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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 · guards

92 players with 500+ shots · league 1.09 points per shot
#PlayerShot makingMakingShot selectionSelectionPts per shotPPSExpectedxPPSShotsFGA
1Jamal SheadG · TOR-16.64th-0.02532nd0.901.07504
2Bilal CoulibalyG · WAS-14.58th+0.02464th0.971.12541
3Jeremiah FearsG · NOP-12.911th+0.00554th0.971.101008
4De'Anthony MeltonG · GSW-12.112th-0.02135th0.951.07529
5Jalen GreenG · PHX-10.413th-0.00546th0.981.09512
6Dennis SchroderG · CHA-10.314th-0.05812th0.931.03629
7Brandon WilliamsG · GSW-10.214th+0.01459th1.001.10616
8Cason WallaceG · OKC-9.915th+0.04475th1.041.13584
9Jordan GoodwinG · PHX-9.517th+0.02967th1.031.12556
10Bennedict MathurinG-F · NOP-9.317th-0.02730th0.971.06676
11Anthony BlackG · ORL-9.218th+0.01961st1.021.11773
12Daniss JenkinsG · DET-9.118th-0.05812th0.941.03567
13Dyson DanielsG · ATL-8.719th+0.05982nd1.061.15777
14Stephon CastleG · SAS-7.821st+0.02464th1.041.12816
15Ausar ThompsonG-F · DET-7.821st+0.05178th1.061.14575
16Luguentz DortG · ATL-7.721st-0.00447th1.011.09521
17Nique CliffordG · SAC-7.323rd-0.05313th0.961.04596
18Aaron WigginsG · ATL-6.825th+0.01760th1.041.11536
19Shaedon SharpeG · POR-6.226th-0.00746th1.021.08868
20VJ EdgecombeG · PHI-6.226th-0.00844th1.021.081029
21Bruce BrownG · NYK-6.126th+0.02766th1.061.12523
22Russell WestbrookG · SAC-5.329th-0.03226th1.011.06839
23Josh GiddeyG · CHI-5.329th+0.00151st1.041.09717
24Kevin Porter Jr.G · MIL-4.831st-0.02433rd1.021.07514
25Quentin GrimesG · LAL-4.831st+0.02565th1.071.12755
26Derrick WhiteG · BOS-4.134th-0.0746th0.981.021109
27Kevin HuerterG · DET-3.935th+0.01961st1.071.11596
28Dylan HarperG · SAS-3.636th+0.04777th1.101.14656
29Amen ThompsonG-F · HOU-2.838th+0.02867th1.091.121044
30Aaron NesmithG-F · IND-2.838th-0.03027th1.031.06512
31Jordan ClarksonG · NYK-2.739th-0.02829th1.041.06525
32Pelle LarssonG · MIA-2.440th+0.03471st1.101.13559
33Scottie BarnesG-F · TOR-1.843rd+0.00151st1.071.091123
34Jalen SuggsG · ORL-1.743rd-0.01738th1.061.07649
35Cade CunninghamG-F · DET-1.444th-0.05115th1.031.041189
36Coby WhiteG · CHA-1.345th-0.00447th1.071.09622
37Cedric CowardG · MEM-0.945th+0.00152nd1.081.09649
38LaMelo BallG · MIN-0.647th-0.05314th1.031.041244
39Dillon BrooksG-F · PHX-0.647th-0.0833rd1.001.01959
40Isaiah CollierG · UTA-0.150th-0.05017th1.041.04516
41Tyrese MaxeyG · PHI+0.552nd-0.02532nd1.071.071501
42Grayson AllenG · CHA+0.652nd-0.05215th1.041.04667
43Tre JonesG · CHI+0.653rd+0.07485th1.171.17617
44Tre JohnsonG · WAS+0.753rd-0.0833rd1.021.01647
45Devin BookerG · PHX+0.754th-0.0843rd1.011.011197
46Donte DiVincenzoG · MIN+0.854th+0.00454th1.101.10836
47Jaime Jaquez Jr.G · MIL+0.955th-0.02433rd1.081.07916
48James HardenG · CLE+0.955th-0.04220th1.061.051123
49Andrew NembhardG-F · IND+1.056th-0.0765th1.031.02754
50Ajay MitchellG · OKC+1.759th-0.03523rd1.071.06590

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.