Tetris DS rating collection

Thread in 'Discussion' started by Xkeeper, 15 May 2006.

  1. Copied from the Nintendo forums, more likely to work here since I'm assuming you aren't all 13-year-olds =P


     
  2. from start to finish.


    7714 7547

    7724 7535

    7734 7523

    7743 7512

    7752 7501

    7761 7490

    7732 7526

    7741 7515

    7750 7504

    7759 7493

    7766 7484

    7774 7474

    7781 7465

    7749 7506

    7757 7495

    *forgot to write down score-- was a win (maybe 7772 to something)

    7780 7466

    7787 7457

    7794 7447

    7800 7439

    7807 7430

    7813 7422

    7818 7414

    7824 7405

    7830 7397

    player leaves



    7830 1310 (whoops, i wrote down his wins instead of rating-- sorry)

    7807 7663

    7785 7687

    7765 7709

    7747 7727

    7743 7731

    7746 7728

    player leaves


    weird games-- like i was watching him towards the end, and his pieces were going through garbage and stuff, especially at the top of his stack. maybe lag or something?


    *game started before i could write ratings down

    7766 7834

    player leaves


    7766 7671

    7777 7659

    7788 7647

    7767 7670

    7779 7658

    player leaves

    this is the same guy as before (the weird games).


    7779 7256

    7783 7248

    7788 7241

    7793 7233

    7798 7226

    7803 7218

    7808 7210

    7756 7289

    7761 7282

    7766 7275

    7771 7267

    7776 7260

    player leaves


    7776 7587

    7785 7577

    7793 7566

    7802 7556

    7809 7549

    *i leave (once again the weird games guy-- weird stuff was beginning to happen, so i decided this would make a good stopping point).


    hope you can use it, despite those couple of goofs i made.
     
  3. Nick15

    Nick15 Unregistered

    I purposefully decimated my own Wifi rating. Mostly for kicks, but I suppose getting a collection of losing stats might prove useful as well.


    MINE OPPONENTS

    ???? ???? *(I forgot to write down the initial rating for this match)

    7090 6740

    7047 6792

    7010 6835

    6976 6872

    6944 6906

    6913 6937

    6884 6965

    6884


    6884 6485

    6835 6545

    6792 6595

    6753 6638

    6715 6677

    6715


    6715 6031

    6647 6127

    6587 6204

    6587


    6587 6204

    6533 6268

    6533


    6533 5098

    6418 5310

    6323 5464

    6240 5584

    6164 5685

    6194 5647

    6194


    6194 5288

    6105 5418

    6027 5520

    5955 5609

    5889 5685

    5930 5637

    5930


    5930 5863

    5976 5918

    5824 5967

    5824
     

  4. OMG I've corrupted you.


    (Yes, I was that opponent you played.)
     
  5. Here are some 5000-rating stats. Sorry I didn't collect more...after this I spent quite a while trying to get into a 5000 vs. 5000 game. (I failed, but the rating change for the winner would probably be 72 or 73.)


    5000 6108

    5157 6007

    5283 5918

    5386 5837

    5337 5876

    5294 5910

    5249 5943

    5209 5971

    5169 6000

    5127 6027

    5092 6051

    5055 6074

    5018 6097

    4982 6120

    4982
     
  6. Here's some more. Some of this stuff is really screwy, and if I hadn't been collecting it myself, I'd swear it was bogus.


    5000 5316

    5085 5238

    5163 5163

    5232 5092

    5157 5169

    5085 5238

    5018 5299

    4957 5354

    4957


    5000 4386

    5049 4348

    5098 4311

    5139 4279

    5139


    5000 5854

    5127 5762

    5232 5680

    5232


    5000 5614

    5110 5525

    5203 5444

    5203


    5000 4652

    5061 4598

    5061



    I was trying to win a few, then lose my way back to 5000 to collect data on wins and losses (and to avoid screwing up people's ratings), but most people leave after the first couple wins. [​IMG]
     
  7. Nick15

    Nick15 Unregistered


    I played you last night? I didn't play you, did I?
     
  8. Not last night... Maybe 2 weeks ago or so?


    I had a higher rating than you, and we played a few games. Eventually I just sort of threw every game as fast as I could. Until you quit. It was a social experiment to see if you were playing for Tetris, or playing for rating points. I don't think you took more than about 5 free wins.


    Such an opponent was not memorable?
     
  9. Nick15

    Nick15 Unregistered

    Ahhh OK, now I remember. It actually happened to me twice, though I'm willing to bet both times were you. At first I though you were off your rocker there, or you were pissed off at losing or something... I thought maybe if I held out for a little bit, you'd snap back to normal. After, well, five games, you didn't, so I left.


    Anyways, that's what I did to sabotage my rating, and I got the idea from you. So I suppose you did corrupt me. [​IMG]

    Another reason why I sabotaged my rating was that, since I've already proven to myself (and a few others) that I'm a fairly OK Tetris player, I thought I'd do a little shit disturbing by dropping my score, then kicking the crap out of higher ranked players. I can only imagine the kind of panic gripping their soul when they lose like 500 points after playing me. [​IMG]
     
  10. Sully

    Sully Unregistered

    XKeeper- are you still collecting info? Haven't seen you around lately.
     
  11. I believe he's on vacation for the next while. I think he wouldn't mind more data waiting for him when he returns though. [​IMG]
     
  12. jjdb210

    jjdb210 Unregistered

    In order to help XKeeper get this data faster, as well as hopefully make it easier to keep track of... Blockstats has added a tool to the members section to record this sort of data. It will feature Xkeeper's graph shortly, but the mean time, we can use it to start collecting data. I'm going to try to import as much as I can into the table, hopefully at some point, we can figure out exactly what the formula is (even if it's not really a formula and just a pairing of most of the combos between 3000 and 9000, ok so that's harder to do but eh...)


    Let me know if you think anything can be done to make it better.
     
  13. Guest

    Guest Unregistered

    There most likely is a formula combined with logistics and range factors. This is similar to how chess rating systems work (i.e. Elo). I have gone through the data myself using these simple logistics and I have gotten values that are very similar. However, it does not remain consistent over different groups of data which suggest various factors (or methods of adding factors) are used depending on the point different between two players, the rating of the player, etc.


    I have done a lot of analysis and have found, so far, the following (some of these may be obvious, and assume the general logistical model is used with a similar system as in chess which is most likely what it is based around):


    1) When the players are closer together, this factor appears to be lower then when they are further apart.

    2) The higher-rated player generally tends to take on a higher factor then the lower-rated player.

    3) The relationship between the difference in the players ratings before playing the game appears to be fairly linear. However, as this approaches 0, it becomes more non-linear suggesting logistics and the possibility of an exponential function within (as was used in the general logistical model to approximate an expected win). There is a slight curvature to this line which may make it very difficult to figure out.

    3) The relationship in the summation of the two players differences of rating change for the game appears to be approximately linear too. However, form the data I have, it is difficult to tell, but it appears to become very non-linear as it approaches zero. As with the previous relationship, there does not appear to be a complete linear regression within the curve which will could make it very difficult to find a suitable equation without guessing or making an approximation.

    4) There appears to be a clear relatioship between the two previously mention curves (from 3 and 4). As one decreases, the other also appears to decreas. This just means that the closer the two players are together in rating, the smaller the difference will be between gained and lost points (taken as an absolute value to find the magnitude as negative values are not significant in this situation).

    5) As the two players increase in rating (or as their total rating (P1 + P2) inscreases), while still close together, it appears that the absolute value of the overall points |won + lost| approaches zero. This would state that at high ratings (both players at about ~7500+, and close together) there are no net loss of points.


    This is all that I have found so far that seems to comply with all of my compiled data. If anyone else wants to post their data I'll look at it. I am really bored. LOL. Also, there are a couple data points in some of the data which are very odd and I can't even figure out why they do what they do. I just hope that XKeeper has more luck then me. It seems that my Mechanical Engineering labs had us finding similar patterns to this one, but most of them have approximations which are much easier to see when graphed then this.


    Cheers
     
  14. Guest

    Guest Unregistered

    In my previous post there, you may notice that my numbers are a little out of order. That second 3 should actually be a 4, the 4 a 5, etc... Sorry about that.
     

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