- Jul 19, 2002
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I do not use ump data at all, but I notice many posters here live and die with the umpire data. I think this is a mistake, at least as far as how the data are being used. Here is my argument:
I noticed NDFAN, for example, said the ump in the SF/LA game is a homer ump because 49 of 75 home teams have won. But wouldn't you expect home teams to win close to that percentage anyways? In this case, it does seem to be a little higher win % than one would expect on average, but the larger point is that it is probably premature to be calling some of these umps "over umps" or "homers," especially with small samples. What is needed to make the ump data more valuable is a baseline of what would be expected from the home/away teams, all things equal, and how much the ump matters in deviating from this baseline.
For example, if UMP A has been calling mostly Yanks home games, would it surprise you to know that home teams have won 64% of their games?
Maybe one could match up the ump with the home/away line, and see how many games the home team won compared to the average home line. If home teams were lined at -160 ave, that ump better have a home win % higher than 62.5% to be called a homer, likely around 70%, and around 50% to be called a dog ump.
My argument is that ump data by itself might not be very predictive and I don't understand poster's dependence on it, at least the way it is currently used. If someone could match up the ump data with home lines, however, then I think it might me more valuable.
Anyone....?
mack
I noticed NDFAN, for example, said the ump in the SF/LA game is a homer ump because 49 of 75 home teams have won. But wouldn't you expect home teams to win close to that percentage anyways? In this case, it does seem to be a little higher win % than one would expect on average, but the larger point is that it is probably premature to be calling some of these umps "over umps" or "homers," especially with small samples. What is needed to make the ump data more valuable is a baseline of what would be expected from the home/away teams, all things equal, and how much the ump matters in deviating from this baseline.
For example, if UMP A has been calling mostly Yanks home games, would it surprise you to know that home teams have won 64% of their games?
Maybe one could match up the ump with the home/away line, and see how many games the home team won compared to the average home line. If home teams were lined at -160 ave, that ump better have a home win % higher than 62.5% to be called a homer, likely around 70%, and around 50% to be called a dog ump.
My argument is that ump data by itself might not be very predictive and I don't understand poster's dependence on it, at least the way it is currently used. If someone could match up the ump data with home lines, however, then I think it might me more valuable.
Anyone....?
mack
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