Add query from Eleatic Stranger on 2+2
Preliminary query for analysing hole cards
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Worros
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@ -1054,6 +1054,137 @@ class FpdbSQLQueries:
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elif(self.dbname == 'SQLite'):
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self.query['playerStatsByPosition'] = """ """
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if(self.dbname == 'MySQL InnoDB'):
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self.query['playerStatsByPositionAndHoleCards'] = """
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SELECT
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concat(upper(stats.limitType), ' '
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,concat(upper(substring(stats.category,1,1)),substring(stats.category,2) ), ' '
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,stats.name, ' $'
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,cast(trim(leading ' ' from
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case when stats.bigBlind < 100 then format(stats.bigBlind/100.0,2)
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else format(stats.bigBlind/100.0,0)
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end ) as char)
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) AS Game
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,case when stats.PlPosition = -2 then 'BB'
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when stats.PlPosition = -1 then 'SB'
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when stats.PlPosition = 0 then 'Btn'
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when stats.PlPosition = 1 then 'CO'
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when stats.PlPosition = 2 then 'MP'
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when stats.PlPosition = 5 then 'EP'
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else '??'
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end AS PlPosition
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/*,stats.n*/,hprof2.n
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/*,stats.vpip*/,0
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/*,stats.pfr*/,0
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/*,stats.saw_f*/,0
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/*,stats.sawsd*/,0
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/*,stats.wtsdwsf*/,0
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/*,stats.wmsd*/,0
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/*,stats.FlAFq*/,0
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/*,stats.TuAFq*/,0
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/*,stats.RvAFq*/,0
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/*,stats.PoFAFq*/,0
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/* if you have handsactions data the next 3 fields should give same answer as
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following 3 commented out fields */
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/*,stats.Net
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,stats.BBper100
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,stats.Profitperhand*/
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,format(hprof2.sum_profit/100.0,2) AS Net
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/*,format((hprof2.sum_profit/(stats.bigBlind+0.0)) / (stats.n/100.0),2)*/,0
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AS BBlPer100
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,hprof2.profitperhand AS Profitperhand
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,format(hprof2.variance,2) AS Variance
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FROM
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(select /* stats from hudcache */
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gt.base
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,gt.category
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,upper(gt.limitType) as limitType
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,s.name
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,gt.bigBlind
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,hc.gametypeId
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,case when hc.position = 'B' then -2
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when hc.position = 'S' then -1
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when hc.position = 'D' then 0
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when hc.position = 'C' then 1
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when hc.position = 'M' then 2
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when hc.position = 'E' then 5
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else 9
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end as PlPosition
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,sum(HDs) AS n
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,format(100.0*sum(street0VPI)/sum(HDs),1) AS vpip
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,format(100.0*sum(street0Aggr)/sum(HDs),1) AS pfr
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,format(100.0*sum(street1Seen)/sum(HDs),1) AS saw_f
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,format(100.0*sum(sawShowdown)/sum(HDs),1) AS sawsd
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,case when sum(street1Seen) = 0 then 'oo'
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else format(100.0*sum(sawShowdown)/sum(street1Seen),1)
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end AS wtsdwsf
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,case when sum(sawShowdown) = 0 then 'oo'
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end AS wtsdwsf
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,case when sum(sawShowdown) = 0 then 'oo'
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else format(100.0*sum(wonAtSD)/sum(sawShowdown),1)
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end AS wmsd
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,case when sum(street1Seen) = 0 then 'oo'
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else format(100.0*sum(street1Aggr)/sum(street1Seen),1)
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end AS FlAFq
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,case when sum(street2Seen) = 0 then 'oo'
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else format(100.0*sum(street2Aggr)/sum(street2Seen),1)
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end AS TuAFq
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,case when sum(street3Seen) = 0 then 'oo'
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else format(100.0*sum(street3Aggr)/sum(street3Seen),1)
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end AS RvAFq
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,case when sum(street1Seen)+sum(street2Seen)+sum(street3Seen) = 0 then 'oo'
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else format(100.0*(sum(street1Aggr)+sum(street2Aggr)+sum(street3Aggr))
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/(sum(street1Seen)+sum(street2Seen)+sum(street3Seen)),1)
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end AS PoFAFq
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,format(sum(totalProfit)/100.0,2) AS Net
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,format((sum(totalProfit)/(gt.bigBlind+0.0)) / (sum(HDs)/100.0),2)
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AS BBper100
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,format( (sum(totalProfit)/100.0) / sum(HDs), 4) AS Profitperhand
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from Gametypes gt
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inner join Sites s on s.Id = gt.siteId
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inner join HudCache hc on hc.gameTypeId = gt.Id
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where hc.playerId in <player_test>
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# use <gametype_test> here ?
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group by gt.base
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,gt.category
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,upper(gt.limitType)
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,s.name
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,gt.bigBlind
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,hc.gametypeId
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,PlPosition
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) stats
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inner join
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( select # profit from handsplayers/handsactions
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hprof.gameTypeId,
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case when hprof.position = 'B' then -2
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when hprof.position = 'S' then -1
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when hprof.position in ('3','4') then 2
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when hprof.position in ('6','7') then 5
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else hprof.position
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end as PlPosition,
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sum(hprof.profit) as sum_profit,
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avg(hprof.profit/100.0) as profitperhand,
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variance(hprof.profit/100.0) as variance,
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count(*) as n
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from
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(select hp.handId, h.gameTypeId, hp.position, hp.winnings, SUM(ha.amount)
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costs, hp.winnings - SUM(ha.amount) profit
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from HandsPlayers hp
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inner join Hands h ON h.id = hp.handId
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left join HandsActions ha ON ha.handPlayerId = hp.id
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where hp.playerId in <player_test>
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# use <gametype_test> here ?
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and hp.tourneysPlayersId IS NULL
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and ((hp.card1Value = <first_card> and hp.card2Value = <second_card>) or (hp.card1Value = <second_card> and hp.card2Value = <first_card>))
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group by hp.handId, h.gameTypeId, hp.position, hp.winnings
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) hprof
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group by hprof.gameTypeId, PlPosition
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) hprof2
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on ( hprof2.gameTypeId = stats.gameTypeId
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and hprof2.PlPosition = stats.PlPosition)
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order by stats.category, stats.limittype, stats.bigBlind, cast(stats.PlPosition as signed)
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"""
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if __name__== "__main__":
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from optparse import OptionParser
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