How do you use his statistics to predict the margin of victory? Can this be done from this Pythag winning %, or is there a more complicated way of doing this?
I find his statistics very interesting, but not as user-friendly as Sagarin.
I'm pretty sure that since he's switched to Pythagorean Win%, you can't predict score margins.
Since you're interested, I have my own computer rating system (I use the data Pomeroy provides on his site) that can be used for that purpose, with varying degrees of success. Here are the latest rankings:
Since NCAAT games are on "neutral" courts, just subtract one team's ranking from another's to find the predicted score margin.
Let me know what you think of these -- I'm looking for input.
Those numbers from your system seem to reflect reality. They also say that the top teams are all pretty close, when anything can happen. Also, they suggest that teams better worry about Davidson!
Last edited by mgtr; 03-17-2008 at 07:19 PM. Reason: Davidson comment
Here are the games it says will be close (margin under 10 points) or upsets:
4 Pittsburgh, 13 Oral Roberts (6.38)
4 Vanderbilt, 13 Siena (4.74)
5 Clemson, 12 Villanova (6.49)
5 Drake, 12 Western Kentucky (4.25)
5 Michigan St., 12 Temple (7.7)
5 Notre Dame, 12 George Mason (7.52)
6 Marquette, 11 Kentucky (9.21)
6 Oklahoma, 11 Saint Joseph's (.64)
6 Purdue, 11 Baylor (.34)
6 Southern California, 11 Kansas St. (-1.37)
7 Butler, 10 South Alabama (3.43)
7 Gonzaga, 10 Davidson (.95)
7 Miami FL, 10 St. Mary's (-1.76)
7 West Virginia, 10 Arizona (3.15)
8 Brigham Young, 9 Texas A&M (-1.49)
8 Indiana, 9 Arkansas (3.58)
8 Mississippi St., 9 Oregon (.16)
8 Nevada Las Vegas, 9 Kent St. (1.19)
During the regular season, Pomeroy does give a predicted score. I think you could use his system to do the same in the NCAAs, but it wouldn't be completely trivial. Read more about it here:
Thanks Appzter, for the response and the link.
When you say "varying degrees of success," have you tracked your system. I know no system is perfect, but have you done an analysis of your system against the point spread?
Hey SlimSlowSlider -
Saw you were posting about Pomeroy and Margin of Victory. I actually run a site that calculates MOV and more for the tournament. Pomeroy's data is actually an input to some of the stuff we do. You can check it out here:
We also have detailed Power Ratings that can be found here:
Certainly would be interested to hear what you think!
For Pomeroy's game predictions, just click on a team's schedule. They are up now for the NCAA tourney.
My unsolicited advice is not to try to beat Vegas spreads by using computer predictions / power rankings. The spreads almost always align closely with the computers anyway.
Interesting that your statistical odds calculator give UCLA the lowest probability of making the FF of any of the 1 seeds.