Market snapshot: Sep 8, 2026, 9:02 PM UTC. This snapshot is older than six hours. Check the provider for current prices and availability.

GroupPOLYMARKET

Event GroupPOLYMARKETSports

2026 Women’s US Open Winner (Tennis)

Name: 2026 Women’s US Open Winner (Tennis)
End: 2026-09-13T00:00:00.000Z

Total Volume

$10.05M

Events

Markets

Trade on Polymarket

2026 Women’s US Open Winner (Tennis)

Vol

$10.05M

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $10.05M

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Price gaps

of 0 cross-platform

Saved prices are comparisons, not executable quotes. A price difference does not establish arbitrage. Check both contracts, live order prices, fees and available size.

Volume DistributionTotal: $10.05M

100%

Polymarket leads

Price ChartMatched Markets Price Graph

8 markets tracked

Historical observations can differ from current quotes. Kalshi points are hourly trade averages.

Saved prices are comparisons, not executable quotes. A price difference does not establish arbitrage. Check both contracts, live order prices, fees and available size.

Will Aryna Sabalenka win the 2026 Women’s US Open?

No data available

Single-Platform Markets(8)

Market	Platform	Price
Will Aryna Sabalenka win the 2026 Women’s US Open?	Poly	39%
Will Coco Gauff win the 2026 Women’s US Open?	Poly	22%
Will Elena Rybakina win the 2026 Women’s US Open?	Poly	20%
Will Jessica Pegula win the 2026 Women’s US Open?	Poly	10%
Will Mirra Andreeva win the 2026 Women’s US Open?	Poly	8%
Will Qinwen Zheng win the 2026 Women’s US Open?	Poly	4%
Will Emma Navarro win the 2026 Women’s US Open?	Poly	2%
Will Linda Noskova win the 2026 Women’s US Open?	Poly	0%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

39%

Top Probability

$10.05M

Volume

Markets

Platforms

About This Event

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 wi

AI-generated analysis based on market data. Not financial advice.

Custom AI Analysis Prompt

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Open in:ChatGPT Claude Gemini Grok DeepSeek

**Role:** Expert Prediction Market Analyst & Trader
**Objective:** Analyze the provided betting market data to deliver actionable insights, identify mispricings, and perform scenario analysis.
**Current Date:** Wednesday, October 14, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** 2026 Women’s US Open Winner (Tennis)
**Category:** Sports | **Status:** active
**Resolution Date:** Sep 13, 2026 (Ended)
**Time Pressure:** Expired

**Description:** 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 wi

**Resolution Criteria (Sample):**
"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 t"

## 2. Market liquidity & Volume
* **Total Volume:** $2.05M
* **Total Liquidity:** $460.7K
* **Activity Level:** Stable (Vol/Liq Ratio: 4.46)

## 3. Market Data (Prices & Odds)
### 1. Will Aryna Sabalenka win the 2026 Women’s US Open?
- **Polymarket** (End: Sep 13, 2026): Vol $235.7K
  DATA: [Yes: 38.5% (0.0%)] | [No: 61.5% (0.0%)]

### 2. Will Coco Gauff win the 2026 Women’s US Open?
- **Polymarket** (End: Sep 13, 2026): Vol $204.9K
  DATA: [Yes: 22.1% (0.0%)] | [No: 78.0% (0.0%)]

### 3. Will Mirra Andreeva win the 2026 Women’s US Open?
- **Polymarket** (End: Sep 13, 2026): Vol $207.6K
  DATA: [Yes: 7.8% (0.0%)] | [No: 92.3% (0.0%)]

### 4. Will Elena Rybakina win the 2026 Women’s US Open?
- **Polymarket** (End: Sep 13, 2026): Vol $368.2K
  DATA: [Yes: 19.7% (0.0%)] | [No: 80.3% (0.0%)]

### 5. Will Qinwen Zheng win the 2026 Women’s US Open?
- **Polymarket** (End: Sep 13, 2026): Vol $466.3K
  DATA: [Yes: 4.0% (0.0%)] | [No: 96.0% (0.0%)]

### 6. Will Jessica Pegula win the 2026 Women’s US Open?
- **Polymarket** (End: Sep 13, 2026): Vol $239.9K
  DATA: [Yes: 9.7% (0.0%)] | [No: 90.3% (0.0%)]

### 7. Will Emma Navarro win the 2026 Women’s US Open?
- **Polymarket** (End: Sep 13, 2026): Vol $160.0K
  DATA: [Yes: 1.7% (0.0%)] | [No: 98.4% (0.0%)]

### 8. Will Linda Noskova win the 2026 Women’s US Open?
- **Polymarket** (End: Sep 13, 2026): Vol $170.7K
  DATA: [Yes: 0.1% (0.0%)] | [No: 100.0% (0.0%)]

---

## Analysis Instructions
Please provide a structured analysis using the following template:

### 1. Executive Summary
*   **Verdict:** [Most Likely Outcome]
*   **Confidence:** [0-100]%
*   **Timeframe:** [Immediate / Short-term / Long-term]
*   **Actionable Trade:** [Buy YES / Buy NO / Stay Away] (Include entry price target if applicable)
*   **Rationale:** 2-sentence summary of the core thesis.

### 2. Scenario Analysis
*   **Bull Case (Why YES goes up):** List specific catalysts or data points.
*   **Bear Case (Why YES goes down):** List specifics.
*   **Invalidation Point:** What happens to prove your thesis wrong?

### 3. Market Mechanics & Risks
*   **Liquidity/Volume Analysis:** Is the market efficient? Is it easy to exit?
*   **Cross-Platform Arbitrage:** (If applicable) Is the spread tradeable after fees?
*   **Time Decay:** How does time passing affect this position?

### 4. Signal Scores (0-100)
*   **Momentum:** [Score] (Price trend & velocity)
*   **Conviction:** [Score] (Volume backing the move)
*   **Information Edge:** [Score] (Likelihood of non-public info affecting price)
*   **Risk/Reward:** [Score] (Potential upside vs downside)

**Constraints:**
- Be direct and objective.
- Use bullet points for readability.
- If data is conflicting or insufficient, explicitly state "Low Confidence".

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AI-written background. References identify the evidence used; Wikipedia links under Learn More are additional reading. Prices and provider rules are dated snapshots. This is not financial advice.

POLYMARKETSports