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Last season (2025-26)

What changed?

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 9 changes, biggest first (size after the "is it real?" pull). Clear filters

Taelon PeterG · INDProbably real
Minutes+16.0

17 games since Jan 17 vs the 21 games before

Peter's playing time is up 16.0 minutes a game over his 17 games since Jan 17 (21.8 vs 5.8). Much of it is a teammate's absence: Bennedict Mathurin (32 MPG before) left the team. Probably real: about 65% should hold.

  • Teammate outBennedict Mathurin (32 MPG before) left the team (about 45% of the change)
Kam JonesG · INDProbably real
Minutes+12.7

22 games since Feb 8 vs the 15 games before

Jones's playing time is up 12.7 minutes a game over his 22 games since Feb 8 (21.7 vs 9.1). Most of it is a teammate's absence: Bennedict Mathurin (32 MPG before) left the team, plus 2 more key players out. Probably real: about 65% should hold.

  • Teammate outBennedict Mathurin (32 MPG before) left the team, plus 2 more key players out (about 100% of the change)
Johnny FurphyG · INDProbably real
Minutes+8.4

17 games since Jan 6 vs the 18 games before

Furphy's playing time is up 8.4 minutes a game over his 17 games since Jan 6 (22.6 vs 14.2). Most of it is a teammate's absence: Bennedict Mathurin (32 MPG before) left the team, after he moved into the starting five. Probably real: about 65% should hold.

  • Teammate outBennedict Mathurin (32 MPG before) left the team (about 73% of the change)
  • Starting roleHe started 17 of 17 games, up from 4 of 18 (about 65% of the change)
Taelon PeterG · INDProbably real
Points+6.5

17 games since Jan 17 vs the 21 games before

Peter's scoring is up 6.5 points a game over his 17 games since Jan 17 (8.1 vs 1.6). Most of it is playing time: his minutes went from 5.8 to 21.8 a game, with Bennedict Mathurin gone. Probably real: about 65% should hold.

  • MinutesHis minutes went from 5.8 to 21.8 a game (about 66% of the change)
  • Teammate outBennedict Mathurin (32 MPG before) left the team
  • EfficiencyHis TS% went from 45.0% to 53.7% (about 20% of the change)
Quenton JacksonG · INDPartly real
Rim share+12 pts

25 games since Feb 10 vs the 24 games before

Jackson's rim share is up 12 points over his 25 games since Feb 10 (47% vs 35%). The likely reason: Bennedict Mathurin (32 MPG before) left the team, plus 2 more key players out. Also a new teammate: Kobe Brown joined the rotation on Feb 10 and played 24.8 MPG. Partly real: about 55% should hold.

  • Teammate outBennedict Mathurin (32 MPG before) left the team, plus 2 more key players out
  • New teammateKobe Brown joined the rotation on Feb 10 and played 24.8 MPG
Quenton JacksonG · INDProbably real
Minutes+5.9

25 games since Feb 10 vs the 24 games before

Jackson's playing time is up 5.9 minutes a game over his 25 games since Feb 10 (21.2 vs 15.3). Most of it is a teammate's absence: Bennedict Mathurin (32 MPG before) left the team, plus 2 more key players out. Probably real: about 70% should hold.

  • Teammate outBennedict Mathurin (32 MPG before) left the team, plus 2 more key players out (about 100% of the change)
Aaron NesmithG-F · INDPartly real
TS%+6.0 pts

Last 25 games of the season vs the 20 games before

Nesmith's TS% is up 6.0 points over his last 25 games of the season (58.3% vs 52.3%). Most of it is shot-making: his TS% was 1.7 points above what his shot spots predict (5.4 points below before), with Bennedict Mathurin gone. Partly real: about 55% should hold.

  • Shot-makingHis TS% was 1.7 points above what his shot spots predict (5.4 points below before) (about 100% of the change)
  • Teammate outBennedict Mathurin (32 MPG before) left the team
  • New teammateKobe Brown joined the rotation on Feb 10 and played 23.0 MPG
Ben SheppardG · INDProbably real
Rim share+10 pts

Last 25 games of the season vs the 40 games before

Sheppard's rim share is up 10 points over his last 25 games of the season (34% vs 24%). The likely reason: Bennedict Mathurin (32 MPG before) left the team. Also a new teammate: Kobe Brown joined the rotation on Feb 10 and played 23.9 MPG. Probably real: about 60% should hold.

  • Teammate outBennedict Mathurin (32 MPG before) left the team
  • New teammateKobe Brown joined the rotation on Feb 10 and played 23.9 MPG
Quenton JacksonG · INDPartly real
Assists+2.0

25 games since Feb 10 vs the 24 games before

Jackson's assists are up 2.0 assists a game over his 25 games since Feb 10 (3.8 vs 1.8). Most of it is per-minute production: his assists per 36 minutes went from 4.3 to 6.5, with Bennedict Mathurin gone. Partly real: about 55% should hold.

  • Per-minute rateHis assists per 36 minutes went from 4.3 to 6.5 (about 65% of the change)
  • Teammate outBennedict Mathurin (32 MPG before) left the team, plus 2 more key players out
  • MinutesHis minutes went from 15.3 to 21.2 a game (about 35% of the change)
How this works

Windows

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.