Showing posts with label EPL Performance Statistics. Show all posts
Showing posts with label EPL Performance Statistics. Show all posts

May 09, 2016

EPL Teams Performance Statistics GW 38


EPL Teams Statistics

GW 38 ~ 14-15th May 2016

The summary from "The Green Box Count & Expectation" for GW38.
1. Strong chance for goals ~ nil
2. Medium chance for goals ~ Arsenal, Everton, Southampton, West Ham, & Liverpool.
3. Strong chance to get the cleansheet ~ Arsenal, & Manchester United.
4. Medium chance to get the cleansheet ~ Leicester, Spurs, & Watford.
5. Strong chance to win ~ Arsenal, Leicester, Everton, Manchester United, Spurs, & Southampton.
6. Small chance to win or the result will be draw ~ West Ham, Manchester City, Watford, & Liverpool.

May 03, 2016

EPL Teams Performance Statistics GW 37~The Double GW

EPL Teams Statistics

GW 37 - 7-9th May 2016(match 1 to 10)


The summary from "The Green Box Count & Expectation" for GW37.
1. Strong chance for goals ~ nil
2. Medium chance for goals ~ Bournemouth, West Ham, Spurs, & Liverpool.
3. Strong chance to get the cleansheet ~ nil
4. Medium chance to get the cleansheet ~ West Brom & West Ham.
5. Strong chance to win ~ Aston Villa, West Ham, Leicester, Spurs, Liverpool, & Man City.
6. Small chance to win or the result will be draw ~ Man United, West Brom, Crystal Palace, & Chelsea.

April 25, 2016

EPL Teams Performance Statistics GW 36

EPL Teams Statistics

GW 36 - 30th April 2016


The summary from "The Green Box Count & Expectation" for GW36.
1. Strong chance for goals ~ nil
2. Medium chance for goals ~ Everton, Arsenal, & Liverpool.
3. Strong chance to get the cleansheet ~ Arsenal
4. Medium chance to get the cleansheet ~ Stoke, Watford, Man United, & Spurs.
5. Strong chance to win ~ Watford, Arsenal, & Spurs.
6. Small chance to win or the result will be draw ~ Everton, Newcastle, Stoke, West Ham, Liverpool, Man United, & Southampton.

April 20, 2016

EPL Teams Performance Statistics GW 35~The Blank GW

EPL Teams Statistics

GW 35 - 23th April 2016


The summary from "The Green Box Count & Expectation" for GW35.
1. Strong chance for goals ~ Spurs
2. High chance to win ~ Man City, Southampton, Liverpool, Leicester, & Spurs.
3. Small chance to win or the result will be draw ~ Chelsea & Arsenal.
4. Small chance to get the cleansheet ~ Chelsea, Southampton, Liverpool, Leicester, & Spurs.

Blank GW for : Crystal Palace, Everton, Man United, Norwich, Watford, West Ham

April 12, 2016

Highest Chance for Goals in Double GW 34

We will reviewing the chance for goals based on Teams Performance Statistics GW 34 + Double GW. The 2 main stats we will looking at are:
1. S/PG =  Goal scoring per game.
2. Goal Scoring Quality Points
There are no strong stats from goal scoring quality statistics but we will list down the teams that have normal chance for goal. Most of the team below have bean rate only 2 Goal Scoring Quality.
Everton vs Southampton
Match 2
 
 
 
 
 
 
Home
S/PG
B/PG
GDH
GDA
B/PG
S/PG
Away
EVE
29
28
1
-2
15
13
SOU
14
0.88
0.85
2
0
0.45
0.39
7

2
2
1
2
1
0

Manchester United vs Aston Villa
Match 3
 
 
 
 
 
 
Home
S/PG
B/PG
GDH
GDA
B/PG
S/PG
Away
MUN
20
7
13
-22
33
11
AVL
5
0.61
0.21
2
1
1.00
0.33
20

2
0
5
0
5
1


Highest Chance for Cleansheet in Double GW 34

We will list down the EPL teams with the highest chance for Cleansheet by referring to Teams Performance Statistics GW 34 + Double GW. For this review we will looking at 2 main stats:
1. B/PG = Goal conceded per game.
2. Defense Quality Points.


Manchester United vs Aston Villa(H) & Cristal Palace(H)
Match 3
 
 
 
 
 
 
Home
S/PG
B/PG
GDH
GDA
B/PG
S/PG
Away
MUN
20
7
13
-22
33
11
AVL
5
0.61
0.21
2
1
1.00
0.33
20

2
0
5
0
5
1
Match 14
 
 
 
 
 
 
Home
S/PG
B/PG
GDH
GDA
B/PG
S/PG
Away
MUN
20
7
13
-2
20
18
CRY
5
0.61
0.21
1
1
0.61
0.55
16

1
0
3
0
3
1

April 11, 2016

EPL Teams Performance Statistics GW 34 + Double GW

EPL Teams Statistics
Teams Performance Statistics populated by referring to previous home and away matches data. So for next week performance, we can used these data to predict which team will perform better away or home, team that has the highest chances to scores more, and team that has the highest chances to conceded more. So we can easily get the player from that team to our fantasy team. By referring to this table, after comparison, team with more green box has more chance to win the match.
You must refer to Goal Scoring Quality Per Game to select the team that has more chance to scored more goal. By referring to Defense Quality Points, you will get the team with more chance to get cleansheet.

April 05, 2016

EPL Teams Performance Statistics GW 33 + Double GW

EPL Teams Statistics
Teams Performance Statistics populated by referring to previous home and away matches data. So for next week performance, we can used these data to predict which team will perform better away or home, team that has the highest chances to scores more, and team that has the highest chances to conceded more. So we can easily get the player from that team to our fantasy team. By referring to this table, after comparison, team with more green box has more chance to win the match.
You must refer to Goal Scoring Quality Per Game to select the team that has more chance to scored more goal. By referring to Defense Quality Points, you will get the team with more chance to get cleansheet.

March 29, 2016

EPL Teams Performance Statistics GW 32

EPL Teams Statistics
Teams Performance Statistics populated by referring to previous home and away matches data. So for next week performance, we can used these data to predict which team will perform better away or home, team that has the highest chances to scores more, and team that has the highest chances to conceded more. So we can easily get the player from that team to our fantasy team. By referring to this table, after comparison, team with more green box has more chance to win the match.
You must refer to Goal Scoring Quality Per Game to select the team that has more chance to scored more goal. By referring to Defense Quality Points, you will get the team with more chance to get cleansheet.

Captain Ranking GW32-38 : Full Planning to Choose The Best Captain

7 Best Captains for every game week.
GW
32
33
DGW
34
DGW
35
36
37
DGW
38
 
2-4Apr
9-11Apr
14Apr
16-19Apr
20-22Apr
23-26Apr
30-3May
7-9May
10-12May
14-16May
1
Lewandowski
Higuain
Messi
Messi
Higuain
Payet
Higuain
2
Arnoutovic
Ronaldo
Ronaldo
Lewandowski
Lewandowski
Firmino/Coutinho
Lewandowski
3
Giroud/Ozil
Lukaku/Barkley
Martial/Lindgard
Ronaldo
Messi
Lukaku/Barkley
Giroud/Ozil
4
Higuain
Aguero
Giroud/Ozil
H.Kane
Giroud/Ozil
Messi
Lukaku/Barkley
5
Martial/Lindgard
Messi
Higuain
Firmino/Coutinho
Lukaku/Barkley
Ronaldo
Martial/Lindgard
6
Payet
Palle
Firmino/Coutinho
Vardy
Ighalo
Higuain
Messi
7
Messi
Firmino/Coutinho
Lewandowski
Palle
Arnoutovic
Martial/Lindgard
Ronaldo
List of 7 best Captains for every game week based on the Difficulty Table. Player with the best game week match will be on the top of rank. The best EPL player on the list will be a good choice for Official Fantasy Premier League. View the full ranking below

March 14, 2016

EPL Teams Performance Statistics GW 31

EPL Teams Statistics
Teams Performance Statistics populated by referring to previous home and away matches data. So for next week performance, we can used these data to predict which team will perform better away or home, team that has the highest chances to scores more, and team that has the highest chances to conceded more. So we can easily get the player from that team to our fantasy team. By referring to this table, after comparison, team with more green box has more chance to win the match.
You must refer to Goal Scoring Quality Per Game to select the team that has more chance to scored more goal. By referring to Defense Quality Points, you will get the team with more chance to get cleansheet.

March 07, 2016

EPL Teams Performance Statistics GW 30


EPL Teams Statistics
Teams Performance Statistics populated by referring to previous home and away matches data. So for next week performance, we can used these data to predict which team will perform better away or home, team that has the highest chances to scores more, and team that has the highest chances to conceded more. So we can easily get the player from that team to our fantasy team. By referring to this table, after comparison, team with more green box has more chance to win the match.
You must refer to Goal Scoring Quality Per Game to select the team that has more chance to scored more goal. By referring to Defense Quality Points, you will get the team with more chance to get cleansheet.

February 24, 2016

EPL Teams Performance Statistics GW 29

EPL Teams Statistics
Teams Performance Statistics populated by referring to previous home and away matches data. So for next week performance, we can used these data to predict which team will perform better away or home, team that has the highest chances to scores more, and team that has the highest chances to conceded more.

February 16, 2016

EPL Teams Performance Statistics GW 27 & 28

EPL Teams Statistics
Teams Performance Statistics populated by referring to previous home and away matches data.

February 10, 2016

EPL Teams Performance Statistics GW 26

EPL Teams Statistics
Teams Performance Statistics populated by referring to previous home and away matches data.

February 02, 2016

EPL Teams Performance Statistics GW 25

EPL Teams Statistics
Teams Performance Statistics populated by referring to previous home and away matches data.

January 26, 2016

EPL Teams Performance Statistics GW 24

EPL Teams Statistics
Teams Performance Statistics populated by referring to previous home and away matches data.

January 18, 2016

EPL Teams Performance Statistics GW 23

EPL Teams Statistics
Teams Performance Statistics populated by referring to previous home and away matches data.

January 11, 2016

EPL Teams Performance Statistics GW 22


Teams Performance Statistics populated by referring to previous home and away matches data.

January 05, 2016

EPL Teams Performance Statistics GW 21



Teams Performance Statistics populated by referring to previous home and away matches data.