Los Angeles Clippers guard Norman Powell (24) tries to get around the defense of Portland Trail Blazers guard Anfernee Simons (1) during the first half of an NBA basketball game, Thursday, Jan. 16, 2025, in Portland, Ore. (AP Photo/Jenny Kane) AP AP
The road from now until the All-Star break in four weeks is treacherous. The Blazers conclude their home stand with Houston (27-13) on Saturday night, followed by a Sunday game against the Chicago Bulls (18-23).
Norman Powell scored 23 points to help the Los Angeles Clippers complete a perfect back-to-back set with a convincing 118-89 win over the host Portland Trail Blazers in the NBA on Thursday
The LA Clippers have been one of the NBA’s bigger surprises this season. Without Kawhi Leonard for the first 34 games to start the year, LA has had its star for
Prediction for the NBA match which will take place on January 17. Who will turn out to be stronger? Check the team conditions! Several betting options are available.
For the game, the Nets could get one of their best players back in action, as D'Angelo Russell is listed as questionable on the injury report. The 2019 NBA All-Star has missed each of the previous four games.
This affiliate content is not influenced by our advertising relationships, but AP and Data Skrive might earn commissions from our partners’ links in this content.
SB Nation on MSN16h
Blazers vs. Rockets Preview
The Rocket’s red glare visible tonight from the Moda Center will hopefully be from basketball being played and nothing else
Kawhi Leonard has been ruled out of the LA Clippers game against the Portland Trail Blazers on Thursday. The two-time NBA champion was in action when the Clippers created history by recording the biggest margin of victory in franchise history on Wednesday.
James Harden scored 13 of his 26 points in a third-quarter revival that rallied the Los Angeles Clippers past the Miami Heat 109-98 on Monday night,
Thank you for reporting this station. We will review the data in question. You are about to report this weather station for bad data. Please select the information that is incorrect.