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Crunching The Numbers (i) – sKore And The Premier League
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Crunching The Numbers (i) – sKore And The Premier League

Let’s look at some data now that we are getting some initial sKore values for CTP Teams players.

For this post I decided to take a snapshot of the top three teams in the Premier League and run some numbers based on the sKore data for each member of the team.

At the time of writing this post the top three teams in the Premier League were SurfAholics Alpha (1), Lucky 13 (2) and Uber Surfers (3).

I decided to look at their individual sKore values and then see what the mean, mode, median and range of numbers looked like, just by way of comparison amongst the three teams.

The mean is the average value for the data set, the mode is the most frequently occurring value, the median is the middle value when the numbers are arranged in numerical order and the range is the difference between the lowest and highest number values.

So here is how the top three teams looked based on data collected yesterday (tue).

 SurfAholics Alpha

Total numbers: 24
Sum of numbers: 982
Mean (Average): 40.9166666667
Median: 43
Mode: 26
Range: 52
Ascending order: 17, 21, 26, 26, 26, 29, 32, 33, 36, 38, 39, 43, 43, 44, 44, 45, 46, 46, 48, 49, 56, 59, 67, 69

 Lucky 13

Total numbers: 24
Sum of numbers: 828
Mean (Average): 34.5
Median: 35
Mode: 42, 30
Range: 68
Ascending order: 0, 16, 17, 20, 26, 28, 28, 29, 30, 30, 30, 35, 35, 39, 39, 40, 41, 42, 42, 42, 43, 43, 65, 68

 Uber Surfers

Total numbers: 25
Sum of numbers: 584
Mean (Average): 23.36
Median: 23
Mode: 0, 39, 11, 17, 24, 36, 30
Range: 46
Ascending order: 0, 0, 2, 4, 11, 11, 12, 17, 17, 19, 20, 22, 23, 24, 24, 30, 30, 36, 36, 38, 39, 39, 41, 43, 46

Numbers can provide data and, as ever it is knowing what to discard and what to rely on and spend time interpreting that is key to making the best use of the numbers in question.

Coming up…we look at the top three teams in the Competitive League and present the data in the same way.

19 responses to “Crunching The Numbers (i) – sKore And The Premier League”

  1. […] The top three times right now are Empower World Team (1), Hunters (2) and Dream Team in third place and this is how their sKores look when totaled up and averaged out in the same way as before for the top three Premier League teams. […]

  2. Very interesting numbers.
    But… What does it mean…
    Low sKorers can have good xp numbers while in the competition xp’s matter.
    Maybe you need to make a comperison based on XP per skore

  3. Charlotte says:

    A presentation of how the sKore is calculated would be interesting to see….

  4. steven schofield says:

    What does it mean ,this skore score would been interested in seeing how it all works.

  5. Stephen Whittle says:

    Agreed — would love to learn about how sKore is derived….

  6. Lynn M says:

    I don’t even begin to pretend to understand these numbers, will leave that to our Lucky 13 experts, Tom and Boris the Math Whiz, to figure out. Heh.

  7. Great stuff …cool to compare and see 🙂

  8. Tom Wacker says:

    The numbers are relative, and Tim’s top secret algorithm is not of particular interest to me.

    It does seem there is a predictor of performance here. Average (mean) number seems to be consistently right, doesn’t it?

    I’ve said it before. More data = better decisions. This is serious data to consider.

  9. Sig says:

    hmm..a lot of numbers 🙂

  10. Glenn Witmer says:

    My skore went up one from 33 yesterday to 34 today…did I earn a skore candy bar??

  11. Karen Kuty says:

    Interesting–my Skore seems to fluctuate with how much I nerdsurf…

  12. I can hear the cookies crumbing right now with all that crunching

  13. Ken Wolff says:

    Click on my name and then click-through to see what you need to learn. ;-). I am changing my strategy for a while to see if I can crunch some more numbers and come up with a better sKore.

  14. “Numbers can provide data and, as ever it is knowing what to discard and what to rely on and spend time interpreting that is key to making the best use of the numbers in question.”

    That’s pretty much what I said in my post on the other stats blog. It’s all in the interpretation which may not be as scientific as we’d like to think.

  15. Raj G says:

    .

    another comparison tool…!!!

    .

  16. Elizabeth says:

    Another tool for us to use.

  17. Patricia Dean says:

    Greek to me.

  18. very very interesting chart.

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