
THE APEX TIMES
USA TODAY Sports and For The Win experts release top 100 player ranking for the 2026-27 NBA season
The new list, produced without regard to position, experience or usage, highlights a league-wide mix of established stars and dependable difference-makers as teams prepare for another season.
A fresh debate is underway for the 2026-27 NBA season, after USA TODAY Sports and For The Win experts published a ranking of the league’s top 100 players. The project is designed as a cross-league snapshot, focusing on who is best entering the season rather than tailoring the evaluation to any single team role or style.
In the announcement, the outlets describe the ranking as positional-neutral and not constrained by player experience. The emphasis is on overall impact and quality, with the experts evaluating players “regardless of position” and “regardless of experience,” while also removing usage as a factor. That framing matters, because it asks voters to separate raw statistical volume from day-to-day play that influences winning.
The ranking also puts marquee names in the conversation early. Among the players cited in the release preview are Shai Gilgeous-Alexander, Jalen Brunson and LeBron James, underscoring that the list starts with players who have shown they can carry offensive creation while also sustaining their games across different playoff environments.
While the rankings are positioned as an objective measure, they inevitably reflect voting judgments and what each expert weights most. Even with the “best players” premise, the NBA’s value can look different depending on whether a voter prioritizes half-court shot-making, shot creation, defensive role-play, playmaking efficiency, or consistency during high-leverage possessions.
The broader implication is that the NBA’s season narratives often swing around who looks most complete in the regular season. Fans will use these kinds of rankings as a shortcut to compare eras and skill sets, while teams and media will reference them as shorthand for who feels like a definitive franchise centerpiece versus a specialized system driver.
There is also a category-level takeaway from the way the list is built. By excluding usage and treating roles more uniformly, the ranking can highlight elite performers who may not always lead the team in touches, as well as players whose games translate even when their team’s offensive plan shifts.
The list is scheduled to become a recurring reference point as training camps turn into the season’s early rhythm. Still, it should be viewed as a forward-looking editorial product, not a guarantee of playoff outcomes, since form, health, and matchup context can change quickly once games begin.
If you follow the top end of the list, the key watch is how these star profiles perform when opponents adjust. Rankings like this do not decide the season, but they often shape the initial expectations that attach to players as the league settles into its competitive tiers.
Why It Matters
- Early-season NBA conversation often starts with evaluations of who is “best,” and a league-wide top 100 list gives fans a common baseline.
- By removing usage and experience from the criteria, the ranking pushes debate toward transferable impact, which can change how players are compared across roles.
- Rankings can influence media storylines and public expectations as teams open camps and the first few weeks of games reveal team identity.
- The list provides a ready reference for comparing stars across different styles, especially when playoff matchups begin to test creation, defense, and late-game reliability.
Key Facts
- USA TODAY Sports and For The Win experts published a top 100 player ranking for the 2026-27 NBA season.
- The ranking is designed to be regardless of position, regardless of experience, and regardless of usage.
- The release preview highlights Shai Gilgeous-Alexander, Jalen Brunson, and LeBron James as examples of players featured in the top group.
- The project aims to identify the best players entering the season rather than measuring output in a specific statistical window.