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

GroupPOLYMARKET

Event GroupPOLYMARKETSports

FC Südtirol vs. UC Sampdoria - First Team to Score

Name: FC Südtirol vs. UC Sampdoria - First Team to Score
End: 2026-10-24T13:00:00.000Z

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FC Südtirol vs. UC Sampdoria - First Team to Score

Vol

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Price Spread

0.0%avg

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Arbitrage

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Price ChartMatched Markets Price Graph

3 markets tracked

FC Südtirol to score first vs. UC Sampdoria?

No data available

Single-Platform Markets(3)

Market	Platform	Price
FC Südtirol to score first vs. UC Sampdoria?	Poly	49%
UC Sampdoria to score first vs. FC Südtirol?	Poly	49%
FC Südtirol vs. UC Sampdoria: Neither team to score first?	Poly	49%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

49%

Top Probability

$0.00

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About This Event

In the upcoming match between FC Südtirol and UC Sampdoria, scheduled for October 24, 2026 at 9:00 AM ET: This market will resolve to "FC Südtirol" if FC Südtirol are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "UC Sampdoria" if UC Sampdoria 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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**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%).

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## 1. Event Snapshot
**Event:** FC Südtirol vs. UC Sampdoria - First Team to Score
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 24, 2026 (13 days left)
**Time Pressure:** Medium

**Description:** In the upcoming match between FC Südtirol and UC Sampdoria, scheduled for October 24, 2026 at 9:00 AM ET: This market will resolve to "FC Südtirol" if FC Südtirol are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "UC Sampdoria" if UC Sampdoria 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 FC Südtirol and UC Sampdoria, scheduled for October 24, 2026 at 9:00 AM ET: This market will resolve to "FC Südtirol" if FC Südtirol are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "UC Sampdoria" if UC S"

## 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. FC Südtirol to score first vs. UC Sampdoria?
- **Polymarket** (End: Oct 24, 2026): Vol $0
  DATA: [Yes: 49.0% (0.0%)] | [No: 51.0% (0.0%)]

### 2. UC Sampdoria to score first vs. FC Südtirol?
- **Polymarket** (End: Oct 24, 2026): Vol $0
  DATA: [Yes: 49.0% (0.0%)] | [No: 51.0% (0.0%)]

### 3. FC Südtirol vs. UC Sampdoria: Neither team to score first?
- **Polymarket** (End: Oct 24, 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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Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.

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