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

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Catania: Pavel Lagutin vs Oleksandr Ovcharenko

Name: Catania: Pavel Lagutin vs Oleksandr Ovcharenko
End: 2026-10-19T09:10:00.000Z

Total Volume

$318.07

Events

Markets

Trade on Polymarket

Catania: Pavel Lagutin vs Oleksandr Ovcharenko

Vol

$318.07

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $318.07

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $318.07

100%

Polymarket leads

Price ChartMatched Markets Price Graph

2 markets tracked

Catania: Pavel Lagutin vs Oleksandr Ovcharenko

No data available

Single-Platform Markets(2)

Market	Platform	Price
Catania: Pavel Lagutin vs Oleksandr Ovcharenko	Poly	69%
Catania, Italy, Qualifying: Completed Match: Pavel Lagutin vs Oleksandr Ovcharenko	Poly	49%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

69%

Top Probability

$318.07

Volume

Markets

Platforms

About This Event

This market refers to the tennis match between Pavel Lagutin and Oleksandr Ovcharenko in the Catania, Italy, Qualifying, originally scheduled for October 12, 2026 at 5:10AM ET. This market will resolve to 'Pavel Lagutin' if Pavel Lagutin advances against Oleksandr Ovcharenko. This market will resolve to 'Oleksandr Ovcharenko' if Oleksandr Ovcharenko advances against Pavel Lagutin. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 26, 2

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:** Catania: Pavel Lagutin vs Oleksandr Ovcharenko
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 19, 2026 (8 days left)
**Time Pressure:** Medium

**Description:** This market refers to the tennis match between Pavel Lagutin and Oleksandr Ovcharenko in the Catania, Italy, Qualifying, originally scheduled for October 12, 2026 at 5:10AM ET.

This market will resolve to 'Pavel Lagutin' if Pavel Lagutin advances against Oleksandr Ovcharenko.

This market will resolve to 'Oleksandr Ovcharenko' if Oleksandr Ovcharenko advances against Pavel Lagutin.

If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 26, 2

**Resolution Criteria (Sample):**
"This market refers to the tennis match between Pavel Lagutin and Oleksandr Ovcharenko in the Catania, Italy, Qualifying, originally scheduled for October 12, 2026 at 5:10AM ET.

This market will resolve to 'Pavel Lagutin' if Pavel Lagutin advances against Oleksandr Ovcharenko.

This market will reso"

## 2. Market liquidity & Volume
* **Total Volume:** $318
* **Total Liquidity:** $7.4K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.04)

## 3. Market Data (Prices & Odds)
### 1. Catania: Pavel Lagutin vs Oleksandr Ovcharenko
- **Polymarket** (End: Oct 19, 2026): Vol $318
  DATA: [Pavel Lagutin: 68.5% (0.0%)] | [Oleksandr Ovcharenko: 31.5% (0.0%)]

### 2. Catania, Italy, Qualifying: Completed Match: Pavel Lagutin vs Oleksandr Ovcharenko
- **Polymarket** (End: Oct 19, 2026): Vol $0
  DATA: [Yes: 48.5% (0.0%)] | [No: 51.5% (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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