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

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Olbia: Dimitar Kuzmanov vs Matyas Cerny

Name: Olbia: Dimitar Kuzmanov vs Matyas Cerny
End: 2026-10-19T08:00:00.000Z

Total Volume

$83.69

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Olbia: Dimitar Kuzmanov vs Matyas Cerny

Vol

$83.69

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $83.69

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $83.69

100%

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Price ChartMatched Markets Price Graph

2 markets tracked

Olbia: Dimitar Kuzmanov vs Matyas Cerny

No data available

Single-Platform Markets(2)

Market	Platform	Price
Olbia: Dimitar Kuzmanov vs Matyas Cerny	Poly	82%
Olbia, Italy, Qualifying: Completed Match: Dimitar Kuzmanov vs Matyas Cerny	Poly	51%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

82%

Top Probability

$83.69

Volume

Markets

Platforms

About This Event

This market refers to the tennis match between Dimitar Kuzmanov and Matyas Cerny in the Olbia, Italy, Qualifying, originally scheduled for October 12, 2026 at 4:00AM ET. This market will resolve to 'Dimitar Kuzmanov' if Dimitar Kuzmanov advances against Matyas Cerny. This market will resolve to 'Matyas Cerny' if Matyas Cerny advances against Dimitar Kuzmanov. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 26, 2026, 11:59 PM ET (14 d

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:** Olbia: Dimitar Kuzmanov vs Matyas Cerny
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 19, 2026 (8 days left)
**Time Pressure:** Medium

**Description:** This market refers to the tennis match between Dimitar Kuzmanov and Matyas Cerny in the Olbia, Italy, Qualifying, originally scheduled for October 12, 2026 at 4:00AM ET.

This market will resolve to 'Dimitar Kuzmanov' if Dimitar Kuzmanov advances against Matyas Cerny.

This market will resolve to 'Matyas Cerny' if Matyas Cerny advances against Dimitar Kuzmanov.

If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 26, 2026, 11:59 PM ET (14 d

**Resolution Criteria (Sample):**
"This market refers to the tennis match between Dimitar Kuzmanov and Matyas Cerny in the Olbia, Italy, Qualifying, originally scheduled for October 12, 2026 at 4:00AM ET.

This market will resolve to 'Dimitar Kuzmanov' if Dimitar Kuzmanov advances against Matyas Cerny.

This market will resolve to 'M"

## 2. Market liquidity & Volume
* **Total Volume:** $84
* **Total Liquidity:** $5.6K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.01)

## 3. Market Data (Prices & Odds)
### 1. Olbia: Dimitar Kuzmanov vs Matyas Cerny
- **Polymarket** (End: Oct 19, 2026): Vol $84
  DATA: [Dimitar Kuzmanov: 81.5% (0.0%)] | [Matyas Cerny: 18.5% (0.0%)]

### 2. Olbia, Italy, Qualifying: Completed Match: Dimitar Kuzmanov vs Matyas Cerny
- **Polymarket** (End: Oct 19, 2026): Vol $0
  DATA: [Yes: 50.5% (0.0%)] | [No: 49.5% (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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