Market snapshot: Oct 12, 2026, 12:00 AM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETSports

GD Chaves vs. CF Os Marialvas - First Team to Score

Name: GD Chaves vs. CF Os Marialvas - First Team to Score
End: 2026-10-16T19:00:00.000Z

Total Volume

$0.00

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GD Chaves vs. CF Os Marialvas - First Team to Score

Vol

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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

3 markets tracked

GD Chaves to score first vs. CF Os Marialvas?

No data available

Single-Platform Markets(3)

Market	Platform	Price
GD Chaves to score first vs. CF Os Marialvas?	Poly	50%
CF Os Marialvas to score first vs. GD Chaves?	Poly	50%
GD Chaves vs. CF Os Marialvas: Neither team to score first?	Poly	50%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

50%

Top Probability

$0.00

Volume

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About This Event

In the upcoming match between GD Chaves and CF Os Marialvas, scheduled for October 16, 2026 at 3:00 PM ET: This market will resolve to "GD Chaves" if GD Chaves are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "CF Os Marialvas" if CF Os Marialvas 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, this market wi

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:** Monday, October 12, 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:** GD Chaves vs. CF Os Marialvas - First Team to Score
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 16, 2026 (5 days left)
**Time Pressure:** High

**Description:** In the upcoming match between GD Chaves and CF Os Marialvas, scheduled for October 16, 2026 at 3:00 PM ET: This market will resolve to "GD Chaves" if GD Chaves are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "CF Os Marialvas" if CF Os Marialvas 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, this market wi

**Resolution Criteria (Sample):**
"In the upcoming match between GD Chaves and CF Os Marialvas, scheduled for October 16, 2026 at 3:00 PM ET: This market will resolve to "GD Chaves" if GD Chaves are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "CF Os Marialvas" if CF O"

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $29
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. GD Chaves to score first vs. CF Os Marialvas?
- **Polymarket** (End: Oct 16, 2026): Vol $0
  DATA: [Yes: 49.5% (0.0%)] | [No: 50.5% (0.0%)]

### 2. CF Os Marialvas to score first vs. GD Chaves?
- **Polymarket** (End: Oct 16, 2026): Vol $0
  DATA: [Yes: 49.5% (0.0%)] | [No: 50.5% (0.0%)]

### 3. GD Chaves vs. CF Os Marialvas: Neither team to score first?
- **Polymarket** (End: Oct 16, 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.

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