Key takeaways
-The athlete-first era is data-backed: with nearly a third of Gen Z prioritizing players over teams, stars like Giannis Antetokounmpo and Nikola Jokić now function as standalone entry points into the NBA ecosystem.
-Content archetypes matter: fandom can be different, when it revolves around different players. Data shows that Luka Dončić clips revolve around action-drive highlights, while they connect with Jaylen Brown through broader game narratives.
-Automation is the engine of scale: to meet this player-first demand, leading rights holders use AI to generate over 50 unique pieces of content per game, ensuring each star’s story reaches fans in real-time, across formats and platforms where discovery actually happens.
Why it matters
Fandom has shifted. According to our Generational Fan Study, 31% of Gen Z fans now feel more connected to individual athletes than to teams. In this era where fans care more about their favorite players, understanding who drives attention, and why, has become the new front door to sports engagement.
This shift is visible beyond our survey. Learning about new sports increasingly happens through athlete-led feeds, short-form videos, and creator-driven ecosystems where players, not teams, are the primary storytelling unit.
By analyzing how fans engage with stars like Luka Dončić or Giannis Antetokounmpo, rights holders can move from a generic content output to one that is more personalized to the fan.
Sports archetypes in the digital age
To understand these patterns, we analyzed content generated across three core categories:
-Action highlights: individual plays such as dunks, assists, or defensive stops
-Game highlights: period-based or full-game narratives
-Player-focused highlights: content built entirely around an athlete’s persona and momentum
By combining these categories, we can see not only which players drove the highest content volume in November 2025, but also why they generated buzz. Each archetype reflects a different path into fandom, whether through plays, games, personalities, or team identity.
1. The “personal brand” stars
Giannis Antetokounmpo, Nikola Jokić, James Harden, Luka Dončić
These athletes act as digital Trojan horses into new audiences. For Giannis, nearly 50% of the content created about him is player-focused, meaning the buzz is deeply personal and tightly tied to his individual brand rather than the team context.
These are portable stars. Fans follow the name, the personality, and the moments, regardless of jersey. This aligns with the broader shift toward relevance and personalization as the primary drivers of engagement.
2. The “team and game narrative” stars
Tyrese Maxey, Shai Gilgeous-Alexander, Jaylen Brown, Karl-Anthony Towns
These players serve as the digital front door to their franchises. Tyrese Maxey is the clearest example. He has the highest relative share of team-focused content in the top ten, acting as a consistent buzz engine for the 76ers rather than an isolated global brand.
Jaylen Brown represents a different variation. He is the most game-heavy player in the dataset. Content about him is almost always woven into the story of a Celtics game, reinforcing his role in driving engagement tied to live events.
3. The “king of plays” vs. the “balanced profile”
Luka Dončić – the king of plays: Luka dominates “action” content – driven by individual highlights that travel well across social feeds and other platforms, aligning closely with how younger audiences consume NBA content.
Donovan Mitchell and Cade Cunningham – the balanced profile: both players perform consistently across Player, Game, and Action categories. They do not rely on a single narrative extreme, making them versatile assets for rights holders activating multiple formats and entry points.
Turning player insights into commercial impact
By identifying whether a star functions as a personal brand or a team engine, organizations can tailor AI-driven content workflows to real fan behavior. Whether it’s a vertical “action” clip for social feeds or a localized highlight for a specific market, the objective remains the same: use the athlete to open the door, and relevance to keep fans inside.
Personal brand stars drive discovery and reach, while team engines sustain habitual engagement around live moments. For rights holders, the mandate is clear: move away from legacy broadcast workflows and toward an automated, always-on ecosystem that reflects how fans actually follow the game.
In the next era of fandom, success is measured by outcomes. Engagement quality, dwell time, and fan acquisition matter more than raw production volume.
To read more about changing fan behaviors get the full 2025-26 Generational Fan Study.
