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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 · forwards

73 players with 500+ shots · league 1.09 points per shot
#PlayerShot makingMakingShot selectionSelectionPts per shotPPSExpectedxPPSShotsFGA
1Kevin DurantF · HOU+19.499th-0.1091st1.180.981375
2Rui HachimuraF · LAC+16.196th-0.03028th1.221.06597
3Duncan RobinsonF · DET+14.295th-0.00744th1.231.08698
4Bobby PortisF · MIA+13.994th-0.0746th1.161.02750
5Kawhi LeonardF · TOR+12.391st-0.0688th1.151.021258
6Luka DoncicF-G · LAL+12.290th-0.0882nd1.131.001457
7John CollinsF-C · DET+11.489th+0.03571st1.241.13659
8Royce O'NealeF · CHA+10.889th-0.02036th1.181.07623
9Sam HauserF · BOS+10.688th-0.02928th1.171.06601
10Jaden McDanielsF · MIN+7.583rd-0.00943rd1.161.08809
11Sandro MamukelashviliF · LAL+7.383rd+0.06483rd1.231.16631
12Brice SensabaughF · UTA+6.180th-0.04319th1.111.05857
13Trey Murphy IIIF · NOP+5.779th-0.00248th1.151.091049
14Mikal BridgesF · NYK+4.373rd+0.00756th1.141.10964
15Jaren Jackson Jr.F-C · UTA+4.272nd-0.06510th1.071.03719
16Norman PowellF-G · CHI+4.271st-0.01837th1.121.07895
17Paul GeorgeF · BOS+4.070th-0.05911th1.071.03513
18Naji MarshallF · DAL+3.970th-0.03425th1.101.06821
19Harrison BarnesF · SAS+3.769th+0.02665th1.151.12576
20Brandon IngramF · LAC+3.669th-0.0697th1.061.021288
21Giannis AntetokounmpoF · MIA+3.669th+0.14696th1.271.24598
22Michael Porter Jr.F · BKN+3.268th-0.01242nd1.111.08957
23Julian ChampagnieF · SAS+3.267th+0.03268th1.161.12690
24Naz ReidF-C · CHA+3.066th-0.02333rd1.101.07871
25Andrew WigginsF-G · MIA+2.665th+0.00253rd1.121.09820
26LeBron JamesF · PHI+2.464th-0.00348th1.111.09919
27Brandon MillerF · CHA+2.262nd-0.04717th1.071.041043
28Victor WembanyamaF-C · SAS+2.062nd+0.02564th1.141.121080
29Keldon JohnsonF · SAS+1.961st+0.05380th1.161.14797
30Onyeka OkongwuF-C · ATL+1.760th+0.02062nd1.131.11859
31Joel EmbiidF-C · PHI+1.659th-0.05314th1.051.04697
32Jay HuffF-C · IND+1.658th+0.04074th1.151.13611
33Tobias HarrisF · SAS+1.558th-0.04419th1.061.05659
34Zion WilliamsonF · NOP+1.458th+0.09691st1.201.19807
35KyShawn GeorgeF · WAS+1.256th-0.05413th1.051.04577
36Lauri MarkkanenF · UTA+1.156th-0.00546th1.101.09805
37Jabari Smith Jr.F · HOU+0.954th-0.02036th1.081.07975
38Pascal SiakamF · IND+0.854th-0.04120th1.061.051156
39Alperen SengunF-C · HOU+0.551st-0.02234th1.071.071123
40Tristan Da SilvaF · ORL+0.351st-0.00150th1.091.09620
41Toumani CamaraF · POR+0.250th+0.03369th1.131.12891
42Wendell Carter Jr.F · ORL+0.150th+0.04476th1.141.14637
43Jalen JohnsonF · ATL-0.448th-0.01440th1.071.081230
44OG AnunobyF · NYK-0.647th+0.07987th1.161.17803
45Evan MobleyF-C · CLE-0.746th+0.08087th1.161.17859
46Kyle KuzmaF · MIL-1.444th+0.02765th1.101.12689
47Kelly Oubre Jr.F · IND-1.544th+0.01659th1.091.11544
48Airious BaileyF · UTA-1.744th-0.03523rd1.041.06892
49Jerami GrantF · MEM-1.842nd+0.02263rd1.091.11729
50GG JacksonF · MEM-1.942nd+0.04174th1.111.13513

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.