Skip Bayless put up a concerning verdict on LeBron James after the Los Angeles Lakers lost their latest game to the Cleveland Cavaliers on Sunday night.
The Los Angeles Lakers suffered their latest defeat of the season as they welcomed the Cleveland Cavaliers to the Crypto.com Arena in Los Angeles. While it was the Lakers who led the game by six points after the first half, the Cavaliers mounted an incredible turnaround in the second half to win the game – and inflict the Lakers’ third defeat on the bounce.
The Cavaliers put on quite the show on the road as they mounted a 56-36 win over the Lakers in the second half, meaning that the scores read 114-100 in their favor as the final buzzer went off. It was the Lakers’ third defeat on the bounce after they felt that they had turned a corner following two wins, and gives the Lakers’ fans and hierarchy plenty to think about yet again.
While most fans blamed a collective lack of determination as the Lakers let go of yet another lead at home, Skip Bayless chose to point his finger at the Lakers’ talisman LeBron James. Even though James had an improved performance by his recent standards as he scored a team-high 27 points, 7 rebounds and 4 assists, Bayless ripped into James for his inability to “carry” the Lakers.
What did Skip Bayless have to say about LeBron James?
The NBA analyst took to his Twitter after the game to give his thoughts on the Lakers.
Writing on his official Twitter account following the game, Bayless wrote: “LeBron James can no longer carry a team in games they should win, especially at home. Lakers just outscored in the 2nd half 56-36 by LeBron’s former team AT HOME.” Indeed, LeBron’s former team with whom he won the NBA Championship in 2016 did come out on top against a toothless Lakers display.
The Lakers will look to get back to winning ways as soon as possible, when they travel to Utah Jazz on Monday night.
More News:
• How many 50 point games has LeBron James had?
• Skip Bayless aims shots at LeBron James after Russell Westbrook scores season high in loss