better sports predictor: computer or games?
PostPosted:Wed Feb 22, 2012 4:31 pm
I see a lot of sites these day that try to predict the outcome of some game by running a simulation, and for a while I thought you might as well ask NBA Live 2012 what the answer is, but on second thought, it might actually be worse.
As far as I can tell, games try to break down the players into stats, i.e. Peyton Manning has an accuracy of 99 because it looks like he's the most accurate guy in the NFL, and the game models 99 accuracy as such and such. On the other hand, it looks like most computer models that aren't games try to model a character as say '105 Quarterback Rating' or '35 PER' and then try to model the characters solely based on that.
But stuff like QB rating or PER rating is observed after the fact the game is played. That is, you're saying I see this guy plays well and according to my formula that translates to a power level of X. If you go this way then the winner is usually the team with the highest combined power level. If you attempt to model sports like a game down into individual stats, it sounds at least possible that maybe the highest combined stats doesn't always win since maybe you've high accuracy but they got a good defense or whatever.
Besides, game makers generally have a significant incentive to model the game correctly, since nobody likes to play a sports game that doesn't remotely look like the real thing. On the other hand most computer model seems to be developed by just a random guy on the Internet. I'm not saying more is always better but unless someone has some fundamental insight to model sports, I'd take quantity here because more people = more thorough usually.
I'm not saying models are useless, but right now I see no reason to believe it'd be better than running the same prediction in Madden/NBA Live 2012. In fact, I'm more inclined to trust the result from a game since it's actually attempting to model some of the physical aspect of the game, as opposed to models that simply take a player and equate them to some power level.
As far as I can tell, games try to break down the players into stats, i.e. Peyton Manning has an accuracy of 99 because it looks like he's the most accurate guy in the NFL, and the game models 99 accuracy as such and such. On the other hand, it looks like most computer models that aren't games try to model a character as say '105 Quarterback Rating' or '35 PER' and then try to model the characters solely based on that.
But stuff like QB rating or PER rating is observed after the fact the game is played. That is, you're saying I see this guy plays well and according to my formula that translates to a power level of X. If you go this way then the winner is usually the team with the highest combined power level. If you attempt to model sports like a game down into individual stats, it sounds at least possible that maybe the highest combined stats doesn't always win since maybe you've high accuracy but they got a good defense or whatever.
Besides, game makers generally have a significant incentive to model the game correctly, since nobody likes to play a sports game that doesn't remotely look like the real thing. On the other hand most computer model seems to be developed by just a random guy on the Internet. I'm not saying more is always better but unless someone has some fundamental insight to model sports, I'd take quantity here because more people = more thorough usually.
I'm not saying models are useless, but right now I see no reason to believe it'd be better than running the same prediction in Madden/NBA Live 2012. In fact, I'm more inclined to trust the result from a game since it's actually attempting to model some of the physical aspect of the game, as opposed to models that simply take a player and equate them to some power level.