Market snapshot: Oct 12, 2026, 12:00 AM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Counter-Strike: Bread Eaters Esports vs Passion Academy (BO3) - European Pro League Regular Group A

Name: Counter-Strike: Bread Eaters Esports vs Passion Academy (BO3) - European Pro League Regular Group A
End: 2026-10-12T14:00:00.000Z

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$0.00

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Counter-Strike: Bread Eaters Esports vs Passion Academy (BO3) - European Pro League Regular Group A

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Price Spread

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Arbitrage

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Price ChartMatched Markets Price Graph

8 markets tracked

Counter-Strike: Bread Eaters Esports vs Passion Academy (BO3) - European Pro League Regular Group A

No data available

Single-Platform Markets(8)

Market	Platform	Price
Counter-Strike: Bread Eaters Esports vs Passion Academy (BO3) - European Pro League Regular Group A	Poly	57%
Counter-Strike: Bread Eaters Esports vs Passion Academy - Map 2 Winner	Poly	50%
Map Handicap: Bread Eaters Esports (-1.5) vs Passion Academy (+1.5)	Poly	50%
Map 1 Total Rounds: Over/Under 21.5	Poly	50%
Map 2 Total Rounds: Over/Under 21.5	Poly	50%
Map 3 Total Rounds: Over/Under 21.5	Poly	50%
Counter-Strike: Bread Eaters Esports vs Passion Academy - Map 1 Winner	Poly	37%
Games Total: Over/Under 2.5	Poly	27%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

57%

Top Probability

$0.00

Volume

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About This Event

This market refers to the Counter-Strike Decider match between Bread Eaters Esports and Passion Academy in the European Pro League Regular Group A, initially scheduled for October 12, 2026 at 4:00 AM ET. This market will resolve to "Bread Eaters Esports" if Bread Eaters Esports win the match against Passion Academy. This market will resolve to "Passion Academy" if Passion Academy win the match against Bread Eaters Esports. If the match is canceled (not played at all) or ends in a tie, this ma

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:** Monday, October 12, 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: Bread Eaters Esports vs Passion Academy (BO3) - European Pro League Regular Group A
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 12, 2026 (1 days left)
**Time Pressure:** Critical

**Description:** This market refers to the Counter-Strike Decider match between Bread Eaters Esports and Passion Academy in the European Pro League Regular Group A, initially scheduled for October 12, 2026 at 4:00 AM ET.

This market will resolve to "Bread Eaters Esports" if Bread Eaters Esports win the match against Passion Academy.

This market will resolve to "Passion Academy" if Passion Academy win the match against Bread Eaters Esports.

If the match is canceled (not played at all) or ends in a tie, this ma

**Resolution Criteria (Sample):**
"This market refers to the Counter-Strike Decider match between Bread Eaters Esports and Passion Academy in the European Pro League Regular Group A, initially scheduled for October 12, 2026 at 4:00 AM ET.

This market will resolve to "Bread Eaters Esports" if Bread Eaters Esports win Map 1 against Pa"

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $2.5K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Counter-Strike: Bread Eaters Esports vs Passion Academy - Map 1 Winner
- **Polymarket** (End: Oct 12, 2026): Vol $0
  DATA: [Bread Eaters Esports: 37.0% (0.0%)] | [Passion Academy: 63.0% (0.0%)]

### 2. Counter-Strike: Bread Eaters Esports vs Passion Academy - Map 2 Winner
- **Polymarket** (End: Oct 12, 2026): Vol $0
  DATA: [Bread Eaters Esports: 50.0% (0.0%)] | [Passion Academy: 50.0% (0.0%)]

### 3. Counter-Strike: Bread Eaters Esports vs Passion Academy (BO3) - European Pro League Regular Group A
- **Polymarket** (End: Oct 12, 2026): Vol $0
  DATA: [Bread Eaters Esports: 57.0% (0.0%)] | [Passion Academy: 43.0% (0.0%)]

### 4. Games Total: Over/Under 2.5
- **Polymarket** (End: Oct 12, 2026): Vol $0
  DATA: [Over: 26.5% (0.0%)] | [Under: 73.5% (0.0%)]

### 5. Map Handicap: Bread Eaters Esports (-1.5) vs Passion Academy (+1.5)
- **Polymarket** (End: Oct 12, 2026): Vol $0
  DATA: [Bread Eaters Esports: 50.0% (0.0%)] | [Passion Academy: 50.0% (0.0%)]

### 6. Map 1 Total Rounds: Over/Under 21.5
- **Polymarket** (End: Oct 12, 2026): Vol $0
  DATA: [Over: 50.0% (0.0%)] | [Under: 50.0% (0.0%)]

### 7. Map 2 Total Rounds: Over/Under 21.5
- **Polymarket** (End: Oct 12, 2026): Vol $0
  DATA: [Over: 50.0% (0.0%)] | [Under: 50.0% (0.0%)]

### 8. Map 3 Total Rounds: Over/Under 21.5
- **Polymarket** (End: Oct 12, 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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