Question

I have a MSSQL query for point table of all matches of this season.

The database consists of one table and table column name is;

Div (League name), Date, HomeTeam, AwayTeam, FTHG(FullTimeHomeGoal), FTAG (FullTimeAwayGoal)...

Table structure

Div (nvarchar)
Date (datetime)
Hometeam (nvarchar)
Awayteam (nvarchar)
Fthg (float)
Fthg (float)

How can i do points table of last 5 matches/games ?

select 
    team, 
    count(*) MP, 
    count(case when fthg > ftag then 1 end) W, 
    count(case when fthg = ftag then 1 end) D, 
    count(case when fthg < ftag then 1 end) L,
    sum(fthg) GF,
    sum(ftag) GA,
    sum(fthg) - sum(ftag) GD,
    sum(case when fthg > ftag then 3 else 0 end + case when fthg = ftag then 1 else 0 end) Pts
    from (
    select Div, hometeam team, fthg, ftag, hthg, htag from Matches 
      union all
    select Div, awayteam team, ftag, fthg, htag, hthg from Matches 
    ) a
    where div='E0'
group by team
order by Pts desc

Query results:

team        MP  W   D   L   GF  GA  GD  Pts
Chelsea     32  24  3   5   65  27  38  75
Tottenham   32  21  8   3   68  22  46  71
Liverpool   33  19  9   5   69  40  29  66
Man City    32  19  7   6   63  35  28  64
Man United  31  16  12  3   48  24  24  60
Arsenal     31  17  6   8   63  40  23  57
Everton     33  16  9   8   60  37  23  57
West Brom   33  12  8   13  39  42  -3  44
Watford     32  11  7   14  37  52  -15 40
Southampton 31  11  7   13  37  40  -3  40
Stoke       33  10  9   14  37  48  -11 39
Leicester   32  10  7   15  41  53  -12 37
West Ham    33  10  7   16  44  59  -15 37
Burnley     33  10  6   17  33  47  -14 36
Bournemouth 33  9   8   16  45  63  -18 35
Crystal Pa  32  10  5   17  44  52  -8  35
Hull        33  8   6   19  34  67  -33 30
Swansea     33  8   4   21  37  68  -31 28
Middlesbr   32  4   12  16  23  39  -16 24
Sunderland  32  5   6   21  26  58  -32 21

Sample data :

div date                    hometeam        awayteam    fthg    ftag
E0  2017-04-17 00:00:00.000 Middlesbrough   Arsenal     1       2
E0  2017-04-16 00:00:00.000 Man United      Chelsea     2       0
E0  2017-04-16 00:00:00.000 West Brom       Liverpool   0       1
E0  2017-04-15 00:00:00.000 Crystal Palace  Leicester   2       2
E0  2017-04-15 00:00:00.000 Everton         Burnley     3       1
.....
...

Answer 1

我认为这样可行。

with table_a as (
    select Div, date, hometeam team, fthg, ftag, hthg, htag from Matches 
      union all
    select Div, date, awayteam team, ftag, fthg, htag, hthg from Matches 
    ) 
,table_b as (
select * from (
    select a.*
    ,row_number() over (partition by a.team order by a.date desc) as row_num
    from table_a a)
where row_num <= 5)

select 
    team, 
    count(*) MP, 
    count(case when fthg > ftag then 1 end) W, 
    count(case when fthg = ftag then 1 end) D, 
    count(case when fthg < ftag then 1 end) L,
    sum(fthg) GF,
    sum(ftag) GA,
    sum(fthg) - sum(ftag) GD,
    sum(case when fthg > ftag then 3 else 0 end + case when fthg = ftag then 1 else 0 end) Pts
    from table_b
    where div='E0'
group by team
order by Pts desc

Answer 2

由于我对Jeremy Real的回答被拒绝了，所以我发布了自己的回复，同时归功于@JeremyReal（也是赞成）。

with table_a as (
    select Div, date, hometeam team, fthg, ftag, hthg, htag from Matches 
      union all
    select Div, date, awayteam team, ftag, fthg, htag, hthg from Matches 
    ) 
,table_b as (
select * from (
    select a.*
    ,row_number() over (partition by a.Div, a.team order by a.date desc) as row_num
    from table_a a) x
where row_num <= 5)

select 
    Div,
    team, 
    count(*) MP, 
    count(case when fthg > ftag then 1 end) W, 
    count(case when fthg = ftag then 1 end) D, 
    count(case when fthg < ftag then 1 end) L,
    sum(fthg) GF,
    sum(ftag) GA,
    sum(fthg) - sum(ftag) GD,
    sum(case when fthg > ftag then 3 else 0 end + case when fthg = ftag then 1 else 0 end) Pts
    from table_b
    where div='E0' --remove this line to show all divisions.
group by Div, team
order by Div, Pts desc

与Jeremy的回答相比，这为x CTE的子查询添加了别名（table_b）。它还会将Div添加到该子查询中的分区以及主查询中的group by。

我在主要查询中加入Div的想法是，可以是在不同比赛中同名的球队。或者甚至原始数据可能包括“杯赛”比赛以及联赛事件，并且两者不应该混淆。根据您的数据结构，您甚至可能在表中有多个季节的数据，这也需要处理。

SQL Soccer Points Table Last 5 Matches

2 个答案: