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GroupPOLYMARKET

Event GroupPOLYMARKETSports

UEFA Europa League: Most Clean Sheets (GK)

Name: UEFA Europa League: Most Clean Sheets (GK)
End: 2026-05-21T00:00:00.000Z

Total Volume

$1.27K

Events

Markets

Trade on Polymarket

UEFA Europa League: Most Clean Sheets (GK)

Vol

$1.27K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $1.27K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $1.27K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

2 markets tracked

Will Noah Atubolu record the most clean sheets in 2025-26 UEFA Europa League?

No data available

Single-Platform Markets(2)

Market	Platform	Price
Will Noah Atubolu record the most clean sheets in 2025-26 UEFA Europa League?	Poly	50%
Will Lukas Horníček record the most clean sheets in 2025-26 UEFA Europa League?	Poly	49%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

50%

Top Probability

$1.27K

Volume

Markets

Platforms

About This Event

This market will resolve to the goalkeeper who records the clean sheets through all main tournament rounds of the 2025-26 UEFA Europa League competition. In the event of a tie, this market will resolve according to the official leader as determined by UEFA Europa League rules. If multiple leaders are announced then this market will resolve to the player whose listed last name comes first alphabetically. If the 2025-26 Europa League competition is cancelled, postponed after June 31, 2026, 11:59

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:** Wednesday, July 15, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** UEFA Europa League: Most Clean Sheets (GK)
**Category:** Sports | **Status:** active
**Resolution Date:** May 21, 2026 (Ended)
**Time Pressure:** Expired

**Description:** This market will resolve to the goalkeeper who records the clean sheets through all main tournament rounds of the 2025-26 UEFA Europa League competition.

In the event of a tie, this market will resolve according to the official leader as determined by UEFA Europa League rules. If multiple leaders are announced then this market will resolve to the player whose listed last name comes first alphabetically.

If the 2025-26 Europa League competition is cancelled, postponed after June 31, 2026, 11:59

**Resolution Criteria (Sample):**
"This market will resolve to the goalkeeper who records the clean sheets through all main tournament rounds of the 2025-26 UEFA Europa League competition.

In the event of a tie, this market will resolve according to the official leader as determined by UEFA Europa League rules. If multiple leaders a"

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $7
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Will Lukas Horníček record the most clean sheets in 2025-26 UEFA Europa League?
- **Polymarket** (End: May 21, 2026): Vol $0
  DATA: [Yes: 48.5% (0.0%)] | [No: 51.5% (0.0%)]

### 2. Will Noah Atubolu record the most clean sheets in 2025-26 UEFA Europa League?
- **Polymarket** (End: May 21, 2026): Vol $0
  DATA: [Yes: 49.5% (0.0%)] | [No: 50.5% (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