weak/irregular cycle
26, 6, 6, 1, 1, 7, 8, 5, 2, 9, 9, 39.760.990.9500000000000001220.49weak/irregular cycle
287, 1, 2, 14, 15, 1, 3, 3, 9, 4, 5, 88.790.9861.41618.01weak/irregular cycle
4410, 28, 14, 5, 4, 1, 1, 7, 10, 1, 1, 27.681.0960.01417.75weak/irregular cycle
519, 2, 6, 1, 10, 27, 45, 21, 3, 2, 2, 248.491.0040.0111.77weak/irregular cycle
174, 2, 11, 5, 1, 3, 9, 4, 27, 8, 4, 388.930.99.98111.2weak/irregular cycle
147, 2, 5, 2, 30, 6, 3, 2, 2, 30, 23, 309.140.9247.58110.94weak/irregular cycle
3012, 5, 11, 18, 5, 3, 1, 25, 10, 18, 1, 69.170.80419.57110.9weak/irregular cycle
191, 13, 14, 24, 13, 7, 25, 23, 2, 7, 14, 119.70.86213.76110.3weak/irregular cycle
351, 12, 5, 6, 15, 9, 9, 13, 8, 10, 11, 29.851.0350.0197.05weak/irregular cycle
206, 14, 2, 28, 4, 6, 1, 24, 8, 16, 9, 49.00.83316.74340.0weak/irregular cycle
2331, 3, 6, 6, 40, 10, 10, 2, 14, 8, 5, 28.870.86913.13240.0weak/irregular cycle
2917, 9, 5, 6, 3, 5, 9, 1, 5, 6, 10, 277.20.9138.67200.0weak/irregular cycle
259, 18, 15, 20, 6, 3, 49, 11, 9, 8, 8, 2410.330.9346.5700.0weak/irregular cycle
4123, 2, 8, 6, 1, 9, 2, 6, 1, 7, 1, 48.950.9831.7300.0weak/irregular cycle
734, 5, 2, 2, 8, 12, 5, 11, 8, 19, 11, 39.051.00.000.0weak/irregular cycle
382, 1, 3, 14, 10, 14, 1, 3, 7, 4, 9, 810.341.0890.000.0weak/irregular cycle
3928, 12, 5, 14, 14, 5, 1, 9, 7, 5, 2, 2710.491.2240.0230.0weak/irregular cycle
458, 2, 7, 6, 5, 17, 2, 31, 5, 1, 2, 3610.011.0210.000.0weak/irregular cycle

trend_engine

numberearly_rate_per_drawrecent_rate_per_drawdelta_recent_minus_earlytrend_slope_segmentstrend
210.085600000000000010.13530.0498000000000000040.015300000000000001up
440.112300000000000010.15840.04610.0218up
20.08730.12870.04140.0176up
260.09450.13530.04080.0up
180.09980.13530.0355000000000000040.0134flat
380.08380.112200000000000010.02840.0088flat
70.101600000000000010.12870.0271000000000000030.0102flat
60.09270.11550.02280.0097flat
220.10340.12540.0220.012flat
150.09980.11880.0190.0083flat
430.085600000000000010.10230.01670.0032flat
120.1070.12210.01520.006900000000000001flat
280.1070.12210.01520.0106flat
160.11050.12210.0116000000000000010.006900000000000001flat
400.1070.11550.00860.004200000000000001flat
170.10870.11550.0068000000000000005-0.013000000000000001flat
350.0980.10230.0043-0.012flat
240.12120.12540.0042000000000000010.009300000000000001flat
40.124800000000000010.12870.0039000000000000003-0.0051flat
420.11940.12210.00270.0009000000000000001flat
450.09980.10230.0025-0.0097flat
370.11940.1188-0.0006000000000000001-0.004200000000000001flat
130.12120.1188-0.00240000000000000020.0056flat
90.114100000000000010.10890000000000001-0.005200000000000001-0.0014flat
410.114100000000000010.10890000000000001-0.0052000000000000010.0005flat
300.112300000000000010.1056-0.0067-0.0023flat
10.10870.099-0.0097-0.0023flat
30.11940.10890000000000001-0.01050.0046flat
100.1070.09570000000000001-0.0112-0.0005flat
190.1070.09570000000000001-0.0112-0.0032flat
330.117600000000000010.1056-0.012-0.0009000000000000001flat
390.0980.0858-0.01220.006900000000000001flat
270.12120.1056-0.015600000000000001-0.006500000000000001flat
320.11050.09240000000000001-0.0181-0.006500000000000001flat
80.12830.10890000000000001-0.01940.0014flat
340.126600000000000020.1056-0.020900000000000002-0.0097flat
230.117600000000000010.09570000000000001-0.0219-0.0171flat
250.10520.0825-0.0227-0.0083flat
310.1230.099-0.024-0.014400000000000001flat
360.13370.10890000000000001-0.024800000000000003-0.0046flat
110.124800000000000010.099-0.0258-0.013000000000000001flat
200.117600000000000010.0891-0.0285-0.0097flat
50.126600000000000020.09570000000000001-0.0309-0.0019flat
290.14970.11220000000000001-0.0375-0.0148flat
140.126600000000000020.0792-0.047400000000000005-0.0171down

wave_engine

zonesegment_rateswave_slopedirectioninterpretation
1-100.97, 1.15, 1.13, 1.21, 1.06, 1.160.0206stable/flat
41-450.54, 0.58, 0.47, 0.54, 0.65, 0.540.007500000000000001stable/flat
11-201.14, 1.08, 1.19, 1.06, 1.08, 1.13-0.0044stable/flat
21-301.22, 1.10, 1.05, 1.13, 1.15, 1.12-0.0067stable/flat
31-401.13, 1.09, 1.16, 1.06, 1.06, 1.05-0.0171stable/flat

change_point_engine

split_draw_idsplit_datebefore_drawsafter_drawszone_distribution_shiftchi2_p_valuestatus
27632024-06-065323320.06540.266165normal variation
27702024-06-235393250.06110.361879normal variation
29072025-05-086761880.0580.476759normal variation
23282021-08-242446200.0564000000000000060.401893normal variation
22562021-03-091726920.05570.46491699999999997normal variation
27572024-05-235263380.05570.36983299999999997normal variation
27762024-07-075453190.05510.35678099999999996normal variation
22622021-03-231786860.05480.501713normal variation
28552025-01-076242400.05260.428647normal variation
29142025-05-256831810.05260.563076normal variation
23212021-08-082376270.05120.5016849999999999normal variation
28752025-02-236442200.04970.542837normal variation
29212025-06-106901740.04970.61629normal variation
29012025-04-246701940.0496000000000000050.6222219999999999normal variation
23082021-07-082246400.0490.639069normal variation
27172024-02-204863780.04890.564164normal variation
27832024-07-235523120.04870.516721normal variation
28422024-12-086112530.0484000000000000060.501066normal variation
24782022-08-113944700.04820.46870799999999996normal variation
24922022-09-134084560.04820.470991normal variation

discovery_mode_with_skeptic

hypothesisengineevidencesample_sizeskeptic_statusskeptic_reason
number 20 is in a historically high current gap windowGap Timeline Engine98.9193Candidate Patternsurvived initial skeptic checks
number 23 is in a historically high current gap windowGap Timeline Engine94.6895Candidate Patternsurvived initial skeptic checks
number 29 is in a historically high current gap windowGap Timeline Engine92.31118Candidate Patternsurvived initial skeptic checks
number 39 is in a historically high current gap windowGap Timeline Engine88.7581Candidate Patternsurvived initial skeptic checks
number 35 is in a historically high current gap windowGap Timeline Engine88.2486Candidate Patternsurvived initial skeptic checks
number 44 is in a historically high current gap windowGap Timeline Engine87.27111Candidate Patternsurvived initial skeptic checks
number 28 is in a historically high current gap windowGap Timeline Engine85.4297Candidate Patternsurvived initial skeptic checks
number 13 is in a historically high current gap windowGap Timeline Engine83.5104Candidate Patternsurvived initial skeptic checks
number 4 is in a historically high current gap windowGap Timeline Engine81.48109Candidate Patternsurvived initial skeptic checks
number 6 is in a historically high current gap windowGap Timeline Engine80.2387Candidate Patternsurvived initial skeptic checks
joker 19 appears more often in month=DecemberCalendar Engine2.67277Candidate Patternsurvived initial skeptic checks
joker 15 appears more often in month=SeptemberCalendar Engine2.60165Candidate Patternsurvived initial skeptic checks
joker 3 appears more often in month=AugustCalendar Engine2.40466Candidate Patternsurvived initial skeptic checks
joker 17 appears more often in month=SeptemberCalendar Engine2.27965Candidate Patternsurvived initial skeptic checks
joker 11 appears more often in month=JulyCalendar Engine2.2674Candidate Patternsurvived initial skeptic checks
joker 18 appears more often in month=NovemberCalendar Engine2.1764Candidate Patternsurvived initial skeptic checks
joker 20 appears more often in month=AugustCalendar Engine2.13766Candidate Patternsurvived initial skeptic checks
joker 9 appears more often in month=OctoberCalendar Engine2.06766Candidate Patternsurvived initial skeptic checks
joker 2 appears more often in month=NovemberCalendar Engine2.04564Candidate Patternsurvived initial skeptic checks
joker 10 appears more often in month=AprilCalendar Engine2.0477Candidate Patternsurvived initial skeptic checks
joker 16 appears more often in month=AugustCalendar Engine2.01466Candidate Patternsurvived initial skeptic checks
joker 14 appears more often in month=NovemberCalendar Engine2.01164Candidate Patternsurvived initial skeptic checks
joker 7 appears more often in month=JuneCalendar Engine1.996999999999999978Candidate Patternsurvived initial skeptic checks
number 30 appears more often in month=NovemberCalendar Engine1.988999999999999964Candidate Patternsurvived initial skeptic checks
joker 17 appears more often in month=DecemberCalendar Engine1.92477Candidate Patternsurvived initial skeptic checks
joker 5 appears more often in month=MarchCalendar Engine1.89576Candidate Patternsurvived initial skeptic checks
number 7 appears more often in month=JanuaryCalendar Engine1.84973Candidate Patternsurvived initial skeptic checks
joker 11 appears more often in month=MarchCalendar Engine1.83476Candidate Patternsurvived initial skeptic checks
joker 8 appears more often in month=OctoberCalendar Engine1.83366Candidate Patternsurvived initial skeptic checks
number 14 appears more often in month=SeptemberCalendar Engine1.81965Candidate Patternsurvived initial skeptic checks
number 26 appears more often in month=AugustCalendar Engine1.8166Candidate Patternsurvived initial skeptic checks
number 43 appears more often in week_of_year=53Calendar Engine7.2913Rejected / Needs more datasmall sample
number 45 appears more often in week_of_year=53Calendar Engine6.6213Rejected / Needs more datasmall sample
number 14 appears more often in week_of_year=53Calendar Engine6.0633Rejected / Needs more datasmall sample
joker 5 appears more often in weekday=WednesdayCalendar Engine4.810Rejected / Needs more datasmall sample
number 9 appears more often in weekday=SaturdayCalendar Engine4.4546Rejected / Needs more datasmall sample
joker 13 appears more often in weekday=WednesdayCalendar Engine4.01910Rejected / Needs more datasmall sample
number 7 appears more often in week_of_year=5Calendar Engine3.70617Rejected / Needs more datasmall sample
number 8 appears more often in week_of_year=12Calendar Engine3.616Rejected / Needs more datasmall sample
number 26 appears more often in week_of_year=26Calendar Engine3.57418Rejected / Needs more datasmall sample
number 17 appears more often in week_of_year=50Calendar Engine3.518Rejected / Needs more datasmall sample
number 42 appears more often in weekday=WednesdayCalendar Engine3.32310Rejected / Needs more datasmall sample
number 45 appears more often in week_of_year=41Calendar Engine3.3115Rejected / Needs more datasmall sample
number 2 appears more often in week_of_year=14Calendar Engine3.27318Rejected / Needs more datasmall sample
number 26 appears more often in week_of_year=9Calendar Engine3.243999999999999817Rejected / Needs more datasmall sample
number 10 appears more often in week_of_year=16Calendar Engine3.23618Rejected / Needs more datasmall sample
number 43 appears more often in week_of_year=1Calendar Engine3.21717Rejected / Needs more datasmall sample
number 9 appears more often in week_of_year=3Calendar Engine3.14417Rejected / Needs more datasmall sample
number 12 appears more often in week_of_year=9Calendar Engine3.14417Rejected / Needs more datasmall sample
number 15 appears more often in weekday=SaturdayCalendar Engine3.136Rejected / Needs more datasmall sample
number 20 appears more often in week_of_year=46Calendar Engine3.09715Rejected / Needs more datasmall sample
number 14 appears more often in week_of_year=38Calendar Engine3.03215Rejected / Needs more datasmall sample
number 12 appears more often in weekday=SaturdayCalendar Engine2.9696Rejected / Needs more datasmall sample
number 28 appears more often in weekday=SaturdayCalendar Engine2.9696Rejected / Needs more datasmall sample
number 32 appears more often in weekday=WednesdayCalendar Engine2.8810Rejected / Needs more datasmall sample
number 1 appears more often in weekday=WednesdayCalendar Engine2.84810Rejected / Needs more datasmall sample
number 37 appears more often in weekday=SaturdayCalendar Engine2.79600000000000036Rejected / Needs more datasmall sample
number 40 appears more often in weekday=WednesdayCalendar Engine2.727999999999999810Rejected / Needs more datasmall sample
number 24 appears more often in weekday=SaturdayCalendar Engine2.7176Rejected / Needs more datasmall sample
number 17 appears more often in weekday=WednesdayCalendar Engine2.710Rejected / Needs more datasmall sample
number 43 appears more often in weekday=WednesdayCalendar Engine2.18710Rejected / Needs more datasmall sample
number 25 appears more often in weekday=WednesdayCalendar Engine2.05710Rejected / Needs more datasmall sample
number 23 appears more often in weekday=WednesdayCalendar Engine1.81910Rejected / Needs more datasmall sample
number 30 appears more often in weekday=WednesdayCalendar Engine1.81910Rejected / Needs more datasmall sample
number 7 appears more often in weekday=WednesdayCalendar Engine1.810Rejected / Needs more datasmall sample