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

GroupPOLYMARKET

Event GroupPOLYMARKETSports

FC Augsburg vs. 1. FC Union Berlin - Second Half Result

Name: FC Augsburg vs. 1. FC Union Berlin - Second Half Result
End: 2026-10-24T13:30:00.000Z

Total Volume

$0.00

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FC Augsburg vs. 1. FC Union Berlin - Second Half Result

Vol

$0.00

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Markets

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markets · $0.00

Kalshi

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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

FC Augsburg to win the second half?

No data available

Single-Platform Markets(3)

Market	Platform	Price
FC Augsburg to win the second half?	Poly	49%
1. FC Union Berlin to win the second half?	Poly	49%
FC Augsburg vs. 1. FC Union Berlin: Second half draw?	Poly	34%

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 Bundesliga game between FC Augsburg and 1. FC Union Berlin, scheduled for October 24, 2026 at 9:30 AM ET: This market will resolve to "FC Augsburg" if FC Augsburg score more goals than 1. FC Union Berlin in the second half of regular play plus second-half stoppage time. This market will resolve to "Draw" if FC Augsburg and 1. FC Union Berlin score the same number of goals in the second half of regular play plus second-half stoppage time. This market will resolve to "1. FC Union B

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:** FC Augsburg vs. 1. FC Union Berlin - Second Half Result
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 24, 2026 (13 days left)
**Time Pressure:** Medium

**Description:** In the upcoming Bundesliga game between FC Augsburg and 1. FC Union Berlin, scheduled for October 24, 2026 at 9:30 AM ET: This market will resolve to "FC Augsburg" if FC Augsburg score more goals than 1. FC Union Berlin in the second half of regular play plus second-half stoppage time. This market will resolve to "Draw" if FC Augsburg and 1. FC Union Berlin score the same number of goals in the second half of regular play plus second-half stoppage time. This market will resolve to "1. FC Union B

**Resolution Criteria (Sample):**
"In the upcoming Bundesliga game between FC Augsburg and 1. FC Union Berlin, scheduled for October 24, 2026 at 9:30 AM ET: This market will resolve to "FC Augsburg" if FC Augsburg score more goals than 1. FC Union Berlin in the second half of regular play plus second-half stoppage time. This market w"

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $160
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. FC Augsburg to win the second half?
- **Polymarket** (End: Oct 24, 2026): Vol $0
  DATA: [Yes: 49.0% (0.0%)] | [No: 51.0% (0.0%)]

### 2. FC Augsburg vs. 1. FC Union Berlin: Second half draw?
- **Polymarket** (End: Oct 24, 2026): Vol $0
  DATA: [Yes: 34.0% (0.0%)] | [No: 66.0% (0.0%)]

### 3. 1. FC Union Berlin to win the second half?
- **Polymarket** (End: Oct 24, 2026): Vol $0
  DATA: [Yes: 48.5% (0.0%)] | [No: 51.5% (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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