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

GroupPOLYMARKET

Event GroupPOLYMARKETSports

W50 Heraklion: Lara Schmidt vs Raluca Georgiana Serban

Name: W50 Heraklion: Lara Schmidt vs Raluca Georgiana Serban
End: 2026-10-14T08:30:00.000Z

Total Volume

$2.01K

Events

Markets

Trade on Polymarket

W50 Heraklion: Lara Schmidt vs Raluca Georgiana Serban

Vol

$2.01K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $2.01K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $2.01K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

2 markets tracked

Set Handicap: Raluca Georgiana Serban (-1.5) vs Lara Schmidt (+1.5)

No data available

Single-Platform Markets(2)

Market	Platform	Price
Set Handicap: Raluca Georgiana Serban (-1.5) vs Lara Schmidt (+1.5)	Poly	50%
W50 Heraklion: Lara Schmidt vs Raluca Georgiana Serban	Poly	1%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

50%

Top Probability

$2.01K

Volume

Markets

Platforms

About This Event

This market refers to the tennis match between Lara Schmidt and Raluca Georgiana Serban in the W50 Heraklion, Main Draw, originally scheduled for October 7, 2026 at 4:30AM ET. This market will resolve to 'Lara Schmidt' if Lara Schmidt advances against Raluca Georgiana Serban. This market will resolve to 'Raluca Georgiana Serban' if Raluca Georgiana Serban advances against Lara Schmidt. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October

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:** W50 Heraklion: Lara Schmidt vs Raluca Georgiana Serban
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 14, 2026 (3 days left)
**Time Pressure:** High

**Description:** This market refers to the tennis match between Lara Schmidt and Raluca Georgiana Serban in the W50 Heraklion, Main Draw, originally scheduled for October 7, 2026 at 4:30AM ET.

This market will resolve to 'Lara Schmidt' if Lara Schmidt advances against Raluca Georgiana Serban.

This market will resolve to 'Raluca Georgiana Serban' if Raluca Georgiana Serban advances against Lara Schmidt.

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

**Resolution Criteria (Sample):**
"This market refers to the tennis match between Lara Schmidt and Raluca Georgiana Serban in the W50 Heraklion, Main Draw, originally scheduled for October 7, 2026 at 4:30AM ET.

This market will resolve to 'Lara Schmidt' if Lara Schmidt advances against Raluca Georgiana Serban.

This market will reso"

## 2. Market liquidity & Volume
* **Total Volume:** $2.0K
* **Total Liquidity:** $2.1K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.94)

## 3. Market Data (Prices & Odds)
### 1. W50 Heraklion: Lara Schmidt vs Raluca Georgiana Serban
- **Polymarket** (End: Oct 14, 2026): Vol $2.0K
  DATA: [Lara Schmidt: 0.5% (0.0%)] | [Raluca Georgiana Serban: 99.5% (0.0%)]

### 2. Set Handicap: Raluca Georgiana Serban (-1.5) vs Lara Schmidt (+1.5)
- **Polymarket** (End: Oct 14, 2026): Vol $0
  DATA: [Raluca Georgiana Serban: 50.0% (0.0%)] | [Lara Schmidt: 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.

POLYMARKETSports