Oeiras 3: Rebecca Sramkova vs Petra Marcinko | PredictPedia

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Event GroupPOLYMARKETSports

Oeiras 3: Rebecca Sramkova vs Petra Marcinko

Name: Oeiras 3: Rebecca Sramkova vs Petra Marcinko
End: 2026-04-24T09:00:00.000Z

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$0.00

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Oeiras 3: Rebecca Sramkova vs Petra Marcinko

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Kalshi

markets · $0.00

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0.0%avg

max 0.0%

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1 market tracked

Oeiras 3: Rebecca Sramkova vs Petra Marcinko

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Single-Platform Markets(1)

Market	Platform	Price
Oeiras 3: Rebecca Sramkova vs Petra Marcinko	Poly	52%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

52%

Top Probability

$0.00

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About This Event

This market refers to the tennis match between Rebecca Sramkova and Petra Marcinko in the Oeiras 3, originally scheduled for April 17, 2026 at 5:00AM ET. This market will resolve to 'Rebecca Sramkova' if Rebecca Sramkova advances against Petra Marcinko. This market will resolve to 'Petra Marcinko' if Petra Marcinko advances against Rebecca Sramkova. 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, thi

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:** Friday, April 17, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** Oeiras 3: Rebecca Sramkova vs Petra Marcinko
**Category:** Sports | **Status:** active
**Resolution Date:** Apr 24, 2026 (8 days left)
**Time Pressure:** Medium

**Description:** This market refers to the tennis match between Rebecca Sramkova and Petra Marcinko in the Oeiras 3, originally scheduled for April 17, 2026 at 5:00AM ET.

This market will resolve to 'Rebecca Sramkova' if Rebecca Sramkova advances against Petra Marcinko.

This market will resolve to 'Petra Marcinko' if Petra Marcinko advances against Rebecca Sramkova.

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, thi

**Resolution Criteria (Sample):**
"This market refers to the tennis match between Rebecca Sramkova and Petra Marcinko in the Oeiras 3, originally scheduled for April 17, 2026 at 5:00AM ET.

This market will resolve to 'Rebecca Sramkova' if Rebecca Sramkova advances against Petra Marcinko.

This market will resolve to 'Petra Marcinko'"

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $733
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Oeiras 3: Rebecca Sramkova vs Petra Marcinko
- **Polymarket** (End: Apr 24, 2026): Vol $0
  DATA: [Rebecca Sramkova: 51.5% (0.0%)] | [Petra Marcinko: 48.5% (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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Next Market Closes

7d 5h remaining

Apr 24, 2026 9:00 AM

Market Insights

Average Yes Price

52¢

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Oeiras 3: Rebecca Sramkova vs Petra Marcinko

Oeiras 3: Rebecca Sramkova vs Petra Marcinko

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Oeiras 3: Rebecca Sramkova vs Petra Marcinko

AI Analysis

About This Event

Custom AI Analysis Prompt

Educational Context

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