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Event GroupPOLYMARKETSports

Counter-Strike: BIG Academy vs AaB Esport (BO3) - European Pro League Regular Playoffs

Name: Counter-Strike: BIG Academy vs AaB Esport (BO3) - European Pro League Regular Playoffs
End: 2026-05-02T16:30:00.000Z

Total Volume

$171.97

Events

Markets

Trade on Polymarket

Counter-Strike: BIG Academy vs AaB Esport (BO3) - European Pro League Regular Playoffs

Vol

$171.97

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $171.97

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $171.97

100%

Polymarket leads

Price ChartMatched Markets Price Graph

12 markets tracked

Map Handicap: BIG.A (-1.5) vs AaB Esport (+1.5)

No data available

Single-Platform Markets(12)

Market	Platform	Price
Map Handicap: BIG.A (-1.5) vs AaB Esport (+1.5)	Poly	51%
Counter-Strike: BIG Academy vs AaB Esport - Map 1 Winner	Poly	50%
Counter-Strike: BIG Academy vs AaB Esport - Map 2 Winner	Poly	50%
Map 1: Odd/Even Total Kills?	Poly	50%
Map 1: Odd/Even Total Rounds?	Poly	50%
Map 2: Odd/Even Total Kills?	Poly	50%
Map 2: Odd/Even Total Rounds?	Poly	50%
Map 3: Odd/Even Total Kills?	Poly	50%
Map 3: Odd/Even Total Rounds?	Poly	50%
Map Handicap: AAB (-1.5) vs BIG Academy (+1.5)	Poly	50%
Games Total: Over/Under 2.5	Poly	50%
Counter-Strike: BIG Academy vs AaB Esport (BO3) - European Pro League Regular Playoffs	Poly	47%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

51%

Top Probability

$171.97

Volume

Markets

Platforms

About This Event

This market refers to the Counter-Strike Upper bracket final match between BIG Academy and AaB Esport in the European Pro League Regular Playoffs, initially scheduled for May 2 at 6:30AM ET. This market will resolve to "BIG Academy" if BIG Academy win the match against AaB Esport. This market will resolve to "AaB Esport" if AaB Esport win the match against BIG Academy. If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the scheduled date without a 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: BIG Academy vs AaB Esport (BO3) - European Pro League Regular Playoffs
**Category:** Sports | **Status:** active
**Resolution Date:** May 2, 2026 (Ended)
**Time Pressure:** Expired

**Description:** This market refers to the Counter-Strike Upper bracket final match between BIG Academy and AaB Esport in the European Pro League Regular Playoffs, initially scheduled for May 2 at 6:30AM ET.

This market will resolve to "BIG Academy" if BIG Academy win the match against AaB Esport.

This market will resolve to "AaB Esport" if AaB Esport win the match against BIG Academy.

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

**Resolution Criteria (Sample):**
"This market refers to the Counter-Strike Upper bracket final match between BIG Academy and AaB Esport in the European Pro League Regular Playoffs, initially scheduled for May 2 at 6:30AM ET.

This market will resolve to "BIG Academy" if BIG Academy win the match against AaB Esport.

This market will"

## 2. Market liquidity & Volume
* **Total Volume:** $172
* **Total Liquidity:** $1.5K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.12)

## 3. Market Data (Prices & Odds)
### 1. Counter-Strike: BIG Academy vs AaB Esport (BO3) - European Pro League Regular Playoffs
- **Polymarket** (End: May 2, 2026): Vol $164
  DATA: [BIG Academy: 46.5% (0.0%)] | [AaB Esport: 53.5% (0.0%)]

### 2. Counter-Strike: BIG Academy vs AaB Esport - Map 1 Winner
- **Polymarket** (End: May 2, 2026): Vol $0
  DATA: [BIG Academy: 50.0% (0.0%)] | [AaB Esport: 50.0% (0.0%)]

### 3. Counter-Strike: BIG Academy vs AaB Esport - Map 2 Winner
- **Polymarket** (End: May 2, 2026): Vol $0
  DATA: [BIG Academy: 50.0% (0.0%)] | [AaB Esport: 50.0% (0.0%)]

### 4. Games Total: Over/Under 2.5
- **Polymarket** (End: May 2, 2026): Vol $0
  DATA: [Over: 49.5% (0.0%)] | [Under: 50.5% (0.0%)]

### 5. Map Handicap: BIG.A (-1.5) vs AaB Esport (+1.5)
- **Polymarket** (End: May 2, 2026): Vol $0
  DATA: [BIG Academy: 50.5% (0.0%)] | [AaB Esport: 49.5% (0.0%)]

### 6. Map 1: Odd/Even Total Kills?
- **Polymarket** (End: May 2, 2026): Vol $0
  DATA: [Odd: 50.0% (0.0%)] | [Even: 50.0% (0.0%)]

### 7. Map 1: Odd/Even Total Rounds?
- **Polymarket** (End: May 2, 2026): Vol $4
  DATA: [Odd: 50.0% (0.0%)] | [Even: 50.0% (0.0%)]

### 8. Map 2: Odd/Even Total Kills?
- **Polymarket** (End: May 2, 2026): Vol $0
  DATA: [Odd: 50.0% (0.0%)] | [Even: 50.0% (0.0%)]

### 9. Map 2: Odd/Even Total Rounds?
- **Polymarket** (End: May 2, 2026): Vol $4
  DATA: [Odd: 50.0% (0.0%)] | [Even: 50.0% (0.0%)]

### 10. Map 3: Odd/Even Total Kills?
- **Polymarket** (End: May 2, 2026): Vol $0
  DATA: [Odd: 50.0% (0.0%)] | [Even: 50.0% (0.0%)]

### 11. Map 3: Odd/Even Total Rounds?
- **Polymarket** (End: May 2, 2026): Vol $0
  DATA: [Odd: 50.0% (0.0%)] | [Even: 50.0% (0.0%)]

### 12. Map Handicap: AAB (-1.5) vs BIG Academy (+1.5)
- **Polymarket** (End: May 2, 2026): Vol $0
  DATA: [AaB Esport: 50.0% (0.0%)] | [BIG Academy: 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