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Saturday, April 13, 2019

How Much 2-3-2 Home Court Affects Win Probability

Up until 2014, the NBA Finals had been a 2-3-2 format, where the lower seed hosted Games 3-5 (as opposed to the rest of the series which went 2-2-1-1-1, where the lower seed hosted Games 3, 4, and 6). In theory, if the higher seed lost Game 1 or 2, they could lose the series without being able to utilize the rest of their home court advantage.

How much does this really penalize the higher seed? Home court isn't flipping, just the ordering of home court.

I previously simulated this year's playoffs here. Here's how the new odds would look if every series changed to 2-3-2:


TeamSecond RoundConf FinalsNBA FinalsChampion
Western Conf
Golden State87.95%54.43%38.70%16.28%
LA Clippers12.05%2.18%0.65%0.07%
Houston48.78%20.38%11.81%3.35%
Utah51.22%23.01%14.02%4.71%
Portland59.32%34.80%13.27%3.49%
Oklahoma City40.68%19.13%5.99%1.17%
Denver69.86%36.00%13.46%3.63%
San Antonio30.14%10.07%2.10%0.31%
Eastern Conf
Milwaukee96.20%80.19%62.56%48.62%
Detroit3.80%0.64%0.10%0.02%
Boston60.45%12.79%6.19%2.50%
Indiana39.55%6.38%2.48%0.82%
Philadelphia71.64%22.76%3.91%0.95%
Brooklyn28.36%4.11%0.30%0.02%
Toronto86.19%67.50%23.92%13.98%
Orlando13.81%5.63%0.54%0.08%

The differences are fairly marginal, improving most underdogs in the first round by less than 1%:

Western ConfPythActualAlt HFADif
Golden State0.71987.42%87.95%0.53%
Denver0.64770.08%69.86%-0.22%
Portland0.64957.81%59.32%1.51%
Houston0.67048.09%48.78%0.69%
Utah0.68751.91%51.22%-0.69%
Oklahoma City0.62242.19%40.68%-1.51%
San Antonio0.56329.92%30.14%0.22%
LA Clippers0.52912.58%12.05%-0.53%
Eastern Conf
Milwaukee0.78296.44%96.20%-0.24%
Toronto0.70986.72%86.19%-0.53%
Philadelphia0.59772.47%71.64%-0.83%
Boston0.65960.56%60.45%-0.11%
Indiana0.62539.44%39.55%0.11%
Brooklyn0.50027.53%28.36%0.83%
Orlando0.52713.28%13.81%0.53%
Detroit0.4883.56%3.80%0.24%

Golden State and Portland actually go up slightly, and I reran the sims a couple of times and got that result every time. So it doesn't appear to be randomness in the sim results.


So let's look at one series, Philadelphia/Brooklyn (the series in which the underdog stands to gain the most), and see where the changes occur:

Team Winsin4Rd1in5Rd1in6Rd1in7Rd1
Actual
Philadelphia12.24%22.53%18.44%19.26%
Brooklyn2.43%5.17%10.43%9.50%
Alt HFA
Philadelphia12.53%17.80%22.95%18.36%
Brooklyn2.45%7.57%8.99%9.35%
Dif
Philadelphia0.29%-4.73%4.51%-0.90%
Brooklyn0.02%2.40%-1.44%-0.15%
Cumul0.31%-2.33%3.07%-1.05%
Clearly the differences in either team sweeping are due to randomness: in both formats, each team gets their first 2 games at home.

The obvious changes show in Games 5-6: both teams are more likely to clinch on their home floor when that home floor is flipped. But the real change that helps Brooklyn, the underdog, is in the decreased probability of the series going 7: in a shorter run scenario there's higher variance, which increases the underdog's probability.

What about the projected most competitive series, where the home team is actually the underdog?

Team Winsin4Rd1in5Rd1in6Rd1in7Rd1
Actual
Houston5.49%12.89%12.70%17.01%
Utah6.73%11.98%19.04%14.16%
Alt HFA
Houston5.15%9.22%16.09%18.32%
Utah7.56%15.44%14.33%13.89%
Dif
Houston-0.34%-3.67%3.39%1.31%
Utah0.83%3.46%-4.71%-0.27%
Cumul0.49%-0.21%-1.32%1.04%

This time, the change that helps Houston, the home team, is the INCREASED probability of the series going 7: since they have home court, they then stand a better chance of winning that last game and clinching the series.

So the underdog does appear to be aided by changing the series order, but by less than 1%. The better team still would win more often than not.

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