A wide-open field characterizes trader sentiment in this WNBA three-point percentage market, where no player commands more than single-digit implied probability amid modest season-to-date volumes for most contenders. A'ja Wilson holds a slight edge at 41% on limited attempts as a high-usage interior player whose selective perimeter looks benefit from Las Vegas spacing, while specialists such as Lexie Brown and Chennedy Carter maintain comparable efficiency through higher-percentage catch-and-shoot opportunities in bench or secondary roles. Volume guards like Caitlin Clark post lower percentages despite heavy usage, illustrating the tradeoff between attempts and accuracy that can shift rapidly with minutes or defensive attention. Recent form, roster stability, and any late-season load management will likely determine the final leader among these tightly bunched probabilities.
สรุปจาก AI ทดลองที่อ้างอิงข้อมูลจาก Polymarket ไม่ใช่คำแนะนำในการเทรดและไม่มีผลต่อการตัดสินตลาดนี้ · อัปเดตแล้วWNBA: Three Point Percentage Leader
WNBA: Three Point Percentage Leader
A'ja Wilson 4.4%
Caitlin Clark 3.9%
Chelsea Gray 3.9%
Lexie Brown 3.8%
$25,298 ปริมาณ
$25,298 ปริมาณ
A'ja Wilson
4%
Caitlin Clark
4%
Chelsea Gray
4%
Lexie Brown
4%
Azzi Fudd
4%
Chennedy Carter
4%
Jovana Nogic
3%
Sarah Ashlee Barker
3%
Sabrina Ionescu
3%
Hailey Van Lith
3%
Gabby Williams
2%
Nneka Ogwumike
1%
Paige Bueckers
1%
Kelsey Plum
1%
Emily Engstler
1%
A'ja Wilson 4.4%
Caitlin Clark 3.9%
Chelsea Gray 3.9%
Lexie Brown 3.8%
$25,298 ปริมาณ
$25,298 ปริมาณ
A'ja Wilson
4%
Caitlin Clark
4%
Chelsea Gray
4%
Lexie Brown
4%
Azzi Fudd
4%
Chennedy Carter
4%
Jovana Nogic
3%
Sarah Ashlee Barker
3%
Sabrina Ionescu
3%
Hailey Van Lith
3%
Gabby Williams
2%
Nneka Ogwumike
1%
Paige Bueckers
1%
Kelsey Plum
1%
Emily Engstler
1%
In the event of a tie for the highest three point percentage, this market will resolve in favor of the player who appeared in the greater number of games. If the tied players also played the same number of games, the market will resolve in favor of the player whose listed last name comes first alphabetically.
Qualification for inclusion in official WNBA leaderboards (such as minimum games or statistical thresholds) will be determined according to WNBA rules and applied exactly as reflected in the official leaderboard.
If the 2026 WNBA regular season is cancelled, postponed after October 8, 2026, 11:59 PM ET, or if an official leader has not been declared within that timeframe, this market will resolve to "Other".
The resolution source will be the WNBA (https://stats.wnba.com/players/traditional/).
ตลาดเปิดเมื่อ: May 26, 2026, 12:01 PM ET
Resolver
0x69c47De9D...In the event of a tie for the highest three point percentage, this market will resolve in favor of the player who appeared in the greater number of games. If the tied players also played the same number of games, the market will resolve in favor of the player whose listed last name comes first alphabetically.
Qualification for inclusion in official WNBA leaderboards (such as minimum games or statistical thresholds) will be determined according to WNBA rules and applied exactly as reflected in the official leaderboard.
If the 2026 WNBA regular season is cancelled, postponed after October 8, 2026, 11:59 PM ET, or if an official leader has not been declared within that timeframe, this market will resolve to "Other".
The resolution source will be the WNBA (https://stats.wnba.com/players/traditional/).
Resolver
0x69c47De9D...A wide-open field characterizes trader sentiment in this WNBA three-point percentage market, where no player commands more than single-digit implied probability amid modest season-to-date volumes for most contenders. A'ja Wilson holds a slight edge at 41% on limited attempts as a high-usage interior player whose selective perimeter looks benefit from Las Vegas spacing, while specialists such as Lexie Brown and Chennedy Carter maintain comparable efficiency through higher-percentage catch-and-shoot opportunities in bench or secondary roles. Volume guards like Caitlin Clark post lower percentages despite heavy usage, illustrating the tradeoff between attempts and accuracy that can shift rapidly with minutes or defensive attention. Recent form, roster stability, and any late-season load management will likely determine the final leader among these tightly bunched probabilities.
สรุปจาก AI ทดลองที่อ้างอิงข้อมูลจาก Polymarket ไม่ใช่คำแนะนำในการเทรดและไม่มีผลต่อการตัดสินตลาดนี้ · อัปเดตแล้ว
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