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

GroupPOLYMARKET

Event GroupPOLYMARKETSports

MODUS Super Series: Ashley Coleman vs Jack Tweddell

Name: MODUS Super Series: Ashley Coleman vs Jack Tweddell
End: 2026-10-19T12:10:00.000Z

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MODUS Super Series: Ashley Coleman vs Jack Tweddell

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Price Spread

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1 market tracked

MODUS Super Series: Ashley Coleman vs Jack Tweddell

No data available

Single-Platform Markets(1)

Market	Platform	Price
MODUS Super Series: Ashley Coleman vs Jack Tweddell	Poly	44%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

44%

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About This Event

This market refers to the darts match between Ashley Coleman and Jack Tweddell in the MODUS Super Series, originally scheduled for October 12 at 8:10AM ET. This market will resolve to 'Ashley Coleman' if Ashley Coleman wins against Jack Tweddell. This market will resolve to 'Jack Tweddell' if Jack Tweddell wins against Ashley Coleman. 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 re

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%).

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## 1. Event Snapshot
**Event:** MODUS Super Series: Ashley Coleman vs Jack Tweddell
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 19, 2026 (8 days left)
**Time Pressure:** Medium

**Description:** This market refers to the darts match between Ashley Coleman and Jack Tweddell in the MODUS Super Series, originally scheduled for October 12 at 8:10AM ET.

This market will resolve to 'Ashley Coleman' if Ashley Coleman wins against Jack Tweddell. This market will resolve to 'Jack Tweddell' if Jack Tweddell wins against Ashley Coleman.

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 re

**Resolution Criteria (Sample):**
"This market refers to the darts match between Ashley Coleman and Jack Tweddell in the MODUS Super Series, originally scheduled for October 12 at 8:10AM ET.

This market will resolve to 'Ashley Coleman' if Ashley Coleman wins against Jack Tweddell. This market will resolve to 'Jack Tweddell' if Jack "

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $445
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. MODUS Super Series: Ashley Coleman vs Jack Tweddell
- **Polymarket** (End: Oct 19, 2026): Vol $0
  DATA: [Ashley Coleman: 43.5% (0.0%)] | [Jack Tweddell: 56.5% (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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Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.

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