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Who's in...
masterDD wrote
at 6:14 PM, Monday January 25, 2010 EST
for "Most Kills This Month" competition next month?

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Gurgi wrote
at 4:53 PM, Wednesday January 27, 2010 EST
1.04 dr. zoidberg 69
1.04 Gurgi

why is he first?
Vollhart wrote
at 4:59 PM, Wednesday January 27, 2010 EST
I think i kinda started this killing thing, when i went for it Aug. 08.

so i kinda think a Kills per Game (with at least 50 Played games and a +PPG would be cool..
Thats just my 2 cents as The beginner of the kills in a month competition
Vollhart wrote
at 5:00 PM, Wednesday January 27, 2010 EST
)
Gurgi wrote
at 5:46 PM, Wednesday January 27, 2010 EST
its only lame when people ONLY go for kills and dont care about if they dont lose points and stay at low tables all month
Gurgi wrote
at 5:47 PM, Wednesday January 27, 2010 EST
but yea im still not in
masterDD wrote
at 5:47 PM, Wednesday January 27, 2010 EST
well my formula beats that problem
detenmile wrote
at 6:02 PM, Wednesday January 27, 2010 EST
Skrum, my problem with stats per root game is that it still favors playing lots of games.

example 200 kills in 100 games gets the same score as 400 kills in 400 games. but after 100 games it seems pretty evident that the player with 2kpg is the better killer.
its really chase wrote
at 6:26 PM, Wednesday January 27, 2010 EST
actually im pretty sure at one point, les was in first place in points and in kills
masterDD wrote
at 6:38 PM, Wednesday January 27, 2010 EST
not true...we are obviously still alive and the world still revolves around sun.
skrumgaer wrote
at 10:12 AM, Thursday January 28, 2010 EST
masterDD

The point about the number of games is how to compare players who have different number of games. For example, how would we compare home run hitters today with Mantle, Maris, and the others who were big home run hitters back in the days when there were fewer games in the season?

We would expect home run hitters of the same skill to have a distribution of home runs hit that would approach a normal distribution with a mean proportional to games played and a variance proportional to games played, so the standard deviation would go as the square root of games played. The standard deviation is the measure by which performances are compared. So scale players with different number of games to the square root of the number of games, then the standard deviations would be comparable.
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