Conquer Club

Percentile---------- Score range ---- People ---Percentage of Players
1st interval ---- 3802-3339.5 ---- 4 ---------- 0.02%
2nd interval ---- 3339.4-2877---- 13 --------- 0.06%
3rd interval ---- 2876-2414.5----- 66 -------- 0.32%
4th interval ---- 2414.4-1952----- 375 ------- 1.80%
5th interval ---- 1951-1489.5----- 1945 ------ 9.37%
6th interval ---- 1489-1027------- 7542 ------ 36.34%
7th interval ---- 1026-564.5------ 10689 ----- 51.51%
8th interval ---- 564.5-102--------- 112 ------- 0.54%

As you can see by this cross-categorical, cross referenced, double blind, random, scientific study most people are unhappy with the scoring system. 88.39% to be exact.


(Here is a picture of the Nobel prize I won for this research.)

Just grotesque...but thanks for the info!

haha i'm not just get better :d
Nice research!!. Good job

This is cool, how did you find these stats?

soundout9 wrote:This is cool, how did you find these stats?

I did them myself by reading the scoreboard. Took about 20 minutes of computing.

Kugelblitz22 wrote:

soundout9 wrote:This is cool, how did you find these stats?

I did them myself by reading the scoreboard. Took about 20 minutes of computing.

I'm appalled

I've ALWAYS said that CC needs a way to inject new points into the system, besides just from new members. Otherwise it's just a trade.

It should work more like a poker game, you bet points, so before you start a game, you know what you will loose. Different games can have different "entry fees".

---------> me?

According to your chart, you are a " " which means you could have spent that time working on your play.

The percentile thing....

Can someone explain that? I do not understand...

Kugelblitz22 wrote:Percentile---------- Score range ---- People ---Percentage of Players
1st percentile ---- 3802-3339.5 ---- 4 ---------- 0.02%
2nd percentile ---- 3339.4-2877---- 13 --------- 0.06%
3rd percentile ---- 2876-2414.5----- 66 -------- 0.32%
4th percentile ---- 2414.4-1952----- 375 ------- 1.80%
5th percentile ---- 1951-1489.5----- 1945 ------ 9.37%
6th percentile ---- 1489-1027------- 7542 ------ 36.34%
7th percentile ---- 1026-564.5------ 10689 ----- 51.51%
8th percentile ---- 564.5-102--------- 112 ------- 0.54%

I win a

I think this needs to be approved by Robinette

happy2seeyou wrote:I think this needs to be approved by Robinette

I might believe Robin but, Who cares. Points is points and play is play.

a wise men has spoken

-ShadySoul- wrote:a wise men has spoken

a fool hath quoth!

i hope people realise how flawed as an analysis point the above stats are - it would be fair more accurate to look at scores in terms of standard deviations from the mean or at least do the analysis on the basis of the various ranks.

Its actually impossible to do accurate analysis using just the scoreboard as your data source as the vast majority of members do not appear on the scoreboard as the scoreboard only reflects players that have taken a turn in the last month.

I chose this method of analyzing in a large part because it was the simplest way I could analyze the data when you consider what information is available and how the scoreboard is organized. I agree there are other methods that could be used and ways of describing the data that would be useful.

Players that have not taken a turn in awhile do not show up on the scoreboard. But many of those players also have point totals that were accrued back when newbs who deadbeated lost points. Also newbs could join doubles back then. Not to mention changes to terminator, freestyle a host of new maps and options. So I am not sure we would benefit from comparing those point totals as well. Apples to oranges I say.

I think the largest flaw in my method, (which you failed to hit upon) was that my data compares players who have played a wildly different number of games. The largest single group of players are those who have played only a small number of games, perhaps twenty or less. Inevitably those players will have scores that are still fairly close to 1000, the starting point. This largely explains the fact that so many players scores are grouped around 1000.

When computing the numbers I wish I had the time or the ability to eliminate all those players who had played under twenty games or so. It would have given me the ability to also analyze and compare just the "established" players.

Edit:
Also how many people on this website understand standard deviations?
"Oh, player so and so has a score of SD+1." That means nothing to probably 90% of the players on this site.

Can we get a bell curve graph?

bedub1 wrote:Can we get a bell curve graph?

That would be cool. I suspect this would involve something like photobucket?
(My computer knowledge is somewhat limited.)

I'm pretty good too!

happy2seeyou wrote:I think this needs to be approved by Robinette

hee hee... yes indeed... lucky i happened to be flying over the neighborhood...

You've missed the fundemental concept of Percentiles...
Let me correct this for you:

Percentile---------- Score range ---- People ---Percentage of Players
99.98 percentile ---- 3802-3339.5 ---- 4 ---------- 0.02%
99.9 percentile ---- 3339.4-2877---- 13 --------- 0.06%
99.6 percentile ---- 2876-2414.5----- 66 -------- 0.32%
98th percentile ---- 2414.4-1952----- 375 ------- 1.80%
88th percentile ---- 1951-1489.5----- 1945 ------ 9.37%
52nd percentile ---- 1489-1027------- 7542 ------ 36.34%
1st percentile ---- 1026-564.5------ 10689 ----- 51.51%
below 1 percentile ---- 564.5-102--------- 112 ------- 0.54% total 20746


But this would likely read better this way:

happy2seeyou at 2199 is in the 99th percentile
zip_disk at 1989 is in the 98th percentile
Ronaldo1 at 1535 is in the 90th percentile
SkyCaptain at 1320 is in the 80th percentile
glide at 1184 is in the 70th percentile
? new member at 1000 is in the 47th percentile ?
the lowest private at 900 is in the 18th percentile
the highest cook at 799 is in the 7th percentile

everybody below this rides a different bus... ahhh... the short bus...

earlier i was now i'm just

According to your breakdown, wouldn't happy be in the 98th percentile?

And how can 51.51% of the players be in the 1st percentile?

Of course, it's entirely possible that I have no idea what I'm talking about. It has been a good long while since school, and whatever math knowledge I once possessed that hasn't been erased by time and beer has most likely been overwritten by Borat quotes, advanced escalating strategies, and various other ephemera.

Well, I tried, probably not what you wanted ^.^ but I more then made up for that with a picture




( Yes, I'm bored too )
( and if there's any error, blame humanity )

Catawbain wrote:Well, I tried, probably not what you wanted ^.^ but I more then made up for that with a picture




( Yes, I'm bored too )

LOL, you have a point with the VS model.