Market snapshot: Oct 13, 2026, 12:00 AM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Hellas Verona FC vs. Pisa SC - First Team to Score

Name: Hellas Verona FC vs. Pisa SC - First Team to Score
End: 2026-10-25T16:15:00.000Z

Total Volume

$0.00

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Hellas Verona FC vs. Pisa SC - First Team to Score

Vol

$0.00

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Polymarket

markets · $0.00

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Price ChartMatched Markets Price Graph

3 markets tracked

Historical observations can differ from current quotes. Kalshi points are hourly trade averages.

Hellas Verona FC to score first vs. Pisa SC?

No data available

Single-Platform Markets(3)

Market	Platform	Price
Hellas Verona FC to score first vs. Pisa SC?	Poly	49%
Pisa SC to score first vs. Hellas Verona FC?	Poly	49%
Hellas Verona FC vs. Pisa SC: Neither team to score first?	Poly	49%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

49%

Top Probability

$0.00

Volume

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About This Event

In the upcoming match between Hellas Verona FC and Pisa SC, scheduled for October 25, 2026 at 12:15 PM ET: This market will resolve to "Hellas Verona FC" if Hellas Verona FC are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "Pisa SC" if Pisa SC are the first to score within the first 90 minutes of regular play plus stoppage time. If neither team scores within the first 90 minutes of regular play plus stoppage time, this market will

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:** Tuesday, October 13, 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:** Hellas Verona FC vs. Pisa SC - First Team to Score
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 25, 2026 (13 days left)
**Time Pressure:** Medium

**Description:** In the upcoming match between Hellas Verona FC and Pisa SC, scheduled for October 25, 2026 at 12:15 PM ET: This market will resolve to "Hellas Verona FC" if Hellas Verona FC are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "Pisa SC" if Pisa SC are the first to score within the first 90 minutes of regular play plus stoppage time. If neither team scores within the first 90 minutes of regular play plus stoppage time, this market will

**Resolution Criteria (Sample):**
"In the upcoming match between Hellas Verona FC and Pisa SC, scheduled for October 25, 2026 at 12:15 PM ET: This market will resolve to "Hellas Verona FC" if Hellas Verona FC are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "Pisa SC" i"

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $25
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Hellas Verona FC to score first vs. Pisa SC?
- **Polymarket** (End: Oct 25, 2026): Vol $0
  DATA: [Yes: 49.0% (0.0%)] | [No: 51.0% (0.0%)]

### 2. Pisa SC to score first vs. Hellas Verona FC?
- **Polymarket** (End: Oct 25, 2026): Vol $0
  DATA: [Yes: 49.0% (0.0%)] | [No: 51.0% (0.0%)]

### 3. Hellas Verona FC vs. Pisa SC: Neither team to score first?
- **Polymarket** (End: Oct 25, 2026): Vol $0
  DATA: [Yes: 49.0% (0.0%)] | [No: 51.0% (0.0%)]

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## 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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AI-written background. References identify the evidence used; Wikipedia links under Learn More are additional reading. Prices and provider rules are dated snapshots. This is not financial advice.

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