Market snapshot: Oct 11, 2026, 9:47 PM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETSports

M15 Offenbach: Mac Visser vs Mats Egbring

Name: M15 Offenbach: Mac Visser vs Mats Egbring
End: 2026-10-18T09:00:00.000Z

Total Volume

$697.34

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Markets

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M15 Offenbach: Mac Visser vs Mats Egbring

Vol

$697.34

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $697.34

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $697.34

100%

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Price ChartMatched Markets Price Graph

2 markets tracked

M15 Offenbach: Mac Visser vs Mats Egbring

No data available

Single-Platform Markets(2)

Market	Platform	Price
M15 Offenbach: Mac Visser vs Mats Egbring	Poly	50%
Set Handicap: Mac Visser (-1.5) vs Mats Egbring (+1.5)	Poly	50%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

50%

Top Probability

$697.34

Volume

Markets

Platforms

About This Event

This market refers to the tennis match between Mac Visser and Mats Egbring in the M15 Offenbach, Qualifying, originally scheduled for October 11, 2026 at 5:00AM ET. This market will resolve to 'Mac Visser' if Mac Visser advances against Mats Egbring. This market will resolve to 'Mats Egbring' if Mats Egbring advances against Mac Visser. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 25, 2026, 11:59 PM ET (14 days after the scheduled

AI-generated analysis based on market data. Not financial advice.

Custom AI Analysis Prompt

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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, October 11, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** M15 Offenbach: Mac Visser vs Mats Egbring
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 18, 2026 (7 days left)
**Time Pressure:** Medium

**Description:** This market refers to the tennis match between Mac Visser and Mats Egbring in the M15 Offenbach, Qualifying, originally scheduled for October 11, 2026 at 5:00AM ET.

This market will resolve to 'Mac Visser' if Mac Visser advances against Mats Egbring.

This market will resolve to 'Mats Egbring' if Mats Egbring advances against Mac Visser.

If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 25, 2026, 11:59 PM ET (14 days after the scheduled

**Resolution Criteria (Sample):**
"This market refers to the tennis match between Mac Visser and Mats Egbring in the M15 Offenbach, Qualifying, originally scheduled for October 11, 2026 at 5:00AM ET.

This market will resolve to 'Mac Visser' if Mac Visser advances against Mats Egbring.

This market will resolve to 'Mats Egbring' if M"

## 2. Market liquidity & Volume
* **Total Volume:** $697
* **Total Liquidity:** $3
* **Activity Level:** Very High Turnover (Vol/Liq Ratio: 199.24)

## 3. Market Data (Prices & Odds)
### 1. M15 Offenbach: Mac Visser vs Mats Egbring
- **Polymarket** (End: Oct 18, 2026): Vol $697
  DATA: [Mac Visser: 50.2% (0.0%)] | [Mats Egbring: 49.8% (0.0%)]

### 2. Set Handicap: Mac Visser (-1.5) vs Mats Egbring (+1.5)
- **Polymarket** (End: Oct 18, 2026): Vol $0
  DATA: [Mac Visser: 50.0% (0.0%)] | [Mats Egbring: 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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