The tight clustering of implied probabilities around 10-12.5% for Kelsey Plum, Hailey Van Lith, Lexie Brown, Jovana Nogic, and Sarah Ashlee Barker reflects an early 2026 WNBA season where three-point percentage leaders remain highly fluid. Low three-point attempt volumes across the league produce unstable percentages, with qualifiers like Kaitlyn Chen, Chennedy Carter, and A'ja Wilson posting elevated marks on smaller samples that may not hold as minutes and defensive schemes adjust. Established perimeter players such as Plum and Gray benefit from consistent volume and recent form, while rookies and role players carry upside if their attempts rise without efficiency drops. Historical patterns show midseason shifts often reorder the leaderboard once minimum attempt thresholds stabilize, keeping trader consensus dispersed with no dominant favorite.
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
WNBA: Three Point Percentage Leader
A'ja Wilson 20.0%
Jovana Nogic 17%
Hailey Van Lith 6%
Sarah Ashlee Barker 3.1%
$19,746 Vol.
$19,746 Vol.
A'ja Wilson
24%
Jovana Nogic
17%
Hailey Van Lith
6%
Sarah Ashlee Barker
3%
Chennedy Carter
3%
Paige Bueckers
3%
Caitlin Clark
2%
Kelsey Plum
2%
Chelsea Gray
2%
Azzi Fudd
2%
Sabrina Ionescu
2%
Lexie Brown
2%
Gabby Williams
1%
Emily Engstler
<1%
Nneka Ogwumike
<1%
A'ja Wilson 20.0%
Jovana Nogic 17%
Hailey Van Lith 6%
Sarah Ashlee Barker 3.1%
$19,746 Vol.
$19,746 Vol.
A'ja Wilson
24%
Jovana Nogic
17%
Hailey Van Lith
6%
Sarah Ashlee Barker
3%
Chennedy Carter
3%
Paige Bueckers
3%
Caitlin Clark
2%
Kelsey Plum
2%
Chelsea Gray
2%
Azzi Fudd
2%
Sabrina Ionescu
2%
Lexie Brown
2%
Gabby Williams
1%
Emily Engstler
<1%
Nneka Ogwumike
<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 tight clustering of implied probabilities around 10-12.5% for Kelsey Plum, Hailey Van Lith, Lexie Brown, Jovana Nogic, and Sarah Ashlee Barker reflects an early 2026 WNBA season where three-point percentage leaders remain highly fluid. Low three-point attempt volumes across the league produce unstable percentages, with qualifiers like Kaitlyn Chen, Chennedy Carter, and A'ja Wilson posting elevated marks on smaller samples that may not hold as minutes and defensive schemes adjust. Established perimeter players such as Plum and Gray benefit from consistent volume and recent form, while rookies and role players carry upside if their attempts rise without efficiency drops. Historical patterns show midseason shifts often reorder the leaderboard once minimum attempt thresholds stabilize, keeping trader consensus dispersed with no dominant favorite.
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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