How Invisible’s AI draft strategy led the hornets to a summer league title

Featuring Patrick Harrel, VP of Basketball Insights & Analysis at Charlotte Hornets

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Overview

Invisible’s Computer Vision platform ingested raw game film and extracted detailed kinematic data (i.e. the coordinates of players as they move) to generate advanced performance metrics, including speed, explosiveness, and acceleration. This data gave teams a much richer, objective view of a player’s athletic profile compared to traditional scouting.

The results

X
hours of play
99%
accuracy
60,000
data points
Invisible’s computer vision models provided high-quality data that played a key role in validating our 2025 draft analysis. The insights we gained proved incredibly valuable to our decision-making and we are excited to continue to work together.

At a glance

Client profile
The Charlotte Hornets are an American professional basketball team based in Charlotte, North Carolina. The Hornets compete in the National Basketball Association (NBA) as a member of the Southeast Division of the Eastern Conference. In 2025, they won the NBA Summer League Championship for the first time in their history.
headquarters
Charlotte, North Carolina
Industry
Basketball
Key Solutions
Invisible Computer Vision

The challenge

NBA teams rely heavily on traditional scouting reports, subjective player interviews, and small sample sizes of performance. For most college players, the only available statistics are box scores, which miss critical information about a player’s athleticism and in-game impact. The costs for annotated game tape are prohibitive for college basketball, leaving teams to make expensive draft decisions without the necessary insight.

The outcome

Invisible’s Computer Vision recommended Kon Knueppel to the Charlotte Hornets in the 2025 NBA draft. He was named MVP of the NBA Summer League Championship game after leading the Hornets to victory. He scored 21 points in the final game, helping the Hornets defeat the Sacramento Kings. This win also marked the Hornets' first-ever Summer League championship.

Client Interview

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Interview transcript

What did you hope to achieve with Invisible? 

Our hopes were to improve our analytical capabilities beyond the NBA to better help with scouting college and non-NBA leagues (e.g. Euroleague)  to help us identify and better analyze potential NBA prospects. Invisible assured us we could have this data in a matter of weeks and for the 2025 NBA  draft. Needless to say, we were skeptical. 

What made you think Invisible could make a difference?

We’d seen too many glossy computer vision pitches that couldn’t deliver. Invisible stood out because they combined technical depth with a partnership mindset. They could take messy, unstructured video data, fine-tune models to remarkable accuracy, and deliver working systems in weeks, not years. 

Their ability to own the end-to-end process, leveraging their in-house expertise—from using their human in the loop workforce to finetune Computer Vision  models built by their internal Computer Vision team, to training specialist AI agents—meant they could replicate multi-million-dollar systems with commodity hardware, prove value before contracts, and adapt in hours. That mix of speed, precision, and credibility gave us confidence that they could make a real difference.

Invisible stood out because they combined technical depth with a partnership mindset.

What was the commercial impact? 

Within weeks, Invisible provided us with an AI draft strategy that gifted us Kon Knueppel, the #4 overall pick by the Charlotte Hornets in the 2025 NBA draft. He was named MVP of the NBA Summer League Championship game after leading the Hornets to victory. He scored 21 points in the final game, helping the Hornets defeat the Sacramento Kings. This win also marked the Hornets' first-ever trophy and Summer League championship.