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

GroupPOLYMARKET

Event GroupPOLYMARKETSports

M15 Pontevedra: Alexander Petrov vs Samuel Garcia Hernandez

Name: M15 Pontevedra: Alexander Petrov vs Samuel Garcia Hernandez
End: 2026-10-11T09:00:00.000Z

Total Volume

$1.52K

Events

Markets

Trade on Polymarket

M15 Pontevedra: Alexander Petrov vs Samuel Garcia Hernandez

Vol

$1.52K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $1.52K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $1.52K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

M15 Pontevedra, Qualifying: Completed Match: Alexander Petrov vs Samuel Garcia Hernandez

No data available

Single-Platform Markets(1)

Market	Platform	Price
M15 Pontevedra, Qualifying: Completed Match: Alexander Petrov vs Samuel Garcia Hernandez	Poly	0%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

Top Probability

$1.52K

Volume

Markets

Platforms

About This Event

This market refers to the tennis match between Alexander Petrov and Samuel Garcia Hernandez in the M15 Pontevedra, Qualifying, originally scheduled for October 4, 2026 at 5:00AM ET. This market will resolve to 'Alexander Petrov' if Alexander Petrov advances against Samuel Garcia Hernandez. This market will resolve to 'Samuel Garcia Hernandez' if Samuel Garcia Hernandez advances against Alexander Petrov. If the match is canceled (not played at all), ends in a tie, or a winner has not been dete

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:** M15 Pontevedra: Alexander Petrov vs Samuel Garcia Hernandez
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 11, 2026 (0 days left)
**Time Pressure:** Critical

**Description:** This market refers to the tennis match between Alexander Petrov and Samuel Garcia Hernandez in the M15 Pontevedra, Qualifying, originally scheduled for October 4, 2026 at 5:00AM ET.

This market will resolve to 'Alexander Petrov' if Alexander Petrov advances against Samuel Garcia Hernandez.

This market will resolve to 'Samuel Garcia Hernandez' if Samuel Garcia Hernandez advances against Alexander Petrov.

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

**Resolution Criteria (Sample):**
"This market refers to the tennis match between Alexander Petrov and Samuel Garcia Hernandez in the M15 Pontevedra, Qualifying, originally scheduled for October 4, 2026 at 5:00AM ET. This market will resolve to "Yes" if all games and sets required to determine a match winner under governing body or e"

## 2. Market liquidity & Volume
* **Total Volume:** $936
* **Total Liquidity:** $3.3K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.29)

## 3. Market Data (Prices & Odds)
### 1. M15 Pontevedra, Qualifying: Completed Match: Alexander Petrov vs Samuel Garcia Hernandez
- **Polymarket** (End: Oct 11, 2026): Vol $936
  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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Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.

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