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Is there any way to view spread of goalkickers per game or per team, and even sort by how many players from team A kicked at least X goals in a game? Am interested primarily in looking at Port's spread of goalkickers in a game across the last few years.
 
If I'm reading you right, how many different goals kickers in a match? Here's a simple table, making the columns line up is no trivial task apparently.
Code:
2006      8  8  7  8  9  6  8  7  13  11  14  9  7  6  7  7  5  6  11  8  8  8
2007      10  8  7  7  9  6  10  8  7  7  9  9  9  9  10  10  9  5  10  8  7  7  9  11  4
2008      9  6  6  12  9  8  12  8  6  8  7  4  11  8  7  5  7  10  7  8  9  12
2009      8  6  13  8  4  7  11  8  7  9  11  6  7  11  10  9  7  9  8  6  8  6
2010      9  7  7  7  4  8  9  10  11  3  6  8  5  6  6  5  5  8  6  6  9  10
2011      6  9  5  8  10  6  9  7  10  8  5  11  9  6  6  8  6  2  5  8  7  10
2012      9  8  7  8  6  6  5  8  11  9  6  5  6  5  6  8  5  7  8  5  10  9
2013      11  11  8  6
 

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If I'm reading you right, how many different goals kickers in a match? Here's a simple table, making the columns line up is no trivial task apparently.
Code:
2006      8  8  7  8  9  6  8  7  13  11  14  9  7  6  7  7  5  6  11  8  8  8
2007      10  8  7  7  9  6  10  8  7  7  9  9  9  9  10  10  9  5  10  8  7  7  9  11  4
2008      9  6  6  12  9  8  12  8  6  8  7  4  11  8  7  5  7  10  7  8  9  12
2009      8  6  13  8  4  7  11  8  7  9  11  6  7  11  10  9  7  9  8  6  8  6
2010      9  7  7  7  4  8  9  10  11  3  6  8  5  6  6  5  5  8  6  6  9  10
2011      6  9  5  8  10  6  9  7  10  8  5  11  9  6  6  8  6  2  5  8  7  10
2012      9  8  7  8  6  6  5  8  11  9  6  5  6  5  6  8  5  7  8  5  10  9
2013      11  11  8  6
I use the TABLE function these days, so much easier to get alignment because spaces are never needed.

Year | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25
\ 2006 | 8 | 8 | 7 | 8 | 9 | 6 | 8 | 7 | 13 | 11 | 14 | 9 | 7 | 6 | 7 | 7 | 5 | 6 | 11 | 8 | 8 | 8 | | |
\ 2007 | 10 | 8 | 7 | 7 | 9 | 6 | 10 | 8 | 7 | 7 | 9 | 9 | 9 | 9 | 10 | 10 | 9 | 5 | 10 | 8 | 7 | 7 | 9 | 11 | 4
\ 2008 | 9 | 6 | 6 | 12 | 9 | 8 | 12 | 8 | 6 | 8 | 7 | 4 | 11 | 8 | 7 | 5 | 7 | 10 | 7 | 8 | 9 | 12 | | |
\ 2009 | 8 | 6 | 13 | 8 | 4 | 7 | 11 | 8 | 7 | 9 | 11 | 6 | 7 | 11 | 10 | 9 | 7 | 9 | 8 | 6 | 8 | 6 | | |
\ 2010 | 9 | 7 | 7 | 7 | 4 | 8 | 9 | 10 | 11 | 3 | 6 | 8 | 5 | 6 | 6 | 5 | 5 | 8 | 6 | 6 | 9 | 10 | | |
\ 2011 | 6 | 9 | 5 | 8 | 10 | 6 | 9 | 7 | 10 | 8 | 5 | 11 | 9 | 6 | 6 | 8 | 6 | 2 | 5 | 8 | 7 | 10 | | |
\ 2012 | 9 | 8 | 7 | 8 | 6 | 6 | 5 | 8 | 11 | 9 | 6 | 5 | 6 | 5 | 6 | 8 | 5 | 7 | 8 | 5 | 10 | 9 | | |
\ 2013 | 11 | 11 | 8 | 6 | | | | | | | | | | | | | | | | | | | | |
 
I use the TABLE function these days, so much easier to get alignment because spaces are never needed.

Awesome, thanks guys. Is there an easy way to get and filter this information. I.e. if I wanted information on how many players in each match kicked multiple goals, or if we've had matches where more than 1 person has kicked 5 goals?
 
Port goalkickers

Season|Goals|R1|R2|R3|R4|R5|R6|R7|R8|R9|R10|R11|R12|R13|R14|R15|R16|R17|R18|R19|R20|R21|R22|R23|R24|EF|QF|SF|PF|GF
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\|2|4|0|2|2|2|5|1|3|0|4|0|2|2|1|0|4|2|1|2|3|2|4|-|-|-|-|-|-|-
\|1|5|8|5|3|1|2|3|5|3|6|1|2|3|4|3|5|3|6|2|3|1|4|-|-|-|-|-|-|-
\|0|12|13|12|15|17|12|16|12|16|11|19|15|15|14|16|11|14|13|16|14|17|13|-|-|-|-|-|-|-
 
I hadn't thought of arranging it the above way Ron. I've made a (rather convoluted) spreadsheet now where I can get info on multiple goalkickers, and info such as how many matches where at least X players kicked at least Y goals, as well as other basic stats of instances of min/max goalkicking efficiency etc. The spreadsheet is a bit over 11 Mb, so I won't upload unless someone particularly wants it. It's currently set up for Port Adelaide stats, but if you have worked with Excel a little before, it wouldn't be hard to convert to other teams.
Thanks for the initial help *Paul* and SJ.
 
I hadn't thought of arranging it the above way Ron. I've made a (rather convoluted) spreadsheet now where I can get info on multiple goalkickers, and info such as how many matches where at least X players kicked at least Y goals, as well as other basic stats of instances of min/max goalkicking efficiency etc. The spreadsheet is a bit over 11 Mb, so I won't upload unless someone particularly wants it. It's currently set up for Port Adelaide stats, but if you have worked with Excel a little before, it wouldn't be hard to convert to other teams.
Thanks for the initial help *Paul* and SJ.

Yep it doesn't lend itself well to two dimensions and is probably suited to an Excel pivot table.
 

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Heh, so they are. Didn't change anything, must've always been like that and no one noticed. Anyway, a bit of a tweak, and fingers crossed.

Might try and get the ages to sort properly as well, a bit trickier though.
 
*Paul*

There is something weird on this page with the top 10 lists

http://stats.rleague.com/afl/stats/players/A/Aaron_Rogers.html

I hate being a pain on things like that cause that guy is pretty irrelevant but i also know how meticulous you guys are with your data. And if you're wondering how on earth I ended up on his page it's cause I played against him in juniors and was curious as to how many games he ended up playing
 
It is weird, as other one and two gamers are fine.. usually if something has screwed up it will muck about with everyone. Anyway, I will get on it when time permits.
 
i saw them somewhere earlierr this year but can't 100% remember where. i think i was reading melbourne's herald sun, but why would they not have that stat on their web-site if they have it in their hard copy newspaper??
 
Anyone know where you can get the stats for win% when kicking over 100points in a game.

I can't remember the exact number but the winning percentage for the first team to kick 100 points in a game was in the 90s.
This fact makes it all the more humorous that we won the second showdown last year when the Crows were the first to reach 100 :D
 
Anyone know where you can get the stats for win% when kicking over 100points in a game.

Here:

All matches 1897-2013: Teams scoring over 100 points (101 onwards) have won 84.6% of the matches.
Figures depend on levels of scoring in any era and percentage of really weak teams in a season - in 1982 they won 68.2% in 1952 they won 95.2%.

1956-1968: They won 93.9%
1982-1994: They won 77.66%
2001-2013: They won 87.5%
2012: They won 93.3%
2013: They won 87.6%
 

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