Bucks & Cam Thomas: Trade Rumors

If all of Wisconsin holds its breath before the “trade deadline”, when we know that Giannis Antetokounmpo is closer than ever to leaving, the Bucks nor do they intend to remain inactive on the market, studying all possible avenues on the side.

Thus, Hoopshype reports that the leaders of Milwaukee intend to strengthen themselves at the margins, by trying either to recover players with interesting potential or to recover Draft choices. By letting go, ideally, of small contracts to help other teams reduce their salary margin.

This is the reason why the name of Cam Thomas returns to the rumors. A proven scorer (21.6 points on average for three years), stuck in a replacement role with the Nets, he will be at the end of his contract at the end of the season and therefore represents a perfect bargaining chip. Brooklyn would therefore be wrong not to transfer him by Thursday, just to obtain compensation.

Fragile in his hamstrings, the 24-year-old fullback hoped to have a big season to finally break the bank in the summer of 2026, but he is currently struggling to do so with the New York franchise. A boon for Milwaukee?

The Bucks would in any case not only target Cam Thomas, since Hoopshype adds that D’Angelo Russell also appears on their shelves. Currently in Dallas to replace Kyrie Irving, he will also be able to test the market at the end of the season – if he declines his option – and his arrival would already compensate for the loss of Kevin Porter Jr. at the lead.

Cam Thomas Percentage Rebounds
Saison Team MJ Min Shots 3pts LF Off Def To Pd Fte Int Bp Ct Pts
2021-22 BKN 67 17:33 43.3 27.0 82.9 0.2 2.2 2.4 1.2 1.0 0.5 0.8 0.1 8.5
2022-23 BKN 57 16:38 44.1 38.3 86.8 0.1 1.5 1.7 1.4 1.0 0.4 1.1 0.1 10.6
2023-24 BKN 66 31:26 44.2 36.4 85.6 0.4 2.8 3.2 2.9 2.1 0.7 1.9 0.2 22.5
2024-25 BKN 25 31:14 43.8 34.9 88.1 0.6 2.7 3.3 3.8 1.8 0.6 2.5 0.1 24.0
2025-26 BKN 22 24:19 39.9 31.8 84.8 0.4 1.5 1.8 3.1 1.4 0.2 1.9 0.1 16.1

How to read the stats? MJ = matches played; Min = Minutes; Shots = Successful shots / Attempted shots; 3pts = 3-points / 3-points attempted; LF = free throws made / free throws attempted; Off = offensive rebound; Def=defensive rebound; Tot = Total rebounds; Pd = assists; Fte: Personal fouls; Int = Intercepts; Bp = Lost balls; Ct: Against; Pts = Points.

D’Angelo Russell Percentage Rebounds
Saison Team MJ Min Shots 3pts LF Off Def To Pd Fte Int Bp Ct Pts
2015-16 LAL 80 28:14 41.0 35.1 73.7 0.6 2.8 3.4 3.3 1.8 1.2 2.5 0.2 13.2
2016-17 LAL 63 30:16 40.5 35.2 78.2 0.5 3.0 3.5 4.8 2.1 1.4 2.8 0.3 15.6
2017-18 BKN 48 25:43 41.4 32.4 74.0 0.6 3.3 3.9 5.2 1.9 0.8 3.1 0.4 15.5
2018-19 BKN 81 30:13 43.4 36.9 78.0 0.7 3.2 3.9 7.0 1.7 1.2 3.1 0.2 21.1
2019-20 GS 33 32:07 43.0 37.4 78.5 0.4 3.3 3.7 6.2 1.9 0.9 3.1 0.3 23.6
2019-20 MIN 12 32:40 41.2 34.5 87.3 0.3 4.3 4.6 6.6 1.8 1.4 3.8 0.3 21.7
2020-21 MIN 42 28:29 43.1 38.7 76.5 0.4 2.3 2.6 5.8 1.6 1.1 2.7 0.4 19.0
2021-22 MIN 65 31:57 41.1 34.0 82.5 0.4 2.9 3.3 7.1 2.0 1.0 2.5 0.3 18.1
2022-23 LAL 17 30:56 48.4 41.4 73.5 0.4 2.5 2.9 6.1 1.4 0.6 2.3 0.5 17.4
2022-23 MIN 54 32:56 46.5 39.1 85.6 0.5 2.5 3.1 6.2 2.2 1.1 2.7 0.4 17.9
2023-24 LAL 76 32:41 45.6 41.5 82.8 0.4 2.7 3.1 6.3 2.1 0.9 2.1 0.5 18.0
2024-25 LAL 29 26:19 41.5 33.3 84.9 0.3 2.5 2.8 4.7 1.8 0.8 1.7 0.1 12.4
2024-25 BKN 29 24:43 36.7 29.7 82.6 0.4 2.4 2.8 5.6 2.1 1.1 2.0 0.7 12.9
2025-26 DAL 26 19:02 40.5 29.5 71.7 0.3 2.0 2.3 4.0 1.2 0.5 1.9 0.1 10.2

How to read the stats? MJ = matches played; Min = Minutes; Shots = Successful shots / Attempted shots; 3pts = 3-points / 3-points attempted; LF = free throws made / free throws attempted; Off = offensive rebound; Def=defensive rebound; Tot = Total rebounds; Pd = assists; Fte: Personal fouls; Int = Intercepts; Bp = Lost balls; Ct: Against; Pts = Points.

Sofia Reyes

Sofia Reyes covers basketball and baseball for Archysport, specializing in statistical analysis and player development stories. With a background in sports data science, Sofia translates advanced metrics into compelling narratives that both casual fans and analytics enthusiasts can appreciate. She covers the NBA, WNBA, MLB, and international basketball competitions, with a particular focus on emerging talent and how front offices build winning rosters through data-driven decisions.

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