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Some Interesting statistics


ATB

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Today have I put togheter some very intresting fact regarding which player who is playing when we lose, draw and win.

 

I have sum up all our 26 games in the PL so far and this is my results.

 

(games - win% - draw% - lose%)

 

Shay Given 15 - 53% - 20% - 27%

Steve Harper 15 - 13% - 27% - 60%

Pavel Srnicek 2 - 50% - 0% - 50%

 

Stephen Carr 15 - 20% - 27% - 53%

Craig Moore 13 - 15% - 31% - 54%

Steven Taylor 17 - 47% - 18% - 35%

Titus Bramble 11 - 27% - 27% - 45%

Celestine Babayaro 10 - 50% - 10% - 40%

Peter Ramage 19 - 37% - 21% - 42%

Paul Huntington 10 - 50% - 20% - 30%

David Edgar 3 - 0% - 67% - 33%

Oguchi Onyewu 1 - 0% - 0% - 100%

 

Nobby Solano 16 - 38% - 31% - 31%

Emre 17 - 41% - 12% - 47%

Scott Parker 22 - 27% - 27% - 45%

Nicky Butt 21 - 43% - 14% - 43%

Charles N'Zogbia 16 - 25% - 25% - 50%

Damien Duff 15 - 27% - 20% - 53%

James Milner 24 - 42% - 25% - 33%

Matty Pattison 6 - 33% - 17% - 50%

Kieorn Dyer 12 - 42% - 33% - 25%

Alan O`Brien 1 - 0% - 100% - 0%

 

Albert Luque 5 - 40% - 0% - 60%

Shola Ameobi 9 - 22% - 22% - 56%

Obafemi Martins 23 - 39% - 17% - 43%

Giuseppe Rossi 11 - 27% - 18% - 55%

Antonie Sibierski 18 - 44% - 22% - 33%

 

__________________

 

Team overall

 

Games 26

 

Win 35%

draw 23%

Loss 42%

 

 

 

 

I think the stats is really intresting. The players we call shit has very bad stats.

Carr, Moore, Bramble, Duff, Parker is low below the teams winning stat.

 

Players like Butt, Taylor, Given and Sibbe has played verry well this year and has great numbers.

 

Of course is it many factors that can affect the results. But still I think this tell you alot. And especelly Roeder should take a look at this!

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Good work, must have taken a lot of effort.

 

Celestine Babayaro 10 - 50% - 10% - 40%

 

This backs up my claim that we play better with Baba in my team. He has his faults, but we are better going forward when he is on the pitch.

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Problem with the stats though thinking about is that due to numerous simulataneous injuries, they cant prove whether it is down to that individual player being missing, or whether another player being on the pitch is bringing their win-ratio down.

 

Offers more proof for who should play than who shouldn't play in my opinion.

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Problem A

 

Problem with the stats though thinking about is that due to numerous simulataneous injuries, they cant prove whether it is down to that individual player being missing, or whether another player being on the pitch is bringing their win-ratio down.

 

Add to that other confounding variables. Have certain players played more home games? Have certain players played more games against weaker opposition? Have certain players played more when the team istelf was in bad form?

 

Problem B

Winratio: average 29.54 with SD 15.91

Drawratio: average 31.08 with SD 23.24

Lossratio: average 42.23 with SD 17.89

 

Pretty much none of the statistics, other than the ones with very small sample sizes (Oneywu, O'Brien etc.) are outside of two standard deviatons of the mean. Heck, most of them are within one standard deviation of the mean. Now I'll admit my statistics are a bit rusty, but following standard methodology, this means that we don't have sufficient evidence to prove that anything on that table is attributable to anything other than random chance.

 

 

While I admire the effort in collecting the numbers, I don't think this is any more convincing proof that certain players are underpreforming than simply watching them and randomly shouting "HEY, Carr is CRAP!"

 

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I dont need stat's to figure out just who is good enough and who isnt to play for Newcastle United

 

Good for you mate!

 

If you're that sharp, I certainly hope they make you our next manager. Looks like we'll need one pretty soon...

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Guest Darth Toon

Shows how important Given is to the team!

 

(checking again though, the keeper stats must be wrong - you have them playing 32 games between them?)

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With stats as crude as this, defenders in 4-3 victories come out better than those in 0-0 draws, and conversely attackers in 3-4 defeats come out worse than those in a 0-0 draw.

 

Far more relevant IMO are the stats for goals conceeded per game for the defence/midfield, and goals scored per game for the attack/midfield.

 

Here's the defensive stats for league games so far:

 

Player		Mins   Conceed  min/G

Luque		99	1	99.00
N'Zogbia	882	9	98.00
Moore		1123	14	80.21
Babayaro	855	11	77.73
Harper		929	12	77.42
Duff		1220	16	76.25
Bramble		974	13	74.92
Pattison	213	3	71.00
Parker		1827	26	70.27
Carr		1335	19	70.26
Sibierski	1032	15	68.80
Milner		1750	26	67.31
Martins		1873	28	66.89
Ramage		1595	24	66.46
Taylor		1485	23	64.57
Ameobi		636	10	63.60
Given		1317	21	62.71
Edgar		241	4	60.25
Dyer		956	16	59.75
Butt		1422	24	59.25
Emre		1368	24	57.00
Solano		1118	20	55.90
Huntington	815	15	54.33
Srnicek		94	2	47.00
Onyewu		90	2	45.00
O'Brien		90	2	45.00

 

This proves that Harper, Carr, Moore, Bramble, Babayaro is our best defense.  :coolsmiley:

 

However it also shows that we need to play Luque for his defensive abilities  :cheesy:

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