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

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Farsky Karel vs. Botka Jan

Name: Farsky Karel vs. Botka Jan
End: 2026-10-18T21:00:00.000Z

Total Volume

$0.00

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Farsky Karel vs. Botka Jan

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$0.00

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Price Spread

0.0%avg

max 0.0%

Arbitrage

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Price ChartMatched Markets Price Graph

1 market tracked

Farsky Karel vs. Botka Jan

No data available

Single-Platform Markets(1)

Market	Platform	Price
Farsky Karel vs. Botka Jan	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 Farsky Karel and Botka Jan in Setka Cup Czechia Men, scheduled for October 11 at 5:00PM ET. This market will resolve to 'Farsky Karel' if Farsky Karel wins against Botka Jan. This market will resolve to 'Botka Jan' if Botka Jan wins against Farsky Karel. 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 50-50. If the matc

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:** Farsky Karel vs. Botka Jan
**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 Farsky Karel and Botka Jan in Setka Cup Czechia Men, scheduled for October 11 at 5:00PM ET.

This market will resolve to 'Farsky Karel' if Farsky Karel wins against Botka Jan.

This market will resolve to 'Botka Jan' if Botka Jan wins against Farsky Karel.

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 50-50.

If the matc

**Resolution Criteria (Sample):**
"This market refers to the table tennis match between Farsky Karel and Botka Jan in Setka Cup Czechia Men, scheduled for October 11 at 5:00PM ET.

This market will resolve to 'Farsky Karel' if Farsky Karel wins against Botka Jan.

This market will resolve to 'Botka Jan' if Botka Jan wins against Fars"

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $76
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

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