Notice: Trying to get property 'display_name' of non-object in /var/www/html/wp-content/plugins/wordpress-seo/src/generators/schema/article.php on line 52

Due to reader feedback, we’ve made some changes to the Playoff Odds report:

1)     Rather than rerunning sims for past days of the season, we’re locking in sims that have already been run. Originally, we were rerunning sims from previous days to make sure that only updated information was affecting the deltas, but the practice seems to have generated too much confusion as to what the deltas were supposed to mean.

2)     In order to smooth out the deltas a bit more, we’ve roughly quadrupled the number of simulations that we’re running each day. That should reduce the amount of random variation we see in the playoff odds.

There are also some things that we have not changed but thought we should take a moment to explain in some detail anyway. The Playoff Odds are governed by expected rest-of-reason results, and as such they depend on our best estimate of what those results will be.

Using the depth charts and our rest-of-season projections, we come up with one estimate of a team’s probable winning percentage going forward. Using a combination of our estimated team runs scored and allowed based on components, the linear weights underlying True Average, and the Pythagenpat formula, we come up with another. We take a weighted average of the two, based on our estimate of the reliability of each.

Now, there is quite a bit of agreement between these two measures, with a  correlation of .75. But they don’t always agree. Teams upgrade personnel—the expected wins of a team like the Phillies are much different with Utley and Howard on board than without those two players, for instance. Teams also play worse or better than their personnel would indicate. The more games by which a team manages to exceed its projections, the more weight is placed on observed rather than projected performance. (And thanks to the rest-of-season forecasts, that over-performance also gets incorporated into the projections, to a lesser extent.) We feel that we can provide a better expectation for rest-of-season wins by combining these two estimates based upon our estimated uncertainty than by using either method alone. We’ve published the exact method we use to estimate reliability of one relative to the other, so anyone should be able to look at our third-order wins and the depth charts and see where the estimates of expected rest-of-season win percentage are coming from.

Thank you for reading

This is a free article. If you enjoyed it, consider subscribing to Baseball Prospectus. Subscriptions support ongoing public baseball research and analysis in an increasingly proprietary environment.

Subscribe now
You need to be logged in to comment. Login or Subscribe
Thank you, this is very much appreciated.

A question. Since BP updates the depth charts for each team's pitchers and hitters on different days (rather than all at the same time), will there be "blocky" changes to the playoff odds that are based on when the depth charts are updated and not solely on the results of the prior day's games?
I don't understand how you are producing two different estimates of probable winning percentage going forward. Aren't the depth charts used to weigh the individual projections in order to find the team totals for components that are converted by linear weights into runs for/against?
Some of us noticed that during the All Star break, the playoff odds were swinging wildly every day, even though no games were being played. Are you now saying this was simply due to an insufficient number of simulations?
No answers from BP? Do you guys not even read the comments?