Market snapshot: Oct 11, 2026, 9:47 PM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETSports

W35 Santa Margherita di Pula: Sofia Shapatava vs Alessandra Mazzola

Name: W35 Santa Margherita di Pula: Sofia Shapatava vs Alessandra Mazzola
End: 2026-10-14T08:30:00.000Z

Total Volume

$499.23

Events

Markets

Trade on Polymarket

W35 Santa Margherita di Pula: Sofia Shapatava vs Alessandra Mazzola

Vol

$499.23

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $499.23

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $499.23

100%

Polymarket leads

Price ChartMatched Markets Price Graph

2 markets tracked

Set Handicap: Alessandra Mazzola (-1.5) vs Sofia Shapatava (+1.5)

No data available

Single-Platform Markets(2)

Market	Platform	Price
Set Handicap: Alessandra Mazzola (-1.5) vs Sofia Shapatava (+1.5)	Poly	50%
W35 Santa Margherita di Pula: Sofia Shapatava vs Alessandra Mazzola	Poly	1%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

50%

Top Probability

$499.23

Volume

Markets

Platforms

About This Event

This market refers to the tennis match between Sofia Shapatava and Alessandra Mazzola in the W35 Santa Margherita di Pula, Main Draw, originally scheduled for October 7, 2026 at 4:30AM ET. This market will resolve to 'Sofia Shapatava' if Sofia Shapatava advances against Alessandra Mazzola. This market will resolve to 'Alessandra Mazzola' if Alessandra Mazzola advances against Sofia Shapatava. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by O

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:** Sunday, October 11, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** W35 Santa Margherita di Pula: Sofia Shapatava vs Alessandra Mazzola
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 14, 2026 (3 days left)
**Time Pressure:** High

**Description:** This market refers to the tennis match between Sofia Shapatava and Alessandra Mazzola in the W35 Santa Margherita di Pula, Main Draw, originally scheduled for October 7, 2026 at 4:30AM ET.

This market will resolve to 'Sofia Shapatava' if Sofia Shapatava advances against Alessandra Mazzola.

This market will resolve to 'Alessandra Mazzola' if Alessandra Mazzola advances against Sofia Shapatava.

If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by O

**Resolution Criteria (Sample):**
"This market refers to the tennis match between Sofia Shapatava and Alessandra Mazzola in the W35 Santa Margherita di Pula, Main Draw, originally scheduled for October 7, 2026 at 4:30AM ET.

This market will resolve to 'Sofia Shapatava' if Sofia Shapatava advances against Alessandra Mazzola.

This ma"

## 2. Market liquidity & Volume
* **Total Volume:** $499
* **Total Liquidity:** $111
* **Activity Level:** Stable (Vol/Liq Ratio: 4.49)

## 3. Market Data (Prices & Odds)
### 1. W35 Santa Margherita di Pula: Sofia Shapatava vs Alessandra Mazzola
- **Polymarket** (End: Oct 14, 2026): Vol $499
  DATA: [Sofia Shapatava: 1.0% (0.0%)] | [Alessandra Mazzola: 99.0% (0.0%)]

### 2. Set Handicap: Alessandra Mazzola (-1.5) vs Sofia Shapatava (+1.5)
- **Polymarket** (End: Oct 14, 2026): Vol $0
  DATA: [Alessandra Mazzola: 50.0% (0.0%)] | [Sofia Shapatava: 50.0% (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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Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.

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