Wed Dec 31, 2014 10:49 pm
That's the mechanical and relatively easy part. The hard part is making an initial prediction about how many games a team is likely to win at season's end. That's also the fun part. I have my own "system" for doing that, but my basic starting point is to look at quality prediction systems like zips, steamer, and pecota and form a sort of "average" based on how much weight I give to a particular system based on its track record. But I incorporate my subjective opinions too, I don't just wholly rely on those outside systems.
And of course predicting that the Dodgers are likely to win, say, 90 games is really predicting that is the median probability with about a 5 game error bar on either side of that prediction. Which is where the probabilities of winning divisions come from. My prediction for the Dodgers is rosier than for the Giants, but probability being what it is the Dodgers will still lose out a certain amount of time to the Giants. just like when you simulate 1000 seasons using Strat, one team may win 70% of the time, a second divisional rival may win 15%, a third 5%, etc etc.