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

GroupPOLYMARKET

Event GroupPOLYMARKETSports

W15 Maanshan: Yu Shan vs Mingyou Xu

Name: W15 Maanshan: Yu Shan vs Mingyou Xu
End: 2026-10-05T02:30:00.000Z

Total Volume

$0.00

Events

Markets

Trade on Polymarket

W15 Maanshan: Yu Shan vs Mingyou Xu

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

Shan vs. Xu: Match Over/Under 23.5

No data available

Single-Platform Markets(1)

Market	Platform	Price
Shan vs. Xu: Match Over/Under 23.5	Poly	50%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

50%

Top Probability

$0.00

Volume

Markets

Platforms

About This Event

This market refers to the tennis match between Yu Shan and Mingyou Xu in the W15 Maanshan, Qualifying, originally scheduled for September 27, 2026 at 10:30PM ET. This market will resolve to 'Yu Shan' if Yu Shan advances against Mingyou Xu. This market will resolve to 'Mingyou Xu' if Mingyou Xu advances against Yu Shan. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 11, 2026, 11:59 PM ET (14 days after the scheduled start), this mark

AI-generated analysis based on market data. Not financial advice.

Custom AI Analysis Prompt

Tap to expand

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%).

---

## 1. Event Snapshot
**Event:** W15 Maanshan: Yu Shan vs Mingyou Xu
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 5, 2026 (Ended)
**Time Pressure:** Expired

**Description:** This market refers to the tennis match between Yu Shan and Mingyou Xu in the W15 Maanshan, Qualifying, originally scheduled for September 27, 2026 at 10:30PM ET.

This market will resolve to 'Yu Shan' if Yu Shan advances against Mingyou Xu.

This market will resolve to 'Mingyou Xu' if Mingyou Xu advances against Yu Shan.

If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 11, 2026, 11:59 PM ET (14 days after the scheduled start), this mark

**Resolution Criteria (Sample):**
"This market refers to the tennis match between Yu Shan and Mingyou Xu in the W15 Maanshan, originally scheduled for September 27, 2026 at 10:30PM ET.
This market will resolve to "Over" if the total number of games completed equals or exceeds 24. Otherwise, it will resolve to "Under." All tiebreaks, "

## 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. Shan vs. Xu: Match Over/Under 23.5
- **Polymarket** (End: Oct 5, 2026): Vol $0
  DATA: [Over: 50.0% (0.0%)] | [Under: 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".

Tap text to select all

Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.

POLYMARKETSports