in

Wilder breaks silence as he tweets for first time since he was arrested after ‘gun and drugs found in Rolls-Royce’


DEONTAY WILDER has broken his silence following his arrest after a gun and drugs were allegedly found in his Rolls-Royce.

The heavyweight legend urged fans to “never let anyone dim your light” in his first tweets since Los Angeles traffic police pulled him over on May 2.

Deontay Wilder has returned to social media after an eight-week breakCredit: AFP
Knockout specialist Wilder has not fought since a swift win in OctoberCredit: Getty

The ex-world champion, 37, was charged with “possession of a concealed weapon” following what was described as a routine stop.

But on his return to social media the Bronze Bomber made no reference to the case – instead treating fans to some philosophical musings.

Wilder was beaten twice by unbeaten Brit Tyson Fury in their iconic trilogy before knocking out Finn Robert Helenius in round one of his comeback fight last October.

And he told his followers how to win at life with a series of deep tweets.

READ MORE IN BOXING

Wilder shared this mantra with fans: “You’re an amazing human being and it’s deserving to be acknowledged.”

But with his next step in the ring uncertain, he also posted: “Certain things come to an end as the years get older it’s called growth.”

He didn’t explain if that was a reference to his boxing career.

Arguably most Wilder’s most heartfelt message was his longest.

Most read in Boxing

The American pleaded: “Never let anyone dim your light. We all are capable of doing multiple things in this world.

“Some people will not like what you do because they can’t figure out their problems but, that’s ok bec many will LOVE & appreciate what you give to this world. My light will always shine.”


Source: Boxing - thesun.co.uk


Tagcloud:

Boxing fans horrified as ringside camera is splattered with blood after fighter’s ear ‘EXPLODES’ during brutal bout

Leeds star Brenden Aaronson lined up for immediate Premier League return as club make transfer approach