Dream rout Valkyries 97-71 to take 2-1 lead in WNBA Finals
publishers 59articles 96first reported 16 Oct, 09:15 UTCdeveloping since 18 Oct · 14 editions
Angel Reese had 21 points and 12 rebounds as the Atlanta Dream defeated the Golden State Valkyries 97-71 in Game 3, taking a 2-1 lead in the best-of-seven WNBA Finals.
Atlanta opened the game with a 9-1 run and led 22-12 late in the first quarter. Golden State recovered to cut the deficit to six at halftime and pulled level early in the third quarter, but the Dream answered with eight consecutive points. Atlanta outscored the Valkyries 25-17 in the period and continued to pull away in the fourth.
Reese added three steals and recorded her third double-double of the series. She followed a 30-point, 16-rebound performance in Game 2, when Atlanta earned its first WNBA Finals victory. Al Jazeera reported that Reese became the youngest player in Finals history to post at least 20 points and 10 rebounds in consecutive games.
Rhyne Howard scored 16 points and Naz Hillmon added 15 for Atlanta. Australian guard Izzy Borlase contributed 12 points, five rebounds, two assists and a block in 26 minutes. Gabby Williams led Golden State with 15 points, while Tiffany Hayes scored 14.
More than 17,000 fans attended the sold-out game, which was moved from Gateway Center Arena to the Atlanta Hawks’ arena. Game 4 is scheduled in Atlanta on Saturday, with both franchises seeking their first WNBA championship.
HOW THIS STORY WAS MADE
Written from 8 articles, 4 with the publisher's own text; 8 independent newsrooms once syndicated copies count as one; this version written 150 h after the record first saw the story; the editor kept it as written.
- Publishers
- 59
- Source articles
- 96
- Given to the writer
- 8, 4 with the article's own text
- Independent newsrooms
- 8
- This version written
- 150 h after the record first saw the story
- Second model (editor)
- kept as written
- Publication gate
- passed
- Human review
- none
WHAT THE EDITOR DID
The second model checked the writer's draft against the same sources and published it as written.
Written by a language model from the sources above, then checked by a second model that may only cut, attribute or correct. How it works →