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

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Falkenbergs FF vs. Landskrona BoIS - First Team to Score

Name: Falkenbergs FF vs. Landskrona BoIS - First Team to Score
End: 2026-10-17T13:00:00.000Z

Total Volume

$0.00

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Falkenbergs FF vs. Landskrona BoIS - First Team to Score

Vol

$0.00

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Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Price ChartMatched Markets Price Graph

3 markets tracked

Falkenbergs FF to score first vs. Landskrona BoIS?

No data available

Single-Platform Markets(3)

Market	Platform	Price
Falkenbergs FF to score first vs. Landskrona BoIS?	Poly	49%
Landskrona BoIS to score first vs. Falkenbergs FF?	Poly	49%
Falkenbergs FF vs. Landskrona BoIS: Neither team to score first?	Poly	49%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

49%

Top Probability

$0.00

Volume

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About This Event

In the upcoming match between Falkenbergs FF and Landskrona BoIS, scheduled for October 17, 2026 at 9:00 AM ET: This market will resolve to "Falkenbergs FF" if Falkenbergs FF are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "Landskrona BoIS" if Landskrona BoIS 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,

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:** Falkenbergs FF vs. Landskrona BoIS - 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 Falkenbergs FF and Landskrona BoIS, scheduled for October 17, 2026 at 9:00 AM ET: This market will resolve to "Falkenbergs FF" if Falkenbergs FF are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "Landskrona BoIS" if Landskrona BoIS 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,

**Resolution Criteria (Sample):**
"In the upcoming match between Falkenbergs FF and Landskrona BoIS, scheduled for October 17, 2026 at 9:00 AM ET: This market will resolve to "Falkenbergs FF" if Falkenbergs FF are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "Landskron"

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $33
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Falkenbergs FF to score first vs. Landskrona BoIS?
- **Polymarket** (End: Oct 17, 2026): Vol $0
  DATA: [Yes: 49.0% (0.0%)] | [No: 51.0% (0.0%)]

### 2. Landskrona BoIS to score first vs. Falkenbergs FF?
- **Polymarket** (End: Oct 17, 2026): Vol $0
  DATA: [Yes: 49.0% (0.0%)] | [No: 51.0% (0.0%)]

### 3. Falkenbergs FF vs. Landskrona BoIS: Neither team to score first?
- **Polymarket** (End: Oct 17, 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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