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

Temporal

Ready · 888 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
weekdayFriday38111.010.699small sample
weekdayFriday2111.09.548small sample
weekdayFriday32111.09.548small sample
weekdayFriday41111.08.97small sample
weekdayFriday34111.08.222small sample
weekdaySaturday9360.54.44small sample
weekdayWednesday424100.43.32
weekdaySaturday15260.333300000000000043.116small sample
weekdaySaturday12260.333300000000000043.02small sample
weekdaySaturday28260.333300000000000042.931small sample
weekdayWednesday13100.300000000000000042.896
weekdayWednesday323100.300000000000000042.865
weekdaySaturday37260.333300000000000042.766small sample
weekdayWednesday173100.300000000000000042.746
weekdayWednesday403100.300000000000000042.718
weekdaySaturday24260.333300000000000042.716small sample
weekdayWednesday432100.22.248
weekdayWednesday252100.22.089
weekdayWednesday232100.21.831
weekdayWednesday72100.21.794
weekdayWednesday302100.21.776
weekdaySaturday39160.166700000000000011.762small sample
weekdayWednesday32100.21.724
weekdayWednesday112100.21.691
weekdaySaturday6160.166700000000000011.663small sample
weekdaySaturday19160.166700000000000011.6440000000000001small sample
weekdaySaturday35160.166700000000000011.6440000000000001small sample
weekdaySaturday2160.166700000000000011.591small sample
weekdaySaturday32160.166700000000000011.591small sample
weekdaySaturday20160.166700000000000011.558small sample
weekdaySaturday18160.166700000000000011.51small sample
weekdaySaturday5160.166700000000000011.465small sample
weekdaySaturday3160.166700000000000011.437small sample
weekdaySaturday16160.166700000000000011.437small sample
weekdaySaturday31160.166700000000000011.437small sample
weekdaySaturday8160.166700000000000011.4100000000000001small sample
weekdaySaturday13160.166700000000000011.4100000000000001small sample
weekdaySaturday42160.166700000000000011.383small sample
weekdaySaturday34160.166700000000000011.37small sample
weekdaySaturday44160.166700000000000011.276small sample
weekdayTuesday4462840.1621.2730000000000001
weekdayThursday40412920.14041.272
weekdayThursday3432920.147300000000000011.27
weekdayThursday16432920.147300000000000011.27
weekdayTuesday44462840.1621.24
weekdaySunday36442950.14921.215
weekdayTuesday18382840.13381.212
weekdayThursday31412920.14041.211
weekdayThursday22392920.13361.174
weekdaySunday25332950.11191.169
weekdaySunday29462950.15591.164
weekdayThursday1352920.11991.157
weekdayTuesday39312840.10921.154
weekdaySunday37412950.1391.153
weekdayTuesday27372840.13031.145
weekdaySunday21352950.118600000000000011.145
weekdaySunday15362950.1221.141
weekdaySunday35342950.11531.137
weekdayTuesday34392840.13731.129
weekdaySunday11392950.13221.118
weekdayThursday24402920.1371.116
weekdaySunday45332950.11191.116
weekdayTuesday41352840.12321.105
weekdayThursday13382920.13011.101
weekdaySunday10342950.11531.1
weekdaySunday42392950.13221.097
weekdayThursday26352920.11991.097
weekdaySunday7362950.1221.095
weekdayTuesday38292840.102100000000000011.092
weekdayThursday20342920.11641.088
weekdayTuesday21322840.112700000000000011.088
weekdaySunday17352950.118600000000000011.086
weekdayTuesday19312840.10921.077
weekdayTuesday2322840.112700000000000011.076
weekdaySunday28362950.1221.073
weekdayTuesday8362840.12681.072
weekdaySunday32332950.11191.068
weekdaySunday43282950.09491.067
weekdayThursday30352920.11991.064
weekdayTuesday23332840.116200000000000011.064

calendar_month_numbers

calendar_dimensionbucketnumberappearancesdraws_in_bucketrate_per_drawlift_vs_overallsample_warning
monthNovember3014640.218800000000000021.9420000000000002
monthJanuary4312730.164400000000000021.8479999999999999
monthJanuary715730.205500000000000021.843
monthNovember2414640.218800000000000021.782
monthJanuary613730.17811.7770000000000001
monthOctober3911660.166700000000000011.762
monthOctober3714660.21211.76
monthFebruary2112690.17391.679
monthMay3315790.18991.669
monthDecember1714770.181800000000000021.6640000000000001
monthFebruary212690.17391.661
monthSeptember1413710.18311.659
monthJune2614780.179500000000000021.643
monthAugust3115790.18991.637
monthMarch213760.17111.633
monthJune1814780.179500000000000021.626
monthFebruary1512690.17391.626
monthAugust2614790.17721.6219999999999999
monthJanuary415730.205500000000000021.615
monthJune113780.166700000000000011.609
monthDecember514770.181800000000000021.599
monthJune914780.179500000000000021.5939999999999999
monthJuly4114790.17721.5899999999999999
monthFebruary1412690.17391.576
monthMarch4512760.15791.5750000000000002
monthJuly213790.16461.5710000000000002
monthMarch814760.18421.558
monthSeptember813710.18311.548
monthApril1912770.15581.538
monthDecember4113770.16881.514
monthNovember2711640.17191.5110000000000001
monthSeptember4414710.197200000000000011.509
monthMay2313790.16461.506
monthAugust1114790.17721.499
monthMay1213790.16461.491
monthMay1813790.16461.491
monthMay3811790.139200000000000021.49
monthApril212770.15581.488
monthApril2813770.16881.484
monthOctober3011660.166700000000000011.48
monthSeptember3211710.15491.479
monthSeptember2914710.197200000000000011.471
monthJuly2112790.15191.466
monthApril2012770.15581.457
monthJuly4415790.18991.454
monthJanuary3910730.1371.448
monthAugust2213790.16461.447
monthMay513790.16461.447
monthFebruary1211690.159400000000000011.445
monthJune313780.166700000000000011.437
monthMarch1812760.15791.431
monthApril1712770.15581.427
monthSeptember2311710.15491.418
monthNovember4010640.15621.416
monthDecember3511770.14291.4100000000000001
monthNovember459640.14061.403
monthFebruary2711690.159400000000000011.4020000000000001
monthNovember2912640.18751.399
monthMarch2111760.14471.397
monthFebruary389690.130400000000000021.395
monthAugust813790.16461.392
monthJune1911780.141000000000000011.391
monthAugust611790.139200000000000021.389
monthNovember359640.14061.387
monthApril3012770.15581.384
monthFebruary1010690.14491.384
monthMarch3211760.14471.3820000000000001
monthSeptember2412710.1691.377
monthMay1911790.139200000000000021.374
monthApril3312770.15581.37
monthDecember3312770.15581.37
monthMarch312760.15791.361
monthDecember2510770.129900000000000021.357
monthJune3910780.12821.355
monthJune2812780.153800000000000021.353
monthJanuary4111730.15071.3519999999999999
monthNovember411640.17191.351
monthJuly3012790.15191.349
monthSeptember1010710.14081.345
monthAugust111790.139200000000000021.344

calendar_week_of_year_numbers

calendar_dimensionbucketnumberappearancesdraws_in_bucketrate_per_drawlift_vs_overallsample_warning
week_of_year5343230.66670000000000017.494small sample
week_of_year5345230.66670000000000016.652small sample
week_of_year5314230.66670000000000016.041small sample
week_of_year1287160.43753.7
week_of_year577170.41183.693
week_of_year26267180.38893.56
week_of_year50177180.38893.56
week_of_year41455150.333300000000000043.326
week_of_year536130.333300000000000043.326small sample
week_of_year1435170.294100000000000033.306
week_of_year34117180.38893.289
week_of_year5319130.333300000000000043.289small sample
week_of_year9266170.35293.231
week_of_year5321130.333300000000000043.217small sample
week_of_year9126170.35293.198
week_of_year1426180.333300000000000043.183
week_of_year16106180.333300000000000043.183
week_of_year35106180.333300000000000043.183
week_of_year396170.35293.134
week_of_year46205150.333300000000000043.116
week_of_year3255170.294100000000000033.073
week_of_year5326130.333300000000000043.052small sample
week_of_year38145150.333300000000000043.02
week_of_year47405150.333300000000000043.02
week_of_year5318130.333300000000000043.02small sample
week_of_year5340130.333300000000000043.02small sample
week_of_year28416180.333300000000000042.99
week_of_year537130.333300000000000042.99small sample
week_of_year30395180.27782.9370000000000003
week_of_year17336180.333300000000000042.931
week_of_year2056180.333300000000000042.931
week_of_year14316180.333300000000000042.874
week_of_year16166180.333300000000000042.874
week_of_year31316180.333300000000000042.874
week_of_year32316180.333300000000000042.874
week_of_year533130.333300000000000042.874small sample
week_of_year42384150.26672.8529999999999998
week_of_year3985150.333300000000000042.819
week_of_year40394150.26672.819
week_of_year5311130.333300000000000042.819small sample
week_of_year525170.294100000000000032.808
week_of_year17455180.27782.7720000000000002
week_of_year22455180.27782.7720000000000002
week_of_year16376180.333300000000000042.766
week_of_year33426180.333300000000000042.766
week_of_year9155170.294100000000000032.749
week_of_year15346180.333300000000000042.741
week_of_year18195180.27782.741
week_of_year19195180.27782.741
week_of_year30355180.27782.741
week_of_year7145170.294100000000000032.665
week_of_year8405170.294100000000000032.665
week_of_year46454150.26672.661
week_of_year20325180.27782.652
week_of_year7434170.23532.645
week_of_year4394160.252.643
week_of_year175170.294100000000000032.638
week_of_year39194150.26672.6310000000000002
week_of_year41354150.26672.6310000000000002
week_of_year45354150.26672.6310000000000002
week_of_year4714150.26672.574
week_of_year47214150.26672.574
week_of_year38445150.333300000000000042.552
week_of_year39324150.26672.5460000000000003
week_of_year40324150.26672.5460000000000003
week_of_year15175180.27782.543
week_of_year18175180.27782.543
week_of_year19235180.27782.543
week_of_year35265180.27782.543
week_of_year20125180.27782.517
week_of_year27405180.27782.517
week_of_year7384170.23532.517
week_of_year11384170.23532.517
week_of_year43204150.26672.493
week_of_year3135170.294100000000000032.487
week_of_year7135170.294100000000000032.487
week_of_year48295150.333300000000000042.487
week_of_year52115170.294100000000000032.487
week_of_year15305180.27782.467
week_of_year2395180.27782.467

calendar_quarter_numbers

calendar_dimensionbucketnumberappearancesdraws_in_bucketrate_per_drawlift_vs_overallsample_warning
quarterQ17352180.160600000000000021.44
quarterQ219342340.14531.434
quarterQ430332070.159400000000000011.416
quarterQ143272180.123900000000000011.392
quarterQ417312070.149800000000000021.371
quarterQ12312180.14221.358
quarterQ435282070.13531.335
quarterQ16292180.1331.327
quarterQ239292340.123900000000000011.31
quarterQ314332290.14411.306
quarterQ424332070.159400000000000011.299
quarterQ14362180.16511.298
quarterQ38352290.152800000000000021.293
quarterQ29342340.14531.29
quarterQ115302180.13761.286
quarterQ326322290.139700000000000021.279
quarterQ218332340.141000000000000011.278
quarterQ228342340.14531.2770000000000001
quarterQ233342340.14531.2770000000000001
quarterQ45302070.14491.274
quarterQ344382290.165900000000000021.27
quarterQ440292070.14011.2690000000000001
quarterQ311342290.148500000000000021.256
quarterQ331332290.14411.242
quarterQ114292180.1331.205
quarterQ113312180.14221.203
quarterQ437302070.14491.203
quarterQ212312340.13251.2
quarterQ129352180.160600000000000021.198
quarterQ125252180.114700000000000011.198
quarterQ21292340.123900000000000011.196
quarterQ427282070.13531.189
quarterQ138242180.11011.178
quarterQ217302340.12821.174
quarterQ316312290.135400000000000021.167
quarterQ310282290.12231.167
quarterQ442292070.14011.163
quarterQ234332340.141000000000000011.16
quarterQ13292180.1331.147
quarterQ422272070.130400000000000021.147
quarterQ444312070.149800000000000021.146
quarterQ145252180.114700000000000011.1440000000000001
quarterQ324322290.139700000000000021.138
quarterQ223292340.123900000000000011.135
quarterQ441262070.125600000000000021.127
quarterQ332272290.11791.126
quarterQ236322340.13681.114
quarterQ327292290.126600000000000021.113
quarterQ425222070.10631.11
quarterQ245262340.11111.109
quarterQ44292070.14011.101
quarterQ321262290.11351.096
quarterQ226282340.11971.095
quarterQ110252180.114700000000000011.095
quarterQ25292340.123900000000000011.09
quarterQ36252290.10921.089
quarterQ136292180.1331.084
quarterQ32262290.11351.084
quarterQ43262070.125600000000000021.083
quarterQ118262180.11931.081
quarterQ322282290.12231.075
quarterQ436272070.130400000000000021.063
quarterQ121242180.11011.063
quarterQ433252070.12081.062
quarterQ232262340.11111.061
quarterQ37272290.11791.058
quarterQ127262180.11931.049
quarterQ18272180.123900000000000011.047
quarterQ334292290.126600000000000021.041
quarterQ220262340.11111.039
quarterQ112252180.114700000000000011.039
quarterQ242292340.123900000000000011.029
quarterQ41222070.10631.026
quarterQ421222070.10631.026
quarterQ320252290.10921.02
quarterQ428242070.11591.019
quarterQ134272180.123900000000000011.018
quarterQ341262290.11351.018
quarterQ244312340.13251.014
quarterQ222272340.11541.014

calendar_season_numbers

calendar_dimensionbucketnumberappearancesdraws_in_bucketrate_per_drawlift_vs_overallsample_warning
seasonSummer26392360.16531.513
seasonAutumn24362010.17911.459
seasonSpring45322320.13791.376
seasonAutumn30312010.15421.37
seasonWinter43262190.11871.334
seasonWinter15312190.14161.323
seasonSpring19312320.13361.318
seasonSummer1322360.13561.309
seasonAutumn44342010.169200000000000021.295
seasonSpring12332320.14221.289
seasonWinter14312190.14161.283
seasonWinter41312190.14161.27
seasonSpring33332320.14221.251
seasonWinter25262190.11871.24
seasonSpring32302320.12931.235
seasonWinter7302190.1371.229
seasonSpring17312320.13361.223
seasonWinter4342190.15531.22
seasonSummer11342360.14411.218
seasonSpring18312320.13361.211
seasonSummer39272360.11441.209
seasonAutumn31282010.13931.201
seasonAutumn37292010.14431.197
seasonWinter29352190.15981.193
seasonSummer22322360.13561.192
seasonWinter6262190.11871.185
seasonSpring23302320.12931.184
seasonAutumn27272010.13431.181
seasonAutumn35242010.11941.178
seasonSummer2292360.122900000000000011.173
seasonSummer44362360.15251.168
seasonSummer9312360.131400000000000021.166
seasonWinter13302190.1371.159
seasonAutumn16272010.13431.158
seasonSummer28312360.131400000000000021.155
seasonSpring2282320.12071.152
seasonAutumn29312010.15421.151
seasonSummer6272360.11441.141
seasonAutumn11272010.13431.1360000000000001
seasonSpring34322320.13791.134
seasonAutumn4292010.14431.134
seasonAutumn40252010.124400000000000011.127
seasonAutumn38212010.104500000000000011.118
seasonWinter40272190.12331.117
seasonAutumn7252010.124400000000000011.116
seasonSpring16302320.12931.115
seasonSummer18292360.122900000000000011.113
seasonSpring37312320.13361.109
seasonWinter3282190.12791.102
seasonSpring28292320.1251.099
seasonSpring8302320.12931.094
seasonSpring39242320.10341.094
seasonAutumn23242010.11941.093
seasonSpring36312320.13361.089
seasonWinter27272190.12331.084
seasonSpring42302320.12931.073
seasonAutumn20232010.11441.07
seasonSummer41282360.118600000000000011.064
seasonSummer3292360.122900000000000011.059
seasonSummer31292360.122900000000000011.059
seasonAutumn21222010.10951.056
seasonSummer42302360.127100000000000021.055
seasonAutumn8252010.124400000000000011.052
seasonAutumn5242010.11941.05
seasonAutumn22242010.11941.05
seasonWinter10242190.10961.046
seasonWinter17252190.114200000000000011.045
seasonWinter5262190.11871.044
seasonSummer27282360.118600000000000011.043
seasonSummer8292360.122900000000000011.039
seasonSpring25232320.099100000000000011.036
seasonWinter35232190.1051.036
seasonSpring9272320.11641.033
seasonSpring10252320.10781.029
seasonWinter38212190.09591.026
seasonWinter20242190.10961.024
seasonSummer21252360.105900000000000011.022
seasonSpring35242320.10341.021
seasonSpring38222320.094800000000000011.015
seasonWinter34272190.12331.014

calendar_day_bucket_numbers

calendar_dimensionbucketnumberappearancesdraws_in_bucketrate_per_drawlift_vs_overallsample_warning
day_of_month_bucketend_month8483040.15791.335
day_of_month_bucketmid_month40432920.147300000000000011.334
day_of_month_bucketstart_month31452920.154100000000000011.329
day_of_month_bucketmid_month1392920.13361.289
day_of_month_bucketmid_month13442920.15071.274
day_of_month_bucketend_month33433040.14141.244
day_of_month_bucketmid_month2382920.13011.2429999999999999
day_of_month_bucketend_month25363040.11841.237
day_of_month_bucketmid_month5412920.14041.235
day_of_month_bucketstart_month41402920.1371.229
day_of_month_bucketend_month45373040.12171.214
day_of_month_bucketend_month42443040.14471.201
day_of_month_bucketstart_month39332920.1131.195
day_of_month_bucketmid_month17382920.13011.191
day_of_month_bucketstart_month3402920.1371.181
day_of_month_bucketmid_month28392920.13361.174
day_of_month_bucketend_month35363040.11841.168
day_of_month_bucketstart_month7382920.13011.167
day_of_month_bucketend_month4453040.1481.163
day_of_month_bucketmid_month9382920.13011.156
day_of_month_bucketstart_month43302920.10271.155
day_of_month_bucketmid_month34412920.14041.154
day_of_month_bucketend_month24433040.14141.152
day_of_month_bucketstart_month16392920.13361.151
day_of_month_bucketstart_month19342920.11641.149
day_of_month_bucketend_month39333040.10861.148
day_of_month_bucketend_month21363040.11841.143
day_of_month_bucketend_month20373040.12171.138
day_of_month_bucketend_month10363040.11841.131
day_of_month_bucketstart_month26362920.12331.129
day_of_month_bucketend_month22393040.12831.1280000000000001
day_of_month_bucketmid_month44432920.147300000000000011.127
day_of_month_bucketstart_month1342920.11641.124
day_of_month_bucketstart_month21342920.11641.124
day_of_month_bucketmid_month16382920.13011.1219999999999999
day_of_month_bucketstart_month14362920.12331.117
day_of_month_bucketstart_month18362920.12331.117
day_of_month_bucketend_month26373040.12171.114
day_of_month_bucketmid_month11382920.13011.101
day_of_month_bucketmid_month29432920.147300000000000011.099
day_of_month_bucketmid_month38302920.10271.099
day_of_month_bucketstart_month30362920.12331.095
day_of_month_bucketend_month37403040.13161.092
day_of_month_bucketstart_month36392920.13361.088
day_of_month_bucketstart_month33362920.12331.084
day_of_month_bucketstart_month44412920.14041.075
day_of_month_bucketend_month32343040.111800000000000011.068
day_of_month_bucketmid_month15332920.1131.056
day_of_month_bucketmid_month27352920.11991.054
day_of_month_bucketstart_month27352920.11991.054
day_of_month_bucketend_month31373040.12171.049
day_of_month_bucketend_month36393040.12831.045
day_of_month_bucketmid_month7342920.11641.044
day_of_month_bucketmid_month41342920.11641.044
day_of_month_bucketend_month28363040.11841.041
day_of_month_bucketmid_month23332920.1131.035
day_of_month_bucketstart_month38282920.09591.026
day_of_month_bucketend_month23343040.111800000000000011.024
day_of_month_bucketmid_month14332920.1131.024
day_of_month_bucketmid_month37362920.12331.023
day_of_month_bucketmid_month42362920.12331.023
day_of_month_bucketend_month6313040.102000000000000011.017
day_of_month_bucketend_month15333040.10861.015
day_of_month_bucketmid_month32312920.10621.014
day_of_month_bucketstart_month10312920.10621.014
day_of_month_bucketmid_month19302920.10271.014
day_of_month_bucketstart_month35302920.10271.014
day_of_month_bucketend_month12343040.111800000000000011.013
day_of_month_bucketend_month11363040.11841.002
day_of_month_bucketstart_month4372920.12670.996
day_of_month_bucketmid_month22332920.1130.994
day_of_month_bucketend_month30343040.111800000000000010.993
day_of_month_bucketmid_month12322920.10960.993
day_of_month_bucketmid_month18322920.10960.993
day_of_month_bucketstart_month12322920.10960.993
day_of_month_bucketmid_month6292920.09930.991
day_of_month_bucketstart_month6292920.09930.991
day_of_month_bucketend_month29403040.13160.982
day_of_month_bucketmid_month24352920.11990.976
day_of_month_bucketend_month2313040.102000000000000010.974

calendar_weekday_jokers

calendar_dimensionbucketjokerappearancesdraws_in_bucketrate_per_drawlift_vs_overallsample_warning
weekdayFriday19111.020.182small sample
weekdayWednesday52100.24.674
weekdayWednesday132100.24.036
weekdaySaturday19160.166700000000000013.364small sample
weekdaySaturday15160.166700000000000013.149small sample
weekdaySaturday3160.166700000000000013.02small sample
weekdaySaturday20160.166700000000000013.02small sample
weekdaySaturday1160.166700000000000012.902small sample
weekdaySaturday8160.166700000000000012.846small sample
weekdayWednesday121100.12.337
weekdayWednesday161100.12.22
weekdayWednesday151100.11.889
weekdayWednesday31100.11.812
weekdayWednesday11100.11.741
weekdayTuesday9202840.07041.603
weekdayWednesday181100.11.558
weekdaySunday10212950.07121.405
weekdayThursday11142920.0479000000000000051.252
weekdayThursday13182920.06161.244
weekdayTuesday12152840.05281.234
weekdayTuesday2132840.04581.232
weekdayThursday4172920.05821.231
weekdaySunday20202950.06781.229
weekdayTuesday6152840.05281.203
weekdayThursday7242920.082200000000000011.177
weekdaySunday8202950.06781.158
weekdayTuesday5142840.0493000000000000041.152
weekdayThursday16152920.05141.1400000000000001
weekdaySunday1192950.06441.121
weekdayThursday8192920.06511.111
weekdayThursday19162920.05481.106
weekdayThursday15172920.05821.1
weekdaySunday2122950.04071.095
weekdaySunday17132950.04411.087
weekdayTuesday14172840.05991.085
weekdaySunday11122950.04071.062
weekdayTuesday7212840.073900000000000011.059
weekdaySunday16142950.04751.054
weekdaySunday3172950.0576000000000000051.044
weekdayTuesday1172840.05991.042
weekdayTuesday4142840.0493000000000000041.042
weekdayTuesday17122840.0423000000000000041.042
weekdayThursday18192920.06511.014
weekdaySunday18192950.06441.003
weekdayThursday3162920.05480.993
weekdayThursday14162920.05480.993
weekdayTuesday18182840.06340.987
weekdaySunday14162950.0542000000000000050.983
weekdayThursday5122920.0411000000000000050.96
weekdaySunday19142950.04750.9580000000000001
weekdayThursday6122920.0411000000000000050.936
weekdayTuesday15142840.0493000000000000040.931
weekdayThursday17112920.0377000000000000040.929
weekdaySunday6122950.04070.926
weekdayTuesday10132840.04580.903
weekdaySunday15142950.04750.897
weekdayTuesday3142840.0493000000000000040.893
weekdayTuesday20142840.0493000000000000040.893
weekdaySunday13132950.04410.889
weekdayThursday12112920.0377000000000000040.88
weekdaySunday12112950.03730.871
weekdayThursday20142920.0479000000000000050.869
weekdayTuesday19122840.0423000000000000040.853
weekdaySunday7172950.0576000000000000050.8250000000000001
weekdaySunday5102950.03390.792
weekdaySunday4112950.03730.788
weekdayTuesday13112840.0387000000000000050.782
weekdayTuesday16102840.03520.782
weekdayThursday1132920.0445000000000000050.775
weekdaySunday9102950.03390.772
weekdayThursday10112920.0377000000000000040.743
weekdayThursday282920.02740.737
weekdayTuesday1182840.0282000000000000030.736
weekdayTuesday8122840.0423000000000000040.722
weekdayThursday992920.03080.7020000000000001
weekdayFriday1010.00.0small sample
weekdayFriday2010.00.0small sample
weekdayFriday3010.00.0small sample
weekdayFriday4010.00.0small sample
weekdayFriday5010.00.0small sample

calendar_month_jokers

calendar_dimensionbucketjokerappearancesdraws_in_bucketrate_per_drawlift_vs_overallsample_warning
monthDecember1910770.129900000000000022.621
monthSeptember177710.098600000000000012.432
monthSeptember159710.12682.395
monthJuly117790.08862.314
monthNovember189640.14062.191
monthNovember25640.07812.102
monthOctober96660.090900000000000012.07
monthAugust39790.11392.065
monthApril108770.10392.05
monthJune711780.141000000000000012.02
monthNovember147640.109400000000000011.982
monthDecember176770.07791.9220000000000002
monthMarch56760.07891.845
monthAugust208790.10131.835
monthOctober87660.10611.811
monthOctober106660.090900000000000011.794
monthMarch25760.06581.77
monthJuly66790.075900000000000011.729
monthMarch115760.06581.718
monthNovember36640.093800000000000011.699
monthFebruary125690.072500000000000011.693
monthAugust166790.075900000000000011.686
monthApril79770.11691.674
monthMay157790.08861.674
monthAugust115790.063300000000000011.653
monthFebruary95690.072500000000000011.65
monthDecember46770.07791.647
monthOctober24660.06061.631
monthMarch175760.06581.623
monthMay37790.08861.6059999999999999
monthApril136770.07791.573
monthJanuary65730.06851.56
monthFebruary24690.0581.56
monthAugust17790.08861.5430000000000001
monthMay136790.075900000000000011.533
monthFebruary45690.072500000000000011.532
monthJanuary165730.06851.521
monthDecember125770.06491.517
monthFebruary16690.087000000000000011.514
monthMarch78760.10531.508
monthJune55780.06411.498
monthSeptember45710.07041.4889999999999999
monthDecember65770.06491.479
monthMay125790.063300000000000011.479
monthJanuary24730.05481.474
monthSeptember114710.05631.471
monthMarch165760.06581.461
monthJune65780.06411.46
monthJune95780.06411.46
monthJune156780.076900000000000011.453
monthJuly78790.10131.45
monthFebruary105690.072500000000000011.43
monthOctober54660.06061.416
monthDecember146770.07791.412
monthJanuary135730.06851.3820000000000001
monthMay146790.075900000000000011.376
monthDecember16770.07791.357
monthJune114780.0513000000000000051.339
monthJuly45790.063300000000000011.338
monthNovember85640.07811.334
monthApril86770.07791.331
monthMay16790.075900000000000011.322
monthFebruary205690.072500000000000011.313
monthJuly86790.075900000000000011.297
monthFebruary164690.0581.287
monthJanuary186730.082200000000000011.28
monthJuly135790.063300000000000011.2770000000000001
monthMay195790.063300000000000011.2770000000000001
monthAugust105790.063300000000000011.249
monthMay174790.05061.249
monthJanuary94730.05481.248
monthFebruary85690.072500000000000011.237
monthMarch124760.05261.23
monthDecember54770.05191.214
monthJune186780.076900000000000011.198
monthJune124780.0513000000000000051.198
monthJanuary15730.06851.193
monthMarch205760.06581.192
monthMay186790.075900000000000011.183
monthApril94770.05191.183

gap_timeline_engine

numberappearancescurrent_gap_drawsmean_gapmedian_gapmin_gapmax_gapstd_gappressure_percentilegap_acceleration_last3_vs_prev3last_gap_sequencesample_warning
8105328.165.51508.1398.081.05, 3, 1, 14, 4, 5, 8, 9
43792911.07.016011.6594.8715.014, 10, 8, 7, 1, 4, 6, 51
1898208.917.01357.6192.783.03, 4, 2, 1, 1, 2, 1, 10
29119177.365.01336.7989.8317.335, 9, 1, 5, 6, 10, 27, 27
13105168.286.51377.1487.52.676, 2, 8, 17, 9, 11, 9, 22
192169.457.01398.3483.52-9.013, 22, 2, 13, 37, 10, 4, 11
1298158.936.01457.9283.519.6712, 2, 6, 1, 1, 13, 4, 20
31103148.56.01398.1282.35-15.336, 13, 23, 13, 15, 1, 3, 1
4199138.886.01568.7279.592.02, 6, 1, 7, 1, 4, 3, 8
38831310.227.015711.1779.27-0.331, 3, 7, 4, 9, 8, 1, 10
689149.926.01439.2876.147.673, 21, 3, 1, 1, 3, 21, 4
42107118.186.51347.0175.471.6712, 8, 9, 1, 4, 16, 2, 1
39841210.537.017212.7374.70.339, 7, 5, 2, 27, 25, 6, 4
5101118.555.51458.574.04.6727, 45, 21, 3, 2, 2, 24, 14
36109108.116.01427.6772.220.010, 1, 12, 2, 27, 5, 12, 24
1498109.016.01438.3669.07-22.672, 2, 30, 23, 30, 8, 6, 1
2710198.695.51519.0569.0-4.6711, 7, 27, 14, 3, 3, 8, 19
4589109.946.014510.1564.7714.02, 31, 5, 1, 2, 36, 12, 2
4411657.635.01398.3155.65-0.331, 1, 2, 15, 1, 3, 9, 5
269769.146.01599.9555.210.05, 17, 5, 12, 5, 6, 2, 14
219269.426.01459.0452.754.3321, 3, 5, 2, 1, 4, 16, 1
29369.456.01439.551.092.339, 9, 3, 4, 1, 8, 3, 4
2585710.47.51499.6250.07.03, 49, 11, 9, 8, 8, 24, 17
329369.417.01478.8247.831.6714, 2, 9, 3, 7, 11, 6, 7
209559.377.01508.5541.498.01, 24, 8, 16, 9, 4, 50, 3
2810138.816.01418.7239.0-9.339, 4, 5, 8, 26, 6, 3, 2
179749.056.01388.0938.548.03, 9, 4, 27, 8, 4, 38, 21
3310148.816.51387.4234.07.339, 5, 3, 1, 6, 27, 1, 4
159549.237.01447.5826.6-1.675, 6, 22, 1, 5, 8, 2, 13
79929.06.51538.9325.51-3.6711, 8, 19, 11, 3, 8, 4, 10
411327.865.01376.9524.11-6.334, 6, 7, 11, 17, 11, 4, 1
239739.168.01437.922.926.6710, 2, 14, 8, 5, 2, 27, 18
409829.126.01458.7522.681.676, 7, 17, 2, 3, 22, 4, 1
199029.857.01348.4422.475.337, 25, 23, 2, 7, 14, 11, 23
910028.896.01337.4522.226.09, 3, 14, 1, 2, 19, 9, 7
1610318.516.51448.5815.69-4.3311, 12, 22, 4, 6, 4, 12, 3
3710718.257.01356.8812.26-7.331, 2, 35, 2, 5, 2, 15, 3
3410818.266.01427.2412.15-6.673, 14, 9, 19, 4, 1, 1, 10
1110518.515.01779.6510.58-8.3323, 27, 15, 16, 4, 2, 6, 2
310318.697.01387.03.923.3317, 5, 12, 2, 2, 10, 10, 6
109309.498.01529.090.0-7.672, 52, 2, 11, 18, 2, 1, 5
2210108.836.01418.020.00.09, 5, 11, 10, 1, 4, 9, 9
2410908.196.01367.630.03.337, 8, 2, 7, 7, 12, 6, 8
3010008.966.01347.270.03.018, 1, 6, 4, 1, 5, 10, 5
359009.897.015810.070.0-3.338, 10, 11, 2, 20, 3, 5, 15

cycle_engine_2

numbergap_sequence_last_12mean_cyclecycle_cvcycle_strengthcurrent_gapcycle_match_nowinterpretation
457, 6, 5, 17, 2, 31, 5, 1, 2, 36, 12, 29.941.020.01099.43weak/irregular cycle
272, 6, 1, 6, 11, 7, 27, 14, 3, 3, 8, 198.691.0410.0996.43weak/irregular cycle
142, 30, 6, 3, 2, 2, 30, 23, 30, 8, 6, 19.010.9287.211089.02weak/irregular cycle
3914, 14, 5, 1, 9, 7, 5, 2, 27, 25, 6, 410.531.2090.01286.04weak/irregular cycle
362, 9, 5, 6, 10, 1, 12, 2, 27, 5, 12, 248.110.94500000000000015.461076.71weak/irregular cycle
383, 14, 10, 14, 1, 3, 7, 4, 9, 8, 1, 1010.221.0930.01372.79weak/irregular cycle
52, 6, 1, 10, 27, 45, 21, 3, 2, 2, 24, 148.550.9940.591171.35weak/irregular cycle
2518, 15, 20, 6, 3, 49, 11, 9, 8, 8, 24, 1710.40.9247.57767.28weak/irregular cycle
261, 2, 7, 3, 5, 17, 5, 12, 5, 6, 2, 149.141.0890.0665.68weak/irregular cycle
423, 1, 7, 4, 12, 8, 9, 1, 4, 16, 2, 18.180.85714.341165.51weak/irregular cycle
441, 1, 7, 10, 1, 1, 2, 15, 1, 3, 9, 57.631.0880.0565.49weak/irregular cycle
3235, 17, 15, 4, 14, 2, 9, 3, 7, 11, 6, 79.410.9376.33663.74weak/irregular cycle
215, 8, 6, 2, 21, 3, 5, 2, 1, 4, 16, 19.420.964.0663.71weak/irregular cycle
27, 8, 5, 2, 9, 9, 3, 4, 1, 8, 3, 49.451.0060.0663.52weak/irregular cycle
69, 15, 3, 5, 3, 21, 3, 1, 1, 3, 21, 49.920.9356.461458.88weak/irregular cycle
418, 6, 1, 9, 2, 6, 1, 7, 1, 4, 3, 88.880.9831.731353.56weak/irregular cycle
202, 28, 4, 6, 1, 24, 8, 16, 9, 4, 50, 39.370.9128.79553.35weak/irregular cycle
338, 7, 6, 19, 9, 5, 3, 1, 6, 27, 1, 48.810.84215.83445.4weak/irregular cycle
172, 11, 5, 1, 3, 9, 4, 27, 8, 4, 38, 219.050.89310.66444.19weak/irregular cycle
159, 5, 8, 12, 5, 6, 22, 1, 5, 8, 2, 139.230.821000000000000117.9443.32weak/irregular cycle
315, 31, 8, 14, 6, 13, 23, 13, 15, 1, 3, 18.50.95600000000000014.431435.29weak/irregular cycle
2815, 1, 3, 3, 9, 4, 5, 8, 26, 6, 3, 28.810.9891.06334.05weak/irregular cycle
236, 6, 40, 10, 10, 2, 14, 8, 5, 2, 27, 189.160.86313.74332.76weak/irregular cycle
1212, 2, 6, 5, 12, 2, 6, 1, 1, 13, 4, 208.930.88711.261531.99weak/irregular cycle
18, 15, 10, 4, 13, 22, 2, 13, 37, 10, 4, 119.450.88211.791630.7weak/irregular cycle
41, 3, 11, 9, 4, 6, 7, 11, 17, 11, 4, 17.860.88411.6225.45weak/irregular cycle
924, 2, 5, 24, 9, 3, 14, 1, 2, 19, 9, 78.890.83916.15222.5weak/irregular cycle
72, 8, 12, 5, 11, 8, 19, 11, 3, 8, 4, 109.00.9920.8222.22weak/irregular cycle
406, 5, 10, 3, 6, 7, 17, 2, 3, 22, 4, 19.120.95900000000000014.07221.92weak/irregular cycle
1913, 14, 24, 13, 7, 25, 23, 2, 7, 14, 11, 239.850.85614.35220.3weak/irregular cycle
3710, 11, 26, 7, 1, 2, 35, 2, 5, 2, 15, 38.250.83416.65112.11weak/irregular cycle
3418, 3, 10, 6, 3, 14, 9, 19, 4, 1, 1, 108.260.87712.34112.1weak/irregular cycle
118, 4, 13, 4, 23, 27, 15, 16, 4, 2, 6, 28.511.1340.0111.75weak/irregular cycle
161, 2, 44, 10, 11, 12, 22, 4, 6, 4, 12, 38.511.0090.0111.75weak/irregular cycle
36, 8, 13, 5, 17, 5, 12, 2, 2, 10, 10, 68.690.80519.46111.51weak/irregular cycle
135, 18, 2, 2, 6, 2, 8, 17, 9, 11, 9, 228.280.86213.81166.74weak/irregular cycle
303, 1, 25, 10, 18, 1, 6, 4, 1, 5, 10, 58.960.81218.8200.0weak/irregular cycle
1811, 5, 2, 2, 3, 4, 2, 1, 1, 2, 1, 108.910.85414.62200.0weak/irregular cycle
223, 23, 21, 3, 9, 5, 11, 10, 1, 4, 9, 98.830.9089.1900.0weak/irregular cycle
299, 5, 6, 3, 5, 9, 1, 5, 6, 10, 27, 277.360.9227.77170.0weak/irregular cycle
241, 14, 5, 12, 7, 8, 2, 7, 7, 12, 6, 88.190.9326.8200.0weak/irregular cycle
109, 3, 8, 3, 2, 52, 2, 11, 18, 2, 1, 59.490.95800000000000014.2500.0weak/irregular cycle
81, 18, 12, 11, 5, 3, 1, 14, 4, 5, 8, 98.160.9960.38320.0weak/irregular cycle
3515, 9, 9, 13, 8, 10, 11, 2, 20, 3, 5, 159.891.0190.000.0weak/irregular cycle
431, 3, 15, 28, 14, 10, 8, 7, 1, 4, 6, 5111.01.0590.0290.0weak/irregular cycle

trend_engine

numberearly_rate_per_drawrecent_rate_per_drawdelta_recent_minus_earlytrend_slope_segmentstrend
210.08840.13180.04340.0135up
440.116100000000000010.157600000000000020.04140.0234up
20.091900000000000010.128600000000000020.03680.0212flat
180.09880.13180.0330.0099flat
260.09880.128600000000000020.02980.0014flat
380.08490.109300000000000010.02440.010400000000000001flat
150.09880.12220.02340.0095flat
280.10570.128600000000000020.02290.011300000000000001flat
220.10570.128600000000000020.02290.014flat
60.09360.11250.0190.011300000000000001flat
400.104000000000000010.12220.01820.0045000000000000005flat
350.095300000000000010.11250.0172-0.007200000000000001flat
70.10570.12220.01650.010400000000000001flat
160.11090.12540.01450.0095flat
40.12310.1350.012-0.005flat
300.10920.119000000000000010.00980.0018000000000000002flat
450.09710.10610.0091-0.0095flat
120.10750.11580.00830.0063flat
430.08670.09320.0066-0.0005flat
90.11090.11580.00480000000000000040.0018000000000000002flat
240.12130.12540.00410.0086flat
420.119600000000000010.12220.00260000000000000030.0014flat
130.11790.119000000000000010.00110.0014flat
390.095300000000000010.0932-0.00210000000000000030.0063flat
370.12130.11900000000000001-0.0023-0.0059flat
410.112700000000000010.10930000000000001-0.0033-0.0014flat
170.11090.1061-0.0048000000000000004-0.0149flat
30.11790.1125-0.00530.0023flat
330.116100000000000010.10930000000000001-0.0068000000000000005-0.0023flat
190.104000000000000010.0965-0.007500000000000001-0.0027flat
100.10750.09970000000000001-0.00780000000000000050.0014flat
320.10920.0965-0.012700000000000001-0.0059flat
340.12820.10930000000000001-0.0189-0.0081flat
230.116100000000000010.0965-0.019700000000000002-0.0158flat
10.11090.09-0.020900000000000002-0.0027flat
80.12650.1029-0.0236-0.0023flat
110.12650.1029-0.0236-0.010400000000000001flat
310.124800000000000010.09970000000000001-0.0251-0.011300000000000001flat
360.13170.1061-0.0256-0.0059flat
270.12310.0965-0.026600000000000002-0.010400000000000001flat
200.11790.0868-0.031-0.0122flat
290.14560.1125-0.033-0.020300000000000002flat
50.12650.09-0.036500000000000005-0.0059flat
140.124800000000000010.08360000000000001-0.0412-0.0135down
250.11090.0675-0.0434-0.0077down

wave_engine

zonesegment_rateswave_slopedirectioninterpretation
1-100.96, 1.20, 1.11, 1.16, 1.10, 1.150.0201stable/flat
41-450.57, 0.55, 0.47, 0.54, 0.61, 0.570.0077stable/flat
21-301.20, 1.09, 1.09, 1.14, 1.12, 1.13-0.0066stable/flat
31-401.13, 1.09, 1.14, 1.11, 1.03, 1.10-0.010400000000000001stable/flat
11-201.14, 1.07, 1.18, 1.06, 1.14, 1.05-0.0108stable/flat

change_point_engine

split_draw_idsplit_datebefore_drawsafter_drawszone_distribution_shiftchi2_p_valuestatus
27642024-06-095333550.05920.35806299999999996normal variation
27712024-06-255403480.0569000000000000060.42155000000000004normal variation
23282021-08-242446440.05530.409595normal variation
27582024-05-265273610.05380.39686699999999997normal variation
22612021-03-211777110.0510000000000000040.576224normal variation
23212021-08-082376510.04990.516828normal variation
23142021-07-222306580.04890.593028normal variation
27782024-07-115473410.04890.497471normal variation
23082021-07-082246640.0474000000000000050.6519309999999999normal variation
24892022-09-064054830.0474000000000000050.49051799999999995normal variation
24762022-08-073924960.04530.529366normal variation
27172024-02-204864020.04530.5956389999999999normal variation
23352021-09-092516370.0450.612962normal variation
27512024-05-095203680.0450.499218normal variation
24962022-09-224124760.04460.5906normal variation
24832022-08-233994890.04430.521394normal variation
25162022-11-084324560.04420.6373759999999999normal variation
26902023-12-194594290.04320.658022normal variation
26972024-01-044664220.04270.6328100000000001normal variation
24692022-07-213855030.04260.597046normal variation

discovery_mode_with_skeptic

hypothesisengineevidencesample_sizeskeptic_statusskeptic_reason
number 8 is in a historically high current gap windowGap Timeline Engine98.08105Candidate Patternsurvived initial skeptic checks
number 43 is in a historically high current gap windowGap Timeline Engine94.8779Candidate Patternsurvived initial skeptic checks
number 18 is in a historically high current gap windowGap Timeline Engine92.7898Candidate Patternsurvived initial skeptic checks
number 29 is in a historically high current gap windowGap Timeline Engine89.83119Candidate Patternsurvived initial skeptic checks
number 13 is in a historically high current gap windowGap Timeline Engine87.5105Candidate Patternsurvived initial skeptic checks
number 1 is in a historically high current gap windowGap Timeline Engine83.5292Candidate Patternsurvived initial skeptic checks
number 12 is in a historically high current gap windowGap Timeline Engine83.5198Candidate Patternsurvived initial skeptic checks
number 31 is in a historically high current gap windowGap Timeline Engine82.35103Candidate Patternsurvived initial skeptic checks
joker 19 appears more often in month=DecemberCalendar Engine2.62177Candidate Patternsurvived initial skeptic checks
joker 17 appears more often in month=SeptemberCalendar Engine2.43271Candidate Patternsurvived initial skeptic checks
joker 15 appears more often in month=SeptemberCalendar Engine2.39571Candidate Patternsurvived initial skeptic checks
joker 11 appears more often in month=JulyCalendar Engine2.31479Candidate Patternsurvived initial skeptic checks
joker 18 appears more often in month=NovemberCalendar Engine2.19164Candidate Patternsurvived initial skeptic checks
joker 2 appears more often in month=NovemberCalendar Engine2.10264Candidate Patternsurvived initial skeptic checks
joker 9 appears more often in month=OctoberCalendar Engine2.0766Candidate Patternsurvived initial skeptic checks
joker 3 appears more often in month=AugustCalendar Engine2.06579Candidate Patternsurvived initial skeptic checks
joker 10 appears more often in month=AprilCalendar Engine2.0577Candidate Patternsurvived initial skeptic checks
joker 7 appears more often in month=JuneCalendar Engine2.0278Candidate Patternsurvived initial skeptic checks
joker 14 appears more often in month=NovemberCalendar Engine1.98264Candidate Patternsurvived initial skeptic checks
number 30 appears more often in month=NovemberCalendar Engine1.942000000000000264Candidate Patternsurvived initial skeptic checks
joker 17 appears more often in month=DecemberCalendar Engine1.922000000000000277Candidate Patternsurvived initial skeptic checks
number 43 appears more often in month=JanuaryCalendar Engine1.847999999999999973Candidate Patternsurvived initial skeptic checks
joker 5 appears more often in month=MarchCalendar Engine1.84576Candidate Patternsurvived initial skeptic checks
number 7 appears more often in month=JanuaryCalendar Engine1.84373Candidate Patternsurvived initial skeptic checks
joker 20 appears more often in month=AugustCalendar Engine1.83579Candidate Patternsurvived initial skeptic checks
joker 8 appears more often in month=OctoberCalendar Engine1.81166Candidate Patternsurvived initial skeptic checks
number 43 appears more often in week_of_year=53Calendar Engine7.4943Rejected / Needs more datasmall sample
number 45 appears more often in week_of_year=53Calendar Engine6.6523Rejected / Needs more datasmall sample
number 14 appears more often in week_of_year=53Calendar Engine6.0413Rejected / Needs more datasmall sample
joker 5 appears more often in weekday=WednesdayCalendar Engine4.67410Rejected / Needs more datasmall sample
number 9 appears more often in weekday=SaturdayCalendar Engine4.446Rejected / Needs more datasmall sample
joker 13 appears more often in weekday=WednesdayCalendar Engine4.03610Rejected / Needs more datasmall sample
number 8 appears more often in week_of_year=12Calendar Engine3.716Rejected / Needs more datasmall sample
number 7 appears more often in week_of_year=5Calendar Engine3.69317Rejected / Needs more datasmall sample
number 26 appears more often in week_of_year=26Calendar Engine3.5618Rejected / Needs more datasmall sample
number 17 appears more often in week_of_year=50Calendar Engine3.5618Rejected / Needs more datasmall sample
number 45 appears more often in week_of_year=41Calendar Engine3.32615Rejected / Needs more datasmall sample
number 42 appears more often in weekday=WednesdayCalendar Engine3.3210Rejected / Needs more datasmall sample
number 43 appears more often in week_of_year=1Calendar Engine3.30617Rejected / Needs more datasmall sample
number 11 appears more often in week_of_year=34Calendar Engine3.28918Rejected / Needs more datasmall sample
number 26 appears more often in week_of_year=9Calendar Engine3.23117Rejected / Needs more datasmall sample
number 12 appears more often in week_of_year=9Calendar Engine3.19817Rejected / Needs more datasmall sample
number 2 appears more often in week_of_year=14Calendar Engine3.18318Rejected / Needs more datasmall sample
number 10 appears more often in week_of_year=16Calendar Engine3.18318Rejected / Needs more datasmall sample
number 10 appears more often in week_of_year=35Calendar Engine3.18318Rejected / Needs more datasmall sample
number 9 appears more often in week_of_year=3Calendar Engine3.13417Rejected / Needs more datasmall sample
number 15 appears more often in weekday=SaturdayCalendar Engine3.1166Rejected / Needs more datasmall sample
number 20 appears more often in week_of_year=46Calendar Engine3.11615Rejected / Needs more datasmall sample
number 12 appears more often in weekday=SaturdayCalendar Engine3.026Rejected / Needs more datasmall sample
number 28 appears more often in weekday=SaturdayCalendar Engine2.9316Rejected / Needs more datasmall sample
number 1 appears more often in weekday=WednesdayCalendar Engine2.89610Rejected / Needs more datasmall sample
number 32 appears more often in weekday=WednesdayCalendar Engine2.86510Rejected / Needs more datasmall sample
number 37 appears more often in weekday=SaturdayCalendar Engine2.7666Rejected / Needs more datasmall sample
number 17 appears more often in weekday=WednesdayCalendar Engine2.74610Rejected / Needs more datasmall sample
number 40 appears more often in weekday=WednesdayCalendar Engine2.71810Rejected / Needs more datasmall sample
number 24 appears more often in weekday=SaturdayCalendar Engine2.7166Rejected / Needs more datasmall sample
number 43 appears more often in weekday=WednesdayCalendar Engine2.24810Rejected / Needs more datasmall sample
number 25 appears more often in weekday=WednesdayCalendar Engine2.08910Rejected / Needs more datasmall sample
number 23 appears more often in weekday=WednesdayCalendar Engine1.83110Rejected / Needs more datasmall sample