# NBA Playoffs: Yes, Regular Season Matchups Matter

By Henry Johnson

The NBA playoffs have arrived at last.

With the first round series set, basketball analysts are looking to regular season results for information about postseason matchups. NESN, for instance, points to the Bulls and Celtics splitting their regular season series 2-2 as cause for concern. USA Today notes that the Clippersâ€™ 3-1 record against the Jazz this season should inspire confidence among Los Angeles fans.

To test whether itâ€™s wise to tie postseason predictions to regular season matchups, I grabbed data from Basketball-Reference going back to the 2006-2007 season. I was interested in home teamsâ€™ series winning percentage, as well as the following three regular season variables:

• Home teamâ€™s Adjusted Net Rating (ANR), an opponent-adjusted â€śestimate of point differential per 100 possessions,â€ť as calculated by Basketball-Reference
• Away teamâ€™s ANR
• Regular season point differential between the home and away team.

As an example, this yearâ€™s Celtics have an ANR of +2.32 compared to the Bullsâ€™ -0.08. The Celtics scored 409 points against the Bulls this season, while they allowed only 389. The regular season point differential, then, would be +20 for the home team Celtics.

A preliminary check suggests that home teams do fare worse against teams theyâ€™ve been outscored by in regular season matchups:

But weâ€™ll need to control for team strength. After all, a negative differential may mean that, seeding be damned, the away team was actually better than the home team. To control for this, I used logistic regression to model the home teamâ€™s probability of winning each series as a function of the three variables outlined above: home team ANR, away team ANR, and regular season point differential in matchups between the two teams.

The results of this regression are as follows:

 Variable Estimated Coefficient Test Statistic p-value Intercept 0.701 1.35 0.18 Home Team ANR 0.16 1.77 0.08 Away Team ANR -0.24 -2.82 0.005 Regular Season Point Differential 0.02 2.04 0.04

These numbers indicate that regular season matchups do matter a significant amount, even after youâ€™ve controlled for the strength of each team.

As an editorial aside, I should point out that I expected regular season matchups to be irrelevant, and I was fully prepared to point and laugh at the talking heads who suggest otherwise. Perhaps the professionals are professionals for a reason.

While the model is crude and simplistic, it might still be fun to predict the first round of the 2017 playoffs using our three variables of interest.

 Home Team Probability Away Team Probability Celtics 82% Bulls 18% Cavaliers 89% Pacers 11% Raptors 86% Bucks 14% Wizards 95% Hawks 5% Warriors 91% Trail Blazers 9% Spurs 87% Grizzlies 13% Rockets 89% Thunder 11% Clippers 60% Jazz 40%

These predictions should be taken with a grain of salt, especially compared toÂ more advanced models. Whatever the outcomes, though, itâ€™s good to return to the glorious time of year that is the NBA postseason.

#### harvardsports

View all posts

• Will Hawkins says:

Can you explain the “Home Team Winning Percentage” graph a little bit more. I know that is supplanted by your later analysis, but I could not fully understand what the graph is showing.

Is it showing the percentage of wins by team X during the season when playing at home against their first round playoff opponent binned by those with a positive/negative cumulative point differential for every game played in a season?

Thanks again for this really fascinating post!
Will

• Henry says:

Hi Will,