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

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Storhamar Hockey vs. EC Graz 99Ers

Name: Storhamar Hockey vs. EC Graz 99Ers
End: 2026-10-21T17:00:00.000Z

Total Volume

$0.00

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Trade on Polymarket

Storhamar Hockey vs. EC Graz 99Ers

Vol

$0.00

Events

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Polymarket

Platform StatsQuick Platform Comparison

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

1 market tracked

Storhamar Hockey vs. EC Graz 99Ers

No data available

Single-Platform Markets(1)

Market	Platform	Price
Storhamar Hockey vs. EC Graz 99Ers	Poly	71%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

71%

Top Probability

$0.00

Volume

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About This Event

This market refers to the Champions Hockey League match between Storhamar Hockey and EC Graz 99Ers, scheduled for October 14 at 1:00PM ET. This market will resolve to "Storhamar Hockey" if Storhamar Hockey is officially credited with the match win. This market will resolve to "EC Graz 99Ers" if EC Graz 99Ers 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.

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:** Storhamar Hockey vs. EC Graz 99Ers
**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 Storhamar Hockey and EC Graz 99Ers, scheduled for October 14 at 1:00PM ET.

This market will resolve to "Storhamar Hockey" if Storhamar Hockey is officially credited with the match win.

This market will resolve to "EC Graz 99Ers" if EC Graz 99Ers 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.



**Resolution Criteria (Sample):**
"This market refers to the Champions Hockey League match between Storhamar Hockey and EC Graz 99Ers, scheduled for October 14 at 1:00PM ET.

This market will resolve to "Storhamar Hockey" if Storhamar Hockey is officially credited with the match win.

This market will resolve to "EC Graz 99Ers" if EC"

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $68
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Storhamar Hockey vs. EC Graz 99Ers
- **Polymarket** (End: Oct 21, 2026): Vol $0
  DATA: [Storhamar Hockey: 71.0% (0.0%)] | [EC Graz 99Ers: 29.0% (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