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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.

Lowest shot making · forwards

110 players with 300+ shots · league 1.09 points per shot
#PlayerShot makingMakingShot selectionSelectionPts per shotPPSExpectedxPPSShotsFGA
1Nikola JovicF · MIA-22.21st+0.00755th0.881.10314
2Nae'Qwan TomlinF · CLE-19.21st+0.14696th1.041.24313
3Herbert JonesF · NOP-18.82nd+0.02866th0.931.12479
4Ronald Holland IIF · DET-18.33rd+0.04777th0.961.14544
5Danny WolfF-C · BKN-15.86th+0.03068th0.961.12440
6Patrick WilliamsF · CHI-14.87th0.00050th0.941.09478
7Drake PowellF · BKN-13.79th-0.00844th0.951.08358
8Isaac OkoroF-G · CHI-13.410th+0.12493rd1.081.21458
9Tari EasonF · HOU-13.110th+0.03168th0.991.12580
10Ryan DunnF · PHX-10.613th+0.07586th1.061.17362
11Guerschon YabuseleF · CHI-10.413th+0.03572nd1.021.13312
12Cody WilliamsF · MIN-10.115th-0.00150th0.991.09509
13Paolo BancheroF · ORL-9.816th-0.00248th0.991.091152
14Noah ClowneyF · BKN-9.616th+0.00152nd1.001.09631
15Jonathan KumingaF · MIN-9.516th+0.02866th1.021.12338
16Dominick BarlowF · PHI-9.317th+0.12794th1.121.22401
17P.J. WashingtonF · DAL-8.320th+0.00856th1.021.10657
18Draymond GreenF · GSW-8.220th+0.03168th1.041.12491
19De'Andre HunterF · SAC-7.523rd-0.03821st0.981.05502
20Jake LaRaviaF · LAL-7.024th+0.04676th1.071.14523
21Deni AvdijaF · POR-6.924th+0.01861st1.041.111066
22Matas BuzelisF · CHI-5.926th+0.07385th1.111.16963
23Keegan MurrayF · SAC-5.727th-0.0911st0.941.00300
24Justin ChampagnieF · WAS-5.628th+0.08488th1.121.18462
25Saddiq BeyF · NOP-5.528th+0.02363rd1.061.11966
26Zaccharie RisacherF · DAL-5.528th+0.05380th1.091.14537
27Anthony DavisF-C · WAS-5.329th+0.00454th1.041.10334
28Will RileyF · WAS-5.130th-0.03722nd1.001.05618
29Taylor HendricksF · MEM-4.831st+0.05380th1.101.14355
30Jarace WalkerF · IND-4.532nd-0.02730th1.021.06733
31Cooper FlaggF · DAL-4.233rd-0.05314th1.001.041194
32Collin Murray-BoylesF · TOR-4.133rd+0.15797th1.211.25342
33Miles BridgesF · PHX-4.134th+0.00957th1.061.101041
34Julius RandleF · BKN-4.034th+0.00151st1.051.091208
35Ousmane DiengF · MIL-3.935th-0.05016th1.001.04398
36Precious AchiuwaF · SAC-3.137th+0.04375th1.101.13597
37Jaylen WellsF · MEM-2.738th-0.01738th1.051.07698
38Nicolas ClaxtonF-C · CHI-2.739th+0.08388th1.151.17583
39RJ BarrettF-G · TOR-2.739th+0.03672nd1.101.13816
40Khris MiddletonF · WAS-2.640th-0.1001st0.960.99540
41Derrick Jones Jr.F-G · LAC-2.540th+0.07686th1.141.17379
42Franz WagnerF · ORL-2.141st-0.01341st1.061.08507
43Simone FontecchioF · MIA-2.042nd+0.01659th1.091.11470
44GG JacksonF · MEM-1.942nd+0.04174th1.111.13513
45Jerami GrantF · MEM-1.842nd+0.02263rd1.091.11729
46Airious BaileyF · UTA-1.744th-0.03523rd1.041.06892
47Kelly Oubre Jr.F · IND-1.544th+0.01659th1.091.11544
48Kyle KuzmaF · MIL-1.444th+0.02765th1.101.12689
49Kristaps PorzingisF-C · GSW-0.846th-0.05215th1.031.04388
50Evan MobleyF-C · CLE-0.746th+0.08087th1.161.17859

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.