Market snapshot: Oct 12, 2026, 3:00 AM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Cardiff City FC vs. Birmingham City FC - First Team to Score

Name: Cardiff City FC vs. Birmingham City FC - First Team to Score
End: 2026-10-24T14:00:00.000Z

Total Volume

$0.00

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Markets

Trade on Polymarket

Cardiff City FC vs. Birmingham City FC - First Team to Score

Vol

$0.00

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

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

Cardiff City FC to score first vs. Birmingham City FC?

No data available

Single-Platform Markets(3)

Market	Platform	Price
Cardiff City FC to score first vs. Birmingham City FC?	Poly	49%
Birmingham City FC to score first vs. Cardiff City FC?	Poly	49%
Cardiff City FC vs. Birmingham City FC: Neither team to score first?	Poly	49%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

49%

Top Probability

$0.00

Volume

Markets

Platforms

About This Event

In the upcoming match between Cardiff City FC and Birmingham City FC, scheduled for October 24, 2026 at 10:00 AM ET: This market will resolve to "Cardiff City FC" if Cardiff City FC are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "Birmingham City FC" if Birmingham City FC are the first to score within the first 90 minutes of regular play plus stoppage time. If neither team scores within the first 90 minutes of regular play plus s

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:** Monday, October 12, 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:** Cardiff City FC vs. Birmingham City FC - First Team to Score
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 24, 2026 (13 days left)
**Time Pressure:** Medium

**Description:** In the upcoming match between Cardiff City FC and Birmingham City FC, scheduled for October 24, 2026 at 10:00 AM ET: This market will resolve to "Cardiff City FC" if Cardiff City FC are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "Birmingham City FC" if Birmingham City FC are the first to score within the first 90 minutes of regular play plus stoppage time. If neither team scores within the first 90 minutes of regular play plus s

**Resolution Criteria (Sample):**
"In the upcoming match between Cardiff City FC and Birmingham City FC, scheduled for October 24, 2026 at 10:00 AM ET: This market will resolve to "Cardiff City FC" if Cardiff City FC are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "Bi"

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $25
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Cardiff City FC to score first vs. Birmingham City FC?
- **Polymarket** (End: Oct 24, 2026): Vol $0
  DATA: [Yes: 49.0% (0.0%)] | [No: 51.0% (0.0%)]

### 2. Birmingham City FC to score first vs. Cardiff City FC?
- **Polymarket** (End: Oct 24, 2026): Vol $0
  DATA: [Yes: 49.0% (0.0%)] | [No: 51.0% (0.0%)]

### 3. Cardiff City FC vs. Birmingham City FC: Neither team to score first?
- **Polymarket** (End: Oct 24, 2026): Vol $0
  DATA: [Yes: 49.0% (0.0%)] | [No: 51.0% (0.0%)]

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## 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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