“Empty Tanks: The Hidden Cost of Star Absences on NBA Team Performance Revealed!”

In the rollercoaster world of the NBA, full-strength lineups are often the key to postseason success. But what happens when star players take a backseat during the grueling regular season? Consider March 17, when the Golden State Warriors, basking in the glow of a seven-game winning streak, faced a shorthanded Denver Nuggets team missing its stars, Nikola Jokic and Jamal Murray. Many would have marked that down as a slam-dunk win for the Warriors, right? Wrong! The Nuggets shocked everyone with a 114-105 victory, leaving fans and analysts scratching their heads.

This unexpected twist leads us to a curious question: Do NBA teams actually thrive when their top guns are sidelined? And conversely, do opponents let their guard down against a lineup that looks starless on paper? It’s no secret that in playoff battles, having your A-listers is a must—but how does that stack up in regular-season clashes? This exploration dives into the numbers behind these scenarios, shedding light on how the absence of star players can impact a team’s dynamics and performance.

So, let’s unravel this enigma and explore the peculiar world of “starless” NBA lineups—and see if conventional wisdom holds true after all… LEARN MORE.

During the postseason, it’s best for NBA lineups to be at full strength. It’s not always possible across the long regular season. We’re looking at the impact when star players are missing.

On March 17, the Golden State Warriors, who were red hot with seven straight wins and 12 over a 13-game stretch, hosted a Denver Nuggets squad that was without its two best players, Nikola Jokic and Jamal Murray. 

This should have been an automatic victory, right?

Apparently not, because the Nuggets beat the Warriors 114-105. 

Still, it was the kind of result regarding NBA lineups to send data-driven brains down a rabbit hole.

Did you know the Oklahoma City Thunder are 7-1 this season when two of their three best players – Shai Gilgeous-Alexander, Chet Holmgren and Jalen Williams – are missing? Or that this same Thunder team has won more often against teams that have their stars in the lineup (84% of the time) than against teams that are missing them (75%)?

Obviously, in the NBA postseason, a team generally needs its best players to be available to advance to the next round.

But what about the regular season? Are teams better when their best players are missing? Do opponents underestimate NBA lineups that are missing their stars? 

Parameters for Answering These Questions

A lineup missing players can be due to different reasons, particularly injuries, but sometimes load management/general rest or other factors.

For this exercise, we looked at how teams played without their stars (we are calling this part “Team Starless” and how they played against teams without their stars (“Opponent Starless”). 

To quantify when a team/opponent is starless, we looked at games in which at least two of their three top players (based on our DRIP metric) did not play. This isn’t a perfect method – for instance, the 2014-15 Miami Heat’s three best players according to DRIP were Chris Bosh, Dwayne Wade, and… Josh McRoberts – but it’s the most objective way to do it. 

We also made sure to account for any midseason trades that took place in these seasons. So for the first part of the season, the 2024-25 Los Angeles Lakers’ three best players were Anthony Davis, LeBron James and Austin Reaves, and now, those players are Luka Doncic, James and Reaves. 

To avoid undermining our analysis with teams that played little/no starless games, we filtered out all teams that did not play at least five games without two of their three best players in a given season.  

We also calculated win percentage difference by subtracting/adding their starless/opponent starless win percentage by their season-long win percentage.

Lastly, we’re looking back to 2012 and the start of DRIP database.

With these parameters, let’s take a look at the results.

NBA Lineups: Let the Stars Shine

A quick data interpretation lesson for the less fluent out there: The Pearson correlation coefficient (r) is the most common way of measuring a linear correlation. The “r” is a number between -1 and 1 that determines the strength/direction of a correlation between two variables. If an “r” coefficient is close to 1 or -1, it indicates a strong positive/negative correlation. If the “r” is closer to 0, that means the correlation is weak/nonexistent. 

In this instance, we found a strong positive correlation (r = 0.67) between a team’s overall win percentage and the win percentage in games when it’s without at least two of its three best players. There was also a strong positive correlation (r = 0.71) between a team’s overall win percentage and the win percentage in games when the opponent is playing without at least two of its three best players. 

(Note: This correlation is telling us about teams’ relationships to each other, not the relationship between their overall record and starless/opponent starless records. So with the Team Starless category, we have a sturdy correlation between how good a team’s overall record is and how well it performs without its stars, such as the 2024-25 Thunder performing so well without their top players.)

And for the Opponent Starless group, we have an even stronger correlation between how good a team’s overall record is and how well it performs against undermanned teams. This suggests the stronger the team, the more likely it is to capitalize on opponents that are less than full strength. 

As for the main questions posed earlier, it appears that a situation like the Warriors’ loss to the depleted Nuggets is more of an isolated incident rather than a common trend. Since the 2012-13 season, teams that were missing their stars have experienced an average decrease in their win percentage of 9.1% – meaning their win percentage in starless games is 9.1% lower than their overall win record for that season. 

As for teams playing starless opponents, on average teams win games at a 14.7% rate higher than their overall win percentage. 

In this specific case, it seems that conventional wisdom wins out. Teams are worse when they are playing without their best players, and they have a better chance of winning when they are facing NBA lineups that don’t have their top ponies in the stable. 

Interesting/Bizarre Individual Cases

Before we conclude this study on NBA lineups, we thought we’d share some of the more bizarre individual examples yielded from our inquiry. 

For starters, the 2012-13 Atlanta Hawks were a pretty good team, finishing sixth in the Eastern Conference and pushing the formidable Indiana Pacers to six games in their first-round playoff matchup. However, for some reason, they struggled to win the easy games, taking only 16.7% of matchups against starless teams (37% worse than their overall record for that season).

The 2016-17 season was a rebuilding season for the Brooklyn Nets, who went an NBA-worst 20-62. But unlike the 2012-13 Hawks, they knew how to beat a hobbled opponent, winning 80% of their games against starless opponents (55.6% better than their overall record).

The 2016-17 Cleveland Cavaliers went to the NBA Finals after being a very top-heavy team in the regular season. They didn’t win any of their seven starless games that season. Yeah, wild.

Last but not least, the 2014-15 Detroit Pistons were very forgettable – 32-50 and not even close to making the playoffs. It wasn’t because they didn’t have depth like the 2016-17 Cavaliers, though. The Pistons’ starless win percentage (.636) was actually 24.6% better under the formula than their overall win rate (.390). 

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