LoL: EKO Esports vs Colossal Gaming (BO1) - LIT Regular Season | PredictPedia

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LoL: EKO Esports vs Colossal Gaming (BO1) - LIT Regular Season

Name: LoL: EKO Esports vs Colossal Gaming (BO1) - LIT Regular Season
End: 2026-04-16T23:50:00.000Z

Total Volume

$37.93K

Events

Markets

Trade on Polymarket

LoL: EKO Esports vs Colossal Gaming (BO1) - LIT Regular Season

Platform StatsQuick Platform Comparison

Polymarket

markets · $37.93K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $37.93K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

Game 1: Odd/Even Total Kills?

No data available

Single-Platform Markets(1)

Market	Platform	Price
Game 1: Odd/Even Total Kills?	Poly	51%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

51%

Top Probability

$37.93K

Volume

Markets

Platforms

About This Event

This market refers to the LoL match between EKO Esports and Colossal Gaming in the LIT Regular Season, initially scheduled for April 16 at 2:00PM ET. This market will resolve to "EKO Esports" if EKO Esports win the match against Colossal Gaming. This market will resolve to "Colossal Gaming" if Colossal Gaming win the match against EKO Esports. If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the scheduled date without a winner determined, this mark

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:** Saturday, April 18, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** LoL: EKO Esports vs Colossal Gaming (BO1) - LIT Regular Season
**Category:** Sports | **Status:** active
**Resolution Date:** Apr 16, 2026 (Ended)
**Time Pressure:** Expired

**Description:** This market refers to the LoL match between EKO Esports and Colossal Gaming in the LIT Regular Season, initially scheduled for April 16 at 2:00PM ET.

This market will resolve to "EKO Esports" if EKO Esports win the match against Colossal Gaming.

This market will resolve to "Colossal Gaming" if Colossal Gaming win the match against EKO Esports.

If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the scheduled date without a winner determined, this mark

**Resolution Criteria (Sample):**
"This market will resolve to "Odd" if the total combined kills by both teams in Game 1 is an odd number.

This market will resolve to "Even" if the total combined kills by both teams in Game 1 is an even number.

"Total combined kills" includes all champion kills recorded during the match by both EKO"

## 2. Market liquidity & Volume
* **Total Volume:** $5
* **Total Liquidity:** $0
* **Activity Level:** Very High Turnover (Vol/Liq Ratio: 100.00)

## 3. Market Data (Prices & Odds)
### 1. Game 1: Odd/Even Total Kills?
- **Polymarket** (End: Apr 16, 2026): Vol $5
  DATA: [Odd: 50.5% (0.0%)] | [Even: 49.5% (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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Market Insights

Average Yes Price

51¢

Polymarket

Arbitrage Opps

Cross-Platform

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<iframe src="https://predictpedia.com/embed/mKYZQt" width="400" height="160" frameborder="0" style="border-radius: 8px; max-width: 100%;" title="LoL: EKO Esports vs Colossal Gaming (BO1) - LIT Regular Season"></iframe>

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LoL: EKO Esports vs Colossal Gaming (BO1) - LIT Regular Season

LoL: EKO Esports vs Colossal Gaming (BO1) - LIT Regular Season

Platform StatsQuick Platform Comparison

Price ChartMatched Markets Price Graph

Game 1: Odd/Even Total Kills?

AI Analysis

About This Event

Custom AI Analysis Prompt

Educational Context

Events (1)