• Welcome to the first Dynasty Check-In of the season! What, already? It’s not even been two weeks! Mark, don’t you tell us constantly that we can’t trust two weeks’ worth of data?

    Well Yes, But Actually No - Meming Wiki

    There are plenty of stats that I don’t really care that much about when looking at early-season samples, instead noting them down for future observations instead. There are a handful, however, that actually become indicative of true talent gains even at this point of the season, and that’s what we’ll be discussing today.

    Keen dynasty readers will recognize this is the exact same exercise I went through last season. If it ain’t broke…

    Last year, I highlighted Ryan Rollins’s and Keyonte George’s offensive improvements as real gains and to believe in them. I earmarked Cedric Coward’s all-around signals and Kyshawn George’s multi-faceted contributions as something that could be counted upon moving forward. I acknowledged Jonathan Kuminga’s and Jaime Jaquez’s hot starts while also noting their gains weren’t necessarily in key areas — and both players tailed off slightly as the season progressed. Josh Minott…well he ended up losing his rotation role and now is on the fringes of the Nets’ rotation. But hey, getting 6/7 early-season calls in the right direction is a win in my book! Let’s dive into what stats we actually care about in this sample size and which players we can already make some declarations on in terms of their dynasty standing.

    It’s Two Weeks! What Can We Actually Determine?

    If you’ve read or listened to my work, you know I stress that I don’t believe small sample sizes. And yet here we are, trying to translate two weeks of basketball into long-term assessments? Mark you can’t be serious here?

    For some aspects of play, I won’t be serious. No, I don’t care that Player X shot 60% from the field. I pay little mind that Player Y has only scored 11 points a game when it comes with outlier 34% shooting. What we can examine is more process-based elements, such as free-throw rates, assist rates, and other stats of that ilk.

    You think this is just vibes-based? Check out this research done by Krishna Narsu via Hoop Informatics on Bluesky:

    How many games until team stats actually mean something?

    Thanks to research by @knarsu3.bsky.social this chart shows when each stat starts to stabilize and become reliable. After one game, everything’s noise!

    I’ll update you throughout the season to show which stats we can actually start trusting.

    [image or embed]

    — Hoop Informatics (@hoopinformatics.com) October 20, 2026 at 4:46 PM

    Now this is just team stats, but what composes a team’s stats? The players’ stats, that’s right! The individual stats won’t be as trustworthy early on as these team stats, but it still gives us an analog of what stats we should care about two weeks into the season.

    Notice 3-point percentage wayyyyyyyy at the far end of the graph? It takes nearly 30 games to trust a team’s 3-point percentage. That’s half a season! You expect me to trust a single player’s 3-point percentage in two weeks’ worth of games??? 2-point percentage and free-throw percentage do not lag too far behind either, both requiring about 14 and 18 games, respectively, from a team perspective to trust.

    You’ve probably heard (I guess read, technically) enough of my Debbie Downing over players’ hot starts. What can we actually trust? From research above, it is those rate-based stats! 3-point attempt rate, free-throw rate, and assist percentage can start being close to the pin with about 10 games of play. If a player is taking a ton of threes early on, we can expect that to continue. Vice versa, if a player is reluctant to take triples, it probably indicates that they don’t trust their jumper. Similarly, if a player is getting to a line a ton, we can expect that to continue.

    Assist percentage is a bit trickier when translating from team to player. Assist percentage can indicate a team’s general philosophy. Are they running more of a heavy pick-and-roll offense? Is it more isolation-based? One with more emphasis on cutting and motion actions? These principles will influence (and be influenced by) the main players on a team, but roles could shift over the course of the season. However, since players are typically placed within roles that are best suited for them, we can at least feel decently confident about the rate of assists if not necessarily the raw volume that would be dictated by minutes played. A shift in assist rate should indicate to us if a player has become more of a focal point in running the offense…or if a coach has lost faith in their ability to do so.

    With that lead-in out of the way, how can we apply the above knowledge to our dynasty teams? Let’s examine some players’ hot starts and apply the above thoughts to determine if these gains are real or not through the lens of each of these three stats.

    All stats below are from Basketball Reference and through 11/1 unless otherwise stated.

    Three-Point Rate

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