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GroupPOLYMARKET

Event GroupPOLYMARKETSports

Mobile Legends Bang Bang: Geek Fam ID vs EVOS (BO3) - MPL Indonesia Regular Season

Name: Mobile Legends Bang Bang: Geek Fam ID vs EVOS (BO3) - MPL Indonesia Regular Season
End: 2026-05-03T19:15:00.000Z

Total Volume

$18.49K

Events

Markets

Trade on Polymarket

Mobile Legends Bang Bang: Geek Fam ID vs EVOS (BO3) - MPL Indonesia Regular Season

Vol

$18.49K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $18.49K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $18.49K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

5 markets tracked

Mobile Legends Bang Bang: Geek Fam ID vs EVOS - Game 1 Winner

No data available

Single-Platform Markets(5)

Market	Platform	Price
Mobile Legends Bang Bang: Geek Fam ID vs EVOS - Game 1 Winner	Poly	51%
Mobile Legends Bang Bang: Geek Fam ID vs EVOS - Game 2 Winner	Poly	51%
Games Total: Over/Under 2.5	Poly	50%
Game Handicap: EVOS (-1.5) vs Geek Fam ID (+1.5)	Poly	50%
Mobile Legends Bang Bang: Geek Fam ID vs EVOS (BO3) - MPL Indonesia Regular Season	Poly	43%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

51%

Top Probability

$18.49K

Volume

Markets

Platforms

About This Event

This market refers to the Mobile Legends Bang Bang match between Geek Fam ID and EVOS in the MPL Indonesia Regular Season, initially scheduled for May 3 at 9:15AM ET. This market will resolve to "Geek Fam ID" if Geek Fam ID win the match against EVOS. This market will resolve to "EVOS" if EVOS win the match against Geek Fam ID. 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 market will resolve

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:** Mobile Legends Bang Bang: Geek Fam ID vs EVOS (BO3) - MPL Indonesia Regular Season
**Category:** Sports | **Status:** active
**Resolution Date:** May 3, 2026 (Ended)
**Time Pressure:** Expired

**Description:** This market refers to the Mobile Legends Bang Bang match between Geek Fam ID and EVOS in the MPL Indonesia Regular Season, initially scheduled for May 3 at 9:15AM ET.

This market will resolve to "Geek Fam ID" if Geek Fam ID win the match against EVOS.

This market will resolve to "EVOS" if EVOS win the match against Geek Fam ID.

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 market will resolve 

**Resolution Criteria (Sample):**
"This market refers to the Mobile Legends Bang Bang match between Geek Fam ID and EVOS in the MPL Indonesia Regular Season, initially scheduled for May 3 at 9:15AM ET.

This market will resolve to "Geek Fam ID" if Geek Fam ID win the match against EVOS.

This market will resolve to "EVOS" if EVOS win"

## 2. Market liquidity & Volume
* **Total Volume:** $18.5K
* **Total Liquidity:** $1.7K
* **Activity Level:** High Turnover (Vol/Liq Ratio: 11.00)

## 3. Market Data (Prices & Odds)
### 1. Mobile Legends Bang Bang: Geek Fam ID vs EVOS (BO3) - MPL Indonesia Regular Season
- **Polymarket** (End: May 3, 2026): Vol $21
  DATA: [Geek Fam ID: 42.5% (0.0%)] | [EVOS: 57.5% (0.0%)]

### 2. Mobile Legends Bang Bang: Geek Fam ID vs EVOS - Game 1 Winner
- **Polymarket** (End: May 3, 2026): Vol $0
  DATA: [Geek Fam ID: 51.0% (0.0%)] | [EVOS: 49.0% (0.0%)]

### 3. Mobile Legends Bang Bang: Geek Fam ID vs EVOS - Game 2 Winner
- **Polymarket** (End: May 3, 2026): Vol $0
  DATA: [Geek Fam ID: 51.0% (0.0%)] | [EVOS: 49.0% (0.0%)]

### 4. Games Total: Over/Under 2.5
- **Polymarket** (End: May 3, 2026): Vol $0
  DATA: [Over: 50.0% (0.0%)] | [Under: 50.0% (0.0%)]

### 5. Game Handicap: EVOS (-1.5) vs Geek Fam ID (+1.5)
- **Polymarket** (End: May 3, 2026): Vol $18.5K
  DATA: [EVOS: 50.0% (0.0%)] | [Geek Fam ID: 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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