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Ah, but Ziryab, there are other ways of a player dying during the game, and they are not all neccessarily accidental!
solskytz, If you are interested the best solution I've ever thought of is to use a present-day Fritz-style engine, but combine it with a "lost-position-check" against a database of all lost positions. That way you would have a computer which was "perfect" in the sense that it would never lose, but also played good moves consistently.
1300s can expect to win 0.000003467892% of their games against 2700s because that is how often heart attacks kill one player during competition.
Got to divide that by 2, cause half the time it will be the 1300 expiring
Sounds like a great idea.
Of course the computer which will store the database containing all possible lost positions in chess, at today greatly minimized memory storage sizes, will have to be about the size of a couple of average galaxies, but that's a small matter...
Of course we're not going to discuss here the manpower and computing power necessary to actually built the algorithm proving for each of these positions that they are actually lost with perfectly best play from both sides... nothing that a 3600 player couldn't easily manage in his sleep, I'm sure... :-)
Amen to That. Thanks @Kingpatzer. Always a pleasure to read your posts.
Just for the record, I think 'perfect play' requires even more than knowing the result of any given position with best play. I would assume the perfect player not only to know that, but also to be able to assess the odds of his opponent to choose this or that move in any given position. This way, the 'perfect player' would be able to create maximum problems for any given opponent and reduce his drawing chances to the minimum
Beck15 - i don't disagree with your point. I simply am reporting what the mathematical model upon which the ELO rating system is constructed says the score can be expected to be.But as you note, that isn't the whole story. There is also the question of how much confidence one can have that in a run of 10,000 games the 1300 player will score any wins or draws at all. That is a different question than what the expected outcome is. And if you go through that calculation, you'll find that the confidence interval here would be highly skewed to the GM no matter what the sample size one uses precisely because the probability of any one trial, let alone more than one, having any non-wins for the higher rated player is so small.
Also elo-model has been designed with the idea of playing many different people - the level of confidence probably decreases at the extremes...
And if you go through that calculation, you'll find that the confidence interval here would be highly skewed to the GM no matter what the sample size one uses precisely because the probability of any one trial, let alone more than one, having any non-wins for the higher rated player is so small.
Precisely. And people cannot argue about human factors such as blunders and fatigue, etc while talking about ratings because the rating formula does not encorporate such variables. However, people still tend to.
This is interesting in thoeretical means, but realistically, any 1300 level player that plays 10,000 games will end up learning from it, and in theory, figure out via process of elimination how to draw a certain line. Of course, if you had two computers playing between 1300 and 2600 strength, the computer 2600 should win 100% of the time. Human error muddles this whole concept though.
hicetnunc: That's an interesting take, but most people file that off to its own unique definition.
I think you would, then, need not only chess skills, but also mind-reading skills :)
Actually, rating often does incorporate such things. Rating doesn't care why you lose, it simply cares that you lose (or draw, or win). If you lose because you were tired, that's a loss, and it's going to count towards your rating if you're playing in a rated tournament. In that case, being tired caused a decrease in rating.
Of course, this only applies when a variable creates a result that wouldn't have otherwise happened. An example of when you probably wouldn't see the effect of fatigue in rating change would be if you played someone 800 points lower rated; most likely, you would win no matter what happened.
Nonetheless, in competitions between players of closer strength, such factors could very well be what the result depends on; thus, rating would reflect such factors then.
Guys, there is a probability that a random chess move generator (or a person making random moves) will win which is greater than zero. That player should be spending that luck on the lottery rather than on chess, because the probability of me winning against a 2700 with random moves is less than the probability of me winning the lottery jackpot 16 times in a row. That would mean winning enough times to make you a billionaire.
Before everyone jumps on this, there is a concept known as statistical zero, which is 10^-50. Your odds of winning a chess game against a 2700 with random moves is lower than that. The chances of winning a chess game against a 2700 are below statistical zero, so a 1300's probability of beating a 2700 is 0.
About a month ago (and I wish I would have wrote the move order down), I played a OTB game against a friend of mine that began as a Petroff, then quickly went into a Four Knights Italian Game. Play went about 14 moves with neither side being able to claim an advantage. However, once my opponent played his 15th move, I decided to play a "quiet" move of Kh8. My friend then played 3 moves (Ne1, f4, and Nf3) and on the Nf3 move, I played Kg8. Though it took a bit to get into this position, this was the ending on the board:
Neither one of us thought anything about those 2 King moves but it got me my first win against a former 2100+ rated player that still plays regularly though not in tournaments anymore. I on the other hand have never been rated nor played in any tournaments. The point is, aside from a means to jockey everyone behind Anand and Carlson, ratings are not a surefire indicator of a persons playing level as anyone can lose to anyone at any time.
It seems to me that this concept of statistical zero is pretty arbitrary. In any case, 10^-50 is not the same number as "0." You can probably treat the two exactly the same and not run into any problems, but that doesn't mean they are the same number.
Yes, rating does not care why your result was what it was. While the result itself might have everything to do with the mood, temperament, mental acquity, luck, yada yada of the player at any given time, the rating itself does not. And for a strong, established player, the rating will more or less stabilize around a certain value. The formula for rating has no such variable where you 'plug in' the likeliness of a player suffering from fatigue, their tendency to blunder, or their chance of being lucky. The rating is what it is, it's an estimate of a player's chess strength when the result of a game comes in.
That is why in one of my earlier posts, I suggested that two computers play against each other (belle, rated 2350, and houdini, rated 3350).
That may be so, Vengeance. But on the forum of a chess website we have to stroke the egos of chess intellectuals, and that means the only acceptable opinion is that the high rated chess player can never lose, because of his inate superiority. NEVER LOSE!
Against a 2700, the 2100 will score less than 3%.
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