The Playoffs are about to begin and so I thought it was appropriate to break out some nice topical mathematical models.

Image Courtesy of xkcd.com
Previously, I wrote a series of pieces on how to build a probability model for a seven game playoff series using the Binomial theorem (see here, here and here).
The basics of the model are below in table form:
Now this is a little complicated but we can all understand a simple table. As before please note I capped out win probabilities at no better than 90% and no worse than 10%. This was done as the best team ever record wise still managed to lose 9 of 82 games (and the worst team ever still won 11 of 82):
For team A and team B playing in a seven game playoff series ,with A being the higher seed first you need to know the win probability margin of team A beating team B at a neutral site.How you work this out is up to you but the simplest possible model would be using winning percentage. For example,
Team A: .750 Winning Pct.
Team B: .650 Winning Pct.
Margin A-B = .100 (now go look it up)
%TeamA beats TeamB @ neutral site = .100 + .500=.600
Probability of Team A winning a seven game playoff series as the home team= 74.4%
Probability of Team A winning a seven game playoff series as the road team= 68.4%
See, It’s simple.
One of the items that came up as I built the model was the varying significance of Homecourt advantage (and the point of this post actually). You can see this here:
So the math is clear. The more even two teams are facing each other in a seven game series, the more important home court advantage becomes . For dead even teams home court is worth almost half a win.
But that’s only who wins. What about likely series lengths? This I’ve done previously as well and bear in mind there is a bit of a twist as well.

So many ways to take this
The change in series format from 2-2-1-1-1 to 2-3-2 in the NBA finals influences the outcome. Luckily I’ve crunched the ridiculously long probability equation required for this previously.

(Image courtesy of xkcd.com)
Let’s start with the 2-2-1-1-1 format:
But it looks prettier as a graph:
What do we learn here? Home team winning in 5 (if the home team is better) or losing in six (if worse) seem to be the smart bets unless the teams are even in which case the bet is home team in 7.
And now the 2-3-2 format:
And of course the pretty chart:
What do we learn here? For the the 2-3-2 Home team winning in 6 and not 5 (if the home team is better) or losing in five not six (if worse) seem to be the smart bets unless the teams are even in which case the bet is home team in 7.
Now please keep in mind that this blog does not in any way shape or form promote the practice of gambling. This information is provided solely for your amusement and cultural enrichment.







Some Dude
04/14/2011
betting better team in 5 with HCA or 6 without it is something I think most people think intuitively.
sweeps are generally only predicted in clear mismatches. Good to see conventional wisdom and statistics lining up for once.
Now, if only matchups could be put into the win% differences. hm…
arturogalletti
04/14/2011
It’s a process.
Derek the student
04/14/2011
You got some great stuff going here. I like your blog, very informative. Statistical analysis are on point. I apologize for posting this here but I was trying to find your e-mail so I could run some NBA questions off of you for a project I am doing but I had no success finding an e-mail…
arturogalletti
04/14/2011
Derek,
Thank you and No worries.
My e-mail is in the About link on the front page (ar4t@yahoo.com)
Tom
04/15/2011
Different colors for the same series in each one of the graphs? You’re better than that Arturo!