Aryna Sabalenka holds the top spot in the 2026 Women’s US Open winner market at 25.5% implied probability, reflecting her current WTA No. 1 ranking and proven hard-court results in recent majors. Iga Swiatek at 16.5% and Elena Rybakina at 12.3% follow closely, driven by their strong overall form, deep Grand Slam runs, and baseline power suited to the surface. A broad group of contenders including Linda Noskova, Anastasia Potapova, and Coco Gauff keeps the field competitive, with trader consensus shaped by WTA standings, injury recoveries, and momentum from the 2026 season. The hard-court emphasis and unpredictable nature of best-of-three sets in early rounds contribute to the spread across multiple players.
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 17%
埃琳娜·莱巴金娜 12.3%
阿纳斯塔西娅·波塔波娃 6.8%
$2,488,839 交易量
$2,488,839 交易量
阿丽娜·萨巴伦卡
26%
伊加·斯维亚泰克
17%
埃琳娜·莱巴金娜
12%
阿纳斯塔西娅·波塔波娃
7%
可可·高芙
6%
埃莉娜·斯维托丽娜
6%
王曦雨
5%
玛雅·乔因特
5%
米拉·安德烈娃
4%
阿曼达·阿尼西莫娃
4%
大坂直美
3%
杰西卡·佩古拉
2%
麦迪逊·凯斯
2%
戴安娜·施奈德
2%
卡罗琳娜·穆霍娃
1%
克拉拉·陶森
1%
维多利亚·姆博科
1%
柳德米拉·萨姆索诺娃
1%
巴博拉·克雷吉茨科娃
1%
贝琳达·本契奇
1%
琳达·诺斯科娃
6%
郑钦文
1%
耶莲娜·奥斯塔彭科
1%
贾斯明·保利尼
1%
Tereza Valentova
1%
埃莉斯·梅尔滕斯
1%
亚历山德拉·埃拉
1%
艾玛·拉杜卡努
<1%
埃玛·纳瓦罗
<1%
保拉·巴多萨
<1%
玛丽·鲍兹科娃
<1%
贝阿特丽斯·哈达德·玛雅
<1%
索菲娅·科宁
<1%
唐娜·维基奇
<1%
凯蒂·鲍尔特
<1%
马尔凯塔·冯德劳索娃
<1%
达亚娜·雅斯特雷姆斯卡
<1%
叶卡捷琳娜·亚历山德罗娃
<1%
达里娅·卡萨特金娜
<1%
Ashlyn Krueger
<1%
阿丽娜·萨巴伦卡 26%
伊加·斯维亚泰克 17%
埃琳娜·莱巴金娜 12.3%
阿纳斯塔西娅·波塔波娃 6.8%
$2,488,839 交易量
$2,488,839 交易量
阿丽娜·萨巴伦卡
26%
伊加·斯维亚泰克
17%
埃琳娜·莱巴金娜
12%
阿纳斯塔西娅·波塔波娃
7%
可可·高芙
6%
埃莉娜·斯维托丽娜
6%
王曦雨
5%
玛雅·乔因特
5%
米拉·安德烈娃
4%
阿曼达·阿尼西莫娃
4%
大坂直美
3%
杰西卡·佩古拉
2%
麦迪逊·凯斯
2%
戴安娜·施奈德
2%
卡罗琳娜·穆霍娃
1%
克拉拉·陶森
1%
维多利亚·姆博科
1%
柳德米拉·萨姆索诺娃
1%
巴博拉·克雷吉茨科娃
1%
贝琳达·本契奇
1%
琳达·诺斯科娃
6%
郑钦文
1%
耶莲娜·奥斯塔彭科
1%
贾斯明·保利尼
1%
Tereza Valentova
1%
埃莉斯·梅尔滕斯
1%
亚历山德拉·埃拉
1%
艾玛·拉杜卡努
<1%
埃玛·纳瓦罗
<1%
保拉·巴多萨
<1%
玛丽·鲍兹科娃
<1%
贝阿特丽斯·哈达德·玛雅
<1%
索菲娅·科宁
<1%
唐娜·维基奇
<1%
凯蒂·鲍尔特
<1%
马尔凯塔·冯德劳索娃
<1%
达亚娜·雅斯特雷姆斯卡
<1%
叶卡捷琳娜·亚历山德罗娃
<1%
达里娅·卡萨特金娜
<1%
Ashlyn Krueger
<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 holds the top spot in the 2026 Women’s US Open winner market at 25.5% implied probability, reflecting her current WTA No. 1 ranking and proven hard-court results in recent majors. Iga Swiatek at 16.5% and Elena Rybakina at 12.3% follow closely, driven by their strong overall form, deep Grand Slam runs, and baseline power suited to the surface. A broad group of contenders including Linda Noskova, Anastasia Potapova, and Coco Gauff keeps the field competitive, with trader consensus shaped by WTA standings, injury recoveries, and momentum from the 2026 season. The hard-court emphasis and unpredictable nature of best-of-three sets in early rounds contribute to the spread across multiple players.
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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