MLS: Players to Join | PredictPedia

Events

GroupKALSHI

Event GroupKALSHISports

MLS: Players to Join

Total Volume

$0.00

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MLS: Players to Join

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Polymarket

markets · $0.00

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Price ChartMatched Markets Price Graph

16 markets tracked

Who will join MLS in the summer? (Casemiro)

No data available

Single-Platform Markets(16)

Market	Platform	Price
Who will join MLS in the summer? (Casemiro)	Kalshi	90%
Who will join MLS in the summer? (Robert Lewandowski)	Kalshi	45%
Who will join MLS in the summer? (Mohamed Salah)	Kalshi	35%
Who will join MLS in the summer? (Neymar)	Kalshi	25%
Who will join MLS in the summer? (Lucas Moura)	Kalshi	25%
Who will join MLS in the summer? (Sergio Ramos)	Kalshi	20%
Who will join MLS in the summer? (Henrikh Mkhitaryan)	Kalshi	20%
Who will join MLS in the summer? (Francesco Acerbi)	Kalshi	20%
Who will join MLS in the summer? (Cristiano Ronaldo)	Kalshi	20%
Who will join MLS in the summer? (Manuel Neuer)	Kalshi	15%
Who will join MLS in the summer? (Yann Sommer)	Kalshi	10%
Who will join MLS in the summer? (Luka Modric)	Kalshi	10%
Who will join MLS in the summer? (Keylor Navas)	Kalshi	10%
Who will join MLS in the summer? (Karim Benzema)	Kalshi	10%
Who will join MLS in the summer? (Angel Di Maria)	Kalshi	10%
Who will join MLS in the summer? (Harry Kane)	Kalshi	5%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

90%

Top Probability

$0.00

Volume

Markets

Platforms

About This Event

Before Sep 3, 2026 If X next club is any team in the MLS before Sep 3, 2026, then the market resolves to Yes. Transfer Details The market resolves to Yes if X signs a contract to join any team in the MLS, whether via transfer fee or as a free agent. Y signs with a club and is immediately loaned out, the signing club resolves to Yes and all others resolve to No. The market resolves to Yes if X is loaned to any team in the MLS, temporary transfer of registration. Y is currently signed to any team

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:** Sunday, April 19, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** MLS: Players to Join
**Category:** Sports | **Status:** active
**Resolution Date:** N/A (Unknown)
**Time Pressure:** Unknown

**Description:** Before Sep 3, 2026

If X next club is any team in the MLS before Sep 3, 2026, then the market resolves to Yes. Transfer Details The market resolves to Yes if X signs a contract to join any team in the MLS, whether via transfer fee or as a free agent. Y signs with a club and is immediately loaned out, the signing club resolves to Yes and all others resolve to No. The market resolves to Yes if X is loaned to any team in the MLS, temporary transfer of registration. Y is currently signed to any team

**Resolution Criteria (Sample):**
"If Yann Sommer's next club is any team in the MLS before Sep 3, 2026, then the market resolves to Yes. Secondary rules: Transfer Details
The market resolves to Yes if Yann Sommer signs a contract to join any team in the MLS, whether via transfer fee or as a free agent.  
If Yann Sommer signs with a "

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

## 3. Market Data (Prices & Odds)
### 1. Who will join MLS in the summer? (Yann Sommer)
- **Kalshi** (End: Sep 10, 2026): Vol $0
  DATA: [Yes: 10.0% (0.0%)] | [No: 90.0% (0.0%)]

### 2. Who will join MLS in the summer? (Sergio Ramos)
- **Kalshi** (End: Sep 10, 2026): Vol $0
  DATA: [Yes: 20.0% (0.0%)] | [No: 80.0% (0.0%)]

### 3. Who will join MLS in the summer? (Robert Lewandowski)
- **Kalshi** (End: Sep 10, 2026): Vol $0
  DATA: [Yes: 45.0% (0.0%)] | [No: 55.0% (0.0%)]

### 4. Who will join MLS in the summer? (Neymar)
- **Kalshi** (End: Sep 10, 2026): Vol $0
  DATA: [Yes: 25.0% (0.0%)] | [No: 75.0% (0.0%)]

### 5. Who will join MLS in the summer? (Mohamed Salah)
- **Kalshi** (End: Sep 10, 2026): Vol $0
  DATA: [Yes: 35.0% (0.0%)] | [No: 65.0% (0.0%)]

### 6. Who will join MLS in the summer? (Manuel Neuer)
- **Kalshi** (End: Sep 10, 2026): Vol $0
  DATA: [Yes: 15.0% (0.0%)] | [No: 85.0% (0.0%)]

### 7. Who will join MLS in the summer? (Lucas Moura)
- **Kalshi** (End: Sep 10, 2026): Vol $0
  DATA: [Yes: 25.0% (0.0%)] | [No: 75.0% (0.0%)]

### 8. Who will join MLS in the summer? (Luka Modric)
- **Kalshi** (End: Sep 10, 2026): Vol $0
  DATA: [Yes: 10.0% (0.0%)] | [No: 90.0% (0.0%)]

### 9. Who will join MLS in the summer? (Keylor Navas)
- **Kalshi** (End: Sep 10, 2026): Vol $0
  DATA: [Yes: 10.0% (0.0%)] | [No: 90.0% (0.0%)]

### 10. Who will join MLS in the summer? (Karim Benzema)
- **Kalshi** (End: Sep 10, 2026): Vol $0
  DATA: [Yes: 10.0% (0.0%)] | [No: 90.0% (0.0%)]

### 11. Who will join MLS in the summer? (Henrikh Mkhitaryan)
- **Kalshi** (End: Sep 10, 2026): Vol $0
  DATA: [Yes: 20.0% (0.0%)] | [No: 80.0% (0.0%)]

### 12. Who will join MLS in the summer? (Harry Kane)
- **Kalshi** (End: Sep 10, 2026): Vol $0
  DATA: [Yes: 5.0% (0.0%)] | [No: 95.0% (0.0%)]

### 13. Who will join MLS in the summer? (Francesco Acerbi)
- **Kalshi** (End: Sep 10, 2026): Vol $0
  DATA: [Yes: 20.0% (0.0%)] | [No: 80.0% (0.0%)]

### 14. Who will join MLS in the summer? (Cristiano Ronaldo)
- **Kalshi** (End: Sep 10, 2026): Vol $0
  DATA: [Yes: 20.0% (0.0%)] | [No: 80.0% (0.0%)]

### 15. Who will join MLS in the summer? (Casemiro)
- **Kalshi** (End: Sep 10, 2026): Vol $0
  DATA: [Yes: 90.0% (0.0%)] | [No: 10.0% (0.0%)]

### 16. Who will join MLS in the summer? (Angel Di Maria)
- **Kalshi** (End: Sep 10, 2026): Vol $0
  DATA: [Yes: 10.0% (0.0%)] | [No: 90.0% (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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Market Insights

Average Yes Price

23¢

Kalshi

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MLS: Players to Join

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Who will join MLS in the summer? (Casemiro)

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About This Event

Platform StatsQuick Platform Comparison

Price ChartMatched Markets Price Graph

Who will join MLS in the summer? (Casemiro)

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Educational Context

Events (1)