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

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Manchester City FC vs. Paris Saint-Germain FC - First Team to Score

Name: Manchester City FC vs. Paris Saint-Germain FC - First Team to Score
End: 2026-10-14T19:00:00.000Z

Total Volume

$0.00

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Manchester City FC vs. Paris Saint-Germain 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

Manchester City FC to score first vs. Paris Saint-Germain FC?

No data available

Single-Platform Markets(3)

Market	Platform	Price
Manchester City FC to score first vs. Paris Saint-Germain FC?	Poly	53%
Paris Saint-Germain FC to score first vs. Manchester City FC?	Poly	43%
Manchester City FC vs. Paris Saint-Germain FC: Neither team to score first?	Poly	4%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

53%

Top Probability

$0.00

Volume

Markets

Platforms

About This Event

In the upcoming match between Manchester City FC and Paris Saint-Germain FC, scheduled for October 14, 2026 at 3:00 PM ET: This market will resolve to "Manchester City FC" if Manchester City FC are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "Paris Saint-Germain FC" if Paris Saint-Germain 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

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

Custom AI Analysis Prompt

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**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:** Manchester City FC vs. Paris Saint-Germain FC - First Team to Score
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 14, 2026 (3 days left)
**Time Pressure:** High

**Description:** In the upcoming match between Manchester City FC and Paris Saint-Germain FC, scheduled for October 14, 2026 at 3:00 PM ET: This market will resolve to "Manchester City FC" if Manchester City FC are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "Paris Saint-Germain FC" if Paris Saint-Germain 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

**Resolution Criteria (Sample):**
"In the upcoming match between Manchester City FC and Paris Saint-Germain FC, scheduled for October 14, 2026 at 3:00 PM ET: This market will resolve to "Manchester City FC" if Manchester City FC are the first to score within the first 90 minutes of regular play plus stoppage time. This market will re"

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $67.5K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Manchester City FC to score first vs. Paris Saint-Germain FC?
- **Polymarket** (End: Oct 14, 2026): Vol $0
  DATA: [Yes: 52.5% (0.0%)] | [No: 47.5% (0.0%)]

### 2. Paris Saint-Germain FC to score first vs. Manchester City FC?
- **Polymarket** (End: Oct 14, 2026): Vol $0
  DATA: [Yes: 43.0% (0.0%)] | [No: 57.0% (0.0%)]

### 3. Manchester City FC vs. Paris Saint-Germain FC: Neither team to score first?
- **Polymarket** (End: Oct 14, 2026): Vol $0
  DATA: [Yes: 3.6% (0.0%)] | [No: 96.4% (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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