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

GroupPOLYMARKET

Event GroupPOLYMARKETSports

W35 Santa Margherita di Pula: Galatea Ferro vs Eleonora Alvisi

Name: W35 Santa Margherita di Pula: Galatea Ferro vs Eleonora Alvisi
End: 2026-10-12T10:00:00.000Z

Total Volume

$211.10

Events

Markets

Trade on Polymarket

W35 Santa Margherita di Pula: Galatea Ferro vs Eleonora Alvisi

Vol

$211.10

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $211.10

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $211.10

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

Ferro vs. Alvisi: Match Over/Under 23.5

No data available

Single-Platform Markets(1)

Market	Platform	Price
Ferro vs. Alvisi: Match Over/Under 23.5	Poly	50%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

50%

Top Probability

$211.10

Volume

Markets

Platforms

About This Event

This market refers to the tennis match between Galatea Ferro and Eleonora Alvisi in the W35 Santa Margherita di Pula, Qualifying, originally scheduled for October 5, 2026 at 6:00AM ET. This market will resolve to 'Galatea Ferro' if Galatea Ferro advances against Eleonora Alvisi. This market will resolve to 'Eleonora Alvisi' if Eleonora Alvisi advances against Galatea Ferro. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 19, 2026, 11

AI-generated analysis based on market data. Not financial advice.

Custom AI Analysis Prompt

Tap to expand

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:** W35 Santa Margherita di Pula: Galatea Ferro vs Eleonora Alvisi
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 12, 2026 (1 days left)
**Time Pressure:** Critical

**Description:** This market refers to the tennis match between Galatea Ferro and Eleonora Alvisi in the W35 Santa Margherita di Pula, Qualifying, originally scheduled for October 5, 2026 at 6:00AM ET.

This market will resolve to 'Galatea Ferro' if Galatea Ferro advances against Eleonora Alvisi.

This market will resolve to 'Eleonora Alvisi' if Eleonora Alvisi advances against Galatea Ferro.

If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 19, 2026, 11

**Resolution Criteria (Sample):**
"This market refers to the tennis match between Galatea Ferro and Eleonora Alvisi in the W35 Santa Margherita di Pula, originally scheduled for October 5, 2026 at 6:00AM ET.
This market will resolve to "Over" if the total number of games completed equals or exceeds 24. Otherwise, it will resolve to ""

## 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. Ferro vs. Alvisi: Match Over/Under 23.5
- **Polymarket** (End: Oct 12, 2026): Vol $0
  DATA: [Over: 50.0% (0.0%)] | [Under: 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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