Mathematician Predicts Yankees To Dominate
anthemaniac writes "Computerized projections in sports are nothing new, but Bruce Bukiet of the New Jersey Institute of Technology has developed a model that seems to work pretty well. He projects how many games a Major League Baseball team will win by factoring in how each hitter ought to do against each pitcher in every game. His crystal ball says the Yankees will win 110 games this year, a pretty safe bet, many might agree. But he also projects all the divisional winners. He claims to be right more than wrong in five of the past six years."
It's a safe bet that the Yankees will do well, they always seem to spend almost twice as much as most other teams on talent, not to mention luring good players from other teams away to crush competition. Having said that, they have always spent such money, and not done exceptionally well as of late. 110 wins is a lot, and not many tesms have accomplished that. Safe bet? Hardly.
Rhymes that keep their secrets will unfold behind the clouds.There upon the rainbow is the answer to a neverending story
Isn't here some rule or law about 'fitting a curve' to past data? Yet, the sports predictions, and many of the 'stock market systems' are all about
finding some seemingly obvious pattern in past data. While you might come up with a 'back tested' model that matches really well,
it doesn't mean squat for the future.
Sendou Wave Kick!!
"Hello Mr. Bukiet"
"It's pronounced bouquet!"
The higher the technology, the sharper that two-edged sword.
They did. It's called "tenure".
The higher the technology, the sharper that two-edged sword.
He claims to be right more than wrong in five of the past six years.
That's nothing: I've devloped a new mathematical algorithm that correctly predicts the outcome of the past six years with 100% accuracy.
In 2006, he predicted 102 Yankee wins. They won 97. Not too bad.
In 2005, he predicted 113 Yankee wins. They won 95. Way off.
In 2004, he predicted 117 Yankee wins. They won 101. Way off.
In 2003, he predicted 110 Yankee wins. They won 101. Not great.
In other words, take this forecast with a big boulder of salt.
My userid is prime!
So let me get this straight..
Climatologists use past data, computer models, and mathematical projections to support global warming and predict future results, and everyone calls it strong science based on facts. If the models are off, it's just a part of the scientific process, but the overall claim is still valid.
But if a statistician uses past data, computer models, and mathematical projections to predict baseball results, it's dismissed as some crack job's phony science. If the models are off, it's proof that he has no idea what he's doing and how these kinds of models don't work.
Am I missing something here?
Wow, I never expected somebody that I knew to get on Slashdot. Bruce Bukiet is my Calculus II professor at NJIT.
He mentioned this before a few times, including today after that article made it to the most popular spot on Yahoo! News. This is more of a hobby for him than an official project.
From what he has said in the past about the model, it tends to overestimate the Yankees, among other reasons, because they often buy good players at the end of their prime. Thus the players won't play as well as they had in the past. He hasn't used it to make any bets. For the model, coming within a game or two of the actual results is considered a good prediction.
As some people above said, the model isn't intended to be extremely accurate, and is frequently off by a significant amount. The interviews he does are more to get people interested in math, and to see how it has real use, rather than to try and show off. He used to go into more details in the past, but doesn't now because they tend to confuse the interviewer, and don't make it into the final article.
Some pages of his own about the project are:http://m.njit.edu/~bukiet/baseball/baseball.html
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