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

GroupPOLYMARKET

Event GroupPOLYMARKETSports

HC Davos vs. Bili Tygri Liberec

Name: HC Davos vs. Bili Tygri Liberec
End: 2026-10-21T17:45:00.000Z

Total Volume

$0.00

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HC Davos vs. Bili Tygri Liberec

Vol

$0.00

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Price Spread

0.0%avg

max 0.0%

Arbitrage

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Price ChartMatched Markets Price Graph

1 market tracked

HC Davos vs. Bili Tygri Liberec

No data available

Single-Platform Markets(1)

Market	Platform	Price
HC Davos vs. Bili Tygri Liberec	Poly	69%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

69%

Top Probability

$0.00

Volume

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About This Event

This market refers to the Champions Hockey League match between HC Davos and Bili Tygri Liberec, scheduled for October 14 at 1:45PM ET. This market will resolve to "HC Davos" if HC Davos is officially credited with the match win. This market will resolve to "Bili Tygri Liberec" if Bili Tygri Liberec is officially credited with the match win. The official final result will be used, including overtime and any shootout. If the official result is a draw, this market will resolve 50-50. If the ma

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, 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:** HC Davos vs. Bili Tygri Liberec
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 21, 2026 (10 days left)
**Time Pressure:** Medium

**Description:** This market refers to the Champions Hockey League match between HC Davos and Bili Tygri Liberec, scheduled for October 14 at 1:45PM ET.

This market will resolve to "HC Davos" if HC Davos is officially credited with the match win.

This market will resolve to "Bili Tygri Liberec" if Bili Tygri Liberec is officially credited with the match win.

The official final result will be used, including overtime and any shootout. If the official result is a draw, this market will resolve 50-50.

If the ma

**Resolution Criteria (Sample):**
"This market refers to the Champions Hockey League match between HC Davos and Bili Tygri Liberec, scheduled for October 14 at 1:45PM ET.

This market will resolve to "HC Davos" if HC Davos is officially credited with the match win.

This market will resolve to "Bili Tygri Liberec" if Bili Tygri Liber"

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $50
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. HC Davos vs. Bili Tygri Liberec
- **Polymarket** (End: Oct 21, 2026): Vol $0
  DATA: [HC Davos: 69.0% (0.0%)] | [Bili Tygri Liberec: 31.0% (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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Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.

POLYMARKETSports