Market snapshot: Oct 13, 2026, 12:00 AM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Guangzhou Loong Lions vs. Zhejiang Golden Bulls

Name: Guangzhou Loong Lions vs. Zhejiang Golden Bulls
End: 2026-10-25T11:35:00.000Z

Total Volume

$0.00

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Markets

Trade on Polymarket

Guangzhou Loong Lions vs. Zhejiang Golden Bulls

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%

Arbitrage

of 0 cross-platform

Price ChartMatched Markets Price Graph

1 market tracked

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

Guangzhou Loong Lions vs. Zhejiang Golden Bulls

No data available

Single-Platform Markets(1)

Market	Platform	Price
Guangzhou Loong Lions vs. Zhejiang Golden Bulls	Poly	50%

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 CBA game, scheduled for October 18 at 7:35AM ET: If the Guangzhou Loong Lions win, the market will resolve to "Guangzhou Loong Lions". If the Zhejiang Golden Bulls win, the market will resolve to "Zhejiang Golden Bulls". 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

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:** Guangzhou Loong Lions vs. Zhejiang Golden Bulls
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 25, 2026 (13 days left)
**Time Pressure:** Medium

**Description:** In the upcoming CBA game, scheduled for October 18 at 7:35AM ET:
If the Guangzhou Loong Lions win, the market will resolve to "Guangzhou Loong Lions".
If the Zhejiang Golden Bulls win, the market will resolve to "Zhejiang Golden Bulls".
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

**Resolution Criteria (Sample):**
"In the upcoming CBA game, scheduled for October 18 at 7:35AM ET:
If the Guangzhou Loong Lions win, the market will resolve to "Guangzhou Loong Lions".
If the Zhejiang Golden Bulls win, the market will resolve to "Zhejiang Golden Bulls".
If the game is postponed, this market will remain open until th"

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $86
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Guangzhou Loong Lions vs. Zhejiang Golden Bulls
- **Polymarket** (End: Oct 25, 2026): Vol $0
  DATA: [Guangzhou Loong Lions: 50.0% (0.0%)] | [Zhejiang Golden Bulls: 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