Market snapshot: Oct 15, 2026, 6:00 AM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETSports

NL: Bern vs. SCL Tigers

Name: NL: Bern vs. SCL Tigers
End: 2026-10-20T17:45:00.000Z

Total Volume

$0.00

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NL: Bern vs. SCL Tigers

Vol

$0.00

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $0.00

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Price gaps

of 0 cross-platform

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

Price ChartMatched Markets Price Graph

1 market tracked

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

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

NL: Bern vs. SCL Tigers

No data available

Single-Platform Markets(1)

Market	Platform	Price
NL: Bern vs. SCL Tigers	Kalshi	—

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

50%

Top Probability

$0.00

Volume

Markets

Platforms

About This Event

In the upcoming NL game, scheduled for October 20 at 1:45PM ET: If Bern win, the market will resolve to "Bern". If SCL Tigers win, the market will resolve to "SCL Tigers". If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50. The result will be determined based on the final score including any overtime periods and shootouts. In the event of a shootout, one goal will be adde

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:** Thursday, October 15, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** NL: Bern vs. SCL Tigers
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 20, 2026 (6 days left)
**Time Pressure:** High

**Description:** In the upcoming NL game, scheduled for October 20 at 1:45PM ET:
If Bern win, the market will resolve to "Bern".
If SCL Tigers win, the market will resolve to "SCL Tigers".
If the game is postponed, this market will remain open until the game has been completed.
If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
The result will be determined based on the final score including any overtime periods and shootouts. In the event of a shootout, one goal will be adde

**Resolution Criteria (Sample):**
"In the upcoming NL game, scheduled for 2026-10-20:
If Bern win, the market will resolve to "Bern".
If SCL Tigers win, the market will resolve to "SCL Tigers".
If the game is postponed, this market will remain open until the game has been completed.
If the game is canceled entirely, with no make-up g"

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $36
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. NL: Bern vs. SCL Tigers
- **Polymarket** (End: Oct 20, 2026): Vol $0
  DATA: [Bern: 50.0% (0.0%)] | [SCL Tigers: 50.0% (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.

POLYMARKETSports