MySQL pivot from two mysql results - mysql

Question

My scenario is... I have 2 type of judges who will give different set of points to members (eg. Judge Type A(55%) and Judge Type B(45%)) Both set of points will sum separately and averaged and then will sum together (which is 100% in total of 2 judges' points). I want to union both results into expected output below.
Table Member
-----------------------------
ID | Name
1 | John
2 | Doe
-----------------------------
Table Judge
-----------------------------
ID | Type | Name
1 | 1 | Judge A
2 | 1 | Judge B
3 | 2 | Judge C
4 | 1 | Judge D
-----------------------------
Table Point
-----------------------------
ID | FK | Judge | Type | Point
1 | 1 | 1 | 1 | 10
2 | 1 | 1 | 2 | 15
3 | 1 | 1 | 3 | 15
4 | 2 | 2 | 1 | 8
5 | 2 | 2 | 2 | 6
6 | 2 | 2 | 3 | 5
7 | 2 | 3 | 4 | 3
8 | 2 | 3 | 5 | 2
9 | 2 | 3 | 6 | 1
10 | 2 | 4 | 1 | 3
11 | 2 | 4 | 2 | 6
12 | 2 | 4 | 3 | 12
-----------------------------
Output Total Points
-----------------------------
ID | Name | Type1 | Type2 | Type3 | Total1 | CountJudge1 | Type4 | Type5 | Type6 | Total2 | CountJudge2
1 | John | 10 | 15 | 15 | 40 | 1 | 0 | 0 | 0 | 0 | 0
2 | Doe | 11 | 12 | 17 | 40 | 2 | 3 | 2 | 1 | 6 | 1
-----------------------------
Expected Output
-----------------------------
ID | Name | Type1 | Type2 | Type3 | Total1 | CountJudge1 | Type4 | Type5 | Type6 | Total2 | CountJudge2 | TotalPoint
1 | John | 10 | 15 | 15 | 40 | 1 | 0 | 0 | 0 | 0 | 0 | 40
2 | Doe | 5.5 | 6 | 8.5 | 20 | 2 | 3 | 2 | 1 | 6 | 1 | 26
-----------------------------
The sql (Output Total Points) that I could do at this moment which is still wrong is below and I can't figure out how to average all types of point and total points.
SELECT m.Name,
COUNT( CASE WHEN j.Type=1 THEN j.ID ELSE 0 END ) AS Judge1,
SUM( CASE WHEN p.Type=1 THEN p.Point ELSE 0 END ) AS Type1,
SUM( CASE WHEN p.Type=2 THEN p.Point ELSE 0 END ) AS Type2,
SUM( CASE WHEN p.Type=3 THEN p.Point ELSE 0 END ) AS Type3,
SUM( p.Score ) AS Total1,
COUNT( CASE WHEN j.Type=2 THEN j.ID ELSE 0 END ) AS Judge2,
SUM( CASE WHEN p.Type=4 THEN p.Point ELSE 0 END ) AS Type4,
SUM( CASE WHEN p.Type=5 THEN p.Point ELSE 0 END ) AS Type5,
SUM( CASE WHEN p.Type=6 THEN p.Point ELSE 0 END ) AS Type6,
SUM( p.Score ) AS Total2
FROM table_point AS p
LEFT JOIN table_member AS m ON ( m.ID = p.FK)
LEFT JOIN table_judge AS j ON ( j.ID = p.Judge )
GROUP BY m.ID
* UPDATE 1 *
I figured out the statement for expected result. However, as data grows bigger, my statement get slower. (250 members, 13 judges, 9750 scores (3 scores per judge per student) takes bout +-6 seconds). When I doubled members and scores, the execution time also doubled. Any idea to optimize this query?
SELECT MemberID, MemberName,
Judge1, Score1, Score2, Score3,
Judge2, Score4, Score5, Score6,
(((Score1 + Score2 + Score3) / (Judge1 / 3)) + ((Score4 + Score5 + Score6) / (Judge2 / 3))) AS TotalScore
FROM
(
SELECT m.ID AS MemberID, m.Name AS MemberName,
COUNT(j1.ID) AS Judge1,
SUM(CASE WHEN p.TypeID=1 THEN p.Point ELSE 0 END) AS Score1,
SUM(CASE WHEN p.TypeID=2 THEN p.Point ELSE 0 END) AS Score2,
SUM(CASE WHEN p.TypeID=3 THEN p.Point ELSE 0 END) AS Score3,
COUNT(j2.ID) AS Judge2,
SUM(CASE WHEN p.TypeID=4 THEN p.Point ELSE 0 END) AS Score4,
SUM(CASE WHEN p.TypeID=5 THEN p.Point ELSE 0 END) AS Score5,
SUM(CASE WHEN p.TypeID=6 THEN p.Point ELSE 0 END) AS Score6
FROM table_point AS p
LEFT JOIN table_member AS m ON ( m.ID = p.FK)
LEFT JOIN table_judge AS j1 ON ( j1.ID = p.Judge AND j1.Type=1 )
LEFT JOIN table_judge AS j2 ON ( j2.ID = p.Judge AND j2.Type=2 )
GROUP BY m.ID
) as tbl1
ORDER BY TotalScore DESC