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

GroupPOLYMARKET

Event GroupPOLYMARKETSports

CD Guadalajara vs. Tigres de la UANL - First Team to Score

Name: CD Guadalajara vs. Tigres de la UANL - First Team to Score
End: 2026-10-17T23:07:00.000Z

Total Volume

$0.00

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CD Guadalajara vs. Tigres de la UANL - First Team to Score

Vol

$0.00

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Price Spread

0.0%avg

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Arbitrage

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Price ChartMatched Markets Price Graph

3 markets tracked

CD Guadalajara to score first vs. Tigres de la UANL?

No data available

Single-Platform Markets(3)

Market	Platform	Price
CD Guadalajara to score first vs. Tigres de la UANL?	Poly	50%
Tigres de la UANL to score first vs. CD Guadalajara?	Poly	50%
CD Guadalajara vs. Tigres de la UANL: Neither team to score first?	Poly	50%

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 match between CD Guadalajara and Tigres de la UANL, scheduled for October 17, 2026 at 7:07 PM ET: This market will resolve to "CD Guadalajara" if CD Guadalajara are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "Tigres de la UANL" if Tigres de la UANL 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 stoppage

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:** 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:** CD Guadalajara vs. Tigres de la UANL - First Team to Score
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 17, 2026 (6 days left)
**Time Pressure:** High

**Description:** In the upcoming match between CD Guadalajara and Tigres de la UANL, scheduled for October 17, 2026 at 7:07 PM ET: This market will resolve to "CD Guadalajara" if CD Guadalajara are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "Tigres de la UANL" if Tigres de la UANL 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 stoppage

**Resolution Criteria (Sample):**
"In the upcoming match between CD Guadalajara and Tigres de la UANL, scheduled for October 17, 2026 at 7:07 PM ET: This market will resolve to "CD Guadalajara" if CD Guadalajara are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "Tigres "

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $30
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. CD Guadalajara to score first vs. Tigres de la UANL?
- **Polymarket** (End: Oct 17, 2026): Vol $0
  DATA: [Yes: 49.5% (0.0%)] | [No: 50.5% (0.0%)]

### 2. Tigres de la UANL to score first vs. CD Guadalajara?
- **Polymarket** (End: Oct 17, 2026): Vol $0
  DATA: [Yes: 49.5% (0.0%)] | [No: 50.5% (0.0%)]

### 3. CD Guadalajara vs. Tigres de la UANL: Neither team to score first?
- **Polymarket** (End: Oct 17, 2026): Vol $0
  DATA: [Yes: 49.5% (0.0%)] | [No: 50.5% (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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