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GroupPOLYMARKET

Event GroupPOLYMARKETSports

Ligue 1: Goalkeeper Clean Sheets

Name: Ligue 1: Goalkeeper Clean Sheets
End: 2026-05-31T00:00:00.000Z

Total Volume

$9.68K

Events

Markets

Trade on Polymarket

Ligue 1: Goalkeeper Clean Sheets

Vol

$9.68K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $9.68K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $9.68K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

8 markets tracked

Will Berke Özer be the goalie with the most clean sheets during the 2025-26 Ligue 1 season?

No data available

Single-Platform Markets(8)

Market	Platform	Price
Will Berke Özer be the goalie with the most clean sheets during the 2025-26 Ligue 1 season?	Poly	53%
Will Mike Penders be the goalie with the most clean sheets during the 2025-26 Ligue 1 season?	Poly	50%
Will Guillaume Restes be the goalie with the most clean sheets during the 2025-26 Ligue 1 season?	Poly	49%
Will Dominik Greif be the goalie with the most clean sheets during the 2025-26 Ligue 1 season?	Poly	48%
Will Lucas Chevalier be the goalie with the most clean sheets during the 2025-26 Ligue 1 season?	Poly	48%
Will Hervé Koffi be the goalie with the most clean sheets during the 2025-26 Ligue 1 season?	Poly	47%
Will Robin Risser be the goalie with the most clean sheets during the 2025-26 Ligue 1 season?	Poly	47%
Will Brice Samba be the goalie with the most clean sheets during the 2025-26 Ligue 1 season?	Poly	47%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

53%

Top Probability

$9.68K

Volume

Markets

Platforms

About This Event

This market will resolve according to the player with the most clean sheets in the 2025-2026 Ligue 1 season. Only clean sheets recorded in Ligue 1 matches will count. Clean sheets in other competitions (e.g., Coupe de France, Trophée des Champions, Champions League, Europa League, international matches) will not count for this market. If multiple players tie for the most clean sheets, the market will resolve to the player whose listed last name comes first alphabetically. If the 2025-26 Ligue

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:** Friday, July 10, 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:** Ligue 1: Goalkeeper Clean Sheets
**Category:** Sports | **Status:** active
**Resolution Date:** May 31, 2026 (Ended)
**Time Pressure:** Expired

**Description:** This market will resolve according to the player with the most clean sheets in the 2025-2026 Ligue 1 season.

Only clean sheets recorded in Ligue 1 matches will count. Clean sheets in other competitions (e.g., Coupe de France, Trophée des Champions, Champions League, Europa League, international matches) will not count for this market.

If multiple players tie for the most clean sheets, the market will resolve to the player whose listed last name comes first alphabetically.

If the 2025-26 Ligue

**Resolution Criteria (Sample):**
"This market will resolve according to the player with the most clean sheets in the 2025-2026 Ligue 1 season.

Only clean sheets recorded in Ligue 1 matches will count. Clean sheets in other competitions (e.g., Coupe de France, Trophée des Champions, Champions League, Europa League, international mat"

## 2. Market liquidity & Volume
* **Total Volume:** $94
* **Total Liquidity:** $56
* **Activity Level:** Stable (Vol/Liq Ratio: 1.69)

## 3. Market Data (Prices & Odds)
### 1. Will Robin Risser be the goalie with the most clean sheets during the 2025-26 Ligue 1 season?
- **Polymarket** (End: May 31, 2026): Vol $6
  DATA: [Yes: 46.5% (0.0%)] | [No: 53.5% (0.0%)]

### 2. Will Brice Samba be the goalie with the most clean sheets during the 2025-26 Ligue 1 season?
- **Polymarket** (End: May 31, 2026): Vol $1
  DATA: [Yes: 46.5% (0.0%)] | [No: 53.5% (0.0%)]

### 3. Will Berke Özer be the goalie with the most clean sheets during the 2025-26 Ligue 1 season?
- **Polymarket** (End: May 31, 2026): Vol $71
  DATA: [Yes: 53.0% (0.0%)] | [No: 47.0% (0.0%)]

### 4. Will Lucas Chevalier be the goalie with the most clean sheets during the 2025-26 Ligue 1 season?
- **Polymarket** (End: May 31, 2026): Vol $12
  DATA: [Yes: 47.5% (0.0%)] | [No: 52.5% (0.0%)]

### 5. Will Mike Penders be the goalie with the most clean sheets during the 2025-26 Ligue 1 season?
- **Polymarket** (End: May 31, 2026): Vol $1
  DATA: [Yes: 49.5% (0.0%)] | [No: 50.5% (0.0%)]

### 6. Will Dominik Greif be the goalie with the most clean sheets during the 2025-26 Ligue 1 season?
- **Polymarket** (End: May 31, 2026): Vol $1
  DATA: [Yes: 48.0% (0.0%)] | [No: 52.0% (0.0%)]

### 7. Will Hervé Koffi be the goalie with the most clean sheets during the 2025-26 Ligue 1 season?
- **Polymarket** (End: May 31, 2026): Vol $1
  DATA: [Yes: 47.0% (0.0%)] | [No: 53.0% (0.0%)]

### 8. Will Guillaume Restes be the goalie with the most clean sheets during the 2025-26 Ligue 1 season?
- **Polymarket** (End: May 31, 2026): Vol $1
  DATA: [Yes: 49.3% (0.0%)] | [No: 50.7% (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.

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