GroupPOLYMARKET

Event GroupPOLYMARKETSports

Legends Cricket League: Southern Super Stars vs India Tigers

Name: Legends Cricket League: Southern Super Stars vs India Tigers
End: 2026-03-29T04:30:00.000Z

Total Volume

$7.93K

Events

Markets

Trade on Polymarket

Legends Cricket League: Southern Super Stars vs India Tigers

Vol

$7.93K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $7.93K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $7.93K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

2 markets tracked

Legends Cricket League: Southern Super Stars vs India Tigers

No data available

Single-Platform Markets(2)

Market	Platform	Price
Legends Cricket League: Southern Super Stars vs India Tigers	Poly	50%
Legends Cricket League: Southern Super Stars vs India Tigers - Completed match?	Poly	50%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

50%

Top Probability

$7.93K

Volume

Markets

Platforms

About This Event

This market refers to the cricket match between Southern Super Stars and India Tigers scheduled for March 22 2026 in Legends Cricket League. DLS/DRS, over-rate penalties, forfeit/walkover, or any other on-field ruling that leads the competition to declare a winner are treated as ordinary wins. If the match ends tied and the playing conditions provide an on-field tiebreak (e.g., Super Over), the winner determined by that tiebreak will be used for resolution. If the match ends tied and no on-fie

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:** Sunday, September 6, 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:** Legends Cricket League: Southern Super Stars vs India Tigers
**Category:** Sports | **Status:** active
**Resolution Date:** Mar 29, 2026 (Ended)
**Time Pressure:** Expired

**Description:** This market refers to the cricket match between Southern Super Stars and India Tigers scheduled for March 22 2026 in Legends Cricket League.

DLS/DRS, over-rate penalties, forfeit/walkover, or any other on-field ruling that leads the competition to declare a winner are treated as ordinary wins.

If the match ends tied and the playing conditions provide an on-field tiebreak (e.g., Super Over), the winner determined by that tiebreak will be used for resolution. If the match ends tied and no on-fie

## 2. Market liquidity & Volume
* **Total Volume:** $7.9K
* **Total Liquidity:** $0
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Legends Cricket League: Southern Super Stars vs India Tigers
- **Polymarket** (End: Mar 29, 2026): Vol $7.9K
  DATA: [Southern Super Stars: 50.0% (0.0%)] | [India Tigers: 50.0% (0.0%)]

### 2. Legends Cricket League: Southern Super Stars vs India Tigers - Completed match?
- **Polymarket** (End: Mar 29, 2026): Vol $0
  DATA: [Yes: 50.0% (0.0%)] | [No: 50.0% (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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