A Devin Booker All-Star Conspiracy Theory for the Phoenix Suns

Devin Booker Damian Lillard Phoenix Suns (Photo by Christian Petersen/Getty Images)
Devin Booker Damian Lillard Phoenix Suns (Photo by Christian Petersen/Getty Images)
2 of 4
Damian Lillard Phoenix Suns (Photo by Alika Jenner/Getty Images)
Damian Lillard Phoenix Suns (Photo by Alika Jenner/Getty Images)

So, it is True?

Damian Lillard is 29-years-old, and with his selection to the 2020 All-Star game, he is also now a five-time All-Star representative of the Portland Trail Blazers.

For lack of a better phrase: he has been there, and done that.

With his age too (and lack off missed games in his eight-year career: 25 total), he may have an eye towards both the long-term struggle, with the desire to rest as much as possible over the next week, rather than participate in both the All-Star Game and the 3-point shooting contest which would require him to stay “on” over a period of time he might very much just wish to sleep through.

While an All-Star appearance is certainly probably never old hat  to a player, with the fact that he had already been named to the team, whether or not he actually played in the game, he will forever be recognized as an All-Star this season.

He too has been carrying the franchise (although, much like Booker, not very far as Portland has fallen four games behind Memphis for the eight-seed in the playoffs), averaging career-highs in scoring, field goals both made and attempted per game, as well as assists, while averaging career-highs in both 3-pointers both made and attempted, falling just .001 his career-high beyond the arc (.394 in 2013-14).

It is very possible that Lillard is exhausted and did not want to fully participate in the All-Star festivities (maybe he is like me, and doesn’t care for the manner in which the teams are selected), and used the injury (or at least the appearance of a severe-enough injury) to back out of the entire weekend all together.

But if any of that is true, why did he single out Devin Booker?

Loading recommendations... Please wait while we load personalized content recommendations