The early 2026 WNBA season has produced a tightly contested blocks-per-game race, with A'ja Wilson, Emily Engstler, Kiah Stokes, and Cameron Brink among several players posting comparable rates near 2.0 BPG through the first few weeks. Wilson's established rim protection and versatile defense for the Las Vegas Aces anchor her slight edge in trader consensus, yet Engstler and Stokes have matched or exceeded her output in limited samples while logging significant minutes for Portland and Golden State. Other listed contenders like Natasha Mack, Flau'jae Johnson, and Breanna Stewart bring strong defensive pedigrees and recent form that keep the field bunched, as small variations in playing time, opponent matchups, and team schemes can quickly shift per-game averages. This broad distribution of implied probabilities captures the uncertainty inherent in an unfolding season where multiple frontcourt and versatile defenders remain viable.
Polymarket 데이터를 참조하는 실험적 AI 생성 요약입니다. 이것은 거래 조언이 아니며 이 마켓의 정산에 영향을 미치지 않습니다. · 업데이트WNBA: Blocks Per Game Leader
A'ja Wilson 31%
Emily Engstler 27%
Cameron Brink 27%
Kiah Stokes 27%
A'ja Wilson
31%
Emily Engstler
27%
Cameron Brink
27%
Kiah Stokes
27%
Shakira Austin
27%
Nia Coffey
27%
Angel Reese
26%
Flau'jae Johnson
26%
Azzi Fudd
26%
Nyara Sabally
26%
Chelsea Gray
25%
Rickea Jackson
25%
Breanna Stewart
25%
Caitlin Clark
25%
Natasha Mack
24%
Kamilla Cardoso
24%
A'ja Wilson 31%
Emily Engstler 27%
Cameron Brink 27%
Kiah Stokes 27%
A'ja Wilson
31%
Emily Engstler
27%
Cameron Brink
27%
Kiah Stokes
27%
Shakira Austin
27%
Nia Coffey
27%
Angel Reese
26%
Flau'jae Johnson
26%
Azzi Fudd
26%
Nyara Sabally
26%
Chelsea Gray
25%
Rickea Jackson
25%
Breanna Stewart
25%
Caitlin Clark
25%
Natasha Mack
24%
Kamilla Cardoso
24%
In the event of a tie for the highest blocks 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/).
마켓 개설일: May 26, 2026, 11:55 AM ET
Resolver
0x69c47De9D...In the event of a tie for the highest blocks 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...The early 2026 WNBA season has produced a tightly contested blocks-per-game race, with A'ja Wilson, Emily Engstler, Kiah Stokes, and Cameron Brink among several players posting comparable rates near 2.0 BPG through the first few weeks. Wilson's established rim protection and versatile defense for the Las Vegas Aces anchor her slight edge in trader consensus, yet Engstler and Stokes have matched or exceeded her output in limited samples while logging significant minutes for Portland and Golden State. Other listed contenders like Natasha Mack, Flau'jae Johnson, and Breanna Stewart bring strong defensive pedigrees and recent form that keep the field bunched, as small variations in playing time, opponent matchups, and team schemes can quickly shift per-game averages. This broad distribution of implied probabilities captures the uncertainty inherent in an unfolding season where multiple frontcourt and versatile defenders remain viable.
Polymarket 데이터를 참조하는 실험적 AI 생성 요약입니다. 이것은 거래 조언이 아니며 이 마켓의 정산에 영향을 미치지 않습니다. · 업데이트
외부 링크에 주의하세요.
외부 링크에 주의하세요.
자주 묻는 질문