Market snapshot: Oct 12, 2026, 3:00 AM UTC. Prices may have changed since this snapshot.

GroupKALSHI

Event GroupKALSHISports

Chapecoense vs Paranaense: First Half BTTS

Total Volume

$0.00

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Chapecoense vs Paranaense: First Half BTTS

Vol

$0.00

Events

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Polymarket

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Price Spread

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Arbitrage

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Price ChartMatched Markets Price Graph

1 market tracked

Both teams score in the 1st Half?

No data available

Single-Platform Markets(1)

Market	Platform	Price
Both teams score in the 1st Half?	Kalshi	20%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

20%

Top Probability

$0.00

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About This Event

CHA vs CAP (Oct 12) If Chapecoense and Paranaense both score a goal in the 1st Half of the Chapecoense vs Paranaense Brasileiro Serie A match originally scheduled for Oct 12, 2026, then the market resolves to Yes. Only goals scored during the 1st Half count for the purposes of this market. Own goals count towards the team awarded the goal. This market will close and expire early if the event occurs.

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:** Chapecoense vs Paranaense: First Half BTTS
**Category:** Sports | **Status:** active
**Resolution Date:** N/A (Unknown)
**Time Pressure:** Unknown

**Description:** CHA vs CAP (Oct 12)

If Chapecoense and Paranaense both score a goal in the 1st Half of the Chapecoense vs Paranaense Brasileiro Serie A match originally scheduled for Oct 12, 2026, then the market resolves to Yes. Only goals scored during the 1st Half count for the purposes of this market. Own goals count towards the team awarded the goal. This market will close and expire early if the event occurs.

**Resolution Criteria (Sample):**
"If Chapecoense and Paranaense both score a goal in the 1st Half of the Chapecoense vs Paranaense Brasileiro Serie A match originally scheduled for Oct 12, 2026, then the market resolves to Yes. Secondary rules: Only goals scored during the 1st Half count for the purposes of this market. Own goals co"

## 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. Both teams score in the 1st Half?
- **Kalshi** (End: Oct 14, 2026): Vol $0
  DATA: [Yes: 19.5% (0.0%)] | [No: 80.5% (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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