Market snapshot: Oct 12, 2026, 12:00 AM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETSports

LoL: TLN Pirates vs Anubis Gaming (BO3) - EMEA Masters Swiss Stage

Name: LoL: TLN Pirates vs Anubis Gaming (BO3) - EMEA Masters Swiss Stage
End: 2026-09-30T00:00:00.000Z

Total Volume

$224.06K

Events

Markets

Trade on Polymarket

LoL: TLN Pirates vs Anubis Gaming (BO3) - EMEA Masters Swiss Stage

Vol

$224.06K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $224.06K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $224.06K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

Game 1: Both Teams Destroy Inhibitors?

No data available

Single-Platform Markets(1)

Market	Platform	Price
Game 1: Both Teams Destroy Inhibitors?	Poly	50%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

50%

Top Probability

$224.06K

Volume

Markets

Platforms

About This Event

This market refers to the LoL Round 4 match between TLN Pirates and Anubis Gaming in the EMEA Masters Swiss Stage, initially scheduled for September 29, 2026 at 2:00 PM ET. This market will resolve to "TLN Pirates" if TLN Pirates win the match against Anubis Gaming. This market will resolve to "Anubis Gaming" if Anubis Gaming win the match against TLN Pirates. If the match is canceled (not played at all) or ends in a tie, this market will resolve to 50-50. If the match is postponed, it must

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:** Monday, October 12, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** LoL: TLN Pirates vs Anubis Gaming (BO3) - EMEA Masters Swiss Stage
**Category:** Sports | **Status:** active
**Resolution Date:** Sep 30, 2026 (Ended)
**Time Pressure:** Expired

**Description:** This market refers to the LoL Round 4 match between TLN Pirates and Anubis Gaming in the EMEA Masters Swiss Stage, initially scheduled for September 29, 2026 at 2:00 PM ET.

This market will resolve to "TLN Pirates" if TLN Pirates win the match against Anubis Gaming.

This market will resolve to "Anubis Gaming" if Anubis Gaming win the match against TLN Pirates.

If the match is canceled (not played at all) or ends in a tie, this market will resolve to 50-50.

If the match is postponed, it must 

**Resolution Criteria (Sample):**
"This market is about whether both teams destroy at least one enemy inhibitor during Game 1. In League of Legends, each team has three inhibitors (one in each lane), located behind the inner turrets.

This market will resolve to "Yes" if both TLN Pirates and Anubis Gaming each destroy at least one en"

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

## 3. Market Data (Prices & Odds)
### 1. Game 1: Both Teams Destroy Inhibitors?
- **Polymarket** (End: Sep 30, 2026): Vol $0
  DATA: [Yes: 50.0% (0.0%)] | [No: 50.0% (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.

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