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GroupPOLYMARKET

Event GroupPOLYMARKETSports

KBO: Lotte Giants vs. SSG Landers

Name: KBO: Lotte Giants vs. SSG Landers
End: 2026-05-09T05:00:00.000Z

Total Volume

$767.02

Events

Markets

Trade on Polymarket

KBO: Lotte Giants vs. SSG Landers

Vol

$767.02

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $767.02

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $767.02

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

KBO: Lotte Giants vs. SSG Landers

No data available

Single-Platform Markets(1)

Market	Platform	Price
KBO: Lotte Giants vs. SSG Landers	Poly	41%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

41%

Top Probability

$767.02

Volume

Markets

Platforms

About This Event

This is a market on the KBO baseball game between Lotte Giants and SSG Landers, scheduled for May 2 at 1:00AM ET. This market will resolve to "Lotte Giants" if the Lotte Giants win the game. This market will resolve to "SSG Landers" if the SSG Landers 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 resolution source will

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:** KBO: Lotte Giants vs. SSG Landers
**Category:** Sports | **Status:** active
**Resolution Date:** May 9, 2026 (Ended)
**Time Pressure:** Expired

**Description:** This is a market on the KBO baseball game between Lotte Giants and SSG Landers, scheduled for May 2 at 1:00AM ET.

This market will resolve to "Lotte Giants" if the Lotte Giants win the game.

This market will resolve to "SSG Landers" if the SSG Landers 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 resolution source will

**Resolution Criteria (Sample):**
"This is a market on the KBO baseball game between Lotte Giants and SSG Landers, scheduled for May 2 at 1:00AM ET.

This market will resolve to "Lotte Giants" if the Lotte Giants win the game.

This market will resolve to "SSG Landers" if the SSG Landers win the game.

If the game is postponed, this "

## 2. Market liquidity & Volume
* **Total Volume:** $767
* **Total Liquidity:** $1.3K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.59)

## 3. Market Data (Prices & Odds)
### 1. KBO: Lotte Giants vs. SSG Landers
- **Polymarket** (End: May 9, 2026): Vol $767
  DATA: [Lotte Giants: 40.5% (0.0%)] | [SSG Landers: 59.5% (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