Market snapshot: Oct 12, 2026, 12:00 AM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETSports

W50 Quebec City: Thara Gowda vs Anastasia Malysheva

Name: W50 Quebec City: Thara Gowda vs Anastasia Malysheva
End: 2026-10-18T18:00:00.000Z

Total Volume

$7.87K

Events

Markets

Trade on Polymarket

W50 Quebec City: Thara Gowda vs Anastasia Malysheva

Vol

$7.87K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $7.87K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $7.87K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

W50 Quebec City: Thara Gowda vs Anastasia Malysheva

No data available

Single-Platform Markets(1)

Market	Platform	Price
W50 Quebec City: Thara Gowda vs Anastasia Malysheva	Poly	100%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

100%

Top Probability

$7.87K

Volume

Markets

Platforms

About This Event

This market refers to the tennis match between Thara Gowda and Anastasia Malysheva in the W50 Quebec City, Qualifying, originally scheduled for October 11, 2026 at 2:00PM ET. This market will resolve to 'Thara Gowda' if Thara Gowda advances against Anastasia Malysheva. This market will resolve to 'Anastasia Malysheva' if Anastasia Malysheva advances against Thara Gowda. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 25, 2026, 11:59

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:** Monday, October 12, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** W50 Quebec City: Thara Gowda vs Anastasia Malysheva
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 18, 2026 (7 days left)
**Time Pressure:** Medium

**Description:** This market refers to the tennis match between Thara Gowda and Anastasia Malysheva in the W50 Quebec City, Qualifying, originally scheduled for October 11, 2026 at 2:00PM ET.

This market will resolve to 'Thara Gowda' if Thara Gowda advances against Anastasia Malysheva.

This market will resolve to 'Anastasia Malysheva' if Anastasia Malysheva advances against Thara Gowda.

If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 25, 2026, 11:59 

**Resolution Criteria (Sample):**
"This market refers to the tennis match between Thara Gowda and Anastasia Malysheva in the W50 Quebec City, Qualifying, originally scheduled for October 11, 2026 at 2:00PM ET.

This market will resolve to 'Thara Gowda' if Thara Gowda advances against Anastasia Malysheva.

This market will resolve to "

## 2. Market liquidity & Volume
* **Total Volume:** $7.9K
* **Total Liquidity:** $23.1K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.34)

## 3. Market Data (Prices & Odds)
### 1. W50 Quebec City: Thara Gowda vs Anastasia Malysheva
- **Polymarket** (End: Oct 18, 2026): Vol $7.9K
  DATA: [Thara Gowda: 99.6% (0.0%)] | [Anastasia Malysheva: 0.4% (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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Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.

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