Market snapshot: Oct 11, 2026, 9:47 PM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Vissel Kōbe vs. FC Machida Zelvia - First Team to Score

Name: Vissel Kōbe vs. FC Machida Zelvia - First Team to Score
End: 2026-10-24T06:00:00.000Z

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Vissel Kōbe vs. FC Machida Zelvia - First Team to Score

Vol

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Price Spread

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Arbitrage

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Price ChartMatched Markets Price Graph

3 markets tracked

Vissel Kōbe to score first vs. FC Machida Zelvia?

No data available

Single-Platform Markets(3)

Market	Platform	Price
Vissel Kōbe to score first vs. FC Machida Zelvia?	Poly	49%
FC Machida Zelvia to score first vs. Vissel Kōbe?	Poly	49%
Vissel Kōbe vs. FC Machida Zelvia: Neither team to score first?	Poly	49%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

49%

Top Probability

$0.00

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About This Event

In the upcoming match between Vissel Kōbe and FC Machida Zelvia, scheduled for October 24, 2026 at 2:00 AM ET: This market will resolve to "Vissel Kōbe" if Vissel Kōbe are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "FC Machida Zelvia" if FC Machida Zelvia are the first to score within the first 90 minutes of regular play plus stoppage time. If neither team scores within the first 90 minutes of regular play plus stoppage time, th

AI-generated analysis based on market data. Not financial advice.

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**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, October 11, 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:** Vissel Kōbe vs. FC Machida Zelvia - First Team to Score
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 24, 2026 (13 days left)
**Time Pressure:** Medium

**Description:** In the upcoming match between Vissel Kōbe and FC Machida Zelvia, scheduled for October 24, 2026 at 2:00 AM ET: This market will resolve to "Vissel Kōbe" if Vissel Kōbe are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "FC Machida Zelvia" if FC Machida Zelvia are the first to score within the first 90 minutes of regular play plus stoppage time. If neither team scores within the first 90 minutes of regular play plus stoppage time, th

**Resolution Criteria (Sample):**
"In the upcoming match between Vissel Kōbe and FC Machida Zelvia, scheduled for October 24, 2026 at 2:00 AM ET: This market will resolve to "Vissel Kōbe" if Vissel Kōbe are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "FC Machida Zelvi"

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $19
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Vissel Kōbe to score first vs. FC Machida Zelvia?
- **Polymarket** (End: Oct 24, 2026): Vol $0
  DATA: [Yes: 49.0% (0.0%)] | [No: 51.0% (0.0%)]

### 2. FC Machida Zelvia to score first vs. Vissel Kōbe?
- **Polymarket** (End: Oct 24, 2026): Vol $0
  DATA: [Yes: 49.0% (0.0%)] | [No: 51.0% (0.0%)]

### 3. Vissel Kōbe vs. FC Machida Zelvia: Neither team to score first?
- **Polymarket** (End: Oct 24, 2026): Vol $0
  DATA: [Yes: 49.0% (0.0%)] | [No: 51.0% (0.0%)]

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## 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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