Market snapshot: Oct 12, 2026, 12:00 AM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Kolman Leon vs. Merkl Roman

Name: Kolman Leon vs. Merkl Roman
End: 2026-10-04T20:00:00.000Z

Total Volume

$0.00

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Kolman Leon vs. Merkl Roman

Vol

$0.00

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Polymarket

markets · $0.00

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Price ChartMatched Markets Price Graph

1 market tracked

Kolman Leon vs. Merkl Roman

No data available

Single-Platform Markets(1)

Market	Platform	Price
Kolman Leon vs. Merkl Roman	Poly	50%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

50%

Top Probability

$0.00

Volume

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About This Event

This market refers to the table tennis match between Kolman Leon and Merkl Roman in Setka Cup Czechia Men, scheduled for September 27 at 4:00PM ET. This market will resolve to 'Kolman Leon' if Kolman Leon wins against Merkl Roman. This market will resolve to 'Merkl Roman' if Merkl Roman wins against Kolman Leon. 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 th

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%).

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## 1. Event Snapshot
**Event:** Kolman Leon vs. Merkl Roman
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 4, 2026 (Ended)
**Time Pressure:** Expired

**Description:** This market refers to the table tennis match between Kolman Leon and Merkl Roman in Setka Cup Czechia Men, scheduled for September 27 at 4:00PM ET.

This market will resolve to 'Kolman Leon' if Kolman Leon wins against Merkl Roman.

This market will resolve to 'Merkl Roman' if Merkl Roman wins against Kolman Leon.

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 th

**Resolution Criteria (Sample):**
"This market refers to the table tennis match between Kolman Leon and Merkl Roman in Setka Cup Czechia Men, scheduled for September 27 at 4:00PM ET.

This market will resolve to 'Kolman Leon' if Kolman Leon wins against Merkl Roman.

This market will resolve to 'Merkl Roman' if Merkl Roman wins again"

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

## 3. Market Data (Prices & Odds)
### 1. Kolman Leon vs. Merkl Roman
- **Polymarket** (End: Oct 4, 2026): Vol $0
  DATA: [Kolman Leon: 50.0% (0.0%)] | [Merkl Roman: 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.

POLYMARKETSports