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

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Tuma Ladislav vs. Farsky Karel

Name: Tuma Ladislav vs. Farsky Karel
End: 2026-10-18T19:45:00.000Z

Total Volume

$0.00

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Tuma Ladislav vs. Farsky Karel

Vol

$0.00

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markets · $0.00

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Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Price ChartMatched Markets Price Graph

1 market tracked

Tuma Ladislav vs. Farsky Karel

No data available

Single-Platform Markets(1)

Market	Platform	Price
Tuma Ladislav vs. Farsky Karel	Poly	48%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

48%

Top Probability

$0.00

Volume

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About This Event

This market refers to the table tennis match between Tuma Ladislav and Farsky Karel in Setka Cup Czechia Men, scheduled for October 11 at 3:45PM ET. This market will resolve to 'Tuma Ladislav' if Tuma Ladislav wins against Farsky Karel. This market will resolve to 'Farsky Karel' if Farsky Karel wins against Tuma Ladislav. If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the scheduled date without a winner determined, this market will resolve to 50-

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:** Tuma Ladislav vs. Farsky Karel
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 18, 2026 (7 days left)
**Time Pressure:** Medium

**Description:** This market refers to the table tennis match between Tuma Ladislav and Farsky Karel in Setka Cup Czechia Men, scheduled for October 11 at 3:45PM ET.

This market will resolve to 'Tuma Ladislav' if Tuma Ladislav wins against Farsky Karel.

This market will resolve to 'Farsky Karel' if Farsky Karel wins against Tuma Ladislav.

If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the scheduled date without a winner determined, this market will resolve to 50-

**Resolution Criteria (Sample):**
"This market refers to the table tennis match between Tuma Ladislav and Farsky Karel in Setka Cup Czechia Men, scheduled for October 11 at 3:45PM ET.

This market will resolve to 'Tuma Ladislav' if Tuma Ladislav wins against Farsky Karel.

This market will resolve to 'Farsky Karel' if Farsky Karel wi"

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $30
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Tuma Ladislav vs. Farsky Karel
- **Polymarket** (End: Oct 18, 2026): Vol $0
  DATA: [Tuma Ladislav: 47.5% (0.0%)] | [Farsky Karel: 52.5% (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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