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

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Event GroupPOLYMARKETSports

CSD Mixco vs. CSD Municipal - First Team to Score

Name: CSD Mixco vs. CSD Municipal - First Team to Score
End: 2026-11-25T17:00:00.000Z

Total Volume

$0.00

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CSD Mixco vs. CSD Municipal - First Team to Score

Vol

$0.00

Events

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markets · $0.00

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

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Price ChartMatched Markets Price Graph

3 markets tracked

CSD Mixco to score first vs. CSD Municipal?

No data available

Single-Platform Markets(3)

Market	Platform	Price
CSD Mixco to score first vs. CSD Municipal?	Poly	49%
CSD Municipal to score first vs. CSD Mixco?	Poly	49%
CSD Mixco vs. CSD Municipal: Neither team to score first?	Poly	49%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

49%

Top Probability

$0.00

Volume

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About This Event

In the upcoming match between CSD Mixco and CSD Municipal, scheduled for October 3, 2026 at 1:00 PM ET: This market will resolve to "CSD Mixco" if CSD Mixco are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "CSD Municipal" if CSD Municipal are the first to score within the first 90 minutes of regular play plus stoppage time. If neither team scores within the first 90 minutes of regular play plus stoppage time, this market will reso

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:** CSD Mixco vs. CSD Municipal - First Team to Score
**Category:** Sports | **Status:** active
**Resolution Date:** Nov 25, 2026 (45 days left)
**Time Pressure:** Low

**Description:** In the upcoming match between CSD Mixco and CSD Municipal, scheduled for October 3, 2026 at 1:00 PM ET: This market will resolve to "CSD Mixco" if CSD Mixco are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "CSD Municipal" if CSD Municipal are the first to score within the first 90 minutes of regular play plus stoppage time. If neither team scores within the first 90 minutes of regular play plus stoppage time, this market will reso

**Resolution Criteria (Sample):**
"In the upcoming match between CSD Mixco and CSD Municipal, scheduled for October 3, 2026 at 1:00 PM ET: This market will resolve to "CSD Mixco" if CSD Mixco are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "CSD Municipal" if CSD Munic"

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $8
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. CSD Mixco to score first vs. CSD Municipal?
- **Polymarket** (End: Nov 25, 2026): Vol $0
  DATA: [Yes: 49.0% (0.0%)] | [No: 51.0% (0.0%)]

### 2. CSD Municipal to score first vs. CSD Mixco?
- **Polymarket** (End: Nov 25, 2026): Vol $0
  DATA: [Yes: 49.0% (0.0%)] | [No: 51.0% (0.0%)]

### 3. CSD Mixco vs. CSD Municipal: Neither team to score first?
- **Polymarket** (End: Nov 25, 2026): Vol $0
  DATA: [Yes: 49.0% (0.0%)] | [No: 51.0% (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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