Market snapshot: Oct 13, 2026, 12:27 PM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Counter-Strike: SINQU vs ENRAGE (BO1) - ESEA Advanced Europe Regular Season

Name: Counter-Strike: SINQU vs ENRAGE (BO1) - ESEA Advanced Europe Regular Season
End: 2026-10-14T00:30:00.000Z

Total Volume

$0.00

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Counter-Strike: SINQU vs ENRAGE (BO1) - ESEA Advanced Europe Regular Season

Vol

$0.00

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Price Spread

0.0%avg

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Price gaps

of 0 cross-platform

Saved prices are comparisons, not executable quotes. A price difference does not establish arbitrage. Check both contracts, live order prices, fees and available size.

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2 markets tracked

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Saved prices are comparisons, not executable quotes. A price difference does not establish arbitrage. Check both contracts, live order prices, fees and available size.

Counter-Strike: SINQU vs ENRAGE (BO1) - ESEA Advanced Europe Regular Season

No data available

Single-Platform Markets(2)

Market	Platform	Price
Counter-Strike: SINQU vs ENRAGE (BO1) - ESEA Advanced Europe Regular Season	Kalshi	—
Map 1 Total Rounds: Over/Under 21.5	Kalshi	—

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

50%

Top Probability

$0.00

Volume

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About This Event

This market refers to the Counter-Strike match between SINQU and ENRAGE in the ESEA Advanced Europe Regular Season, initially scheduled for October 13, 2026 at 2:30 PM ET. This market will resolve to "SINQU" if SINQU win the match against ENRAGE. This market will resolve to "ENRAGE" if ENRAGE win the match against SINQU. 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 rescheduled to a start time on or bef

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:** Tuesday, October 13, 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:** Counter-Strike: SINQU vs ENRAGE (BO1) - ESEA Advanced Europe Regular Season
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 14, 2026 (1 days left)
**Time Pressure:** Critical

**Description:** This market refers to the Counter-Strike match between SINQU and ENRAGE in the ESEA Advanced Europe Regular Season, initially scheduled for October 13, 2026 at 2:30 PM ET.

This market will resolve to "SINQU" if SINQU win the match against ENRAGE.

This market will resolve to "ENRAGE" if ENRAGE win the match against SINQU.

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 rescheduled to a start time on or bef

**Resolution Criteria (Sample):**
"This market refers to the Counter-Strike match between SINQU and ENRAGE in the ESEA Advanced Europe Regular Season, initially scheduled for October 13, 2026 at 2:30 PM ET.

This market will resolve to "SINQU" if SINQU win the match against ENRAGE.

This market will resolve to "ENRAGE" if ENRAGE win "

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $217
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Counter-Strike: SINQU vs ENRAGE (BO1) - ESEA Advanced Europe Regular Season
- **Polymarket** (End: Oct 14, 2026): Vol $0
  DATA: [SINQU: 45.0% (0.0%)] | [ENRAGE: 55.0% (0.0%)]

### 2. Map 1 Total Rounds: Over/Under 21.5
- **Polymarket** (End: Oct 14, 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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AI-written background. References identify the evidence used; Wikipedia links under Learn More are additional reading. Prices and provider rules are dated snapshots. This is not financial advice.

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