Market snapshot: Oct 12, 2026, 3:00 AM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Olimpia Milano vs. Real Madrid

Name: Olimpia Milano vs. Real Madrid
End: 2026-10-13T18:30:00.000Z

Total Volume

$24.68

Events

Markets

Trade on Polymarket

Olimpia Milano vs. Real Madrid

Vol

$24.68

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $24.68

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $24.68

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

Olimpia Milano vs. Real Madrid

No data available

Single-Platform Markets(1)

Market	Platform	Price
Olimpia Milano vs. Real Madrid	Poly	34%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

34%

Top Probability

$24.68

Volume

Markets

Platforms

About This Event

In the upcoming Euroleague basketball game, scheduled for October 13 at 2:30PM ET: If the Olimpia Milano win, the market will resolve to "Olimpia Milano". If the Real Madrid win, the market will resolve to "Real Madrid". If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.

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:** Olimpia Milano vs. Real Madrid
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 13, 2026 (2 days left)
**Time Pressure:** Critical

**Description:** In the upcoming Euroleague basketball game, scheduled for October 13 at 2:30PM ET:
If the Olimpia Milano win, the market will resolve to "Olimpia Milano".
If the Real Madrid win, the market will resolve to "Real Madrid".
If the game is postponed, this market will remain open until the game has been completed.
If the game is canceled entirely, with no make-up game, this market will resolve 50-50.

**Resolution Criteria (Sample):**
"In the upcoming Euroleague basketball game, scheduled for October 13 at 2:30PM ET:
If the Olimpia Milano win, the market will resolve to "Olimpia Milano".
If the Real Madrid win, the market will resolve to "Real Madrid".
If the game is postponed, this market will remain open until the game has been "

## 2. Market liquidity & Volume
* **Total Volume:** $25
* **Total Liquidity:** $7.6K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Olimpia Milano vs. Real Madrid
- **Polymarket** (End: Oct 13, 2026): Vol $25
  DATA: [Olimpia Milano: 33.5% (0.0%)] | [Real Madrid: 66.5% (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