This event has ended. Showing historical data.

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Counter-Strike: Nerve of Cow vs Imperial Academy (BO1) - ESEA Advanced Europe Regular Season

Name: Counter-Strike: Nerve of Cow vs Imperial Academy (BO1) - ESEA Advanced Europe Regular Season
End: 2026-04-21T01:10:00.000Z

Total Volume

$203.13

Events

Markets

Trade on Polymarket

Counter-Strike: Nerve of Cow vs Imperial Academy (BO1) - ESEA Advanced Europe Regular Season

Vol

$203.13

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $203.13

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $203.13

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

Map 1: Odd/Even Total Kills?

No data available

Single-Platform Markets(1)

Market	Platform	Price
Map 1: Odd/Even Total Kills?	Poly	50%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

50%

Top Probability

$203.13

Volume

Markets

Platforms

About This Event

This market refers to the Counter-Strike match between Nerve of Cow and Imperial Academy in the ESEA Advanced Europe Regular Season, initially scheduled for April 20 at 3:00PM ET. This market will resolve to "Nerve of Cow" if Nerve of Cow win the match against Imperial Academy. This market will resolve to "Imperial Academy" if Imperial Academy win the match against Nerve of Cow. If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the scheduled date wi

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:** Friday, July 10, 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: Nerve of Cow vs Imperial Academy (BO1) - ESEA Advanced Europe Regular Season
**Category:** Sports | **Status:** active
**Resolution Date:** Apr 21, 2026 (Ended)
**Time Pressure:** Expired

**Description:** This market refers to the Counter-Strike match between Nerve of Cow and Imperial Academy in the ESEA Advanced Europe Regular Season, initially scheduled for April 20 at 3:00PM ET.

This market will resolve to "Nerve of Cow" if Nerve of Cow win the match against Imperial Academy.

This market will resolve to "Imperial Academy" if Imperial Academy win the match against Nerve of Cow.

If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the scheduled date wi

**Resolution Criteria (Sample):**
"This market will resolve to "Odd" if the total combined kills by both teams in Map 1 is an odd number.

This market will resolve to "Even" if the total combined kills by both teams in Map 1 is an even number.

"Total combined kills" includes all kills recorded during the match across all rounds, inc"

## 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: Odd/Even Total Kills?
- **Polymarket** (End: Apr 21, 2026): Vol $0
  DATA: [Odd: 50.0% (0.0%)] | [Even: 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".

Tap text to select all

Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.

POLYMARKETSports