Every player
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How to read this page

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Team tables split by side of the ball, and the Side control hides the half you are not reading. The roster is everyone who played for the team that season, not who is on it now, so a player since traded away stays in the season he played. A dash means no number for that cell, or a zero in a roster column that counts.

DET

Detroit Pistons

Players
31 of 31
Player
Cade CunninghamPG6332.922.34.37.444.9%35.5%54.6%0.1
Jaden IveySG7728.815.43.43.842.9%33.6%53.6%-2.9
Jalen DurenC6228.713.611.42.461.9%0%65.3%-0.2
Marcus SasserPG71198.31.83.342.8%37.5%54.2%-2.5
Bojan BogdanovicPF2931.819.53.22.446.8%41.5%60%—
Ausar ThompsonSF6424.78.76.31.948.3%18.6%52.2%-2.2
Alec BurksSG432112.62.61.639.4%40.1%58.1%—
Isaiah StewartC4730.310.76.51.648.8%38.5%60.1%-2.5
James WisemanC6317.37.15.30.961.3%0%63.7%-3.2
Killian HayesPG42246.92.84.941.3%29.7%47.4%-2.7
Marvin Bagley IIIC2618.410.24.5159.1%16.7%63.8%—
Simone FontecchioSF1728.514.54.11.647.9%42.6%61.3%—
Kevin Knox IISF3118.17.22.40.746.2%33%57%-3.8
Evan FournierSG2918.77.21.91.637.3%27%48.2%—
Malachi FlynnPG2414.381.82.143%31.6%52.8%—
Chimezie MetuPF1429.410.561.950%30.2%59.6%—
Stanley UmudeSF2512.35.120.444%45.3%64.7%-2.2
Isaiah LiversSF2419.64.82134.5%28.6%46%-5.9
Troy Brown Jr.SF22194.23.31.129.6%28.1%40.6%—
Tosan EvbuomwanPF1322.573.50.857.1%41.7%67.9%—
Jared RhodenSF1813.64.61.80.850%38.7%59.7%-2.1
Danilo GallinariPF614.98.72.3254.5%58.3%79.9%—
Mike MuscalaC1313.23.52.20.834.1%38.2%49.2%—
Joe HarrisSF17102.30.80.635.9%33.3%48.9%-5.8
Buddy BoeheimSG108.43.410.331%32%50.9%-3.9
Quentin GrimesSG716.54.61.7221.4%14.3%34.2%—
Jaylen NowellSG414.47.52.50.852.2%33.3%58.5%—
Monte MorrisPG79.83.91.71.136.4%18.2%39.8%—
Shake MiltonSG415.86.84.51.542.3%33.3%49.4%—
Taj GibsonPF57.83.61.80.457.1%50%64.3%—
Malcolm CazalonSG21.3——————-9.1

About NBA Research

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Every number the site holds for an NBA team and the players who played for it, in one place. Pick a team, a season and a set of games, and read it. Nothing here needs an account.

Where the numbers come from

The same tables the boards read, resolved through one shared definition per stat. A rate is computed over the whole window rather than averaged across games, so a season figure is not the mean of the nightly ones.