Market snapshot: Oct 13, 2026, 9:10 AM UTC. Prices may have changed since this snapshot.

GroupKALSHI

Event GroupKALSHISports

Colorado vs Minnesota: Second Half BTTS

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Colorado vs Minnesota: Second Half BTTS

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1 market tracked

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Saved prices are comparisons, not executable quotes. A price difference does not establish arbitrage. Check both contracts, live order prices, fees and available size.

Both teams score in the 2nd Half?

No data available

Single-Platform Markets(1)

Market	Platform	Price
Both teams score in the 2nd Half?	Kalshi	50%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

50%

Top Probability

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About This Event

COL vs MIN (Oct 14) If Colorado and Minnesota both score a goal in the 2nd Half of the Colorado vs Minnesota MLS match originally scheduled for Oct 14, 2026, then the market resolves to Yes. Only goals scored during the 2nd Half count for the purposes of this market. Own goals count towards the team awarded the goal. This market will close and expire early if the event occurs.

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:** Colorado vs Minnesota: Second Half BTTS
**Category:** Sports | **Status:** active
**Resolution Date:** N/A (Unknown)
**Time Pressure:** Unknown

**Description:** COL vs MIN (Oct 14)

If Colorado and Minnesota both score a goal in the 2nd Half of the Colorado vs Minnesota MLS match originally scheduled for Oct 14, 2026, then the market resolves to Yes. Only goals scored during the 2nd Half count for the purposes of this market. Own goals count towards the team awarded the goal. This market will close and expire early if the event occurs.

**Resolution Criteria (Sample):**
"If Colorado and Minnesota both score a goal in the 2nd Half of the Colorado vs Minnesota MLS match originally scheduled for Oct 14, 2026, then the market resolves to Yes. Secondary rules: Only goals scored during the 2nd Half count for the purposes of this market. Own goals count towards the team aw"

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

## 3. Market Data (Prices & Odds)
### 1. Both teams score in the 2nd Half?
- **Kalshi** (End: Oct 17, 2026): Vol $0
  DATA: [Yes: 50.0% (0.0%)] | [No: 50.0% (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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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