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

GroupPOLYMARKET

Event GroupPOLYMARKETSports

W15 Campulung: Simona Cucu vs Angelina Maria Irene Pavel

Name: W15 Campulung: Simona Cucu vs Angelina Maria Irene Pavel
End: 2026-09-13T06:30:00.000Z

Total Volume

$2.73K

Events

Markets

Trade on Polymarket

W15 Campulung: Simona Cucu vs Angelina Maria Irene Pavel

Vol

$2.73K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $2.73K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $2.73K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

W15 Campulung, Qualifying: Completed Match: Simona Cucu vs Angelina Maria Irene Pavel

No data available

Single-Platform Markets(1)

Market	Platform	Price
W15 Campulung, Qualifying: Completed Match: Simona Cucu vs Angelina Maria Irene Pavel	Poly	50%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

50%

Top Probability

$2.73K

Volume

Markets

Platforms

About This Event

This market refers to the tennis match between Simona Cucu and Angelina Maria Irene Pavel in the W15 Campulung, Qualifying, originally scheduled for September 6, 2026 at 2:30AM ET. This market will resolve to 'Simona Cucu' if Simona Cucu advances against Angelina Maria Irene Pavel. This market will resolve to 'Angelina Maria Irene Pavel' if Angelina Maria Irene Pavel advances against Simona Cucu. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined

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:** W15 Campulung: Simona Cucu vs Angelina Maria Irene Pavel
**Category:** Sports | **Status:** active
**Resolution Date:** Sep 13, 2026 (Ended)
**Time Pressure:** Expired

**Description:** This market refers to the tennis match between Simona Cucu and Angelina Maria Irene Pavel in the W15 Campulung, Qualifying, originally scheduled for September 6, 2026 at 2:30AM ET.

This market will resolve to 'Simona Cucu' if Simona Cucu advances against Angelina Maria Irene Pavel.

This market will resolve to 'Angelina Maria Irene Pavel' if Angelina Maria Irene Pavel advances against Simona Cucu.

If the match is canceled (not played at all), ends in a tie, or a winner has not been determined 

**Resolution Criteria (Sample):**
"This market refers to the tennis match between Simona Cucu and Angelina Maria Irene Pavel in the W15 Campulung, Qualifying, originally scheduled for September 6, 2026 at 2:30AM ET. This market will resolve to "Yes" if all games and sets required to determine a match winner under governing body or ev"

## 2. Market liquidity & Volume
* **Total Volume:** $2.7K
* **Total Liquidity:** $0
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. W15 Campulung, Qualifying: Completed Match: Simona Cucu vs Angelina Maria Irene Pavel
- **Polymarket** (End: Sep 13, 2026): Vol $2.7K
  DATA: [Yes: 50.0% (0.0%)] | [No: 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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