Players whose game really moved: more minutes, a bigger role, a new shot diet. Each change comes with the likely reason and how much of it should hold.
The 2026-27 season does not have enough games yet, so this shows 2025-26: each player's last 25 games (or his games since a role change or a trade) against the rest of his season. Once players have about 20 games this season, the page switches to this season by itself.
Biggest real changes
279 of 393 players flagged
Showing 8 changes, biggest first (size after the "is it real?" pull). Clear filters
Achiuwa's scoring is up 8.6 points a game over his 25 games since Feb 19 (15.7 vs 7.1). The likely reason: Zach LaVine (31 MPG before) missed all 26 games, plus 4 more key players out. Also playing time: his minutes went from 20.3 to 30.9 a game. Probably real: about 75% should hold.
Teammate outZach LaVine (31 MPG before) missed all 26 games, plus 4 more key players out
MinutesHis minutes went from 20.3 to 30.9 a game (about 44% of the change)
Shot volumeHis shots per 36 minutes (counting free throw trips) went from 11.8 to 15.8 (about 42% of the change)
Achiuwa's playing time is up 10.6 minutes a game over his 25 games since Feb 19 (30.9 vs 20.3). Most of it is a teammate's absence: Zach LaVine (31 MPG before) missed all 26 games, plus 4 more key players out. Probably real: about 75% should hold.
Teammate outZach LaVine (31 MPG before) missed all 26 games, plus 4 more key players out (about 100% of the change)
Achiuwa's rebounding is up 3.8 rebounds a game over his 25 games since Feb 19 (9.2 vs 5.4). Most of it is playing time: his minutes went from 20.3 to 30.9 a game, with Zach LaVine out. Probably real: about 65% should hold.
MinutesHis minutes went from 20.3 to 30.9 a game (about 75% of the change)
Teammate outZach LaVine (31 MPG before) missed all 26 games, plus 4 more key players out
Per-minute rateHis rebounds per 36 minutes went from 9.6 to 10.8 (about 25% of the change)
Achiuwa's usage is up 4.8 points over his 25 games since Feb 19 (20.4% vs 15.6%). The likely reason: Zach LaVine (31 MPG before) missed all 26 games, plus 4 more key players out. Probably real: about 65% should hold.
Teammate outZach LaVine (31 MPG before) missed all 26 games, plus 4 more key players out
Hunter's playing time is down 5.4 minutes a game over his 17 games since Dec 27 (22.8 vs 28.2). Most of it is the starting role change: he started 2 of 17 games, down from 23 of 28. Probably real: about 70% should hold.
Starting roleHe started 2 of 17 games, down from 23 of 28 (about 65% of the change)
Hunter's scoring is down 4.2 points a game over his 17 games since Dec 27 (11.1 vs 15.3). Most of it is playing time: his minutes went from 28.2 to 22.8 a game, after he moved to the bench. Probably real: about 70% should hold.
MinutesHis minutes went from 28.2 to 22.8 a game (about 69% of the change)
Starting roleHe started 2 of 17 games, down from 23 of 28 (about 45% of the change)
EfficiencyHis TS% went from 56.7% to 50.1% (about 35% of the change)
Eubanks's playing time is down 5.1 minutes a game over his 21 games since Dec 3 (10.7 vs 15.8). Most of it is the starting role change: he started 1 of 21 games, down from 10 of 21. Probably real: about 70% should hold.
Starting roleHe started 1 of 21 games, down from 10 of 21 (about 71% of the change)
Achiuwa's TS% is up 4.5 points over his 25 games since Feb 19 (58.0% vs 53.5%). Most of it is shot-making: his TS% was 0.9 points above what his shot spots predict (4.4 points below before), with Zach LaVine out. Probably real: about 60% should hold.
Shot-makingHis TS% was 0.9 points above what his shot spots predict (4.4 points below before) (about 100% of the change)
Teammate outZach LaVine (31 MPG before) missed all 26 games, plus 4 more key players out
Every night we split each player's regular season (8+ games on each side) in one of three ways, in this order: the day he joined a new team; the game after which his minutes and usage shifted the most (a simple two-part split); or, if neither moved much, his last 10 games. Until the new season has enough games (about 20 each for most players) we use last season and its last 25 games, which catches the roles that changed at the trade deadline.
Is it big?
A change counts as big when it reaches:
Points: 4 points a game
Minutes: 5 minutes a game
Usage: 4 points
TS%: 4 points
3P%: 5 points
3-point rate: 8 points
Rim share: 8 points
Midrange share: 8 points
Corner-3 share: 8 points
Above-the-break 3 share: 8 points
Assists: 2 assists a game
Rebounds: 2.5 rebounds a game
Players need 15+ minutes a game on one side. Shooting needs 40+ threes or 60+ shots on each side.
Is it real?
Both windows are pulled toward the player's whole season by a fixed amount of weight M, the sample size where a stat is half skill and half luck: (window x n + season x M) / (n + M). A change is shown only if the pulled gap keeps at least half of the raw gap: Probably real keeps 60% or more, Partly real keeps 50 to 59%, anything less is Mostly noise and stays off the feed.
M values: 3P% 501 threes, TS% 218 shots and points 9.7 games, from Is it real?; minutes 9.4, usage 17, assists 18.9, rebounds 18.1, 3-point rate 13.9, rim share 18.2, midrange 16.8, corner 3 21.6 and above the break 15.4 games, measured on 1,766 pairs of back-to-back 10-game stretches in 2025-26. That is why 3P% changes almost never make it: threes are mostly luck until a player has taken hundreds.
Causes
Rules, each with a number. Points split exactly into minutes, shot volume and efficiency. Assists and rebounds split into minutes and per-minute rate. TS% and 3P% split into shot diet (league FG% from the spots he shot from) and shot-making (the rest). Context: a new team, a move into or out of the starting five (starting lineups from our stint data), key teammates (25+ minutes before) who missed most of the window, a new rotation player (20+ minutes), and opponents' defensive rating. We keep causes that explain 15%+ of the change and show the top three.
What we measured
Backtest on 2025-26: we ran this as if the season stopped on 3 dates and checked each flag against the rest of the season. Probably real changes kept 71% of their size on average (we predicted 66%) and 88% kept going the same way (301 flags). Partly real kept 60% (predicted 55%). Mostly noise kept 39% (predicted 33%), so the pull is a little cautious, which is the safe side.
Latest run: 393 players checked, 447 probably real and 180 partly real changes, and 273 big swings left out as mostly noise.
What it cannot see
Injuries a player played through, coaching decisions, matchups and schemes, and anything off the box score. Missing teammates are read from who played, not the injury report. Causes are rough splits, not proof; when nothing in our data fits we say so.
