2026 Women’s US Open Winner (Tennis)

$2.7M Vol
Sep 13, 2026
Active
Probability Trend
Aryna Sabalenka 21.5%
Iga Swiatek 14.5%
Elena Rybakina 10.8%
Mirra Andreeva 6.6%
Coco Gauff 5.3%

Core Summary

According to the latest prediction market data for the query “2026 Women’s US Open Winner (Tennis)”, traders have formed a strong consensus.

Currently, Aryna Sabalenka is dominating the market with an overwhelming 25.5% chance of winning. Iga Swiatek follows in second place at 13%, while Elena Rybakina sits in third with 11.4%. The betting volume for this specific market has already reached $2.7M, reflecting intense industry interest.

Breakdown of Competitive Tiers

To better assess where each potential outcome stands, the market can be segmented into three distinct trading tiers based on implied probability and contract pricing:

🥇 Tier 1: The Dominant Leader

  • Aryna Sabalenka (25.5%): Currently commanding the highest probability, Aryna Sabalenka is heavily favored by the order book. Traders looking to back this outcome face a “Buy Yes” contract price of 26¢, signaling a high degree of market conviction. This contract alone has generated $5.4K in volume.

🥈 Tier 2: The Primary Challengers

  • Iga Swiatek (13%): Positioned as the most viable alternative, Iga Swiatek maintains a 13% chance of resolving true. Its “Buy Yes” shares currently trade at 13¢.
  • Elena Rybakina (11.4%): Sitting in third place with a 11.4% probability, the market shows measured skepticism toward Elena Rybakina, treating it as an outside wildcard unless momentum shifts.

🥉 Tier 3: The Long-Tail Options (Combining for ~50.2%)

Beyond the top three choices, a wide field of macro variables and long-shot outcomes are being tracked. While their individual probabilities hover low, they represent crucial hedges for speculative traders:

  • Alternative Options: This includes Coco Gauff (5.7%), Mirra Andreeva (4.7%), and Amanda Anisimova (4.4%).
  • Speculative Volume: Despite low statistical likelihood, certain long-tail contracts like Elina Svitolina are still attracting notable interest.

Comprehensive Order Book & Pricing Dashboard

The table below outlines the full breakdown of contract prices, probabilities, and market depth for all listed outcomes in this prediction pool:

RankPredicted OutcomeWin ProbabilityTrading VolumeBuy Yes (Cost)Buy No (Cost)
1Aryna Sabalenka25.5%$5.4K26¢75¢
2Iga Swiatek13.0%$5.3K13¢87¢
3Elena Rybakina11.3%$67.0K11¢89¢
4Coco Gauff5.7%$10.9K94¢
5Mirra Andreeva4.7%$18.1K95¢
6Amanda Anisimova4.3%$51.2K96¢
7Elina Svitolina2.9%$3.4K97¢
8Jessica Pegula2.3%$80.7K98¢
9Diana Shnaider1.8%$24.5K98¢
10Madison Keys1.7%$2.9K98¢
11Karolina Muchova1.7%$3.4K98¢
12Naomi Osaka1.6%$2.5K98¢
13Victoria Mboko1.3%$3.3K99¢
14Qinwen Zheng0.9%$220.1K99¢
15Emma Navarro0.9%$17.7K99¢
16Marie Bouzkova0.9%$24.1K99¢
17Anastasia Potapova0.9%$416.2K99¢
18Alexandra Eala0.9%$245.6K99¢
19Linda Noskova0.8%$4.0K99¢
20Jelena Ostapenko0.8%$3.1K99¢
21Clara Tauson0.7%$2.2K99¢
22Belinda Bencic0.7%$40.3K99¢
23Elise Mertens0.6%$20.1K99¢
24Barbora Krejcikova0.5%$520.8K99¢
25Jasmine Paolini0.5%$4.0K100¢
26Ashlyn Krueger0.4%$20.0K100¢
27Marketa Vondrousova0.4%$2.3K100¢
28Emma Raducanu0.4%$41.5K100¢
29Tereza Valentova0.4%$542.6K100¢
30Donna Vekic0.4%$109.1K100¢
31Ekaterina Alexandrova0.4%$9.3K100¢
32Daria Kasatkina0.4%$4.4K100¢
33Liudmila Samsonova0.4%$14.2K100¢
34Dayana Yastremska0.3%$3.4K100¢
35Paula Badosa0.3%$8.2K100¢
36Maya Joint0.3%$31.8K100¢
37Beatriz Haddad Maia0.3%$24.9K100¢
38Sofia Kenin0.2%$2.2K100¢
39Katie Boulter0.2%$50.3K100¢
40Xiyu Wang0.1%$20.1K100¢

Result Rules

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.

AI Valuation Analysis: Finding Market Mispricings & EV Gaps

While human consensus and speculative volume shape the broader prediction market, our quantitative algorithms offer a data-driven counter-perspective. By analyzing fundamental signals, underlying trends and historical distributions, our AI Valuation model calculates an independent “Fair Value” probability for each outcome.

Comparing this Fair Value against the current Trade Value uncovers major disparities — known as the Expected Value (EV) Gap. Contracts with a positive EV Gap represent statistically underpriced outcomes, whereas a negative EV Gap flags a potential market overreaction.

Top AI Alpha & Mispriced Arbitrage Opportunities

Based on the latest data model run, several key contracts stand out with significant deviations:

  • The Best Value Play (Highest EV) Our model identifies Madison Keys as the premium value opportunity on the board. While the market only assigns it a 1.7% trading probability, our AI’s Fair Value assessment sits at 45.3% — yielding an impressive +43.6% EV Gap.
  • Under-the-Radar Dark Horses Other notable discrepancies include Katie Boulter (EV Gap: +42.5%) and Diana Shnaider (EV Gap: +41.9%). These long-tail opportunities are heavily discounted by the live order books despite stronger statistical backing from our predictive model.
MarketTrade ValueFair ValueEV Gap
Aryna Sabalenka25.5%39.1%+13.7%
Iga Swiatek13.0%40.5%+27.5%
Elena Rybakina11.3%41.6%+30.3%
Coco Gauff5.7%43.0%+37.3%
Mirra Andreeva4.7%44.4%+39.7%
Amanda Anisimova4.3%37.3%+32.9%
Elina Svitolina2.9%34.6%+31.7%
Jessica Pegula2.3%38.5%+36.2%
Diana Shnaider1.8%43.6%+41.9%
Madison KeysBest EV1.7%45.3%+43.6%
Karolina Muchova1.7%39.1%+37.5%
Naomi Osaka1.6%34.8%+33.2%
Victoria Mboko1.3%40.5%+39.3%
Qinwen Zheng0.9%39.3%+38.4%
Emma Navarro0.9%40.9%+40.0%
Marie Bouzkova0.9%37.5%+36.6%
Anastasia Potapova0.9%40.1%+39.2%
Alexandra Eala0.9%39.9%+39.0%
Linda Noskova0.8%36.7%+36.0%
Jelena Ostapenko0.8%33.2%+32.4%
Clara Tauson0.7%40.3%+39.6%
Belinda Bencic0.7%39.3%+38.6%
Elise Mertens0.6%37.3%+36.7%
Barbora Krejcikova0.5%37.0%+36.4%
Jasmine Paolini0.5%37.6%+37.1%
Ashlyn Krueger0.4%38.3%+37.9%
Marketa Vondrousova0.4%37.4%+37.0%
Emma Raducanu0.4%38.7%+38.3%
Tereza Valentova0.4%38.4%+38.0%
Donna Vekic0.4%38.8%+38.4%
Ekaterina Alexandrova0.4%36.1%+35.8%
Daria Kasatkina0.4%34.2%+33.9%
Liudmila Samsonova0.4%38.7%+38.3%
Dayana Yastremska0.3%37.1%+36.8%
Paula Badosa0.3%40.0%+39.7%
Maya Joint0.3%37.7%+37.5%
Beatriz Haddad Maia0.3%41.1%+40.8%
Sofia Kenin0.2%37.2%+37.0%
Katie Boulter0.2%42.7%+42.5%
Xiyu Wang0.1%41.7%+41.6%

Trade Activities

Here is the trade activities for this event.

Jun 30, 2026

  • 03:44 AM
    B4b41eAd279375742D6C2A1A2239Bdce56376411fD.
    $1.20

    Bought 40 Yes for Will Jessica Pegula win the 2026 Women’s US Open? at 0.03

  • 03:44 AM
    BEbenoitgagnon997
    $1.02

    Bought 34 Yes for Will Jessica Pegula win the 2026 Women’s US Open? at 0.03

  • 03:43 AM
    BEbenoitgagnon997
    $0.93

    Bought 31 Yes for Will Amanda Anisimova win the 2026 Women’s US Open? at 0.03

  • 03:35 AM
    BEbenoitgagnon997
    $0.93

    Bought 92.52 Yes for Will Jasmine Paolini win the 2026 Women’s US Open? at 0.01

  • 03:30 AM
    BEbenoitgagnon997
    $2.52

    Bought 251.62 Yes for Will Diana Shnaider win the 2026 Women’s US Open? at 0.01

  • 03:27 AM
    B4b41eAd279375742D6C2A1A2239Bdce56376411fD.
    $1.20

    Bought 40 Yes for Will Jessica Pegula win the 2026 Women’s US Open? at 0.03

  • 03:21 AM
    BEbenoitgagnon997
    $0.35

    Bought 34.7 Yes for Will Belinda Bencic win the 2026 Women’s US Open? at 0.01

Jun 29, 2026

  • 07:31 PM
    0X0x66E7ce01C6831B8A2503D09eDD6167152Ee68BcD-1771870353938
    $0.91

    Bought 18.181817 Yes for Will Coco Gauff win the 2026 Women’s US Open? at 0.05

  • 05:20 PM
    TWtwentys2
    $0.89

    Sold 88.76 Yes for Will Emma Raducanu win the 2026 Women’s US Open? at 0.01

  • 04:18 PM
    $0.00

    Bought 524.78 Yes for Will Marketa Vondrousova win the 2026 Women’s US Open? at 0

  • 02:49 PM
    CHChristmasCracker
    $56.05

    Sold 266.9 Yes for Will Aryna Sabalenka win the 2026 Women’s US Open? at 0.21

  • 12:20 PM
    5252adsa
    $0.30

    Sold 5 Yes for Will Mirra Andreeva win the 2026 Women’s US Open? at 0.06

Whales Wallets That Are Betting on This Event

A51
0xa5ef…2966
Event PnL
+$197,362.39
Volume
$202,042.19
Positions
NoNoNo+37
BA2
balthazar
Event PnL
-$217.36
Volume
$52,279.23
Positions
YesYesYes+37
CR3
cry.eth2
Event PnL
+$49.64
Volume
$29,587.60
Positions
YesYesYes+37
EE4
0xEe11…8307
Event PnL
+$27.66
Volume
$10,712.31
Positions
YesYesYes+14
VA5
valentovastan
Event PnL
+$45.20
Volume
$10,275.89
Positions
NoYesYes+16
CH6
ChristmasCracker
Event PnL
+$10.91
Volume
$9,343.37
Positions
YesYesYes+23
TW7
twentys2
Event PnL
+$27.88
Volume
$8,873.97
Positions
YesYesYes+8
CO8
ContrarianLong
Event PnL
+$114.07
Volume
$8,090.61
Positions
YesYesYes+20

Frequently Asked Questions

What is the current market consensus on "2026 Women’s US Open Winner (Tennis)"?

As of the latest update, Aryna Sabalenka leads the field as the frontrunner with a 25.5% win probability, followed by Iga Swiatek at 13% and Elena Rybakina at 11.4%. Total trading volume for this pool has reached $2.7M, indicating deep liquidity and high trader engagement.

How does the AI Fair Value differ from the live Market Trade Value?

The live Market Trade Value reflects public sentiment, order-book momentum and speculative capital. Our AI Fair Value is computed independently with quantitative models that strip out hype to focus on underlying data. When the two diverge, it creates an EV Gap, flagging where the market may be mispricing an outcome.

Which outcome represents the highest Expected Value (EV) right now?

Our latest run flags Madison Keys as the most significant mispricing. While the market trades it at a 1.7% implied probability, our AI calculates a Fair Value of 45.3% — an Expected Value gap of +43.6%, making it the premium value play in this pool.

Are there any high-value dark horse options hidden in the long-tail data?

Absolutely. Beyond the headline outcomes, our model highlights under-the-radar potential in lower-ranked options. Katie Boulter holds a positive EV Gap of +42.5%, and Diana Shnaider shows +41.9%. These contracts are discounted by live order books despite stronger quantitative backing.

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