Market snapshot: Oct 12, 2026, 3:00 AM UTC. Prices may have changed since this snapshot.

GroupKALSHI

Event GroupKALSHISports

Reveal vs. BLUEJAYS.de: Total Maps

Total Volume

$0.00

Events

Markets

Trade on Kalshi

Reveal vs. BLUEJAYS.de: Total Maps

Vol

$0.00

Events

Markets

Kalshi

Platform StatsQuick Platform Comparison

Polymarket

markets · $0.00

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Price ChartMatched Markets Price Graph

1 market tracked

Will over 2.5 maps be played in the Reveal vs. BLUEJAYS.de CS2 match?

No data available

Single-Platform Markets(1)

Market	Platform	Price
Will over 2.5 maps be played in the Reveal vs. BLUEJAYS.de CS2 match?	Kalshi	49%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

49%

Top Probability

$0.00

Volume

Markets

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About This Event

Total Maps: REV vs. BLU (Oct 12) If over 2.5 maps are played in the DACH CS Masters 2026: Reveal vs. BLUEJAYS.de CS2 match originally scheduled for Oct 12, 2026 at 2:00 PM EDT, then the market resolves to Yes. Kalshi is not affiliated, associated, authorized, endorsed by, or in any way officially connected with the Governing League. All trademarks, logos, and brand names are the property of their respective owners. This market will close and expire after the event occurs.

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%).

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## 1. Event Snapshot
**Event:** Reveal vs. BLUEJAYS.de: Total Maps
**Category:** Sports | **Status:** active
**Resolution Date:** N/A (Unknown)
**Time Pressure:** Unknown

**Description:** Total Maps: REV vs. BLU (Oct 12)

If over 2.5 maps are played in the DACH CS Masters 2026: Reveal vs. BLUEJAYS.de CS2 match originally scheduled for Oct 12, 2026 at 2:00 PM EDT, then the market resolves to Yes. Kalshi is not affiliated, associated, authorized, endorsed by, or in any way officially connected with the Governing League. All trademarks, logos, and brand names are the property of their respective owners. This market will close and expire after the event occurs.

**Resolution Criteria (Sample):**
"If over 2.5 maps are played in the DACH CS Masters 2026: Reveal vs. BLUEJAYS.de CS2 match originally scheduled for Oct 12, 2026 at 2:00 PM EDT, then the market resolves to Yes. Secondary rules: Kalshi is not affiliated, associated, authorized, endorsed by, or in any way officially connected with the"

## 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. Will over 2.5 maps be played in the Reveal vs. BLUEJAYS.de CS2 match?
- **Kalshi** (End: Oct 14, 2026): Vol $0
  DATA: [Yes: 48.5% (0.0%)] | [No: 51.5% (0.0%)]

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## 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.

KALSHISports