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

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Swindon Town FC vs. Walsall FC - Second Half Result

Name: Swindon Town FC vs. Walsall FC - Second Half Result
End: 2026-10-17T14:00:00.000Z

Total Volume

$0.00

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Swindon Town FC vs. Walsall FC - Second Half Result

Vol

$0.00

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markets · $0.00

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Price ChartMatched Markets Price Graph

3 markets tracked

Swindon Town FC to win the second half?

No data available

Single-Platform Markets(3)

Market	Platform	Price
Swindon Town FC to win the second half?	Poly	50%
Walsall FC to win the second half?	Poly	50%
Swindon Town FC vs. Walsall FC: Second half draw?	Poly	41%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

50%

Top Probability

$0.00

Volume

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About This Event

In the upcoming League Two game between Swindon Town FC and Walsall FC, scheduled for October 17, 2026 at 10:00 AM ET: This market will resolve to "Swindon Town FC" if Swindon Town FC score more goals than Walsall FC in the second half of regular play plus second-half stoppage time. This market will resolve to "Draw" if Swindon Town FC and Walsall FC score the same number of goals in the second half of regular play plus second-half stoppage time. This market will resolve to "Walsall FC" if Walsa

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:** Swindon Town FC vs. Walsall FC - Second Half Result
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 17, 2026 (6 days left)
**Time Pressure:** High

**Description:** In the upcoming League Two game between Swindon Town FC and Walsall FC, scheduled for October 17, 2026 at 10:00 AM ET: This market will resolve to "Swindon Town FC" if Swindon Town FC score more goals than Walsall FC in the second half of regular play plus second-half stoppage time. This market will resolve to "Draw" if Swindon Town FC and Walsall FC score the same number of goals in the second half of regular play plus second-half stoppage time. This market will resolve to "Walsall FC" if Walsa

**Resolution Criteria (Sample):**
"In the upcoming League Two game between Swindon Town FC and Walsall FC, scheduled for October 17, 2026 at 10:00 AM ET: This market will resolve to "Swindon Town FC" if Swindon Town FC score more goals than Walsall FC in the second half of regular play plus second-half stoppage time. This market will"

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $1.3K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Swindon Town FC to win the second half?
- **Polymarket** (End: Oct 17, 2026): Vol $0
  DATA: [Yes: 50.0% (0.0%)] | [No: 50.0% (0.0%)]

### 2. Swindon Town FC vs. Walsall FC: Second half draw?
- **Polymarket** (End: Oct 17, 2026): Vol $0
  DATA: [Yes: 41.0% (0.0%)] | [No: 59.0% (0.0%)]

### 3. Walsall FC to win the second half?
- **Polymarket** (End: Oct 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