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GroupPOLYMARKET

Event GroupPOLYMARKETSports

UEFA Europa Conference League: Most Red Cards

Name: UEFA Europa Conference League: Most Red Cards
End: 2026-05-28T00:00:00.000Z

Total Volume

$6.99K

Events

Markets

Trade on Polymarket

UEFA Europa Conference League: Most Red Cards

Vol

$6.99K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $6.99K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $6.99K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

3 markets tracked

Will Borna Sosa record the most red cards in the 2025-26 UEFA Europa Conference League?

No data available

Single-Platform Markets(3)

Market	Platform	Price
Will Borna Sosa record the most red cards in the 2025-26 UEFA Europa Conference League?	Poly	50%
Will Pep Chavarría record the most red cards in the 2025-26 UEFA Europa Conference League?	Poly	50%
Will Joseph Mbong record the most red cards in the 2025-26 UEFA Europa Conference League?	Poly	50%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

50%

Top Probability

$6.99K

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 Conference 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 Conference League rules. If multiple leaders a

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:** Friday, July 17, 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:** UEFA Europa Conference League: Most Red Cards
**Category:** Sports | **Status:** active
**Resolution Date:** May 28, 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 Conference 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 Conference League rules. If multiple leaders a

**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 Conference 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 ma"

## 2. Market liquidity & Volume
* **Total Volume:** $2.9K
* **Total Liquidity:** $11
* **Activity Level:** Very High Turnover (Vol/Liq Ratio: 276.37)

## 3. Market Data (Prices & Odds)
### 1. Will Borna Sosa record the most red cards in the 2025-26 UEFA Europa Conference League?
- **Polymarket** (End: May 28, 2026): Vol $2.9K
  DATA: [Yes: 49.6% (0.0%)] | [No: 50.3% (0.0%)]

### 2. Will Pep Chavarría record the most red cards in the 2025-26 UEFA Europa Conference League?
- **Polymarket** (End: May 28, 2026): Vol $0
  DATA: [Yes: 49.5% (0.0%)] | [No: 50.5% (0.0%)]

### 3. Will Joseph Mbong record the most red cards in the 2025-26 UEFA Europa Conference League? 
- **Polymarket** (End: May 28, 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