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

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Derevynskyi Dmytro vs. Lobas Valentyn

Name: Derevynskyi Dmytro vs. Lobas Valentyn
End: 2026-09-18T22:05:00.000Z

Total Volume

$0.00

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Derevynskyi Dmytro vs. Lobas Valentyn

Vol

$0.00

Events

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Polymarket

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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

Derevynskyi Dmytro vs. Lobas Valentyn

No data available

Single-Platform Markets(1)

Market	Platform	Price
Derevynskyi Dmytro vs. Lobas Valentyn	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 Derevynskyi Dmytro and Lobas Valentyn in Setka Cup Ukraine Men, scheduled for September 11 at 6:05PM ET. This market will resolve to 'Derevynskyi Dmytro' if Derevynskyi Dmytro wins against Lobas Valentyn. This market will resolve to 'Lobas Valentyn' if Lobas Valentyn wins against Derevynskyi Dmytro. 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, t

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:** Derevynskyi Dmytro vs. Lobas Valentyn
**Category:** Sports | **Status:** active
**Resolution Date:** Sep 18, 2026 (Ended)
**Time Pressure:** Expired

**Description:** This market refers to the table tennis match between Derevynskyi Dmytro and Lobas Valentyn in Setka Cup Ukraine Men, scheduled for September 11 at 6:05PM ET.

This market will resolve to 'Derevynskyi Dmytro' if Derevynskyi Dmytro wins against Lobas Valentyn.

This market will resolve to 'Lobas Valentyn' if Lobas Valentyn wins against Derevynskyi Dmytro.

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, t

**Resolution Criteria (Sample):**
"This market refers to the table tennis match between Derevynskyi Dmytro and Lobas Valentyn in Setka Cup Ukraine Men, scheduled for September 11 at 6:05PM ET.

This market will resolve to 'Derevynskyi Dmytro' if Derevynskyi Dmytro wins against Lobas Valentyn.

This market will resolve to 'Lobas Valen"

## 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. Derevynskyi Dmytro vs. Lobas Valentyn
- **Polymarket** (End: Sep 18, 2026): Vol $0
  DATA: [Derevynskyi Dmytro: 50.0% (0.0%)] | [Lobas Valentyn: 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.

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