The wide dispersion of low probabilities across the field reflects a highly competitive 2026 WNBA season in which no player has separated as a clear three-point percentage leader after roughly 30-35 games. Lexie Brown and Chelsea Gray sit at the top of trader consensus due to their combination of volume and recent efficiency spikes, with Brown showing hot streaks from deep in limited minutes for Seattle and Gray delivering clutch volume for Las Vegas. Caitlin Clark and Azzi Fudd follow closely, benefiting from high-usage roles and strong rookie-year conversion rates around 39-40 percent on solid attempts, while Chennedy Carter and Jovana Nogic offer efficiency edges in specific offensive schemes. Key differentiators include three-point attempts per game, minutes stability, team pace, and late-summer form, as small sample swings and roster adjustments continue to reshape the leaderboard.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日WNBA: Three Point Percentage Leader
Lexie Brown 3.9%
Chelsea Gray 3.9%
Caitlin Clark 3.8%
Chennedy Carter 3.7%
$26,321 Vol.
$26,321 Vol.
Lexie Brown
4%
Chelsea Gray
4%
Caitlin Clark
4%
Chennedy Carter
4%
Azzi Fudd
4%
Jovana Nogic
3%
A'ja Wilson
3%
Sarah Ashlee Barker
3%
Sabrina Ionescu
3%
Hailey Van Lith
2%
Gabby Williams
2%
Nneka Ogwumike
1%
Paige Bueckers
1%
Kelsey Plum
1%
Emily Engstler
1%
Lexie Brown 3.9%
Chelsea Gray 3.9%
Caitlin Clark 3.8%
Chennedy Carter 3.7%
$26,321 Vol.
$26,321 Vol.
Lexie Brown
4%
Chelsea Gray
4%
Caitlin Clark
4%
Chennedy Carter
4%
Azzi Fudd
4%
Jovana Nogic
3%
A'ja Wilson
3%
Sarah Ashlee Barker
3%
Sabrina Ionescu
3%
Hailey Van Lith
2%
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/).
マーケット開始日: 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...The wide dispersion of low probabilities across the field reflects a highly competitive 2026 WNBA season in which no player has separated as a clear three-point percentage leader after roughly 30-35 games. Lexie Brown and Chelsea Gray sit at the top of trader consensus due to their combination of volume and recent efficiency spikes, with Brown showing hot streaks from deep in limited minutes for Seattle and Gray delivering clutch volume for Las Vegas. Caitlin Clark and Azzi Fudd follow closely, benefiting from high-usage roles and strong rookie-year conversion rates around 39-40 percent on solid attempts, while Chennedy Carter and Jovana Nogic offer efficiency edges in specific offensive schemes. Key differentiators include three-point attempts per game, minutes stability, team pace, and late-summer form, as small sample swings and roster adjustments continue to reshape the leaderboard.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日



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