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

Micah PeavyG-F · NOPPartly real
Minutes+12.0

8 games since Mar 27 vs the 53 games before

Peavy's playing time is up 12.0 minutes a game over his 8 games since Mar 27 (25.4 vs 13.4). Most of it is a teammate's absence: Trey Murphy III (35 MPG before) played only 2 of 8 games, plus 1 more key player out. Partly real: about half should hold.

  • Teammate outTrey Murphy III (35 MPG before) played only 2 of 8 games, plus 1 more key player out (about 99% of the change)
Trey Murphy IIIF · NOPProbably real
TS%-6.4 pts

Last 25 games of the season vs the 41 games before

Murphy III's TS% is down 6.4 points over his last 25 games of the season (57.3% vs 63.8%). Most of it is shot-making: his TS% was 0.7 points below what his shot spots predict (4.1 points above before), after Dejounte Murray joined the rotation. Probably real: about 70% should hold.

  • Shot-makingHis TS% was 0.7 points below what his shot spots predict (4.1 points above before) (about 75% of the change)
  • New teammateDejounte Murray joined the rotation on Feb 24 and played 27.9 MPG
  • Shot dietHis rim share of shots went from 29% to 23% (about 25% of the change)
Karlo MatkovicF-C · NOPProbably real
Rim share-14 pts

Last 25 games of the season vs the 37 games before

Matkovic's rim share is down 14 points over his last 25 games of the season (44% vs 58%). The likely reason: Dejounte Murray joined the rotation on Feb 24 and played 27.9 MPG. Also a teammate's absence: Jordan Poole (25 MPG before) played only 9 of 26 games. Probably real: about 60% should hold.

  • New teammateDejounte Murray joined the rotation on Feb 24 and played 27.9 MPG
  • Teammate outJordan Poole (25 MPG before) played only 9 of 26 games
Saddiq BeyF · NOPProbably real
Points+5.5

34 games since Jan 21 vs the 38 games before

Bey's scoring is up 5.5 points a game over his 34 games since Jan 21 (20.5 vs 15.1). Much of it is shot volume: his shots per 36 minutes (counting free throw trips) went from 16.2 to 18.9. Also playing time: his minutes went from 29.9 to 32.8 a game. Probably real: about 80% should hold.

  • Shot volumeHis shots per 36 minutes (counting free throw trips) went from 16.2 to 18.9 (about 50% of the change)
  • MinutesHis minutes went from 29.9 to 32.8 a game (about 27% of the change)
  • EfficiencyHis TS% went from 56.0% to 59.7% (about 23% of the change)
Karlo MatkovicF-C · NOPPartly real
Corner-3 share+13 pts

Last 25 games of the season vs the 37 games before

Matkovic's corner-3 share is up 13 points over his last 25 games of the season (28% vs 14%). The likely reason: Dejounte Murray joined the rotation on Feb 24 and played 27.9 MPG. Also a teammate's absence: Jordan Poole (25 MPG before) played only 9 of 26 games. Partly real: about 60% should hold.

  • New teammateDejounte Murray joined the rotation on Feb 24 and played 27.9 MPG
  • Teammate outJordan Poole (25 MPG before) played only 9 of 26 games
Herbert JonesF · NOPProbably real
Above-the-break 3 share+12 pts

Last 25 games of the season vs the 31 games before

Jones's above-the-break 3 share is up 12 points over his last 25 games of the season (42% vs 31%). The likely reason: Dejounte Murray joined the rotation on Feb 24 and played 27.9 MPG. Also a teammate's absence: Jordan Poole (25 MPG before) played only 9 of 25 games. Probably real: about 65% should hold.

  • New teammateDejounte Murray joined the rotation on Feb 24 and played 27.9 MPG
  • Teammate outJordan Poole (25 MPG before) played only 9 of 25 games
Zion WilliamsonF · NOPProbably real
Usage-5.6 pts

37 games since Jan 13 vs the 25 games before

Williamson's usage is down 5.6 points over his 37 games since Jan 13 (23.8% vs 29.3%). The likely reason: Dejounte Murray joined the rotation on Feb 24 and played 27.9 MPG. Probably real: about 65% should hold.

  • New teammateDejounte Murray joined the rotation on Feb 24 and played 27.9 MPG
Karlo MatkovicF-C · NOPProbably real
3-point rate+9 pts

Last 25 games of the season vs the 37 games before

Matkovic's 3-point rate is up 9 points over his last 25 games of the season (43% vs 34%). The likely reason: Dejounte Murray joined the rotation on Feb 24 and played 27.9 MPG. Also a teammate's absence: Jordan Poole (25 MPG before) played only 9 of 26 games. Probably real: about 70% should hold.

  • New teammateDejounte Murray joined the rotation on Feb 24 and played 27.9 MPG
  • Teammate outJordan Poole (25 MPG before) played only 9 of 26 games
Herbert JonesF · NOPProbably real
Rim share-10 pts

Last 25 games of the season vs the 31 games before

Jones's rim share is down 10 points over his last 25 games of the season (23% vs 33%). The likely reason: Dejounte Murray joined the rotation on Feb 24 and played 27.9 MPG. Also a teammate's absence: Jordan Poole (25 MPG before) played only 9 of 25 games. Probably real: about 60% should hold.

  • New teammateDejounte Murray joined the rotation on Feb 24 and played 27.9 MPG
  • Teammate outJordan Poole (25 MPG before) played only 9 of 25 games
Saddiq BeyF · NOPProbably real
Usage+4.2 pts

34 games since Jan 21 vs the 38 games before

Bey's usage is up 4.2 points over his 34 games since Jan 21 (24.0% vs 19.7%). The likely reason: Jordan Poole (26 MPG before) played only 11 of 34 games. Probably real: about 70% should hold.

  • Teammate outJordan Poole (26 MPG before) played only 11 of 34 games
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.