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

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Rodin Oleksii vs. Slozka Viktor

Name: Rodin Oleksii vs. Slozka Viktor
End: 2026-10-18T22:45:00.000Z

Total Volume

$0.00

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Rodin Oleksii vs. Slozka Viktor

Vol

$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

Rodin Oleksii vs. Slozka Viktor

No data available

Single-Platform Markets(1)

Market	Platform	Price
Rodin Oleksii vs. Slozka Viktor	Poly	10%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

10%

Top Probability

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About This Event

This market refers to the table tennis match between Rodin Oleksii and Slozka Viktor in Setka Cup Ukraine Men, scheduled for October 11 at 6:45PM ET. This market will resolve to 'Rodin Oleksii' if Rodin Oleksii wins against Slozka Viktor. This market will resolve to 'Slozka Viktor' if Slozka Viktor wins against Rodin Oleksii. 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

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:** Rodin Oleksii vs. Slozka Viktor
**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 Rodin Oleksii and Slozka Viktor in Setka Cup Ukraine Men, scheduled for October 11 at 6:45PM ET.

This market will resolve to 'Rodin Oleksii' if Rodin Oleksii wins against Slozka Viktor.

This market will resolve to 'Slozka Viktor' if Slozka Viktor wins against Rodin Oleksii.

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

**Resolution Criteria (Sample):**
"This market refers to the table tennis match between Rodin Oleksii and Slozka Viktor in Setka Cup Ukraine Men, scheduled for October 11 at 6:45PM ET.

This market will resolve to 'Rodin Oleksii' if Rodin Oleksii wins against Slozka Viktor.

This market will resolve to 'Slozka Viktor' if Slozka Vikto"

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $53
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Rodin Oleksii vs. Slozka Viktor
- **Polymarket** (End: Oct 18, 2026): Vol $0
  DATA: [Rodin Oleksii: 9.5% (0.0%)] | [Slozka Viktor: 90.5% (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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