I've been thinking of a feature that would be really cool to see and fairly easy to implement. As part of the post game analysis, I want the analysis to provide statements like "During this game you played like someone rated XXX (e.g. 920) and your opponent played as XXX (e.g. 830)"
This would be extremely interesting to me, because when I go on 8 game losing streaks I am really interested in whether I am making way more mistakes than is typical for me, or whether I'm just getting match ups where my opponent is significantly outplaying their current rating. It would also be interesting to see games where you and your opponent both significantly overperformed or underperformed your ratings!
As a statistician, I really don't think this would be a difficult metric to create. There's be more complex approaches, but I would start with a multiple linear regression where the response is the person's rating going into the game and the predictors are the number of best, excellent, good, mistake, and blunder moves (all divided by the total number of moves in the game so we are modeling the rate, so games of different lengths are comparable). Throw in some splines to address non-linear relationships and we've got a model to predict your rating from a single game. This prediction would be really interesting to look at after each game!
I hope Chess.com runs with this. If they do, I definitely think they should give me a free lifetime membership for suggesting it
That's sort of what the new enhanced analysis does. The accuracy score gives you an assessment of how you played.
You can't really say you played like a 920 because it only takes one move to throw away a game.
How many of those reports have you run?
Here is one from your most recent game.
I've been thinking of a feature that would be really cool to see and fairly easy to implement. As part of the post game analysis, I want the analysis to provide statements like "During this game you played like someone rated XXX (e.g. 920) and your opponent played as XXX (e.g. 830)"
This would be extremely interesting to me, because when I go on 8 game losing streaks I am really interested in whether I am making way more mistakes than is typical for me, or whether I'm just getting match ups where my opponent is significantly outplaying their current rating. It would also be interesting to see games where you and your opponent both significantly overperformed or underperformed your ratings!
As a statistician, I really don't think this would be a difficult metric to create. There's be more complex approaches, but I would start with a multiple linear regression where the response is the person's rating going into the game and the predictors are the number of best, excellent, good, mistake, and blunder moves (all divided by the total number of moves in the game so we are modeling the rate, so games of different lengths are comparable). Throw in some splines to address non-linear relationships and we've got a model to predict your rating from a single game. This prediction would be really interesting to look at after each game!
I hope Chess.com runs with this. If they do, I definitely think they should give me a free lifetime membership for suggesting it