The New York Liberty will be facing the Indiana Fever on July 12, 2023, at 5:00 PM GMT+1 at Gainbridge Fieldhouse. The Liberty have been performing well recently, winning four out of their last five games, including three consecutive victories. With a total of thirteen wins this season, they have showcased a strong offense, averaging 87.4 points per game on 45.7% shooting from the field. Breanna Stewart has been leading the team in scoring with an average of 23.8 points and 9.8 rebounds per game, while Courtney Vandersloot has been the primary playmaker with 8.5 assists per game.
In their most recent game, the Liberty demonstrated their offensive prowess by scoring 80 points, including 45 in the second half. They shot 40.9% from the field and 43.3% from beyond the arc. Defensively, they held their opponents to 76 points on 38.7% shooting and forced 18 turnovers. Breanna Stewart had an outstanding performance, contributing 25 points on 17 shots.
On the other hand, the Indiana Fever have been struggling lately, losing their last seven games and currently sitting nine games below .500. In their previous game against Dallas, they shot 44.8% from the field but made only three three-pointers and committed 18 turnovers, leading to their defeat. Defensively, they allowed 77 points on 43.5% shooting.
Kelsey Mitchell leads the Indiana offense with an average of 16.7 points per game, followed by NaLyssa Smith with 15.6 points and a team-high 9.7 rebounds per game. Rookie Aliyah Boston is third on the team in scoring, averaging 15 points per game, while Erica Wheeler leads the team with 5.1 assists.
Considering the recent performances and betting trends, the New York Liberty are favored to win this game by 8.5 points. The Liberty previously defeated the Fever by 17 points in their first matchup this season. With Indiana's ongoing struggles, the prediction is that New York will continue their strong play and cover the spread on the road. The final score prediction is a New York Liberty victory with a score of 86-71.
Please note that the provided information and prediction are based on the given context, and actual outcomes may vary.
