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2025-26 regular season

Shot quality

Shot selection: how many points a player's shots are worth before anyone shoots them. Shot making: how many more (or fewer) he actually scores.

Reading it: +5 shot making means 5 more points per 100 shots than an average shooter would score on the same shots. +0.05 shot selection means each shot is worth 0.05 more points than the league's typical shot.

Highest shot making

350 players with 200+ shots · league 1.09 points per shot
#PlayerShot makingMakingShot selectionSelectionPts per shotPPSExpectedxPPSShotsFGA
1Luke KennardG · PHX+26.799th-0.02631st1.331.07442
2Jaxson HayesC · UTA+24.799th+0.18498th1.521.28262
3Deandre AytonC · WAS+19.999th+0.05178th1.341.14601
4Ryan KalkbrennerC · CHA+19.599th+0.21999th1.511.31291
5Kevin DurantF · HOU+19.499th-0.1091st1.180.981375
6Cam SpencerG · MEM+18.999th-0.0717th1.211.02556
7Nikola JokicC · DEN+18.398th-0.03722nd1.241.051134
8Anthony GillF · WAS+18.298th+0.06283rd1.331.15215
9Jakob PoeltlC · TOR+17.798th+0.13294th1.401.22310
10Robert Williams IIIC-F · POR+17.597th+0.18598th1.451.28250
11Isaiah JoeG · DET+17.197th-0.01937th1.241.07543
12Luka GarzaC · BOS+16.697th+0.05179th1.311.14357
13Sam MerrillG · CLE+16.497th-0.00745th1.251.08484
14Rui HachimuraF · LAC+16.196th-0.03028th1.221.06597
15Maxime RaynaudC · SAC+15.596th-0.0698th1.181.02671
16Shai Gilgeous-AlexanderG · OKC+15.296th-0.05115th1.191.041322
17A.J. GreenG · MIL+15.295th-0.02036th1.221.07618
18Micah PotterF · POR+14.495th+0.03872nd1.271.13293
19Duncan RobinsonF · DET+14.295th-0.00744th1.231.08698
20Karlo MatkovicF-C · NOP+14.295th+0.13795th1.371.23235
21Stephen CurryG · GSW+13.994th-0.05612th1.171.04799
22Bobby PortisF · MIA+13.994th-0.0746th1.161.02750
23Ty JeromeG · MEM+13.594th-0.0824th1.141.01215
24Josh MinottF · BKN+13.593rd+0.02866th1.251.12252
25Jarrett AllenC · CLE+13.293rd+0.05882nd1.281.15527
26T.J. McConnellG · IND+13.193rd-0.1121st1.110.98450
27Baylor ScheiermanG · BOS+12.993rd-0.02234th1.201.07333
28Tim Hardaway Jr.G · MIA+12.692nd-0.03424th1.181.06778
29Kon KnueppelG-F · CHA+12.592nd-0.01440th1.201.081084
30Paul ReedF · DET+12.492nd+0.05681st1.271.15339
31Oso IghodaroF · PHX+12.491st+0.09189th1.311.18366
32Kawhi LeonardF · TOR+12.391st-0.0688th1.151.021258
33Svi MykhailiukG · UTA+12.391st+0.01358th1.231.10362
34Jamal MurrayG · DEN+12.291st-0.0707th1.141.021356
35Luka DoncicF-G · LAL+12.290th-0.0882nd1.131.001457
36Jalen DurenC · DET+11.790th+0.09290th1.301.18803
37Tyler HerroG · MIL+11.690th-0.0852nd1.121.01515
38John CollinsF-C · DET+11.489th+0.03571st1.241.13659
39Neemias QuetaC · BOS+11.389th+0.10491st1.311.20499
40Payton PritchardG · BOS+10.989th-0.0785th1.121.011091
41Royce O'NealeF · CHA+10.889th-0.02036th1.181.07623
42Sam HauserF · BOS+10.688th-0.02928th1.171.06601
43Marvin Bagley IIIF · DEN+10.588th+0.10291st1.301.19410
44Vit KrejciG · POR+10.288th-0.00347th1.191.09430
45Olivier-Maxence ProsperF · MEM+9.987th+0.07887th1.271.17350
46Nicolas BatumF-G · LAC+9.887th+0.00453rd1.191.09238
47DeMar DeRozanG · DEN+9.387th-0.1451st1.040.951005
48Anfernee SimonsG · PHI+9.387th-0.0794th1.101.01648
49Zach LaVineG · SAC+9.386th-0.04518th1.141.05547
50Anthony EdwardsG · MIN+9.186th-0.03722nd1.151.051232

Percentiles are among all players with 200+ shots. Tap a player for his shot chart in the Quality view.

How this works

The method

Every shot gets an expected make chance from a logistic regression fit on 219,152 2025-26 regular-season shots. It uses only what the play-by-play records: distance (2 ft steps), two or three, corner three, paint or midrange, shot type (layup or dunk, jumper, floater or hook), fourth quarter or overtime, the last 24 seconds of a period, and home or away.

Expected points = make chance x 2 or 3. Shot selection is a player's expected points per shot minus the league's (1.091). Shot making is actual minus expected points, per 100 shots. Players need 200+ shots to be ranked. Free throws are not included.

The test

  • Fit on 175,364 shots, tested on 43,788 shots from 246 games it never saw (a random 20% of games).
  • AUC 0.644 (0.5 is a coin flip, 1.0 is perfect). A zone-only average scores 0.632.
  • Log loss 0.653 vs 0.659 for zone only and 0.692 for one league-wide FG% (lower is better). Brier score 0.231.
  • Test games: league FG% 47.3%, mean predicted 47.0%.
  • All shots: 239,129 actual points from field goals vs 239,153 expected (+0.01%).
30%30%40%40%50%50%60%60%70%70%80%80%Group 1: predicted 32.7%, actual 32.2% (4071 shots)Group 2: predicted 35.0%, actual 35.9% (3336 shots)Group 3: predicted 35.9%, actual 37.3% (3123 shots)Group 4: predicted 37.6%, actual 38.1% (6971 shots)Group 5: predicted 40.8%, actual 41.9% (4391 shots)Group 6: predicted 43.4%, actual 43.6% (4375 shots)Group 7: predicted 45.6%, actual 45.2% (4251 shots)Group 8: predicted 56.7%, actual 55.7% (4334 shots)Group 9: predicted 65.4%, actual 65.1% (4029 shots)Group 10: predicted 73.7%, actual 75.1% (4907 shots)Predicted make chanceActual make rate
Test shots split into ten groups by predicted chance. Dots on the dashed diagonal mean the predictions match reality.

What it cannot see

  • How close the nearest defender was. A wide-open three and a contested one look the same.
  • Play type (catch and shoot, pull-up, post-up, putback) and the shot clock.
  • Who the shooter is. That is on purpose: the gap between actual and expected is the shot making.
  • Fouls and and-ones, so drawing contact is not credited here.
  • Playoff defense: on 2025-26 playoff shots it predicted about 4.5% more points than were scored.

Shot making is noisy: over 300 shots, luck alone moves it by about 6 points per 100 either way.