After an uncomfortable win over the Clippers on Sunday, the Spurs headed north to play the hapless Kings, who are locked in a desperate battle with the Nets, Wizards, and Pacers to be the most inept team in the NBA. Even so, the second night of a back-to-back is always somewhat unpredictable, and the Kings had managed to win four for their last five games. I will admit that a little part of me worried that the Spurs would lose focus and severely damage their chance of catching OKC in the standings.
I needn’t have worried. As anyone who watched this game would know, the final score dramatically overstates the level of competition on display. To get a better sense of how quickly the contest was over, consider that ESPN’s win probability tracker first gave the Spurs a 99% chance of winning with 10:49 left in the second quarter, and that was the best odds Sacramento would face for the remainder of the game.
While satisfying, games like this are also somewhat boring in the moment. However, they do typically produce some unusual and rare statistical combinations. None of San Antonio’s individual box score differentials were extraordinary by recent historical standards, largely because the Spurs were finished trying to extend the lead by halftime. However, this dominant performance still produced some noteworthy highlights:
What are Team Graded Box Scores?
Very briefly, these box scores grade winner-loser differentials for basic box score statistics, with the grade being based on the winning team’s differential relative to other NBA winners during a defined reference period. Think of it like a report card for understanding how a given winner performed relative to other winners. The reference period used runs from the start of the 2012-2013 season to the latest date of play, including only games in the same season category (i.e., regular season and playoff games are not compared to each other).
Data Source: The underlying data used to create these box scores was collected from Basketball Reference. In all cases, the data are collected the morning after the game is played. Although rare, postgame statistical revisions after data collection do occur and may affect the results after the fact.