This event has ended. Showing historical data.

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Baltimore Orioles vs. New York Yankees

Name: Baltimore Orioles vs. New York Yankees
End: 2026-05-10T17:35:00.000Z

Total Volume

$5.00

Events

Markets

Trade on Polymarket

Baltimore Orioles vs. New York Yankees

Vol

$5.00

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $5.00

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $5.00

100%

Polymarket leads

Price ChartMatched Markets Price Graph

2 markets tracked

Will there be a run scored in the first inning?: Baltimore Orioles vs. New York Yankees

No data available

Single-Platform Markets(2)

Market	Platform	Price
Will there be a run scored in the first inning?: Baltimore Orioles vs. New York Yankees	Poly	47%
Baltimore Orioles vs. New York Yankees	Poly	38%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

47%

Top Probability

$5.00

Volume

Markets

Platforms

About This Event

In the upcoming MLB game between the Baltimore Orioles and New York Yankees, scheduled for May 3 at 1:35PM ET: This market will resolve to "Baltimore Orioles" if the Baltimore Orioles win the game. This market will resolve to "New York Yankees" if the New York Yankees win the game. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, or ends in a tie, this market will resolve 50-50. The primary resol

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:** Baltimore Orioles vs. New York Yankees
**Category:** Sports | **Status:** active
**Resolution Date:** May 10, 2026 (Ended)
**Time Pressure:** Expired

**Description:** In the upcoming MLB game between the Baltimore Orioles and New York Yankees, scheduled for May 3 at 1:35PM ET:

This market will resolve to "Baltimore Orioles" if the Baltimore Orioles win the game.

This market will resolve to "New York Yankees" if the New York Yankees win the game.

If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, or ends in a tie, this market will resolve 50-50.

The primary resol

**Resolution Criteria (Sample):**
"In the upcoming MLB game between the Baltimore Orioles and New York Yankees, scheduled for May 3 at 1:35PM ET:

This market will resolve to "Baltimore Orioles" if the Baltimore Orioles win the game.

This market will resolve to "New York Yankees" if the New York Yankees win the game.

If the game is"

## 2. Market liquidity & Volume
* **Total Volume:** $5
* **Total Liquidity:** $32.5K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Baltimore Orioles vs. New York Yankees
- **Polymarket** (End: May 10, 2026): Vol $5
  DATA: [Baltimore Orioles: 38.0% (0.0%)] | [New York Yankees: 62.0% (0.0%)]

### 2. Will there be a run scored in the first inning?: Baltimore Orioles vs. New York Yankees
- **Polymarket** (End: May 10, 2026): Vol $0
  DATA: [Yes: 47.0% (0.0%)] | [No: 53.0% (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