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http://www.filefactory.com/file/ahcc2g6/n/Fouls_xls

Seems like we have an change in our trend

Avg Fouls Winning Team(28 games): 16,36
Avg Fouls Loosing Team(28 games): 14,82
Avg total: 15,59

Avg Fouls Winning against Inside(8 games): 16.75(135 fousl total)
Avg Fouls Loosing against Inside(4 games): 16(64)
Avg vs inside: 16,58

Avg Fouls Winning against Normal(10 games): 17.2(172)
Avg Fouls Loosing against Normal(13 games): 14.15(184)
Avg vs Normal: 15.48

Avg Fouls Winning against Outside(10 games): 15.2(152)
Avg Fouls Loosing against Inside(11 games): 15.18(167)
Avg vs Outside: 15.19

To next week i try to learn a bit more EXCEL/OO Code that i can include those tables into the file ;)

Last edited by CrazyEye at 7/9/2009 6:06:09 AM

http://www.filefactory.com/file/aheg3a8/n/Fouls_xls

with the games tomorrow the study ends because of the changes of the ge, maybe i use the U21 games too and make a lot of stats of it ;)

Actually i only take the main stats:

Winning team 16,6 Fouls per game
Loosing team 15,16 Fouls per game

But zthe loosing team uses much more slow and inside tactics then the winning teams.

Last edited by CrazyEye at 7/19/2009 1:45:31 PM

Sorry i was too late this week for the Asian games those are missing :(

The german word Spiele means games in english, and shows the total numbers of games for this stat. Sorry i am to lazy to change it, and a bit confused when i make this line in german.

OS: Outside Focus(including Princeton)
Inside: inside Focus
Nomal: Normal focus


Winning Teams Loosing Teams

Total Fouls 727 | Total Fouls 684
Spiele 45 | Spiele 45
Fouls AVG 16,16 | Fouls AVG 15,2

Fouls vs Inside 220 | Fouls vs Inside 124
Spiele 14 | Spiele 7
AVG 15,71 | AVG 17,71

Fouls vs Norl 236 | Fouls vs Nor 278
Spiele 14 | Spiele 19
AVG 16,86 | AVG 14,63

Fouls vs OS 271 | Fouls vsOS 282
Spiele 17 | Spiele 19
AVG 15,94 | AVG 14,84

Fouls Same Effort 338 | Fouls same E 343
Spiele 22 | Spiele 22
AVG 15,36 | AVG 15,59

Fouls less Eff 287 | Fouls less E 105
Spiele 17 | Spiele 6
AVG 16,88 | AVG 17,5

Fouls more Eff 102 | Fouls more E 201
Spiele 6 | Spiele 17
AVG 20,4 | AVG 18,27


In the end the difference betwenn good defenciv players and bad one seems to be very small(6% with "huge" differences).

A thing which was a bit confusing, that games with the same Effort(TIE/Normal/CT) seems to have less Fouls then games with different effort. but this could be also misleading through the small sample, but the difference ain't small.

PS: Sorry for the bad formation, i will upload the excel with the formulas soon.

Last edited by CrazyEye at 7/27/2009 10:44:20 AM

Gah, it doesnt show the last post of this thread... never seen it before i only get a white page with no arows no nothing... Hope this post makes the other one visable for me....

i could see it, mayb the "pre" tag destroys it, but i will upload the excel this evening maybe with one/two extra "views" and i could copy my impression also in this post.

did the previous post work now?

And here is the excel:
http://www.filefactory.com/file/ahgb5fc/n/FoulsFinal_xls

Some explanations:

Outside: Opposing team playing outside focus, including princeton
Inside: Opposing team playng with inside focus
Normal: Opposing team plays without a special focus
Pace: how fast the strategy was, i forgot formulas about that so maybe i put them in tommorow
Effort: the effort difference betwenn the team, for example TIE vs CT was -2 when the loosing team play CT or 2 hen the winning team plays ct.
Spiele: Number of games
AVG: Average number of fouls, in the Stats above

i hope i got all?


Last edited by CrazyEye at 7/27/2009 2:48:56 PM

I can see clearly now... thx for all the work