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

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Counter-Strike: MTX vs Diamant Esports (BO1) - ESEA Advanced Europe Regular Season

Name: Counter-Strike: MTX vs Diamant Esports (BO1) - ESEA Advanced Europe Regular Season
End: 2026-09-11T03:59:00.000Z

Total Volume

$144.96

Events

Markets

Trade on Polymarket

Counter-Strike: MTX vs Diamant Esports (BO1) - ESEA Advanced Europe Regular Season

Vol

$144.96

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $144.96

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $144.96

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

Map 1 Total Rounds: Over/Under 21.5

No data available

Single-Platform Markets(1)

Market	Platform	Price
Map 1 Total Rounds: Over/Under 21.5	Poly	50%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

50%

Top Probability

$144.96

Volume

Markets

Platforms

About This Event

This market refers to the Counter-Strike match between MTX and Diamant Esports in the ESEA Advanced Europe Regular Season, initially scheduled for August 27, 2026 at 2:30 PM ET. This market will resolve to "MTX" if MTX win the match against Diamant Esports. This market will resolve to "Diamant Esports" if Diamant Esports win the match against MTX. 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 reschedule

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:** 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: MTX vs Diamant Esports (BO1) - ESEA Advanced Europe Regular Season
**Category:** Sports | **Status:** active
**Resolution Date:** Sep 11, 2026 (Ended)
**Time Pressure:** Expired

**Description:** This market refers to the Counter-Strike match between MTX and Diamant Esports in the ESEA Advanced Europe Regular Season, initially scheduled for August 27, 2026 at 2:30 PM ET.

This market will resolve to "MTX" if MTX win the match against Diamant Esports.

This market will resolve to "Diamant Esports" if Diamant Esports win the match against MTX.

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 reschedule

## 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. Map 1 Total Rounds: Over/Under 21.5
- **Polymarket** (End: Sep 11, 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.

POLYMARKETSports