/*增幅降幅排名*/

复制代码 代码如下:

Select top 50 UserName,sum(ReceivePrice) - sum(GuessPrice) as ReceivePrice,

cast(sum(CASE WHEN ReceivePrice>0 THEN 1.0 ELSE 0 END) / count(ReceivePrice) * 100 as numeric(4,1)) as Rate

From [game_FantasyLog]

WHERE IsJudge=1

GROUP BY UserId,UserName

ORDER BY sum(ReceivePrice) - sum(GuessPrice) ASC

/*正确率错误率排名*/

复制代码 代码如下:

Select top 50 UserName,sum(ReceivePrice) - sum(GuessPrice) as ReceivePrice,

cast(sum(CASE WHEN ReceivePrice>0 THEN 1.0 ELSE 0 END) / count(ReceivePrice) * 100 as numeric(4,1)) as Rate

From [game_FantasyLog]

WHERE IsJudge=1

GROUP BY UserId,UserName Having count(UserId) >= 5

ORDER BY cast(sum(CASE WHEN ReceivePrice>0 THEN 1.0 ELSE 0 END) / count(ReceivePrice) * 100 as numeric(4,1)) ASC

/*大手笔排名*/

复制代码 代码如下:

Select top 50 l.UserName,sum(l.GuessPrice),sum(l.ReceivePrice),f.title

From [game_FantasyLog] l left join [game_fantasy] f on l.topicid = f.id

GROUP BY l.TopicId,l.UserName,f.title

ORDER BY sum(l.GuessPrice) DESC

/*冷门场次排名*/

复制代码 代码如下:

Select top 50 f.id,f.title,f.GuessPrice,(select sum(receivePrice) FROM [game_FantasyLog] l where l.topicid = f.id),

cast((select sum(CASE WHEN ReceivePrice>0 THEN 1.0 ELSE 0 END) / f.GuessTimes FROM [game_FantasyLog] l2 where l2.topicid = f.id) as numeric(4,2))

From [game_Fantasy] f WHERE f.GuessPrice > 1000

ORDER BY (select sum(receivePrice) FROM [game_FantasyLog] l where l.topicid = f.id) ASC

/*冷门场次的命中者*/

复制代码 代码如下:

Select top 50 UserName,sum(ReceivePrice) as ReceivePrice

From [game_FantasyLog] where topicid=29

GROUP BY TopicId,UserName

ORDER BY sum(ReceivePrice) DESC