GroupPOLYMARKET

Event GroupPOLYMARKETSports

Ligue 1: Most Clean Sheets 2026-27

Name: Ligue 1: Most Clean Sheets 2026-27
End: 2027-05-31T23:59:00.000Z

Total Volume

$243.30

Events

Markets

Trade on Polymarket

Ligue 1: Most Clean Sheets 2026-27

Vol

$243.30

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $243.30

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $243.30

100%

Polymarket leads

Price ChartMatched Markets Price Graph

14 markets tracked

Will Matvey Safonov (PSG) record the most clean sheets in the 2026-27 Ligue 1 season?

No data available

Single-Platform Markets(14)

Market	Platform	Price
Will Matvey Safonov (PSG) record the most clean sheets in the 2026-27 Ligue 1 season?	Poly	36%
Will Robin Risser (Lens) record the most clean sheets in the 2026-27 Ligue 1 season?	Poly	27%
Will Lucas Chevalier (PSG) record the most clean sheets in the 2026-27 Ligue 1 season?	Poly	27%
Will Yvon Mvogo (Lorient) record the most clean sheets in the 2026-27 Ligue 1 season?	Poly	27%
Will Geronimo Rulli (Marseille) record the most clean sheets in the 2026-27 Ligue 1 season?	Poly	25%
Will Dominik Greif (Lyon) record the most clean sheets in the 2026-27 Ligue 1 season?	Poly	25%
Will Kevin Trapp (Paris FC) record the most clean sheets in the 2026-27 Ligue 1 season?	Poly	25%
Will Guillaume Restes (Toulouse) record the most clean sheets in the 2026-27 Ligue 1 season?	Poly	24%
Will Filip Jørgensen (Strasbourg) record the most clean sheets in the 2026-27 Ligue 1 season?	Poly	24%
Will Marcin Bułka (Nice) record the most clean sheets in the 2026-27 Ligue 1 season?	Poly	24%
Will Philipp Köhn (Monaco) record the most clean sheets in the 2026-27 Ligue 1 season?	Poly	24%
Will Brice Samba (Rennes) record the most clean sheets in the 2026-27 Ligue 1 season?	Poly	24%
Will Marco Bizot (Brest) record the most clean sheets in the 2026-27 Ligue 1 season?	Poly	23%
Will Paul Bernardoni (Angers) record the most clean sheets in the 2026-27 Ligue 1 season?	Poly	2%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

36%

Top Probability

$243.30

Volume

Markets

Platforms

About This Event

This market will resolve to the goalkeeper who records the most clean sheets during the 2026-27 Ligue 1 season. Only clean sheets recorded in Ligue 1 matches will count. Clean sheets in other competitions (e.g., domestic cups, UEFA Champions League, UEFA Europa League, UEFA Conference League, international matches) will not count for this market. In the event of a tie, this market will resolve according to the official leader as determined by Ligue 1. If multiple leaders are announced then thi

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:** Saturday, September 5, 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: Most Clean Sheets 2026-27
**Category:** Sports | **Status:** active
**Resolution Date:** May 31, 2027 (269 days left)
**Time Pressure:** Low

**Description:** This market will resolve to the goalkeeper who records the most clean sheets during the 2026-27 Ligue 1 season.

Only clean sheets recorded in Ligue 1 matches will count. Clean sheets in other competitions (e.g., domestic cups, UEFA Champions League, UEFA Europa League, UEFA Conference League, international matches) will not count for this market.

In the event of a tie, this market will resolve according to the official leader as determined by Ligue 1. If multiple leaders are announced then thi

**Resolution Criteria (Sample):**
"This market will resolve to the goalkeeper who records the most clean sheets during the 2026-27 Ligue 1 season.

Only clean sheets recorded in Ligue 1 matches will count. Clean sheets in other competitions (e.g., domestic cups, UEFA Champions League, UEFA Europa League, UEFA Conference League, inter"

## 2. Market liquidity & Volume
* **Total Volume:** $243
* **Total Liquidity:** $1.0K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.23)

## 3. Market Data (Prices & Odds)
### 1. Will Lucas Chevalier (PSG) record the most clean sheets in the 2026-27 Ligue 1 season?
- **Polymarket** (End: May 31, 2027): Vol $0
  DATA: [Yes: 26.5% (0.0%)] | [No: 73.5% (0.0%)]

### 2. Will Matvey Safonov (PSG) record the most clean sheets in the 2026-27 Ligue 1 season?
- **Polymarket** (End: May 31, 2027): Vol $140
  DATA: [Yes: 35.5% (0.0%)] | [No: 64.5% (0.0%)]

### 3. Will Geronimo Rulli (Marseille) record the most clean sheets in the 2026-27 Ligue 1 season?
- **Polymarket** (End: May 31, 2027): Vol $27
  DATA: [Yes: 25.4% (0.0%)] | [No: 74.6% (0.0%)]

### 4. Will Philipp Köhn (Monaco) record the most clean sheets in the 2026-27 Ligue 1 season?
- **Polymarket** (End: May 31, 2027): Vol $0
  DATA: [Yes: 23.5% (0.0%)] | [No: 76.5% (0.0%)]

### 5. Will Brice Samba (Rennes) record the most clean sheets in the 2026-27 Ligue 1 season?
- **Polymarket** (End: May 31, 2027): Vol $0
  DATA: [Yes: 23.5% (0.0%)] | [No: 76.5% (0.0%)]

### 6. Will Guillaume Restes (Toulouse) record the most clean sheets in the 2026-27 Ligue 1 season?
- **Polymarket** (End: May 31, 2027): Vol $0
  DATA: [Yes: 24.0% (0.0%)] | [No: 76.0% (0.0%)]

### 7. Will Marco Bizot (Brest) record the most clean sheets in the 2026-27 Ligue 1 season?
- **Polymarket** (End: May 31, 2027): Vol $55
  DATA: [Yes: 22.6% (0.0%)] | [No: 77.5% (0.0%)]

### 8. Will Marcin Bułka (Nice) record the most clean sheets in the 2026-27 Ligue 1 season?
- **Polymarket** (End: May 31, 2027): Vol $0
  DATA: [Yes: 23.6% (0.0%)] | [No: 76.4% (0.0%)]

### 9. Will Yvon Mvogo (Lorient) record the most clean sheets in the 2026-27 Ligue 1 season?
- **Polymarket** (End: May 31, 2027): Vol $0
  DATA: [Yes: 26.5% (0.0%)] | [No: 73.5% (0.0%)]

### 10. Will Paul Bernardoni (Angers) record the most clean sheets in the 2026-27 Ligue 1 season?
- **Polymarket** (End: May 31, 2027): Vol $21
  DATA: [Yes: 2.0% (0.0%)] | [No: 98.0% (0.0%)]

### 11. Will Dominik Greif (Lyon) record the most clean sheets in the 2026-27 Ligue 1 season?
- **Polymarket** (End: May 31, 2027): Vol $0
  DATA: [Yes: 25.0% (0.0%)] | [No: 75.0% (0.0%)]

### 12. Will Robin Risser (Lens) record the most clean sheets in the 2026-27 Ligue 1 season?
- **Polymarket** (End: May 31, 2027): Vol $0
  DATA: [Yes: 27.0% (0.0%)] | [No: 73.0% (0.0%)]

### 13. Will Filip Jørgensen (Strasbourg) record the most clean sheets in the 2026-27 Ligue 1 season?
- **Polymarket** (End: May 31, 2027): Vol $0
  DATA: [Yes: 23.7% (0.0%)] | [No: 76.3% (0.0%)]

### 14. Will Kevin Trapp (Paris FC) record the most clean sheets in the 2026-27 Ligue 1 season?
- **Polymarket** (End: May 31, 2027): Vol $0
  DATA: [Yes: 24.5% (0.0%)] | [No: 75.5% (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.

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