GroupPOLYMARKET

Event GroupPOLYMARKETSports

LoL: T1 vs DN SOOPers (BO5) - KeSPA Cup Playoffs

Name: LoL: T1 vs DN SOOPers (BO5) - KeSPA Cup Playoffs
End: 2026-08-17T15:15:00.000Z

Total Volume

$6.30M

Events

Markets

Trade on Polymarket

LoL: T1 vs DN SOOPers (BO5) - KeSPA Cup Playoffs

Vol

$6.30M

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $6.30M

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $6.30M

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

Game 1: Any Player Quadra Kill?

No data available

Single-Platform Markets(1)

Market	Platform	Price
Game 1: Any Player Quadra Kill?	Poly	50%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

50%

Top Probability

$6.30M

Volume

Markets

Platforms

About This Event

This market refers to the LoL Semifinal match between T1 and DN SOOPers in the KeSPA Cup Playoffs, initially scheduled for August 17, 2026 at 5:00 AM ET. This market will resolve to "T1" if T1 win the match against DN SOOPers. This market will resolve to "DN SOOPers" if DN SOOPers win the match against T1. 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, the 7-day (168-hour) delay period will be measured from the ori

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%).

---

## 1. Event Snapshot
**Event:** LoL: T1 vs DN SOOPers (BO5) - KeSPA Cup Playoffs
**Category:** Sports | **Status:** active
**Resolution Date:** Aug 17, 2026 (Ended)
**Time Pressure:** Expired

**Description:** This market refers to the LoL Semifinal match between T1 and DN SOOPers in the KeSPA Cup Playoffs, initially scheduled for August 17, 2026 at 5:00 AM ET.

This market will resolve to "T1" if T1 win the match against DN SOOPers.

This market will resolve to "DN SOOPers" if DN SOOPers win the match against T1.

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, the 7-day (168-hour) delay period will be measured from the ori

**Resolution Criteria (Sample):**
"This market is about whether any player achieves a Quadra Kill during Game 1. In League of Legends, a Quadra Kill occurs when a single player kills 4 enemy champions in rapid succession.

This market will resolve to "Yes" if any player on either team achieves a Quadra Kill during Game 1. This market"

## 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: Any Player Quadra Kill?
- **Polymarket** (End: Aug 17, 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.

POLYMARKETSports