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icon for 2026年美国女子网球公开赛冠军(网球)

2026年美国女子网球公开赛冠军(网球)

icon for 2026年美国女子网球公开赛冠军(网球)

2026年美国女子网球公开赛冠军(网球)

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%

Polymarket

$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 12.3%

阿纳斯塔西娅·波塔波娃 6.8%

Polymarket

$2,488,839 交易量

阿丽娜·萨巴伦卡

$5,018 交易量

26%

伊加·斯维亚泰克

$4,782 交易量

17%

埃琳娜·莱巴金娜

$66,411 交易量

12%

阿纳斯塔西娅·波塔波娃

$415,767 交易量

7%

可可·高芙

$8,598 交易量

6%

埃莉娜·斯维托丽娜

$3,168 交易量

6%

王曦雨

$18,759 交易量

5%

玛雅·乔因特

$30,943 交易量

5%

米拉·安德烈娃

$16,787 交易量

4%

阿曼达·阿尼西莫娃

$50,141 交易量

4%

大坂直美

$2,240 交易量

3%

杰西卡·佩古拉

$79,887 交易量

2%

麦迪逊·凯斯

$2,541 交易量

2%

戴安娜·施奈德

$23,796 交易量

2%

卡罗琳娜·穆霍娃

$2,966 交易量

1%

克拉拉·陶森

$2,189 交易量

1%

维多利亚·姆博科

$2,120 交易量

1%

柳德米拉·萨姆索诺娃

$14,011 交易量

1%

巴博拉·克雷吉茨科娃

$519,698 交易量

1%

贝琳达·本契奇

$40,077 交易量

1%

琳达·诺斯科娃

$3,422 交易量

6%

郑钦文

$219,121 交易量

1%

耶莲娜·奥斯塔彭科

$2,557 交易量

1%

贾斯明·保利尼

$3,225 交易量

1%

Tereza Valentova

$467,273 交易量

1%

埃莉斯·梅尔滕斯

$19,835 交易量

1%

亚历山德拉·埃拉

$244,195 交易量

1%

艾玛·拉杜卡努

$41,503 交易量

<1%

埃玛·纳瓦罗

$16,900 交易量

<1%

保拉·巴多萨

$6,764 交易量

<1%

玛丽·鲍兹科娃

$23,201 交易量

<1%

贝阿特丽斯·哈达德·玛雅

$24,934 交易量

<1%

索菲娅·科宁

$2,218 交易量

<1%

唐娜·维基奇

$20,549 交易量

<1%

凯蒂·鲍尔特

$49,724 交易量

<1%

马尔凯塔·冯德劳索娃

$1,639 交易量

<1%

达亚娜·雅斯特雷姆斯卡

$1,885 交易量

<1%

叶卡捷琳娜·亚历山德罗娃

$7,857 交易量

<1%

达里娅·卡萨特金娜

$4,042 交易量

<1%

Ashlyn Krueger

$18,293 交易量

<1%

The 2026 U.S. Open tennis tournament is scheduled for August 23 - September 13, 2026. 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.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.

The 2026 U.S. Open tennis tournament is scheduled for August 23 - September 13, 2026.

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.
交易量
$2,488,839
结束日期
2026-09-13
市场开放时间
Jan 2, 2026, 2:09 PM ET
The 2026 U.S. Open tennis tournament is scheduled for August 23 - September 13, 2026. 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.
The 2026 U.S. Open tennis tournament is scheduled for August 23 - September 13, 2026. 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.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.

The 2026 U.S. Open tennis tournament is scheduled for August 23 - September 13, 2026.

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.
交易量
$2,488,839
结束日期
2026-09-13
市场开放时间
Jan 2, 2026, 2:09 PM ET
The 2026 U.S. Open tennis tournament is scheduled for August 23 - September 13, 2026. 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.

警惕外部链接哦。

常见问题

"2026年美国女子网球公开赛冠军(网球)"是 Polymarket 上一个拥有 40+ 个可能结果的预测市场,交易者根据自己的判断买卖份额。当前领先结果为"阿丽娜·萨巴伦卡",概率为 26%,其次是"伊加·斯维亚泰克",概率为 17%。价格反映社区的实时概率。例如,价格为 26¢ 的份额意味着市场集体认为该结果的概率为 26%。这些赔率会随着交易者的反应而不断变化。正确结果的份额在市场结算时可兑换为每份 $1。

截至目前,"2026年美国女子网球公开赛冠军(网球)"已产生 $2.5 million 的总交易量(自Jan 2, 2026市场上线以来)。这一活跃度反映了 Polymarket 社区的高度参与,并确保当前赔率由广泛的市场参与者共同形成。你可以直接在本页追踪实时价格变动并交易任何结果。

要在"2026年美国女子网球公开赛冠军(网球)"上交易,浏览本页上列出的 40+ 个可用结果。每个结果显示一个代表市场隐含概率的当前价格。要建仓,选择你认为最可能的结果,选择"是"支持或"否"反对,输入金额并点击"交易"。如果你选择的结果在市场结算时正确,你的"是"份额每份支付 $1。如果不正确,支付 $0。你也可以在结算前随时卖出份额。

"2026年美国女子网球公开赛冠军(网球)"的当前领先者是"阿丽娜·萨巴伦卡",概率为 26%,意味着市场对该结果的概率评估为 26%。紧随其后的结果是"伊加·斯维亚泰克",概率为 17%。这些赔率随着交易者买卖份额而实时更新。请经常回来查看或将本页加入书签。

"2026年美国女子网球公开赛冠军(网球)"的结算规则明确定义了每个结果被宣布为获胜者所需满足的条件——包括用于确定结果的官方数据来源。你可以在本页评论上方的"规则"部分查看完整的结算标准。我们建议在交易前仔细阅读规则,因为它们规定了精确的条件、特殊情况和数据来源。