Market snapshot: Oct 12, 2026, 8:51 PM UTC. This snapshot is older than six hours. Check the provider for current prices and availability.

GroupPOLYMARKET

Event GroupPOLYMARKETSports

W50 Quebec City: Thara Gowda vs Sophia Xie

Name: W50 Quebec City: Thara Gowda vs Sophia Xie
End: 2026-10-19T16:00:00.000Z

Total Volume

$6.14K

Events

Markets

Trade on Polymarket

W50 Quebec City: Thara Gowda vs Sophia Xie

Vol

$6.14K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $6.14K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $6.14K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

2 markets tracked

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

W50 Quebec City: Thara Gowda vs Sophia Xie

No data available

Single-Platform Markets(2)

Market	Platform	Price
W50 Quebec City: Thara Gowda vs Sophia Xie	Poly	100%
Set Handicap: Thara Gowda (-1.5) vs Sophia Xie (+1.5)	Poly	100%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

100%

Top Probability

$6.14K

Volume

Markets

Platforms

About This Event

This market refers to the tennis match between Thara Gowda and Sophia Xie in the W50 Quebec City, Qualifying, originally scheduled for October 12, 2026 at 12:00PM ET. This market will resolve to 'Thara Gowda' if Thara Gowda advances against Sophia Xie. This market will resolve to 'Sophia Xie' if Sophia Xie 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 26, 2026, 11:59 PM ET (14 days after the scheduled

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:** Tuesday, October 13, 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 Sophia Xie
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 19, 2026 (7 days left)
**Time Pressure:** Medium

**Description:** This market refers to the tennis match between Thara Gowda and Sophia Xie in the W50 Quebec City, Qualifying, originally scheduled for October 12, 2026 at 12:00PM ET.

This market will resolve to 'Thara Gowda' if Thara Gowda advances against Sophia Xie.

This market will resolve to 'Sophia Xie' if Sophia Xie 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 26, 2026, 11:59 PM ET (14 days after the scheduled 

**Resolution Criteria (Sample):**
"This market refers to the tennis match between Thara Gowda and Sophia Xie in the W50 Quebec City, Qualifying, originally scheduled for October 12, 2026 at 12:00PM ET.

This market will resolve to 'Thara Gowda' if Thara Gowda advances against Sophia Xie.

This market will resolve to 'Sophia Xie' if S"

## 2. Market liquidity & Volume
* **Total Volume:** $6.1K
* **Total Liquidity:** $63.9K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.10)

## 3. Market Data (Prices & Odds)
### 1. W50 Quebec City: Thara Gowda vs Sophia Xie
- **Polymarket** (End: Oct 19, 2026): Vol $6.1K
  DATA: [Thara Gowda: 100.0% (0.0%)] | [Sophia Xie: 0.1% (0.0%)]

### 2. Set Handicap: Thara Gowda (-1.5) vs Sophia Xie (+1.5)
- **Polymarket** (End: Oct 19, 2026): Vol $0
  DATA: [Thara Gowda: 99.6% (0.0%)] | [Sophia Xie: 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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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.

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