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[SOLVED] Order help


Aravinthan
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Hi,

I am having kinda of an issue.

 

Ok so what I want to do is, show the 8 teams from 1 conference.

SO far so good....

 

Here is the code which does that:

SELECT * FROM teams LEFT JOIN teams_numbers ON teams.team_name = teams_numbers.ProName WHERE teams_numbers.Conference ='Est' AND `divison` != `divison` Order by ((`nhl_wins` *2) + `nhl_ot`) DESC

 

But here is the tricky part, There is 3 division in 1 conference. So what I want is:

The top 3 teams must not be in teh same division.

For exemple:

 

Division 1

Division 2

Division 3

 

 

So for exemple the team with the most points, in division 1 will be placed in the top 3 even if the a team that has more points but is 2nd Division 2.

 

I dont know if I am explaining well...

 

For people who know it, its the same as the NHL way of ranking....

 

Let say there is 15 teams, in 1 conference and 5 teams in each division.

 

Teams(ordered by most points):

 

Team 1 -> Division 1

Team 2 -> Division 2

Team 3 -> Division 2

Team 4 -> Division 3

Team 5 -> Division 1

Team 6 -> Division 2

Team 7 -> Division 1

Team 8 -> Division 3

Team 9 -> Division 2

...

 

 

So the rankings should be:

 

Team 1 -> Division 1

Team 2 -> Division 2

Team 4 -> Division 3 ( Although Team 3 has more points, he cant be third, as there is already a team from division 2 in the top 3)

.. The rest are orderd by points...

 

 

Is there a way of doing this?

 

 

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Hi,

Keith,

Yes I will post the complete standings of my exemple:

Team 1 -> Division 1

Team 2 -> Division 2

Team 4 -> Division 3

Team 3 -> Division 2

Team 5 -> Divison 1

Team 6 -> Division 2

Team 7 -> Division 1

Team 8 -> Division 3

Team 9 -> Division 2

...

 

There is 15 teams in a conference, but you get the idea no?

 

Thanks again for your help,

Ara

 

Fenway,

 

I dont understand what you mean.... How to split the top 3 for the divisions ?

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Hi

 

Been having a bit of a play.

 

This does work to an extent, but will suffer if more than one team has the same "score" in a division.

 

SELECT a.*, (CASE WHEN b.scoreMax IS NULL THEN 1 ELSE 2 END) AS SortFiddle
FROM (SELECT team.*, ((`nhl_wins` *2) + `nhl_ot`) AS scoreMax
FROM teams 
LEFT JOIN teams_numbers ON teams.team_name = teams_numbers.ProName
WHERE teams_numbers.Conference ='Est' 
AND `divison` != `divison` ) a
LEFT OUTER JOIN
(SELECT division, MAX((`nhl_wins` *2) + `nhl_ot`) AS scoreMax
FROM teams 
LEFT JOIN teams_numbers ON teams.team_name = teams_numbers.ProName
WHERE teams_numbers.Conference ='Est' 
AND `divison` != `divison` GROUP BY division ORDER BY scoreMax LIMIT 3) b
ON a.division = b.division
AND a.scoreMax = b.scoreMax
ORDER BY SortFiddle, a.scoreMax

 

Basically does 2 select and joins the results. One select gets the score, the other gets the max score per division but used order by and limit to only select the first 3. Then uses a case statement to set a field to put the top 3 at the top.

 

Might be a typo, but tried it on some crude tables and it works OK. So any typos are from putting it back to your table stuff.

 

All the best

 

Keith

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Hi thanks so much, I got some questions.

 

First:

What do you mean by suffer?  :confused:

Because there is some teams that have the same points...

 

Second:

The Division is a colum in the table team_numbers....

So the code doesnt work...

I tried changing:

SELECT division

To:

SELECT teams_numbers.division

But it returns empy...

 

THanks for your help,

Ara

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Did a few changes and this is what I got so far:

SELECT a.*, (CASE WHEN b.scoreMax IS NULL THEN 1 ELSE 2 END) AS SortFiddle
FROM (SELECT teams.*, ((`nhl_wins` *2) + `nhl_ot`) AS scoreMax
FROM teams 
LEFT JOIN teams_numbers ON teams.team_name = teams_numbers.ProName
WHERE teams_numbers.Conference ='Est' 
AND `divison` != `divison` ) a
LEFT OUTER JOIN
(SELECT division, MAX((`nhl_wins` *2) + `nhl_ot`) AS scoreMax
FROM teams_numbers 
LEFT JOIN teams_numbers ON teams.team_name = teams_numbers.ProName
WHERE teams_numbers.Conference ='Est' 
AND `divison` != `divison` GROUP BY division ORDER BY scoreMax LIMIT 3) b
ON a.division = b.division
AND a.scoreMax = b.scoreMax
ORDER BY SortFiddle, a.scoreMax

But when I run it with Php My Admin

I get this error:

#1066 - Not unique table/alias: 'teams_numbers'

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Hi

 

Think it is the other subselect you need to change (sorry, difficult to test without full tables)

 

SELECT a.*, (CASE WHEN b.scoreMax IS NULL THEN 1 ELSE 2 END) AS SortFiddle

FROM (SELECT team.*, teams_numbers.division, ((`nhl_wins` *2) + `nhl_ot`) AS scoreMax

FROM teams

LEFT JOIN teams_numbers ON teams.team_name = teams_numbers.ProName

WHERE teams_numbers.Conference ='Est'

AND `divison` != `divison` ) a

LEFT OUTER JOIN

(SELECT division, MAX((`nhl_wins` *2) + `nhl_ot`) AS scoreMax

FROM teams

LEFT JOIN teams_numbers ON teams.team_name = teams_numbers.ProName

WHERE teams_numbers.Conference ='Est'

AND `divison` != `divison` GROUP BY division ORDER BY scoreMax LIMIT 3) b

ON a.division = b.division

AND a.scoreMax = b.scoreMax

ORDER BY SortFiddle, a.scoreMax

 

The problem with multiples with the same score, is that if you had 2 teams with the same score which were the the highest score for that division then they would both be in the top 3 (which would now be the top 4).

 

All the best

 

Keith

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Still no good...

 

OK I will explain the Tables:

 

Table: teams

Table has all the statistics about each team.

Wins, loss, points, etc

 

Table: team_numbers

Conference -> Est - Ouest

Division -> The Division names

ProName -> TeamName

 

There is one mistake i saw, its in line 2, where it says Select team, it should teams.

 

I changed that but it doesnt work

 

Error:

#1054 - Unknown column 'teams_numbers.division' in 'field list'

 

And I changed every division to Division

 

But still no good...

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team_numbers:

  `ProName` varchar(100) NOT NULL,
  `Divison` varchar(50) NOT NULL,
  `Conference` varchar(50) NOT NULL,
  `ProAbv` varchar(10) NOT NULL,
  `ProId` int(11) NOT NULL,
  `FarmName` varchar(100) NOT NULL,
  `FarmId` int(11) NOT NULL

INSERT INTO `teams_numbers` (`ProName`, `Divison`, `Conference`, `ProAbv`, `ProId`, `FarmName`, `FarmId`) VALUES
('Anaheim Ducks', 'Pacifique', 'Ouest', 'ANA', 1, 'Iowa Chops', 31),
('Atlanta Thrashers', 'Sud-Est', 'Est', 'ATL', 2, 'Chicago Wolves', 32),
('Boston Bruins', 'Nord-Est', 'Est', 'BOS', 3, 'Providence Bruins', 33),
('Buffalo Sabres', 'Nord-Est', 'Est', 'BUF', 4, 'Portland Pirates', 34),


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Sorry for posting too many at a time,

 

But I fixed the all the typos.

 

And it doesnt give me any errors, but it doesnt give me any result neither.

 

Here is the fixed up code:

SELECT a.*, (CASE WHEN b.scoreMax IS NULL THEN 1 ELSE 2 END) AS SortFiddle
FROM (SELECT teams.*, teams_numbers.Divison, ((`nhl_wins` *2) + `nhl_ot`) AS scoreMax
FROM teams 
LEFT JOIN teams_numbers ON teams.team_name = teams_numbers.ProName
WHERE teams_numbers.Conference ='Est' 
AND `Divison` != `Divison` ) a
LEFT OUTER JOIN
(SELECT Divison, MAX((`nhl_wins` *2) + `nhl_ot`) AS scoreMax
FROM teams
LEFT JOIN teams_numbers ON teams.team_name = teams_numbers.ProName
WHERE teams_numbers.Conference ='Est' 
AND `Divison` != `Divison` GROUP BY Divison ORDER BY scoreMax LIMIT 3) b
ON a.Divison = b.Divison
AND a.scoreMax = b.scoreMax
ORDER BY SortFiddle, a.scoreMax

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Hi

 

No problem. If you can post the declares I will try it.

 

However just noticed that you check `division` != `division`. I thought the 2nd was using quotes rather than back ticks (ie, you were checking that the column division didn't have a value of division), but instead you are checking that the column division is not equal the the column division (which would block anything coming back).

 

All the best

 

Keith

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Oh of course!!!


I will post some values of the teams tables to if you want?

What is a declares?

teams:
`id` int(11) NOT NULL auto_increment,
  `nhl_home_wins` int(5) NOT NULL,
  `nhl_home_loss` int(5) NOT NULL,
  `nhl_home_ties` int(5) NOT NULL,
  `nhl_home_ot` int(5) NOT NULL,
  `nhl_away_wins` int(5) NOT NULL,
  `nhl_away_loss` int(5) NOT NULL,
  `nhl_away_ties` int(5) NOT NULL,
  `nhl_away_ot` int(5) NOT NULL,
  `ahl_home_wins` int(5) NOT NULL,
  `ahl_home_loss` int(5) NOT NULL,
  `ahl_home_ties` int(5) NOT NULL,
  `ahl_home_ot` int(5) NOT NULL,
  `ahl_away_wins` int(5) NOT NULL,
  `ahl_away_loss` int(5) NOT NULL,
  `ahl_away_ties` int(5) NOT NULL,
  `ahl_away_ot` int(5) NOT NULL,
  `nhl_games_played` int(5) NOT NULL,
  `nhl_wins` int(5) NOT NULL,
  `nhl_loss` int(5) NOT NULL,
  `nhl_ot` int(5) NOT NULL,
  `nhl_ties` int(5) NOT NULL,
  `nhl_gf` int(5) NOT NULL,
  `nhl_ga` int(5) NOT NULL,
  `nhl_power_play_chances` int(5) NOT NULL,
  `nhl_pk_situations` int(5) NOT NULL,
  `nhl_ppgf` int(5) NOT NULL,
  `nhl_pp_ga` int(5) NOT NULL,
  `human/cpu_switch` int(5) NOT NULL,
  `playoff_switch` int(5) NOT NULL,
  `unknown_1` int(5) NOT NULL,
  `team_funds` int(5) NOT NULL,
  `team_budgets` int(11) NOT NULL,
  `ahl_games_played` int(5) NOT NULL,
  `ahl_wins` int(5) NOT NULL,
  `ahl_loss` int(5) NOT NULL,
  `ahl_ot` int(5) NOT NULL,
  `ahl_ties` int(5) NOT NULL,
  `ahl_gf` int(5) NOT NULL,
  `ahl_ga` int(5) NOT NULL,
  `ahl_power_play_chances` int(5) NOT NULL,
  `ahl_pk_situations` int(5) NOT NULL,
  `ahl_ppgf` int(5) NOT NULL,
  `ahl_ppga` int(5) NOT NULL,
  `line9` varchar(50) NOT NULL,
  `nhl_last10` varchar(50) NOT NULL,
  `ahl_last10` varchar(50) NOT NULL,
  `gm_name` varchar(50) NOT NULL,
  `line13` varchar(50) NOT NULL,
  `line14` varchar(50) NOT NULL,
  `line15` varchar(50) NOT NULL,
  `line16` varchar(50) NOT NULL,
  `line17` varchar(50) NOT NULL,
  `line18` varchar(50) NOT NULL,
  `line19` varchar(50) NOT NULL,
  `line20` varchar(50) NOT NULL,
  `most_goals` int(5) NOT NULL,
  `most_goals_name(season)` varchar(500) NOT NULL,
  `most_assists` int(5) NOT NULL,
  `most_assists_name(season)` varchar(500) NOT NULL,
  `most_points` int(5) NOT NULL,
  `most_points_name(season)` varchar(5000) NOT NULL,
  `most_rookie_points` int(5) NOT NULL,
  `most_rookie_points_name(season)` varchar(500) NOT NULL,
  `most_penalty` int(5) NOT NULL,
  `most_penalty_name(season)` varchar(500) NOT NULL,
  `stanley_cups` varchar(500) NOT NULL,
  `nhl_starting_goaler` int(5) NOT NULL,
  `nhl_backup_goaler` int(5) NOT NULL,
  `nhl_defense1` int(5) NOT NULL,
  `nhl_defense3` int(5) NOT NULL,
  `nhl_defense5` int(5) NOT NULL,
  `nhl_defense2` int(5) NOT NULL,
  `nhl_defense4` int(5) NOT NULL,
  `nhl_defense6` int(5) NOT NULL,
  `nhl_left_wing1` int(5) NOT NULL,
  `nhl_left_wing2` int(5) NOT NULL,
  `nhl_left_wing3` int(5) NOT NULL,
  `nhl_left_wing4` int(5) NOT NULL,
  `nhl_center1` int(5) NOT NULL,
  `nhl_center2` int(5) NOT NULL,
  `nhl_center3` int(5) NOT NULL,
  `nhl_center4` int(5) NOT NULL,
  `nhl_right_wing1` int(5) NOT NULL,
  `nhl_right_wing2` int(5) NOT NULL,
  `nhl_right_wing3` int(5) NOT NULL,
  `nhl_right_wing4` int(5) NOT NULL,
  `nhl_pp_defense1` int(5) NOT NULL,
  `nhl_pp_defense2` int(5) NOT NULL,
  `nhl_pp_lw1` int(5) NOT NULL,
  `nhl_pp_center1` int(5) NOT NULL,
  `nhl_pp_rw1` int(5) NOT NULL,
  `nhl_pp_defense3` int(5) NOT NULL,
  `nhl_pp_defense4` int(5) NOT NULL,
  `nhl_pp_lw2` int(5) NOT NULL,
  `nhl_pp_center2` int(5) NOT NULL,
  `nhl_pp_rw2` int(5) NOT NULL,
  `nhl_pk_defense1` int(5) NOT NULL,
  `nhl_pk_defense2` int(5) NOT NULL,
  `nhl_pk_forward1` int(5) NOT NULL,
  `nhl_pk_forward2` int(5) NOT NULL,
  `line66` varchar(50) NOT NULL,
  `nhl_pk_defense3` int(5) NOT NULL,
  `nhl_pk_defense4` int(5) NOT NULL,
  `nhl_pk_forward3` int(5) NOT NULL,
  `nhl_pk_forward4` int(5) NOT NULL,
  `line71` varchar(50) NOT NULL,
  `ahl_starting_goaler` int(5) NOT NULL,
  `ahl_backup_goaler` int(5) NOT NULL,
  `ahl_defense1` int(5) NOT NULL,
  `ahl_defense3` int(5) NOT NULL,
  `ahl_defense5` int(5) NOT NULL,
  `ahl_defense2` int(5) NOT NULL,
  `ahl_defense4` int(5) NOT NULL,
  `ahl_defense6` int(5) NOT NULL,
  `ahl_left_wing1` int(5) NOT NULL,
  `ahl_left_wing2` int(5) NOT NULL,
  `ahl_left_wing3` int(5) NOT NULL,
  `ahl_left_wing4` int(5) NOT NULL,
  `ahl_center1` int(5) NOT NULL,
  `ahl_center2` int(5) NOT NULL,
  `ahl_center3` int(5) NOT NULL,
  `ahl_center4` int(5) NOT NULL,
  `ahl_right_wing1` int(5) NOT NULL,
  `ahl_right_wing2` int(5) NOT NULL,
  `ahl_right_wing3` int(5) NOT NULL,
  `ahl_right_wing4` int(5) NOT NULL,
  `ahl_pp_defense1` int(5) NOT NULL,
  `ahl_pp_defense2` int(5) NOT NULL,
  `ahl_pp_lw1` int(5) NOT NULL,
  `ahl_pp_center1` int(5) NOT NULL,
  `ahl_pp_rw1` varchar(50) NOT NULL,
  `ahl_pp_defense3` int(5) NOT NULL,
  `ahl_pp_defense4` int(5) NOT NULL,
  `ahl_pp_lw2` int(5) NOT NULL,
  `ahl_pp_center2` int(5) NOT NULL,
  `ahl_pp_rw2` varchar(50) NOT NULL,
  `ahl_pk_defense1` int(5) NOT NULL,
  `ahl_pk_defense2` int(5) NOT NULL,
  `ahl_pk_forward1` int(5) NOT NULL,
  `ahl_pk_forward2` int(5) NOT NULL,
  `line106` varchar(50) NOT NULL,
  `ahl_pk_defense3` int(5) NOT NULL,
  `ahl_pk_defense4` int(5) NOT NULL,
  `ahl_pk_forward3` int(5) NOT NULL,
  `ahl_pk_forward4` int(5) NOT NULL,
  `line111` varchar(50) NOT NULL,
  `line1_tactics` int(5) NOT NULL,
  `line2_tactics` int(5) NOT NULL,
  `line3_tactics` int(5) NOT NULL,
  `line4_tactics` int(5) NOT NULL,
  `pp1_tactics` int(5) NOT NULL,
  `pp2_tactics` int(5) NOT NULL,
  `pk1_tactics` int(5) NOT NULL,
  `pk2_tactics` int(5) NOT NULL,
  `line113` varchar(100) NOT NULL,
  `line114` varchar(100) NOT NULL,
  `line115` varchar(100) NOT NULL,
  `line116` varchar(100) NOT NULL,
  `line117` varchar(100) NOT NULL,
  `line1_shift` int(5) NOT NULL,
  `line2_shift` int(5) NOT NULL,
  `line3_shift` int(5) NOT NULL,
  `line4_shift` int(5) NOT NULL,
  `pp1_shift` int(5) NOT NULL,
  `pp2_shift` int(5) NOT NULL,
  `pk1_shift` int(5) NOT NULL,
  `pk2_shift` int(5) NOT NULL,
  `line119` varchar(100) NOT NULL,
  `line120` varchar(100) NOT NULL,
  `line121` varchar(100) NOT NULL,
  `line122` varchar(100) NOT NULL,
  `line123` varchar(100) NOT NULL,
  `line124` varchar(100) NOT NULL,
  `line125` varchar(100) NOT NULL,
  `team_name` varchar(400) NOT NULL,
  PRIMARY KEY  (`id`)

INSERT INTO `teams` (`id`, `nhl_home_wins`, `nhl_home_loss`, `nhl_home_ties`, `nhl_home_ot`, `nhl_away_wins`, `nhl_away_loss`, `nhl_away_ties`, `nhl_away_ot`, `ahl_home_wins`, `ahl_home_loss`, `ahl_home_ties`, `ahl_home_ot`, `ahl_away_wins`, `ahl_away_loss`, `ahl_away_ties`, `ahl_away_ot`, `nhl_games_played`, `nhl_wins`, `nhl_loss`, `nhl_ot`, `nhl_ties`, `nhl_gf`, `nhl_ga`, `nhl_power_play_chances`, `nhl_pk_situations`, `nhl_ppgf`, `nhl_pp_ga`, `human/cpu_switch`, `playoff_switch`, `unknown_1`, `team_funds`, `team_budgets`, `ahl_games_played`, `ahl_wins`, `ahl_loss`, `ahl_ot`, `ahl_ties`, `ahl_gf`, `ahl_ga`, `ahl_power_play_chances`, `ahl_pk_situations`, `ahl_ppgf`, `ahl_ppga`, `line9`, `nhl_last10`, `ahl_last10`, `gm_name`, `line13`, `line14`, `line15`, `line16`, `line17`, `line18`, `line19`, `line20`, `most_goals`, `most_goals_name(season)`, `most_assists`, `most_assists_name(season)`, `most_points`, `most_points_name(season)`, `most_rookie_points`, `most_rookie_points_name(season)`, `most_penalty`, `most_penalty_name(season)`, `stanley_cups`, `nhl_starting_goaler`, `nhl_backup_goaler`, `nhl_defense1`, `nhl_defense3`, `nhl_defense5`, `nhl_defense2`, `nhl_defense4`, `nhl_defense6`, `nhl_left_wing1`, `nhl_left_wing2`, `nhl_left_wing3`, `nhl_left_wing4`, `nhl_center1`, `nhl_center2`, `nhl_center3`, `nhl_center4`, `nhl_right_wing1`, `nhl_right_wing2`, `nhl_right_wing3`, `nhl_right_wing4`, `nhl_pp_defense1`, `nhl_pp_defense2`, `nhl_pp_lw1`, `nhl_pp_center1`, `nhl_pp_rw1`, `nhl_pp_defense3`, `nhl_pp_defense4`, `nhl_pp_lw2`, `nhl_pp_center2`, `nhl_pp_rw2`, `nhl_pk_defense1`, `nhl_pk_defense2`, `nhl_pk_forward1`, `nhl_pk_forward2`, `line66`, `nhl_pk_defense3`, `nhl_pk_defense4`, `nhl_pk_forward3`, `nhl_pk_forward4`, `line71`, `ahl_starting_goaler`, `ahl_backup_goaler`, `ahl_defense1`, `ahl_defense3`, `ahl_defense5`, `ahl_defense2`, `ahl_defense4`, `ahl_defense6`, `ahl_left_wing1`, `ahl_left_wing2`, `ahl_left_wing3`, `ahl_left_wing4`, `ahl_center1`, `ahl_center2`, `ahl_center3`, `ahl_center4`, `ahl_right_wing1`, `ahl_right_wing2`, `ahl_right_wing3`, `ahl_right_wing4`, `ahl_pp_defense1`, `ahl_pp_defense2`, `ahl_pp_lw1`, `ahl_pp_center1`, `ahl_pp_rw1`, `ahl_pp_defense3`, `ahl_pp_defense4`, `ahl_pp_lw2`, `ahl_pp_center2`, `ahl_pp_rw2`, `ahl_pk_defense1`, `ahl_pk_defense2`, `ahl_pk_forward1`, `ahl_pk_forward2`, `line106`, `ahl_pk_defense3`, `ahl_pk_defense4`, `ahl_pk_forward3`, `ahl_pk_forward4`, `line111`, `line1_tactics`, `line2_tactics`, `line3_tactics`, `line4_tactics`, `pp1_tactics`, `pp2_tactics`, `pk1_tactics`, `pk2_tactics`, `line113`, `line114`, `line115`, `line116`, `line117`, `line1_shift`, `line2_shift`, `line3_shift`, `line4_shift`, `pp1_shift`, `pp2_shift`, `pk1_shift`, `pk2_shift`, `line119`, `line120`, `line121`, `line122`, `line123`, `line124`, `line125`, `team_name`) VALUES
(1, 11, 4, 0, 2, 10, 9, 0, 1, 10, 2, 4, 1, 5, 10, 5, 0, 37, 21, 13, 3, 0, 88, 84, 123, 109, 24, 24, 1, 1, 10, -878176, 65740834, 37, 15, 12, 1, 9, 78, 70, 92, 86, 16, 12, '22  17  134', 'WWWWWLLLWOWWTLLWWWLWWLTTLOWLWLLLLTWWT', 'LOTWLLTWWWWTLTLWWLWWTTTLWWTWLLLLLTWWW', 'ANA', '263  263  263  977', '133  133  133  0', '1037  1037  1037  929', '230  230  230  0', '0  0  0', '0  0  0', '-20 -20', '-20 -20', 52, 'Teemu Selanne (1997-98)', 62, 'Paul Kariya (1998-99)', 109, 'Teemu Selanne (1996-97)', 39, 'Paul Kariya (1994-95)', 285, 'Todd Ewen (1995-96)', '', 16, 524, 677, 2268, 1766, 623, 725, 2476, 633, 2908, 2841, 1594, 2575, 280, 687, 568, 1042, 1440, 1333, 386, 2268, 623, 633, 2575, 1042, 677, 1766, 1594, 568, 386, 623, 677, 280, 2575, '16', 725, 2476, 2841, 687, '16', 1434, 2974, 851, 396, 975, 2521, 1029, 1609, 684, 2307, 2781, 921, 2375, 139, 700, 2279, 2562, 2212, 3058, 341, 975, 396, 2307, 2375, '2562', 2521, 1029, 2781, 139, '3058', 851, 2521, 684, 341, '1434', 975, 396, 2212, 921, '1434', 1, 1, 4, 3, 0, 1, 4, 3, '1649  0  0  0  0  0  0  0  0  0', '0  0  0  0  0  0  0  0  0  0', '0  0  0  0  0  0  0  0  0  0', '0  0  0  0  0  0  0  0  0  0', '0  0  0  0  0  0  0  0  0  0', 6, 6, 5, 2, 8, 4, 8, 4, '0             0             0             1             2', '0             0             50000         75000         3', '750000        6590000       3             4             5', '0             0             9450000       3300000       0', '-878176        65740834      65', '0             9358817', '623           278', 'Anaheim Ducks'),
(2, 6, 9, 0, 3, 7, 10, 0, 3, 10, 6, 2, 0, 5, 14, 1, 0, 38, 13, 19, 6, 0, 91, 108, 137, 148, 25, 32, 1, 0, 40, 4508780, 52900927, 38, 15, 20, 0, 3, 87, 112, 57, 115, 9, 24, '19  19  100', 'LLLLLWLLLWLTLTLTTLLWLLWWLLWOLWTTLWWWWW', 'LLLLLWLLLLLTLLWWWLWWWWWWWWWLLTLLLWWLTL', 'ATL', '1035  1035  1035  997', '19  19  19  0', '1074  1074  1074  826', '0  0  0  0', '0  0  0', '0  0  0', '-20 -20', '-20 -20', 32, 'Donald Audette (2000-01)', 47, 'Ray Ferraro (2000-01)', 50, 'Ray Ferraro (2000-01)', 27, 'Tomi Kallio (2000-01)', 226, 'Jeff Odgers (2000-01)', '', 3149, 729, 316, 2319, 272, 21, 1587, 1936, 113, 1612, 327, 65, 2725, 636, 616, 2234, 307, 885, 1047, 1796, 316, 1587, 1612, 636, 885, 2319, 1936, 113, 2725, 616, 272, 21, 636, 327, '3149', 2319, 316, 1796, 616, '3149', 1006, 1699, 1662, 1345, 1788, 3124, 3035, 1509, 328, 85, 2998, 3447, 2711, 2829, 3140, 2883, 1142, 25, 2747, 2955, 1662, 3124, 328, 2711, '25', 1509, 3035, 2998, 2829, '1142', 1662, 3124, 85, 2711, '1006', 1788, 1345, 2955, 328, '1006', 1, 1, 4, 3, 0, 1, 4, 3, '0  0  0  0  0  0  0  0  0  0', '0  0  0  0  0  0  0  0  0  0', '0  0  0  0  0  0  0  0  0  0', '0  0  0  0  0  0  0  0  0  0', '0  0  0  0  0  0  0  0  0  0', 7, 6, 5, 2, 8, 4, 8, 4, '0             0             0             1             2', '0             0             50000         75000         2', '400000        6940000       3             4             5', '0             0             9450000       3375000       2', '4508780       52900927      65', '0             8441215', '616           85', 'Atlanta Thrashers'),
(3, 8, 9, 0, 3, 6, 11, 0, 2, 14, 5, 1, 0, 9, 7, 3, 0, 39, 14, 20, 5, 0, 86, 105, 143, 131, 32, 26, 1, 0, 10, -1769414, 59633054, 39, 23, 12, 0, 4, 80, 66, 98, 109, 15, 17, '22  18  102', 'LWLLLLLLWWWOWWWLLLLLWLLTLTWLLWTTWTLTLWL', 'WLWWLTWTWLWWTWWWLWWWLWWWLWLLTLWWWLLWWLW', 'BOS', '1030  1030  1030  1046', '451  451  451  0', '702  702  702  1033', '329  329  329  0', '0  0  0', '0  0  0', '-20 -20', '-20 -20', 76, 'Phil Esposito (1970-71)', 102, 'Bobby Orr (1970-71)', 152, 'Phil Esposito (1970-71)', 102, 'Joe Juneau (1992-93)', 302, 'Jay Miller (1987-88)', '1929, 1939, 1941, 1970, 1972', 747, 1372, 263, 1330, 1757, 712, 2297, 559, 1639, 1285, 563, 2089, 872, 1836, 1754, 185, 93, 2574, 2620, 1726, 263, 712, 1639, 872, 93, 1757, 2297, 1285, 2574, 2089, 263, 712, 185, 2574, '747', 559, 1330, 1285, 1639, '747', 650, 2696, 514, 780, 3039, 347, 2184, 663, 281, 1247, 569, 1236, 1154, 2999, 2147, 58, 3299, 1462, 2662, 3298, 347, 663, 1247, 1154, '3299', 2184, 3039, 281, 58, '2662', 514, 347, 281, 1154, '650', 780, 2184, 1462, 569, '650', 1, 1, 4, 3, 0, 1, 4, 3, '0  0  0  0  0  0  0  0  0  0', '0  0  0  0  0  0  0  0  0  0', '0  0  0  0  0  0  0  0  0  0', '0  0  0  0  0  0  0  0  0  0', '0  0  0  0  0  0  0  0  0  0', 7, 6, 5, 2, 8, 4, 8, 4, '0             0             0             1             2', '0             0             50000         75000         3', '300000        7980000       3             4             5', '0             0             9450000       3450000       2', '-1769414       59633054      65', '0             10726138', '263           58', 'Boston Bruins'),
(4, 13, 4, 0, 3, 7, 9, 0, 2, 9, 10, 1, 0, 4, 13, 1, 0, 38, 20, 13, 5, 0, 98, 103, 132, 125, 26, 28, 1, 1, 40, 7622660, 58255757, 38, 13, 23, 0, 2, 67, 104, 100, 92, 21, 20, '23  19  122', 'WLTWOWOLLLWTLTWLLTWWWWLLLLTWLWTTWWTWLT', 'LLLLLLLLLLWTWTLWWLWLLLLLWWWWLWLLWLWLLW', 'BUF', '635  635  635  647', '840  840  840  0', '408  408  408  1038', '201  201  201  0', '0  0  0', '0  0  0', '-20 -20', '-20 -20', 76, 'Alexander Mogilny (1992-93)', 95, 'Pat LaFontaine (1992-93)', 148, 'Pat LaFontaine (1992-93)', 74, 'Rick Martin (1971-72)', 354, 'Rob Ray (1991-92)', '', 1016, 241, 818, 398, 488, 1584, 2050, 2058, 3489, 7, 2139, 2669, 183, 1795, 793, 661, 2156, 2569, 3478, 834, 818, 2050, 3489, 183, 2156, 2058, 398, 7, 1795, 2569, 1584, 2058, 2139, 793, '1016', 488, 2050, 2569, 661, '1016', 1218, 2689, 653, 2825, 353, 2, 3085, 3024, 2726, 3037, 948, 1557, 3387, 1413, 3011, 3380, 2235, 1480, 3158, 3248, 2825, 3085, 2726, 1413, '1480', 353, 2, 948, 3380, '3158', 653, 2, 2235, 2726, '1218', 353, 2825, 1480, 3248, '1218', 1, 1, 4, 3, 0, 1, 4, 3, '0  0  0  0  0  0  0  0  0  0', '0  0  0  0  0  0  0  0  0  0', '0  0  0  0  0  0  0  0  0  0', '0  0  0  0  0  0  0  0  0  0', '0  0  0  0  0  0  0  0  0  0', 7, 6, 5, 2, 8, 4, 8, 4, '50000         0             0             1             2', '0             0             50000         75000         2', '750000        7110000       3             4             5', '0             0             9450000       3375000       3', '7622660       58255757      65', '584997        12616436', '398           3246', 'Buffalo Sabres'),
(5, 13, 3, 0, 3, 11, 8, 0, 1, 11, 6, 2, 0, 9, 7, 4, 0, 39, 24, 11, 4, 0, 83, 64, 113, 82, 15, 10, 1, 1, 40, 2444478, 66665556, 39, 20, 13, 0, 6, 97, 69, 92, 89, 22, 15, '23  13  156', 'WWWWWWWWWLWWWLWWWLWTWTLWLLLLTWTLLWOWLWT', 'WWLTWWTWWLWWLLLLTTWWLWWLLWWWWLTLLTWLWWW', 'CGY', '792  792  792  502', '465  465  465  0', '187  187  187  17', '642  642  642  0', '0  0  0', '0  0  0', '-20 -20', '-20 -20', 66, 'Lanny McDonald (1982-83)', 82, 'Kent Nilsson (1980-81)', 131, 'Kent Nilsson (1980-81)', 92, 'Joe Nieuwendyk (1987-88)', 375, 'Tim Hunter (1988-89)', '1989', 2222, 674, 79, 3002, 1696, 2003, 2996, 3292, 587, 1416, 1044, 208, 329, 523, 1271, 2566, 120, 1763, 869, 285, 79, 2003, 587, 329, 120, 3292, 3002, 1416, 523, 1763, 79, 1696, 523, 120, '2222', 3292, 3002, 2566, 285, '2222', 2493, 3187, 654, 450, 1433, 555, 174, 3079, 979, 1801, 2964, 809, 1688, 3159, 3360, 2982, 989, 2834, 507, 2770, 555, 174, 979, 1688, '2834', 450, 1433, 1801, 3159, '989', 654, 555, 1688, 809, '2493', 1433, 450, 507, 989, '2493', 1, 1, 4, 3, 0, 1, 4, 3, '0  0  0  0  0  0  0  0  0  0', '0  0  0  0  0  0  0  0  0  0', '0  0  0  0  0  0  0  0  0  0', '0  0  0  0  0  0  0  0  0  0', '0  0  0  0  0  0  0  0  0  0', 7, 6, 5, 2, 8, 4, 8, 4, '0             0             0             1             2', '0             0             50000         0             2', '900000        7290000       3             4             5', '0             0             9450000       3525000       0', '2444478       66665556      65', '0             12662125', '120           809', 'Calgary Flames'),
(6, 13, 6, 0, 1, 12, 5, 0, 2, 13, 7, 0, 0, 2, 17, 0, 0, 39, 25, 11, 3, 0, 103, 80, 120, 95, 24, 13, 1, 1, 0, 3739935, 67838499, 39, 15, 24, 0, 0, 84, 107, 80, 88, 13, 17, '21  19  103', 'WWWWLLLTLWLLWWLWWLOWLWLWWTWWWWWWWTWTWWL', 'LLWLLLLLLLLWLLLLWWWLWWLLWLLWLLWWWLWLLWW', 'CAR', '627  627  627  294', '524  524  524  0', '941  941  941  589', '835  835  835  0', '0  0  0', '0  0  0', '-20 -20', '-20 -20', 56, 'Blaine Stoughton (1979-80)', 69, 'Ron Francis (1989-90', 105, 'Mike Rogers (1980-81)', 72, 'Sylvain Turgeon (1983-84)', 358, 'Torrie Robertson (1985-86)', '', 1580, 2236, 322, 2009, 604, 51, 1768, 154, 1759, 737, 1797, 1454, 1028, 2555, 19, 2605, 454, 302, 273, 2182, 51, 322, 1797, 2555, 454, 2009, 1768, 737, 1028, 302, 322, 604, 2555, 1759, '1580', 154, 1768, 302, 454, '1580', 369, 1401, 6, 1335, 3366, 2006, 2981, 1363, 1640, 515, 2419, 3372, 1530, 2763, 1062, 1856, 2514, 3185, 822, 1328, 6, 2006, 1640, 2763, '822', 1335, 1363, 2419, 1530, '3185', 6, 2981, 1640, 1530, '369', 1335, 2006, 515, 1062, '369', 1, 1, 4, 3, 0, 1, 4, 3, '0  0  0  0  0  0  0  0  0  0', '0  0  0  0  0  0  0  0  0  0', '0  0  0  0  0  0  0  0  0  0', '0  0  0  0  0  0  0  0  0  0', '0  0  0  0  0  0  0  0  0  0', 7, 6, 5, 2, 8, 4, 8, 4, '50000         0             0             1             2', '0             0             50000         75000         2', '600000        7870000       3             4             5', '0             0             9450000       3450000       2', '3739935       67838499      65', '531932        10532255', '454           3185', 'Carolina Hurricanes'),
(7, 8, 6, 0, 2, 5, 15, 0, 2, 12, 2, 2, 0, 5, 10, 5, 2, 38, 13, 21, 4, 0, 86, 112, 135, 157, 21, 29, 1, 0, 10, 7939797, 63187699, 38, 17, 12, 2, 7, 80, 72, 115, 76, 14, 15, '20  15  137', 'WLWLWWLWLOTLLLTLLLTLLWTLTLLWLWLWLLLWWL', 'WTWWWWWLLTOTLWWWWLLOLLTWWLWWTWTLLLWTWL', 'CHI', '999  999  999  1027', '864  864  864  0', '1026  1026  1026  707', '374  374  374  0', '0  0  0', '0  0  0', '-20 -20', '-20 -20', 58, 'Bobby Hull (1968-69)', 87, 'Denis Savard (1987-88)', 131, 'Denis Savard (1987-88)', 90, 'Steve Larmer (1982-83)', 408, 'Mike Peluso (1991-92)', '1934, 1938, 1961', 1937, 2610, 1569, 2292, 1073, 2573, 103, 2827, 1646, 140, 68, 142, 2577, 393, 325, 1845, 502, 2112, 2850, 2126, 2292, 502, 1646, 2577, 2112, 1569, 103, 140, 325, 2850, 2573, 1569, 1845, 68, '1937', 103, 2292, 2126, 502, '1937', 629, 680, 1818, 1405, 47, 1585, 3326, 365, 142, 1892, 1054, 366, 2907, 1308, 1313, 3115, 1810, 2731, 2483, 266, 1818, 47, 142, 1313, '2731', 365, 3326, 366, 1308, '1810', 1585, 1405, 1054, 1892, '629', 1818, 3326, 2483, 142, '629', 1, 1, 4, 3, 0, 1, 4, 3, '0  0  0  0  0  0  0  0  0  0', '0  0  0  0  0  0  0  0  0  0', '0  0  0  0  0  0  0  0  0  0', '0  0  0  0  0  0  0  0  0  0', '0  0  0  0  0  0  0  0  0  0', 7, 6, 5, 2, 8, 4, 8, 4, '0             0             0             1             2', '0             0             50000         0             2', '350000        6750000       3             4             5', '0             0             9450000       3450000       2', '7939797       63187699      65', '0             10810622', '271           1585', 'Chicago Blackhawks'),

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Hi

 

Tried with that data and it does seem to work.

 

Take out the bits that say AND `Divison` != `Divison` (it is preventing it from working, not sure what it is meant to be checking).

 

One thing that is wrong is that the sortFiddle should be sorted DESC instead of ASC.

 

All the best

 

Keith

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