Giddey, Daniels and Furphy headline a potential Boomers Big 3 after strong preseason bursts.<\/p>\n
Boomers\u2019 backcourt potential echoes Chuck Daly\u2019s three-guard template Giddey\u2019s per-36 line flirts with a triple-double whole Daniels continues MIP leap with elite two-way efficiencyFurphy\u2019s scoring pop and size round out the trio as Zikarsky\u2019s long-term upside at centre is exciting<\/p>\n
In 1989, Chuck Daly mastered the three-guard rotation with Isiah Thomas<\/a> running the point, Joe Dumars rotating between the 1 and 2 and Vinnie “The Microwave” Johnson cookin’ at the 3. Daly’s Detroit Pistons<\/a> went back-to-back NBA<\/a> champions in both ’89 and 1990.<\/p>\n The 2028 Australian Boomers<\/a> are poised to have their own Big 3 in the backcourt at the Olympic Games in Los Angeles<\/a>.<\/p>\n Chicago Bulls<\/a> star Josh Giddey<\/a>, Atlanta Hawks wing Dyson Daniels<\/a> and, it’s early days, but Indiana Pacers<\/a> wing Johnny Furphy<\/a> are emerging as a potential three-headed monster based on their 2025-26 NBA\u00a0pre-season production.<\/p>\n Giddey, 23, signed a USD\u00a0$100M four-year deal last month<\/a> to stay in Chicago and by the time it expires it will be one of the most under-market contracts this decade.<\/p>\n Per 36 minutes, Giddey is averaging 17 points (33%), 10 rebounds and 11 assists … a triple double. If Giddey can improve his shooting to at least 40% from the field, watch out!<\/p>\n Daniels, 22, who is set to become a restricted free agent in 2026, has started the 2025-26 season for the Atlanta Hawks<\/a> where he left off as the NBA’s Most Improved Player.<\/a><\/p>\n Per 36 minutes, Daniels is averaging 13.9 points (58.3%), 8.2 rebounds, 5.7 assists, 1.6 steals and 0.8 blocks.<\/p>\n Furphy, 20, is delivering a highlight dunk almost every time he steps on the floor since the 2025 Summer League but that only tells part of the story.<\/p>\n Per 36 minutes, Furphy is averaging 23.2 points (50%), 7.0 rebounds, 1.2 assists, 1.2 steals and 1.2 blocks.<\/p>\n Rocco Zikarsky<\/a> is just 18 years old. He’ll be 21 in LA and his per-36 numbers are elite. If his development matches his potential and he starts to earn regular minutes, the Boomers are set to have a dominant centre until the 2040 Olympic Games. Yes, 2040!<\/p>\n Below is a breakdown of the Australian men’s basketballers<\/a> in the NBA and their pre-season output including their per-36 minutes production. <\/p>\n Two or three games is an unrealistic benchmark, especially for rookies such as Tyrese Proctor<\/a> but established vets such as Jock Landale<\/a> and Duop Reath<\/a> are a strong indicator of their potential if they each play big minutes.<\/p>\n Johnny Furphy – Indiana Pacers<\/p>\n @ Minnesota \u2014 W 135-134 (OT)<\/p>\n MIN: 20 \u00a0I \u00a0PTS: 12 \u00a0I \u00a0REB: 3 \u00a0I \u00a0AST: 1 \u00a0I \u00a0STL: 0 \u00a0I \u00a0BLK: 1 \u00a0I \u00a0FG%: 50.0 \u00a0I \u00a03P%: 50.0 \u00a0I \u00a0FT%: 83.3 \u00a0I \u00a0Turnovers: 4<\/p>\n vs Oklahoma City \u2014 W 116-101<\/p>\n MIN: 11 \u00a0I \u00a0PTS: 8 \u00a0I \u00a0REB: 3 \u00a0I \u00a0AST: 0 \u00a0I \u00a0STL: 1 \u00a0I \u00a0BLK: 0 \u00a0I \u00a0FG%: 50.0 \u00a0I \u00a03P%: 0.0 \u00a0I \u00a0FT%: 100 \u00a0I \u00a0Turnovers: 0<\/p>\n Preseason Average (2 Games)<\/p>\n MIN: 15.5 \u00a0I \u00a0PTS: 10.0 \u00a0I \u00a0REB: 3.0 \u00a0I \u00a0AST: 0.5 \u00a0I \u00a0STL: 0.5 \u00a0I \u00a0BLK: 0.5 \u00a0I \u00a0FG%: 50.0 \u00a0I \u00a03P%: 20.0 \u00a0I \u00a0FT%: 87.5 \u00a0I \u00a0Turnovers: 2.0<\/p>\n Per 36 Minutes<\/p>\n MIN: 36 \u00a0I \u00a0PTS: 23.2 \u00a0I \u00a0REB: 7.0 \u00a0I \u00a0AST: 1.2 \u00a0I \u00a0STL: 1.2 \u00a0I \u00a0BLK: 1.2 \u00a0I \u00a0FG%: 50.0 \u00a0I \u00a03P%: 20.0 \u00a0I \u00a0FT%: 87.5 \u00a0I \u00a0Turnovers: 4.7Dyson Daniels – Atlanta Hawks<\/p>\n @ Houston \u2014 L 122-113<\/p>\n MIN: 20 \u00a0I \u00a0PTS: 8 \u00a0I \u00a0REB: 3 \u00a0I \u00a0AST: 6 \u00a0I \u00a0STL: 2 \u00a0I \u00a0BLK: 1 \u00a0I \u00a0FG%: 75.0 \u00a0I \u00a03P%: 0.0 \u00a0I \u00a0FT%: 100.0 \u00a0I \u00a0Turnovers: 1<\/p>\n @ Memphis \u2014 W 122-116<\/p>\n MIN: 24 \u00a0I \u00a0PTS: 9 \u00a0I \u00a0REB: 7 \u00a0I \u00a0AST: 1 \u00a0I \u00a0STL: 0 \u00a0I \u00a0BLK: 0 \u00a0I \u00a0FG%: 44.4 \u00a0I \u00a03P%: 0.0 \u00a0I \u00a0FT%: 50.0 \u00a0I \u00a0Turnovers: 2<\/p>\n Preseason Average (2 Games)<\/p>\n MIN: 22.0 \u00a0I \u00a0PTS: 8.5 \u00a0I \u00a0REB: 5.0 \u00a0I \u00a0AST: 3.5 \u00a0I \u00a0STL: 1.0 \u00a0I \u00a0BLK: 0.5 \u00a0I \u00a0FG%: 58.3 \u00a0I \u00a03P%: 0.0 \u00a0I \u00a0FT%: 75.0 \u00a0I \u00a0Turnovers: 1.5<\/p>\n Preseason Per-36 (2-Game Average)<\/p>\n MIN: 36 \u00a0I \u00a0PTS: 13.9 \u00a0I \u00a0REB: 8.2 \u00a0I \u00a0AST: 5.7 \u00a0I \u00a0STL: 1.6 \u00a0I \u00a0BLK: 0.8 \u00a0I \u00a0FG%: 58.3 \u00a0I \u00a03P%: 0.0 \u00a0I \u00a0FT%: 75.0 \u00a0I \u00a0Turnovers: 2.5Josh Giddey – Chicago Bulls<\/p>\n @ Cleveland \u2014 W 118-117<\/p>\n MIN: 14 \u00a0I \u00a0PTS: 3 \u00a0I \u00a0REB: 3 \u00a0I \u00a0AST: 5 \u00a0I \u00a0STL: 3 \u00a0I \u00a0BLK: 0 \u00a0I \u00a0FG%: 25.0 \u00a0I \u00a03P%: 0.0 \u00a0I \u00a0FT%: 50.0 \u00a0I \u00a0Turnovers: 2<\/p>\n vs Cleveland \u2014 W 119-112<\/p>\n MIN: 22 \u00a0I \u00a0PTS: 14 \u00a0I \u00a0REB: 7 \u00a0I \u00a0AST: 6 \u00a0I \u00a0STL: 0 \u00a0I \u00a0BLK: 0 \u00a0I \u00a0FG%: 38.5 \u00a0I \u00a03P%: 40.0 \u00a0I \u00a0FT%: 100.0 \u00a0I \u00a0Turnovers: 3<\/p>\n Preseason Average (2 Games)<\/p>\n MIN: 18.0 \u00a0I \u00a0PTS: 8.5 \u00a0I \u00a0REB: 5.0 \u00a0I \u00a0AST: 5.5 \u00a0I \u00a0STL: 1.5 \u00a0I \u00a0BLK: 0.0 \u00a0I \u00a0FG%: 33.3 \u00a0I \u00a03P%: 28.6 \u00a0I \u00a0FT%: 75.0 \u00a0I \u00a0Turnovers: 2.5<\/p>\n Per-36 (2-Game Average)<\/p>\n MIN: 36 \u00a0I \u00a0PTS: 17.0 \u00a0I \u00a0REB: 10.0 \u00a0I \u00a0AST: 11.0 \u00a0I \u00a0STL: 3.0 \u00a0I \u00a0BLK: 0.0 \u00a0I \u00a0FG%: 33.3 \u00a0I \u00a03P%: 28.6 \u00a0I \u00a0FT%: 75.0 \u00a0I \u00a0Turnovers: 5.0Rocco Zikarsky – Minnesota Timberwolves<\/p>\n vs Denver \u2014 W 126-116<\/p>\n MIN: 13 \u00a0I \u00a0PTS: 9 \u00a0I \u00a0REB: 8 \u00a0I \u00a0AST: 0 \u00a0I \u00a0STL: 0 \u00a0I \u00a0BLK: 0 \u00a0I \u00a0FG%: 37.5 \u00a0I \u00a03P%: 0.0 \u00a0I \u00a0FT%: 75.0 \u00a0I \u00a0Turnovers: 1<\/p>\n vs Indiana \u2014 L 135-134 (OT)<\/p>\n MIN: 3 \u00a0I \u00a0PTS: 0 \u00a0I \u00a0REB: 1 \u00a0I \u00a0AST: 1 \u00a0I \u00a0STL: 0 \u00a0I \u00a0BLK: 1 \u00a0I \u00a0FG%: 0.0 \u00a0I \u00a03P%: 0.0 \u00a0I \u00a0FT%: 0.0 \u00a0I \u00a0Turnovers: 0<\/p>\n @ New York \u2014 L 100-95 (OT)<\/p>\n MIN: 14 \u00a0I \u00a0PTS: 2 \u00a0I \u00a0REB: 3 \u00a0I \u00a0AST: 0 \u00a0I \u00a0STL: 0 \u00a0I \u00a0BLK: 0 \u00a0I \u00a0FG%: 50.0 \u00a0I \u00a03P%: 0.0 \u00a0I \u00a0FT%: 0.0 \u00a0I \u00a0Turnovers: 1<\/p>\n Preseason Average (3 Games)<\/p>\n MIN: 10.0 \u00a0I \u00a0PTS: 3.7 \u00a0I \u00a0REB: 4.0 \u00a0I \u00a0AST: 0.3 \u00a0I \u00a0STL: 0.0 \u00a0I \u00a0BLK: 0.3 \u00a0I \u00a0FG%: 38.5 \u00a0I \u00a03P%: 0.0 \u00a0I \u00a0FT%: 75.0 \u00a0I \u00a0Turnovers: 0.7<\/p>\n Per-36 (3-Game Average)<\/p>\n MIN: 36 \u00a0I \u00a0PTS: 13.3 \u00a0I \u00a0REB: 14.4 \u00a0I \u00a0AST: 1.1 \u00a0I \u00a0STL: 0.0 \u00a0I \u00a0BLK: 1.1 \u00a0I \u00a0FG%: 38.5 \u00a0I \u00a03P%: 0.0 \u00a0I \u00a0FT%: 75.0 \u00a0I \u00a0Turnovers: 2.5Tyrese Proctor – Cleveland Cavaliers<\/p>\n vs Chicago \u2014 L 118-117<\/p>\n MIN: 12 \u00a0I \u00a0PTS: 14 \u00a0I \u00a0REB: 0 \u00a0I \u00a0AST: 2 \u00a0I \u00a0STL: 1 \u00a0I \u00a0BLK: 0 \u00a0I \u00a0FG%: 83.3 \u00a0I \u00a03P%: 75.0 \u00a0I \u00a0FT%: 50.0 \u00a0I \u00a0Turnovers: 0<\/p>\n @ Chicago \u2014 L 119-112<\/p>\n MIN: 10 \u00a0I \u00a0PTS: 7 \u00a0I \u00a0REB: 1 \u00a0I \u00a0AST: 4 \u00a0I \u00a0STL: 0 \u00a0I \u00a0BLK: 0 \u00a0I \u00a0FG%: 28.6 \u00a0I \u00a03P%: 16.7 \u00a0I \u00a0FT%: 66.7 \u00a0I \u00a0Turnovers: 1<\/p>\n Preseason Average (2 Games)<\/p>\n MIN: 11.0 \u00a0I \u00a0PTS: 10.5 \u00a0I \u00a0REB: 0.5 \u00a0I \u00a0AST: 3.0 \u00a0I \u00a0STL: 0.5 \u00a0I \u00a0BLK: 0.0 \u00a0I \u00a0FG%: 52.9 \u00a0I \u00a03P%: 45.8 \u00a0I \u00a0FT%: 58.3 \u00a0I \u00a0Turnovers: 0.5<\/p>\n Per-36 (2-Game Average)<\/p>\n MIN: 36 \u00a0I \u00a0PTS: 34.4 \u00a0I \u00a0REB: 1.6 \u00a0I \u00a0AST: 9.8 \u00a0I \u00a0STL: 1.6 \u00a0I \u00a0BLK: 0.0 \u00a0I \u00a0FG%: 52.9 \u00a0I \u00a03P%: 45.8 \u00a0I \u00a0FT%: 58.3 \u00a0I \u00a0Turnovers: 1.6Luke Travers – Cleveland Cavaliers<\/p>\n vs Chicago \u2014 L 118-117<\/p>\n MIN: 12 \u00a0I \u00a0PTS: 5 \u00a0I \u00a0REB: 1 \u00a0I \u00a0AST: 0 \u00a0I \u00a0STL: 1 \u00a0I \u00a0BLK: 0 \u00a0I \u00a0FG%: 40.0 \u00a0I \u00a03P%: 0.0 \u00a0I \u00a0FT%: 50.0 \u00a0I \u00a0Turnovers: 0<\/p>\n @ Chicago \u2014 L 119-112<\/p>\n MIN: 10 \u00a0I \u00a0PTS: 8 \u00a0I \u00a0REB: 4 \u00a0I \u00a0AST: 1 \u00a0I \u00a0STL: 0 \u00a0I \u00a0BLK: 0 \u00a0I \u00a0FG%: 60.0 \u00a0I \u00a03P%: 33.3 \u00a0I \u00a0FT%: 20.0 \u00a0I \u00a0Turnovers: 0<\/p>\n Preseason Average (2 Games)<\/p>\n MIN: 11.0 \u00a0I \u00a0PTS: 6.5 \u00a0I \u00a0REB: 2.5 \u00a0I \u00a0AST: 0.5 \u00a0I \u00a0STL: 0.5 \u00a0I \u00a0BLK: 0.0 \u00a0I \u00a0FG%: 50.0 \u00a0I \u00a03P%: 20.0 \u00a0I \u00a0FT%: 33.3 \u00a0I \u00a0Turnovers: 0.0<\/p>\n Per-36 (2-Game Average)<\/p>\n MIN: 36 \u00a0I \u00a0PTS: 21.3 \u00a0I \u00a0REB: 8.2 \u00a0I \u00a0AST: 1.6 \u00a0I \u00a0STL: 1.6 \u00a0I \u00a0BLK: 0.0 \u00a0I \u00a0FG%: 50.0 \u00a0I \u00a03P%: 20.0 \u00a0I \u00a0FT%: 33.3 \u00a0I \u00a0Turnovers: 0.0Jock Landale – Memphis Grizzlies<\/p>\n vs Detroit \u2014 L 128-112<\/p>\n MIN: 19 \u00a0I \u00a0PTS: 9 \u00a0I \u00a0REB: 7 \u00a0I \u00a0AST: 1 \u00a0I \u00a0STL: 1 \u00a0I \u00a0BLK: 1 \u00a0I \u00a0FG%: 42.9 \u00a0I \u00a03P%: 66.7 \u00a0I \u00a0FT%: 100.0 \u00a0I \u00a0Turnovers: 1<\/p>\n vs Atlanta \u2014 L 122-116<\/p>\n MIN: 23 \u00a0I \u00a0PTS: 9 \u00a0I \u00a0REB: 7 \u00a0I \u00a0AST: 1 \u00a0I \u00a0STL: 0 \u00a0I \u00a0BLK: 0 \u00a0I \u00a0FG%: 50.0 \u00a0I \u00a03P%: 0.0 \u00a0I \u00a0FT%: 100.0 \u00a0I \u00a0Turnovers: 3<\/p>\n Preseason Average (2 Games)<\/p>\n MIN: 21.0 \u00a0I \u00a0PTS: 9.0 \u00a0I \u00a0REB: 7.0 \u00a0I \u00a0AST: 1.0 \u00a0I \u00a0STL: 0.5 \u00a0I \u00a0BLK: 0.5 \u00a0I \u00a0FG%: 46.7 \u00a0I \u00a03P%: 33.3 \u00a0I \u00a0FT%: 100.0 \u00a0I \u00a0Turnovers: 2.0<\/p>\n Per-36 (2-Game Average)<\/p>\n MIN: 36 \u00a0I \u00a0PTS: 15.4 \u00a0I \u00a0REB: 12.0 \u00a0I \u00a0AST: 1.7 \u00a0I \u00a0STL: 0.9 \u00a0I \u00a0BLK: 0.9 \u00a0I \u00a0FG%: 46.7 \u00a0I \u00a03P%: 33.3 \u00a0I \u00a0FT%: 100.0 \u00a0I \u00a0Turnovers: 3.4Duop Reath – Portland Trail Blazers<\/p>\n @ Golden State \u2014 L 129-123<\/p>\n MIN: 11 \u00a0I \u00a0PTS: 9 \u00a0I \u00a0REB: 3 \u00a0I \u00a0AST: 0 \u00a0I \u00a0STL: 0 \u00a0I \u00a0BLK: 1 \u00a0I \u00a0FG%: 50.0 \u00a0I \u00a03P%: 50.0 \u00a0I \u00a0FT%: 0.0 \u00a0I \u00a0Turnovers: 1<\/p>\n vs Sacramento \u2014 W 124-123<\/p>\n MIN: 9 \u00a0I \u00a0PTS: 2 \u00a0I \u00a0REB: 1 \u00a0I \u00a0AST: 1 \u00a0I \u00a0STL: 0 \u00a0I \u00a0BLK: 0 \u00a0I \u00a0FG%: 33.3 \u00a0I \u00a03P%: 0.0 \u00a0I \u00a0FT%: 0.0 \u00a0I \u00a0Turnovers: 0<\/p>\n Preseason Average (2 Games)<\/p>\n MIN: 10.0 \u00a0I \u00a0PTS: 5.5 \u00a0I \u00a0REB: 2.0 \u00a0I \u00a0AST: 0.5 \u00a0I \u00a0STL: 0.0 \u00a0I \u00a0BLK: 0.5 \u00a0I \u00a0FG%: 41.7 \u00a0I \u00a03P%: 33.3 \u00a0I \u00a0FT%: 0.0 \u00a0I \u00a0Turnovers: 0.5<\/p>\n Per-36 (2-Game Average)<\/p>\n MIN: 36 \u00a0I \u00a0PTS: 19.8 \u00a0I \u00a0REB: 7.2 \u00a0I \u00a0AST: 1.8 \u00a0I \u00a0STL: 0.0 \u00a0I \u00a0BLK: 1.8 \u00a0I \u00a0FG%: 41.7 \u00a0I \u00a03P%: 33.3 \u00a0I \u00a0FT%: 0.0 \u00a0I \u00a0Turnovers: 1.8Lachlan Olbrich – Chicago Bulls<\/p>\n vs Cleveland \u2014 W 119-112<\/p>\n MIN: 7 \u00a0I \u00a0PTS: 6 \u00a0I \u00a0REB: 2 \u00a0I \u00a0AST: 0 \u00a0I \u00a0STL: 1 \u00a0I \u00a0BLK: 0 \u00a0I \u00a0FG%: 75.0 \u00a0I \u00a03P%: 0.0 \u00a0I \u00a0FT%: 0.0 \u00a0I \u00a0Turnovers: 0<\/p>\n Preseason Average (1 Game)<\/p>\n MIN: 7.0 \u00a0I \u00a0PTS: 6.0 \u00a0I \u00a0REB: 2.0 \u00a0I \u00a0AST: 0.0 \u00a0I \u00a0STL: 1.0 \u00a0I \u00a0BLK: 0.0 \u00a0I \u00a0FG%: 75.0 \u00a0I \u00a03P%: 0.0 \u00a0I \u00a0FT%: 0.0 \u00a0I \u00a0Turnovers: 0.0<\/p>\n Per-36 (1-Game Projection)<\/p>\n MIN: 36 \u00a0I \u00a0PTS: 30.9 \u00a0I \u00a0REB: 10.3 \u00a0I \u00a0AST: 0.0 \u00a0I \u00a0STL: 5.1 \u00a0I \u00a0BLK: 0.0 \u00a0I \u00a0FG%: 75.0 \u00a0I \u00a03P%: 0.0 \u00a0I \u00a0FT%: 0.0 \u00a0I \u00a0Turnovers: 0.0<\/p>\n","protected":false},"excerpt":{"rendered":"Giddey, Daniels and Furphy headline a potential Boomers Big 3 after strong preseason bursts. Boomers\u2019 backcourt potential echoes…\n","protected":false},"author":2,"featured_media":208736,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[557],"tags":[64,63,590,85],"class_list":{"0":"post-208735","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-nba","8":"tag-au","9":"tag-australia","10":"tag-nba","11":"tag-sports"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/208735","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/comments?post=208735"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/208735\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media\/208736"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media?parent=208735"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/categories?post=208735"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/tags?post=208735"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}