Market snapshot: Oct 11, 2026, 9:47 PM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETSports

D.C. United SC vs. New York Red Bulls - Second Half Result

Name: D.C. United SC vs. New York Red Bulls - Second Half Result
End: 2026-10-14T23:30:00.000Z

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D.C. United SC vs. New York Red Bulls - Second Half Result

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Price Spread

0.0%avg

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Arbitrage

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Price ChartMatched Markets Price Graph

3 markets tracked

D.C. United SC to win the second half?

No data available

Single-Platform Markets(3)

Market	Platform	Price
D.C. United SC to win the second half?	Poly	50%
D.C. United SC vs. New York Red Bulls: Second half draw?	Poly	41%
New York Red Bulls to win the second half?	Poly	37%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

50%

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About This Event

In the upcoming MLS game between D.C. United SC and New York Red Bulls, scheduled for October 14, 2026 at 7:30 PM ET: This market will resolve to "D.C. United SC" if D.C. United SC score more goals than New York Red Bulls in the second half of regular play plus second-half stoppage time. This market will resolve to "Draw" if D.C. United SC and New York Red Bulls score the same number of goals in the second half of regular play plus second-half stoppage time. This market will resolve to "New York

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:** Sunday, October 11, 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:** D.C. United SC vs. New York Red Bulls - Second Half Result
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 14, 2026 (3 days left)
**Time Pressure:** High

**Description:** In the upcoming MLS game between D.C. United SC and New York Red Bulls, scheduled for October 14, 2026 at 7:30 PM ET: This market will resolve to "D.C. United SC" if D.C. United SC score more goals than New York Red Bulls in the second half of regular play plus second-half stoppage time. This market will resolve to "Draw" if D.C. United SC and New York Red Bulls score the same number of goals in the second half of regular play plus second-half stoppage time. This market will resolve to "New York

**Resolution Criteria (Sample):**
"In the upcoming MLS game between D.C. United SC and New York Red Bulls, scheduled for October 14, 2026 at 7:30 PM ET: This market will resolve to "D.C. United SC" if D.C. United SC score more goals than New York Red Bulls in the second half of regular play plus second-half stoppage time. This market"

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $7.5K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. D.C. United SC to win the second half?
- **Polymarket** (End: Oct 14, 2026): Vol $0
  DATA: [Yes: 49.5% (0.0%)] | [No: 50.5% (0.0%)]

### 2. D.C. United SC vs. New York Red Bulls: Second half draw?
- **Polymarket** (End: Oct 14, 2026): Vol $0
  DATA: [Yes: 40.5% (0.0%)] | [No: 59.5% (0.0%)]

### 3. New York Red Bulls to win the second half?
- **Polymarket** (End: Oct 14, 2026): Vol $0
  DATA: [Yes: 37.0% (0.0%)] | [No: 63.0% (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.

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