The wide-open WNBA three-point percentage leader market reflects a crowded field where implied probabilities cluster tightly among perimeter specialists with varying attempt volumes and recent efficiency. Chelsea Gray and Caitlin Clark sit at the front due to their established shooting mechanics and consistent opportunities, while Azzi Fudd benefits from strong All-Star weekend form and Lexie Brown from efficient spot-up work in limited minutes. Chennedy Carter and A'ja Wilson add upside through hot streaks despite different usage patterns. Key differentiators include minimum qualifying attempts, injury recovery timelines, and late-season role adjustments that can swing final percentages in a league where small samples and defensive attention frequently reshape standings. Trader consensus prices this uncertainty evenly across the group.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · ActualizadoWNBA: Three Point Percentage Leader
Chelsea Gray 4.0%
Caitlin Clark 3.9%
Lexie Brown 3.8%
Azzi Fudd 3.8%
$25,338 Vol.
$25,338 Vol.
Chelsea Gray
4%
Caitlin Clark
4%
Lexie Brown
4%
Azzi Fudd
4%
Chennedy Carter
4%
A'ja Wilson
4%
Jovana Nogic
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%
Chelsea Gray 4.0%
Caitlin Clark 3.9%
Lexie Brown 3.8%
Azzi Fudd 3.8%
$25,338 Vol.
$25,338 Vol.
Chelsea Gray
4%
Caitlin Clark
4%
Lexie Brown
4%
Azzi Fudd
4%
Chennedy Carter
4%
A'ja Wilson
4%
Jovana Nogic
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/).
Mercado abierto: 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-open WNBA three-point percentage leader market reflects a crowded field where implied probabilities cluster tightly among perimeter specialists with varying attempt volumes and recent efficiency. Chelsea Gray and Caitlin Clark sit at the front due to their established shooting mechanics and consistent opportunities, while Azzi Fudd benefits from strong All-Star weekend form and Lexie Brown from efficient spot-up work in limited minutes. Chennedy Carter and A'ja Wilson add upside through hot streaks despite different usage patterns. Key differentiators include minimum qualifying attempts, injury recovery timelines, and late-season role adjustments that can swing final percentages in a league where small samples and defensive attention frequently reshape standings. Trader consensus prices this uncertainty evenly across the group.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado



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