Market snapshot: Oct 13, 2026, 12:00 AM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETSports

MODUS Super Series: Sander van Ockenburg-Zwaan vs Ashley Coleman

Name: MODUS Super Series: Sander van Ockenburg-Zwaan vs Ashley Coleman
End: 2026-10-20T12:10:00.000Z

Total Volume

$6.00

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MODUS Super Series: Sander van Ockenburg-Zwaan vs Ashley Coleman

Vol

$6.00

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $6.00

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $6.00

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

Historical observations can differ from current quotes. Kalshi points are hourly trade averages.

MODUS Super Series: Sander van Ockenburg-Zwaan vs Ashley Coleman

No data available

Single-Platform Markets(1)

Market	Platform	Price
MODUS Super Series: Sander van Ockenburg-Zwaan vs Ashley Coleman	Poly	17%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

17%

Top Probability

$6.00

Volume

Markets

Platforms

About This Event

This market refers to the darts match between Sander van Ockenburg-Zwaan and Ashley Coleman in the MODUS Super Series, originally scheduled for October 13 at 8:10AM ET. This market will resolve to 'Sander van Ockenburg-Zwaan' if Sander van Ockenburg-Zwaan wins against Ashley Coleman. This market will resolve to 'Ashley Coleman' if Ashley Coleman wins against Sander van Ockenburg-Zwaan. If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the scheduled d

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:** Tuesday, October 13, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** MODUS Super Series: Sander van Ockenburg-Zwaan vs Ashley Coleman
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 20, 2026 (8 days left)
**Time Pressure:** Medium

**Description:** This market refers to the darts match between Sander van Ockenburg-Zwaan and Ashley Coleman in the MODUS Super Series, originally scheduled for October 13 at 8:10AM ET.

This market will resolve to 'Sander van Ockenburg-Zwaan' if Sander van Ockenburg-Zwaan wins against Ashley Coleman. This market will resolve to 'Ashley Coleman' if Ashley Coleman wins against Sander van Ockenburg-Zwaan.

If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the scheduled d

**Resolution Criteria (Sample):**
"This market refers to the darts match between Sander van Ockenburg-Zwaan and Ashley Coleman in the MODUS Super Series, originally scheduled for October 13 at 8:10AM ET.

This market will resolve to 'Sander van Ockenburg-Zwaan' if Sander van Ockenburg-Zwaan wins against Ashley Coleman. This market wi"

## 2. Market liquidity & Volume
* **Total Volume:** $6
* **Total Liquidity:** $474
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.01)

## 3. Market Data (Prices & Odds)
### 1. MODUS Super Series: Sander van Ockenburg-Zwaan vs Ashley Coleman
- **Polymarket** (End: Oct 20, 2026): Vol $6
  DATA: [Sander van Ockenburg-Zwaan: 16.5% (0.0%)] | [Ashley Coleman: 83.5% (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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AI-written background. References identify the evidence used; Wikipedia links under Learn More are additional reading. Prices and provider rules are dated snapshots. This is not financial advice.

POLYMARKETSports