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Event GroupPOLYMARKETSports

Counter-Strike: Esport BERG vs Clutchain Female (BO1) - ESEA Advanced Europe Regular Season

Name: Counter-Strike: Esport BERG vs Clutchain Female (BO1) - ESEA Advanced Europe Regular Season
End: 2026-07-22T00:50:00.000Z

Total Volume

$6.61K

Events

Markets

Trade on Polymarket

Counter-Strike: Esport BERG vs Clutchain Female (BO1) - ESEA Advanced Europe Regular Season

Vol

$6.61K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $6.61K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $6.61K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

2 markets tracked

Counter-Strike: Esport BERG vs Clutchain Female (BO1) - ESEA Advanced Europe Regular Season

No data available

Single-Platform Markets(2)

Market	Platform	Price
Counter-Strike: Esport BERG vs Clutchain Female (BO1) - ESEA Advanced Europe Regular Season	Poly	51%
Map 1 Rounds Handicap: Esport BERG (-6.5) vs Clutchain Female (+6.5)	Poly	50%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

51%

Top Probability

$6.61K

Volume

Markets

Platforms

About This Event

This market refers to the Counter-Strike match between Esport BERG and Clutchain Female in the ESEA Advanced Europe Regular Season, initially scheduled for July 21 at 2:30PM ET. This market will resolve to "Esport BERG" if Esport BERG win the match against Clutchain Female. This market will resolve to "Clutchain Female" if Clutchain Female win the match against Esport BERG. If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the scheduled date without

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

Custom AI Analysis Prompt

Tap to expand

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:** Saturday, September 5, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** Counter-Strike: Esport BERG vs Clutchain Female (BO1) - ESEA Advanced Europe Regular Season
**Category:** Sports | **Status:** active
**Resolution Date:** Jul 22, 2026 (Ended)
**Time Pressure:** Expired

**Description:** This market refers to the Counter-Strike match between Esport BERG and Clutchain Female in the ESEA Advanced Europe Regular Season, initially scheduled for July 21 at 2:30PM ET.

This market will resolve to "Esport BERG" if Esport BERG win the match against Clutchain Female.

This market will resolve to "Clutchain Female" if Clutchain Female win the match against Esport BERG.

If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the scheduled date without

**Resolution Criteria (Sample):**
"This market refers to the Counter-Strike match between Esport BERG and Clutchain Female in the ESEA Advanced Europe Regular Season, initially scheduled for July 21 at 2:30PM ET.

This market will resolve to "Esport BERG" if Esport BERG win the match against Clutchain Female.

This market will resolv"

## 2. Market liquidity & Volume
* **Total Volume:** $6.6K
* **Total Liquidity:** $243
* **Activity Level:** Very High Turnover (Vol/Liq Ratio: 27.20)

## 3. Market Data (Prices & Odds)
### 1. Counter-Strike: Esport BERG vs Clutchain Female (BO1) - ESEA Advanced Europe Regular Season
- **Polymarket** (End: Jul 22, 2026): Vol $6.6K
  DATA: [Esport BERG: 50.5% (0.0%)] | [Clutchain Female: 49.5% (0.0%)]

### 2. Map 1 Rounds Handicap: Esport BERG (-6.5) vs Clutchain Female (+6.5)
- **Polymarket** (End: Jul 22, 2026): Vol $0
  DATA: [Esport BERG: 50.0% (0.0%)] | [Clutchain Female: 50.0% (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.

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