Market snapshot: Oct 13, 2026, 3:00 AM UTC. Prices may have changed since this snapshot.

GroupKALSHI

Event GroupKALSHISports

Havelse vs Wurzburg: BTTS

Total Volume

$76.20

Events

Markets

Trade on Kalshi

Havelse vs Wurzburg: BTTS

Vol

$76.20

Events

Markets

Kalshi

Platform StatsQuick Platform Comparison

Polymarket

markets · $0.00

Kalshi

markets · $76.20

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $76.20

100%

Kalshi leads

Price ChartMatched Markets Price Graph

1 market tracked

Historical observations can differ from current quotes. Kalshi points are hourly trade averages.

Both Teams To Score

No data available

Single-Platform Markets(1)

Market	Platform	Price
Both Teams To Score	Kalshi	63%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

63%

Top Probability

$76.20

Volume

Markets

Platforms

About This Event

HAV vs WUR (Oct 13) If Havelse and Wurzburg both score a goal in the Havelse vs Wurzburg German 3. Liga match originally scheduled for Oct 13, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes. Own goals count towards the team awarded the goal. Kalshi is not affiliated, associated, authorized, endorsed by, or in any way officially connected with the Governing League. All trademarks, logos, and brand names are the property of th

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:** Tuesday, October 13, 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:** Havelse vs Wurzburg: BTTS
**Category:** Sports | **Status:** active
**Resolution Date:** N/A (Unknown)
**Time Pressure:** Unknown

**Description:** HAV vs WUR (Oct 13)

If Havelse and Wurzburg both score a goal in the Havelse vs Wurzburg German 3. Liga match originally scheduled for Oct 13, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes. Own goals count towards the team awarded the goal.

Kalshi is not affiliated, associated, authorized, endorsed by, or in any way officially connected with the Governing League. All trademarks, logos, and brand names are the property of th

**Resolution Criteria (Sample):**
"If Havelse and Wurzburg both score a goal in the Havelse vs Wurzburg German 3. Liga match originally scheduled for Oct 13, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes. Secondary rules: Own goals count towards the team awarded t"

## 2. Market liquidity & Volume
* **Total Volume:** $76
* **Total Liquidity:** $0
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Both Teams To Score
- **Kalshi** (End: Oct 15, 2026): Vol $76
  DATA: [Yes: 63.0% (0.0%)] | [No: 37.0% (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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AI-written background. References identify the evidence used; Wikipedia links under Learn More are additional reading. Prices and provider rules are dated snapshots. This is not financial advice.

KALSHISports