A'ja Wilson holds the top spot in trader consensus for WNBA points per game leader at 48% implied probability, driven by her league-leading 26.4 PPG average through 12 games with the Las Vegas Aces, paired with elite efficiency at 51.9% field goal shooting and strong rebounding support. Kelsey Plum sits second in the market at 14.4% amid her own high-scoring output near 25-26 PPG for the Sparks, reflecting close competition early in the season. Caitlin Clark trails at 12.5% despite consistent volume around 20 PPG for the Fever, while the field remains fragmented among players like Brittney Sykes and Breanna Stewart. Recent form favors Wilson through sustained double-digit scoring outbursts and team success, though the 40-game schedule leaves ample room for shifts as opponents adjust and injuries or rest factors emerge.
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: Points Per Game Leader
Caitlin Clark 13%
Sabrina Ionescu 1.9%
Napheesa Collier 1.8%
Brittney Sykes 1.7%
Caitlin Clark
13%
Sabrina Ionescu
2%
Napheesa Collier
2%
Brittney Sykes
2%
Paige Bueckers
2%
Marina Mabrey
2%
Allisha Gray
2%
Breanna Stewart
2%
Kelsey Mitchell
2%
Sonia Citron
2%
Chennedy Carter
1%
Aliyah Boston
1%
Kelsey Plum
14%
A'ja Wilson
48%
Caitlin Clark 13%
Sabrina Ionescu 1.9%
Napheesa Collier 1.8%
Brittney Sykes 1.7%
Caitlin Clark
13%
Sabrina Ionescu
2%
Napheesa Collier
2%
Brittney Sykes
2%
Paige Bueckers
2%
Marina Mabrey
2%
Allisha Gray
2%
Breanna Stewart
2%
Kelsey Mitchell
2%
Sonia Citron
2%
Chennedy Carter
1%
Aliyah Boston
1%
Kelsey Plum
14%
A'ja Wilson
48%
In the event of a tie for the highest points per game average, 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, 11:47 AM ET
Resolver
0x69c47De9D...In the event of a tie for the highest points per game average, 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'ja Wilson holds the top spot in trader consensus for WNBA points per game leader at 48% implied probability, driven by her league-leading 26.4 PPG average through 12 games with the Las Vegas Aces, paired with elite efficiency at 51.9% field goal shooting and strong rebounding support. Kelsey Plum sits second in the market at 14.4% amid her own high-scoring output near 25-26 PPG for the Sparks, reflecting close competition early in the season. Caitlin Clark trails at 12.5% despite consistent volume around 20 PPG for the Fever, while the field remains fragmented among players like Brittney Sykes and Breanna Stewart. Recent form favors Wilson through sustained double-digit scoring outbursts and team success, though the 40-game schedule leaves ample room for shifts as opponents adjust and injuries or rest factors emerge.
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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