NCAA Prediction With Python/Pylab

[Lee]

Hey Everyone,

I was thinking of doing a talk on scientific computing with scipy for python, and was wanting to do something fun and interactive like ranking or other analysis. I figured ranking sports teams was something I had done in the past and it might be fun for people in the group to mess around with how scores and comparisons were done and to kind of mini compete between one another. Sadly, March madness creeped up on me and I didn't propose such a talk in time. Since ranking basketball is kinda moot after March i figured I'd put this up to play with now before the tournament starts (looks like i missed that deadline too).

So if anyone wants to mess around with some python 3d plotting and linear algebra methods in pylab for ranking, here is short script for ranking teams based on NCAA basketball data plotted along their principle eigenvectors. Documentation is scarce, but i can add it if people are interested.



Example Output :

Saint Louis(23:6) : [338, 307]
Akron(19:5) : [333, 318]
Tennessee(17:8) : [319, 334]
New Mexico(19:3) : [332, 322]
UNLV(18:4) : [323, 331]
Wichita St.(17:5) : [327, 328]
Kansas St.(18:3) : [328, 330]
Ohio St.(20:3) : [341, 319]
Oregon(20:4) : [324, 336]
Michigan(21:2) : [343, 320]
Miami (FL)(17:6) : [335, 332]
Michigan St.(18:5) : [334, 333]
Mississippi(21:5) : [331, 338]
St. Mary's(18:3) : [329, 340]
Missouri(21:5) : [330, 343]
Arizona(19:4) : [337, 339]
Florida(19:6) : [339, 344]
Gonzaga(20:2) : [342, 341]
Kansas(19:3) : [344, 342]
Duke(22:2) : [345, 346]
Louisville(25:2) : [346, 345]