Aryna Sabalenka leads trader consensus at 25.5% implied probability as the two-time defending champion seeking a third straight US Open title, backed by her elite hard-court record and consistent Grand Slam results despite earlier 2026 schedule management for injury prevention. Iga Swiatek’s recent National Bank Open triumph over Elena Rybakina has lifted her to 13.5%, highlighting improved hard-court form after a mixed season. Rybakina, Coco Gauff, and Naomi Osaka follow as the next tier, differentiated by strong recent hard-court showings, athletic baseline play, and past major success. The wide field reflects WTA depth, variable player form on outdoor hard courts, and the potential for upsets in a draw where rest, surface adaptation, and head-to-head history weigh heavily among contenders.
基于Polymarket数据的AI实验性摘要。这不是交易建议,也不影响该市场的结算方式。 · 更新于阿丽娜·萨巴伦卡 26%
伊加·斯维亚泰克 14%
埃琳娜·莱巴金娜 9.8%
可可·高芙 8.8%
$6,706,858 交易量
$6,706,858 交易量
阿丽娜·萨巴伦卡
26%
伊加·斯维亚泰克
14%
埃琳娜·莱巴金娜
10%
可可·高芙
9%
大坂直美
7%
米拉·安德烈娃
6%
杰西卡·佩古拉
4%
亚历山德拉·埃拉
4%
琳达·诺斯科娃
3%
阿曼达·阿尼西莫娃
3%
埃莉娜·斯维托丽娜
2%
卡罗琳娜·穆霍娃
2%
麦迪逊·凯斯
1%
巴博拉·克雷吉茨科娃
1%
戴安娜·施奈德
1%
叶卡捷琳娜·亚历山德罗娃
1%
埃玛·纳瓦罗
1%
贝琳达·本契奇
1%
郑钦文
1%
埃莉斯·梅尔滕斯
1%
柳德米拉·萨姆索诺娃
1%
贾斯明·保利尼
1%
玛丽·鲍兹科娃
<1%
Tereza Valentova
<1%
耶莲娜·奥斯塔彭科
<1%
唐娜·维基奇
<1%
保拉·巴多萨
<1%
阿纳斯塔西娅·波塔波娃
<1%
Ashlyn Krueger
<1%
克拉拉·陶森
<1%
艾玛·拉杜卡努
<1%
达亚娜·雅斯特雷姆斯卡
<1%
王曦雨
<1%
贝阿特丽斯·哈达德·玛雅
<1%
索菲娅·科宁
<1%
玛雅·乔因特
<1%
达里娅·卡萨特金娜
<1%
凯蒂·鲍尔特
<1%
马尔凯塔·冯德劳索娃
<1%
维多利亚·姆博科
<1%
阿丽娜·萨巴伦卡 26%
伊加·斯维亚泰克 14%
埃琳娜·莱巴金娜 9.8%
可可·高芙 8.8%
$6,706,858 交易量
$6,706,858 交易量
阿丽娜·萨巴伦卡
26%
伊加·斯维亚泰克
14%
埃琳娜·莱巴金娜
10%
可可·高芙
9%
大坂直美
7%
米拉·安德烈娃
6%
杰西卡·佩古拉
4%
亚历山德拉·埃拉
4%
琳达·诺斯科娃
3%
阿曼达·阿尼西莫娃
3%
埃莉娜·斯维托丽娜
2%
卡罗琳娜·穆霍娃
2%
麦迪逊·凯斯
1%
巴博拉·克雷吉茨科娃
1%
戴安娜·施奈德
1%
叶卡捷琳娜·亚历山德罗娃
1%
埃玛·纳瓦罗
1%
贝琳达·本契奇
1%
郑钦文
1%
埃莉斯·梅尔滕斯
1%
柳德米拉·萨姆索诺娃
1%
贾斯明·保利尼
1%
玛丽·鲍兹科娃
<1%
Tereza Valentova
<1%
耶莲娜·奥斯塔彭科
<1%
唐娜·维基奇
<1%
保拉·巴多萨
<1%
阿纳斯塔西娅·波塔波娃
<1%
Ashlyn Krueger
<1%
克拉拉·陶森
<1%
艾玛·拉杜卡努
<1%
达亚娜·雅斯特雷姆斯卡
<1%
王曦雨
<1%
贝阿特丽斯·哈达德·玛雅
<1%
索菲娅·科宁
<1%
玛雅·乔因特
<1%
达里娅·卡萨特金娜
<1%
凯蒂·鲍尔特
<1%
马尔凯塔·冯德劳索娃
<1%
维多利亚·姆博科
<1%
This market will resolve to the player that wins the 2026 U.S. Open Women’s Singles Tournament.
If at any point it becomes impossible for a listed player to win the 2026 U.S. Open Women’s Singles Tournament per the rules of the tournament, the corresponding market will resolve to “No”.
If the 2026 U.S. Open Women’s Singles Tournament is cancelled, postponed after October 31, 2026, or there is otherwise no winner declared within that timeframe, this market will resolve to “Other”.
The primary resolution source will be official information from the U.S. Open (https://www.usopen.org/index.html); however, a consensus of credible reporting may also be used.
市场开放时间: Jan 2, 2026, 2:09 PM ET
Resolver
0x2F5e3684c...This market will resolve to the player that wins the 2026 U.S. Open Women’s Singles Tournament.
If at any point it becomes impossible for a listed player to win the 2026 U.S. Open Women’s Singles Tournament per the rules of the tournament, the corresponding market will resolve to “No”.
If the 2026 U.S. Open Women’s Singles Tournament is cancelled, postponed after October 31, 2026, or there is otherwise no winner declared within that timeframe, this market will resolve to “Other”.
The primary resolution source will be official information from the U.S. Open (https://www.usopen.org/index.html); however, a consensus of credible reporting may also be used.
Resolver
0x2F5e3684c...Aryna Sabalenka leads trader consensus at 25.5% implied probability as the two-time defending champion seeking a third straight US Open title, backed by her elite hard-court record and consistent Grand Slam results despite earlier 2026 schedule management for injury prevention. Iga Swiatek’s recent National Bank Open triumph over Elena Rybakina has lifted her to 13.5%, highlighting improved hard-court form after a mixed season. Rybakina, Coco Gauff, and Naomi Osaka follow as the next tier, differentiated by strong recent hard-court showings, athletic baseline play, and past major success. The wide field reflects WTA depth, variable player form on outdoor hard courts, and the potential for upsets in a draw where rest, surface adaptation, and head-to-head history weigh heavily among contenders.
基于Polymarket数据的AI实验性摘要。这不是交易建议,也不影响该市场的结算方式。 · 更新于


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