This event has ended. Showing historical data.

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Milwaukee Brewers vs. Washington Nationals

Name: Milwaukee Brewers vs. Washington Nationals
End: 2026-05-08T22:45:00.000Z

Total Volume

$51.27K

Events

Markets

Trade on Polymarket

Milwaukee Brewers vs. Washington Nationals

Vol

$51.27K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $51.27K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $51.27K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

2 markets tracked

Milwaukee Brewers vs. Washington Nationals

No data available

Single-Platform Markets(2)

Market	Platform	Price
Milwaukee Brewers vs. Washington Nationals	Poly	60%
Will there be a run scored in the first inning?: Milwaukee Brewers vs. Washington Nationals	Poly	49%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

60%

Top Probability

$51.27K

Volume

Markets

Platforms

About This Event

In the upcoming MLB game between the Milwaukee Brewers and Washington Nationals, scheduled for May 1 at 6:45PM ET: This market will resolve to "Milwaukee Brewers" if the Milwaukee Brewers win the game. This market will resolve to "Washington Nationals" if the Washington Nationals 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 p

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:** Milwaukee Brewers vs. Washington Nationals
**Category:** Sports | **Status:** active
**Resolution Date:** May 8, 2026 (Ended)
**Time Pressure:** Expired

**Description:** In the upcoming MLB game between the Milwaukee Brewers and Washington Nationals, scheduled for May 1 at 6:45PM ET:

This market will resolve to "Milwaukee Brewers" if the Milwaukee Brewers win the game.

This market will resolve to "Washington Nationals" if the Washington Nationals 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 p

**Resolution Criteria (Sample):**
"In the upcoming MLB game between the Milwaukee Brewers and Washington Nationals, scheduled for May 1 at 6:45PM ET:

This market will resolve to "Milwaukee Brewers" if the Milwaukee Brewers win the game.

This market will resolve to "Washington Nationals" if the Washington Nationals win the game.

If"

## 2. Market liquidity & Volume
* **Total Volume:** $35.3K
* **Total Liquidity:** $317.6K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.11)

## 3. Market Data (Prices & Odds)
### 1. Milwaukee Brewers vs. Washington Nationals
- **Polymarket** (End: May 8, 2026): Vol $34.8K
  DATA: [Milwaukee Brewers: 59.5% (0.0%)] | [Washington Nationals: 40.5% (0.0%)]

### 2. Will there be a run scored in the first inning?: Milwaukee Brewers vs. Washington Nationals
- **Polymarket** (End: May 8, 2026): Vol $486
  DATA: [Yes: 48.5% (0.0%)] | [No: 51.5% (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