Kings: Kuminga Trade Rumors

Where will play then Jonathan Kuminga after the trade deadline? It is the question that drives current affairs Warriors for several weeks, and even more so since this weekend, because Steve Kerr decided to do without him, by voluntarily inflicting a “DNP” on him in Chicago.

From January 15, the winger can however be transferred by Golden State and we imagine that its future will be written far from San Francisco. But not necessarily far from California, since ESPN indicates that the Kings would still be interested in his services.

However, if Malik Monk could still be part of a possible “deal”, this would no longer be the case for a future first round of Draft (protected 1-14 in 2030). Land at Sacramento would in any case offer Jonathan Kuminga (12.4 points, 6.3 rebounds, 2.6 assists) this starting power forward position that he has coveted for months, but that he recently lost with the Warriors.

Extended during the summer for $48.5 million over two years, with the second year as a “team option”, “JoKu” is as promising as it is frustrating when he plays and his transfer in January therefore seems inevitable.

Jonathan Kuminga Percentage Rebounds
Saison Team MJ Min Shots 3pts LF Off Def To Pd Fte Int Bp Ct Pts
2021-22 GS 70 16:56 51.3 33.6 68.4 0.8 2.6 3.3 0.9 2.1 0.4 1.1 0.3 9.3
2022-23 GS 67 20:48 52.5 37.0 65.2 1.0 2.4 3.4 1.9 2.3 0.6 1.4 0.5 9.9
2023-24 GS 74 26:20 52.9 32.1 74.6 1.2 3.6 4.8 2.2 2.3 0.7 1.6 0.5 16.1
2024-25 GS 47 24:20 45.4 30.5 66.8 1.2 3.4 4.6 2.2 1.9 0.8 1.5 0.4 15.3
2025-26 GS 17 25:39 43.8 32.0 74.1 1.6 4.7 6.3 2.6 1.8 0.3 2.5 0.4 12.4

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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