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

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Counter-Strike: BANGARANGA vs KUUSAMO.gg (BO1) - ESEA Advanced Europe Regular Season

Name: Counter-Strike: BANGARANGA vs KUUSAMO.gg (BO1) - ESEA Advanced Europe Regular Season
End: 2026-10-09T00:30:00.000Z

Total Volume

$402.20

Events

Markets

Trade on Polymarket

Counter-Strike: BANGARANGA vs KUUSAMO.gg (BO1) - ESEA Advanced Europe Regular Season

Vol

$402.20

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $402.20

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $402.20

100%

Polymarket leads

Price ChartMatched Markets Price Graph

2 markets tracked

Counter-Strike: BANGARANGA vs KUUSAMO.gg (BO1) - ESEA Advanced Europe Regular Season

No data available

Single-Platform Markets(2)

Market	Platform	Price
Counter-Strike: BANGARANGA vs KUUSAMO.gg (BO1) - ESEA Advanced Europe Regular Season	Poly	51%
Map 1 Total Rounds: Over/Under 21.5	Poly	50%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

51%

Top Probability

$402.20

Volume

Markets

Platforms

About This Event

This market refers to the Counter-Strike match between BANGARANGA and KUUSAMO.gg in the ESEA Advanced Europe Regular Season, initially scheduled for October 8, 2026 at 2:30 PM ET. This market will resolve to "BANGARANGA" if BANGARANGA win the match against KUUSAMO.gg. This market will resolve to "KUUSAMO.gg" if KUUSAMO.gg win the match against BANGARANGA. If the match is canceled (not played at all) or ends in a tie, this market will resolve to 50-50. If the match is postponed, it must be re

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%).

---

## 1. Event Snapshot
**Event:** Counter-Strike: BANGARANGA vs KUUSAMO.gg (BO1) - ESEA Advanced Europe Regular Season
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 9, 2026 (Ended)
**Time Pressure:** Expired

**Description:** This market refers to the Counter-Strike match between BANGARANGA and KUUSAMO.gg in the ESEA Advanced Europe Regular Season, initially scheduled for October 8, 2026 at 2:30 PM ET.

This market will resolve to "BANGARANGA" if BANGARANGA win the match against KUUSAMO.gg.

This market will resolve to "KUUSAMO.gg" if KUUSAMO.gg win the match against BANGARANGA.

If the match is canceled (not played at all) or ends in a tie, this market will resolve to 50-50.

If the match is postponed, it must be re

**Resolution Criteria (Sample):**
"This market refers to the Counter-Strike match between BANGARANGA and KUUSAMO.gg in the ESEA Advanced Europe Regular Season, initially scheduled for October 8, 2026 at 2:30 PM ET.

This market will resolve to "BANGARANGA" if BANGARANGA win the match against KUUSAMO.gg.

This market will resolve to ""

## 2. Market liquidity & Volume
* **Total Volume:** $402
* **Total Liquidity:** $1.5K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.26)

## 3. Market Data (Prices & Odds)
### 1. Counter-Strike: BANGARANGA vs KUUSAMO.gg (BO1) - ESEA Advanced Europe Regular Season
- **Polymarket** (End: Oct 9, 2026): Vol $402
  DATA: [BANGARANGA: 51.0% (0.0%)] | [KUUSAMO.gg: 49.0% (0.0%)]

### 2. Map 1 Total Rounds: Over/Under 21.5
- **Polymarket** (End: Oct 9, 2026): Vol $0
  DATA: [Over: 50.0% (0.0%)] | [Under: 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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