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

GroupPOLYMARKET

Event GroupPOLYMARKETSports

RU Saint-Gilloise vs. Real Sociedad de Fútbol - Second Half Result

Name: RU Saint-Gilloise vs. Real Sociedad de Fútbol - Second Half Result
End: 2026-10-15T16:45:00.000Z

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RU Saint-Gilloise vs. Real Sociedad de Fútbol - Second Half Result

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Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Price ChartMatched Markets Price Graph

3 markets tracked

RU Saint-Gilloise to win the second half?

No data available

Single-Platform Markets(3)

Market	Platform	Price
RU Saint-Gilloise to win the second half?	Poly	36%
RU Saint-Gilloise vs. Real Sociedad de Fútbol: Second half draw?	Poly	34%
Real Sociedad de Fútbol to win the second half?	Poly	30%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

36%

Top Probability

$0.00

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About This Event

In the upcoming UEFA Europa League game between RU Saint-Gilloise and Real Sociedad de Fútbol, scheduled for October 15, 2026 at 12:45 PM ET: This market will resolve to "RU Saint-Gilloise" if RU Saint-Gilloise score more goals than Real Sociedad de Fútbol in the second half of regular play plus second-half stoppage time. This market will resolve to "Draw" if RU Saint-Gilloise and Real Sociedad de Fútbol score the same number of goals in the second half of regular play plus second-half stoppage

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%).

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## 1. Event Snapshot
**Event:** RU Saint-Gilloise vs. Real Sociedad de Fútbol - Second Half Result
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 15, 2026 (4 days left)
**Time Pressure:** High

**Description:** In the upcoming UEFA Europa League game between RU Saint-Gilloise and Real Sociedad de Fútbol, scheduled for October 15, 2026 at 12:45 PM ET: This market will resolve to "RU Saint-Gilloise" if RU Saint-Gilloise score more goals than Real Sociedad de Fútbol in the second half of regular play plus second-half stoppage time. This market will resolve to "Draw" if RU Saint-Gilloise and Real Sociedad de Fútbol score the same number of goals in the second half of regular play plus second-half stoppage 

**Resolution Criteria (Sample):**
"In the upcoming UEFA Europa League game between RU Saint-Gilloise and Real Sociedad de Fútbol, scheduled for October 15, 2026 at 12:45 PM ET: This market will resolve to "RU Saint-Gilloise" if RU Saint-Gilloise score more goals than Real Sociedad de Fútbol in the second half of regular play plus sec"

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $6.7K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. RU Saint-Gilloise to win the second half?
- **Polymarket** (End: Oct 15, 2026): Vol $0
  DATA: [Yes: 35.5% (0.0%)] | [No: 64.5% (0.0%)]

### 2. RU Saint-Gilloise vs. Real Sociedad de Fútbol: Second half draw?
- **Polymarket** (End: Oct 15, 2026): Vol $0
  DATA: [Yes: 34.0% (0.0%)] | [No: 66.0% (0.0%)]

### 3. Real Sociedad de Fútbol to win the second half?
- **Polymarket** (End: Oct 15, 2026): Vol $0
  DATA: [Yes: 29.5% (0.0%)] | [No: 70.5% (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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