Try to handicap a stakes race, you always run into trouble. The horses have run but a handful of times - different tracks, different countries, different conditions, and often not against each other. That's not to say a good handicapper can't wade through it, only that pure computer (numerical) analysis is something of a stretch.
Contrast that with jai-alai, where the same cast play head-to-head thousands of times a year. Now, actual statistical concepts come into play, things like variance and error of estimate. Let's just look at an example - take our good friend Andoni Arriaga, and 10 years of Singles stats. We have:
4,000 performances
4,800 Singles games
600 times serving from Post 1
600 times receiving in Post 2
(these numbers are rounded approximations, but close enough for
government work ... lol)
That's quite a hunk of data. What could you do with it? The numbers are big enough that statistical variability is much reduced.
Take it a step further. You could argue that, in those same games:
75 times served to Beitia from Post 1
75 times received from Beitia in Post 2
(now, that number 75 may not be precise, but it's in the ballpark)
Just trying to tickle your fancy here, get you thinking 
