Market snapshot: Oct 13, 2026, 12:00 AM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Maltsev Denys vs. Pytsko Ivan

Name: Maltsev Denys vs. Pytsko Ivan
End: 2026-10-19T22:00:00.000Z

Total Volume

$0.00

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Maltsev Denys vs. Pytsko Ivan

Vol

$0.00

Events

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Platform StatsQuick Platform Comparison

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

Historical observations can differ from current quotes. Kalshi points are hourly trade averages.

Maltsev Denys vs. Pytsko Ivan

No data available

Single-Platform Markets(1)

Market	Platform	Price
Maltsev Denys vs. Pytsko Ivan	Poly	1%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

Top Probability

$0.00

Volume

Markets

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About This Event

This market refers to the table tennis match between Maltsev Denys and Pytsko Ivan in Setka Cup Ukraine Men, scheduled for October 12 at 6:00PM ET. This market will resolve to 'Maltsev Denys' if Maltsev Denys wins against Pytsko Ivan. This market will resolve to 'Pytsko Ivan' if Pytsko Ivan wins against Maltsev Denys. 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.

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:** Tuesday, October 13, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** Maltsev Denys vs. Pytsko Ivan
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 19, 2026 (7 days left)
**Time Pressure:** Medium

**Description:** This market refers to the table tennis match between Maltsev Denys and Pytsko Ivan in Setka Cup Ukraine Men, scheduled for October 12 at 6:00PM ET.

This market will resolve to 'Maltsev Denys' if Maltsev Denys wins against Pytsko Ivan.

This market will resolve to 'Pytsko Ivan' if Pytsko Ivan wins against Maltsev Denys.

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.


**Resolution Criteria (Sample):**
"This market refers to the table tennis match between Maltsev Denys and Pytsko Ivan in Setka Cup Ukraine Men, scheduled for October 12 at 6:00PM ET.

This market will resolve to 'Maltsev Denys' if Maltsev Denys wins against Pytsko Ivan.

This market will resolve to 'Pytsko Ivan' if Pytsko Ivan wins a"

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $312
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Maltsev Denys vs. Pytsko Ivan
- **Polymarket** (End: Oct 19, 2026): Vol $0
  DATA: [Maltsev Denys: 0.5% (0.0%)] | [Pytsko Ivan: 99.5% (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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AI-written background. References identify the evidence used; Wikipedia links under Learn More are additional reading. Prices and provider rules are dated snapshots. This is not financial advice.

POLYMARKETSports