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GroupPOLYMARKET

Event GroupPOLYMARKETSports

UEFA Europa League: Most Red Cards

Name: UEFA Europa League: Most Red Cards
End: 2026-05-21T00:00:00.000Z

Total Volume

$76.34K

Events

Markets

Trade on Polymarket

UEFA Europa League: Most Red Cards

Vol

$76.34K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $76.34K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $76.34K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

3 markets tracked

Will Mohamed Diomande record the most red cards in 2025-26 UEFA Europa League?

No data available

Single-Platform Markets(3)

Market	Platform	Price
Will Mohamed Diomande record the most red cards in 2025-26 UEFA Europa League?	Poly	50%
Will Maximilian Eggestein record the most red cards in 2025-26 UEFA Europa League?	Poly	42%
Will Elliot Anderson record the most red cards in 2025-26 UEFA Europa League?	Poly	25%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

50%

Top Probability

$76.34K

Volume

Markets

Platforms

About This Event

This market will resolve to the player who records the most red cards through all main tournament rounds of the 2025-26 UEFA Europa League competition. For the purpose of this market, both direct red cards, or red cards that result from the accumulation of two yellow cards in the same match will be considered in the final count. 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

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 Red Cards
**Category:** Sports | **Status:** active
**Resolution Date:** May 21, 2026 (Ended)
**Time Pressure:** Expired

**Description:** This market will resolve to the player who records the most red cards through all main tournament rounds of the 2025-26 UEFA Europa League competition.

For the purpose of this market, both direct red cards, or red cards that result from the accumulation of two yellow cards in the same match will be considered in the final count.

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

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

For the purpose of this market, both direct red cards, or red cards that result from the accumulation of two yellow cards in the same match will be"

## 2. Market liquidity & Volume
* **Total Volume:** $49.1K
* **Total Liquidity:** $283
* **Activity Level:** Very High Turnover (Vol/Liq Ratio: 173.52)

## 3. Market Data (Prices & Odds)
### 1. Will Mohamed Diomande record the most red cards in 2025-26 UEFA Europa League?
- **Polymarket** (End: May 21, 2026): Vol $43.1K
  DATA: [Yes: 49.9% (0.0%)] | [No: 50.1% (0.0%)]

### 2. Will Elliot Anderson record the most red cards in 2025-26 UEFA Europa League?
- **Polymarket** (End: May 21, 2026): Vol $6.0K
  DATA: [Yes: 24.6% (0.0%)] | [No: 75.4% (0.0%)]

### 3. Will Maximilian Eggestein record the most red cards in 2025-26 UEFA Europa League?
- **Polymarket** (End: May 21, 2026): Vol $84
  DATA: [Yes: 41.9% (0.0%)] | [No: 58.1% (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