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

GroupPOLYMARKET

Event GroupPOLYMARKETSports

SC Freiburg vs. FK Jablonec - First Team to Score

Name: SC Freiburg vs. FK Jablonec - First Team to Score
End: 2026-10-15T19:00:00.000Z

Total Volume

$0.00

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SC Freiburg vs. FK Jablonec - First Team to Score

Vol

$0.00

Events

Markets

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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

SC Freiburg to score first vs. FK Jablonec?

No data available

Single-Platform Markets(3)

Market	Platform	Price
SC Freiburg to score first vs. FK Jablonec?	Poly	50%
FK Jablonec to score first vs. SC Freiburg?	Poly	50%
SC Freiburg vs. FK Jablonec: 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 SC Freiburg and FK Jablonec, scheduled for October 15, 2026 at 3:00 PM ET: This market will resolve to "SC Freiburg" if SC Freiburg are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "FK Jablonec" if FK Jablonec 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 time, this market will res

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:** SC Freiburg vs. FK Jablonec - First Team to Score
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 15, 2026 (4 days left)
**Time Pressure:** High

**Description:** In the upcoming match between SC Freiburg and FK Jablonec, scheduled for October 15, 2026 at 3:00 PM ET: This market will resolve to "SC Freiburg" if SC Freiburg are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "FK Jablonec" if FK Jablonec 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 time, this market will res

**Resolution Criteria (Sample):**
"In the upcoming match between SC Freiburg and FK Jablonec, scheduled for October 15, 2026 at 3:00 PM ET: This market will resolve to "SC Freiburg" if SC Freiburg are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "FK Jablonec" if FK Jab"

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $27
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. SC Freiburg to score first vs. FK Jablonec?
- **Polymarket** (End: Oct 15, 2026): Vol $0
  DATA: [Yes: 49.5% (0.0%)] | [No: 50.5% (0.0%)]

### 2. FK Jablonec to score first vs. SC Freiburg?
- **Polymarket** (End: Oct 15, 2026): Vol $0
  DATA: [Yes: 49.5% (0.0%)] | [No: 50.5% (0.0%)]

### 3. SC Freiburg vs. FK Jablonec: Neither team to score first?
- **Polymarket** (End: Oct 15, 2026): Vol $0
  DATA: [Yes: 49.5% (0.0%)] | [No: 50.5% (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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