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Tom Brady's Niece, Former UCLA Star Shortstop Maya Brady, Taken First in Softball Expansion Draft
Maya Brady, niece of Tom Brady, was selected first overall by Oklahoma City Spark as the Athletes Unlimited Softball League expanded to six teams this season.
- On Monday night, Maya Brady was selected with the No. 1 pick by the Oklahoma City Spark in the AUSL expansion draft; she is a former UCLA star and niece of seven-time Super Bowl champion Tom Brady.
- After the AUSL added two teams, the league held expansion and allocation drafts as it expanded from four to six teams, with teams initially protecting five players and then two more after five rounds.
- A former UCLA standout, Maya Brady hit.647 last summer for the Talons while playing middle infield and outfield and brings versatility and major collegiate honors.
- The expansion boosted the league to six teams, changing roster math across clubs as the AUSL lists 78 players and plans a college draft to complete rosters.
- Allocation picks highlighted regional talent, especially ex-Sooners, with nine of 43 draftees former Sooners including Sam Landry and Kelly Maxwell for Cascade, and Kinzie Hansen to the Spark.
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Maya Brady gives OKC Spark great building block as top AUSL Draft pick
·Oklahoma City, United States
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“Greatness in blood” “She gotta call him Uncle GOAT”: NFL fans react as Tom Brady’s niece Maya Brady headlines Softball expansion with No.1 draft pick
Tom Brady's niece, Maya Brady, grabbed the spotlight on Monday. She was selected at No. 1 by the Oklahoma City Spark in the Athletes Unlimited Softball League expansion draft.
Associated Press News+7 Reposted by 7 other sources
Tom Brady's niece, former UCLA star shortstop Maya Brady, taken first in softball expansion draft
Tom Brady’s niece, former UCLA star shortstop Maya Brady, was selected by the Oklahoma City Spark with the top pick in the Athletes Unlimited Softball League’s expansion and allocation drafts.
·United States
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Coverage Details
Total News Sources25
Leaning Left5Leaning Right2Center6Last UpdatedBias Distribution46% Center
Bias Distribution
- 46% of the sources are Center
46% Center
L 39%
C 46%
15%
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