NBA Player Tracking Data: Speed, Distance, and Movement Analytics
Since 2013, the NBA has used Second Spectrum cameras in every arena to track player and ball movement 25 times per second. This data has revolutionized how teams evaluate players and design strategies. Here is what the tracking data reveals.
Speed
The fastest player in the NBA this season is De'Aaron Fox, who reaches a top speed of 20.8 mph in transition. For context, the average NBA player's top speed is about 16 mph. Fox's speed advantage is enormous — he gets to the rim before defenders can set up, which creates easy baskets in transition.
Other speed leaders: Amen Thompson (20.2 mph), Anthony Edwards (19.8 mph), and Ja Morant (19.6 mph). These players use their speed as a weapon — they push the pace, attack in transition, and force defenses to scramble.
Distance covered
The average NBA player covers about 2.5 miles per game. But the range is enormous. Jrue Holiday covers 2.9 miles per game — the most in the league — because he's constantly moving on defense, chasing shooters around screens, and cutting on offense. Nikola Jokic covers just 2.1 miles per game because he plays at a slower pace and conserves energy for his offensive possessions.
Touches and time of possession
Tracking data shows how often each player touches the ball and how long they hold it. Jokic leads the league in touches per game (94.2) and time of possession (7.8 minutes per game). This makes sense — Denver's offense runs through Jokic on every possession. SGA is second in time of possession (6.4 minutes), reflecting OKC's reliance on his shot creation.
Shot quality
Perhaps the most valuable tracking data is shot quality. The cameras track the distance of every shot, the closest defender's distance, and the shooter's movement before the shot. This data is used to calculate expected field-goal percentage — how likely a shot is to go in based on its difficulty. Players who consistently exceed their expected FG% are elite shot-makers; players who fall below it are inefficient.
The future
Tracking data is getting more sophisticated every year. The next frontier is tracking player fatigue in real-time, predicting injury risk based on movement patterns, and using AI to identify optimal lineup combinations. The teams that use this data best will have a significant competitive advantage.