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

GroupPOLYMARKET

Event GroupPOLYMARKETSports

W35 Wagga Wagga: I Wen Wan vs Tahlia Kokkinis

Name: W35 Wagga Wagga: I Wen Wan vs Tahlia Kokkinis
End: 2026-10-15T00:00:00.000Z

Total Volume

$12.97K

Events

Markets

Trade on Polymarket

W35 Wagga Wagga: I Wen Wan vs Tahlia Kokkinis

Vol

$12.97K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $12.97K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $12.97K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

2 markets tracked

W35 Wagga Wagga: I Wen Wan vs Tahlia Kokkinis

No data available

Single-Platform Markets(2)

Market	Platform	Price
W35 Wagga Wagga: I Wen Wan vs Tahlia Kokkinis	Poly	99%
Set Handicap: I Wen Wan (-1.5) vs Tahlia Kokkinis (+1.5)	Poly	50%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

99%

Top Probability

$12.97K

Volume

Markets

Platforms

About This Event

This market refers to the tennis match between I Wen Wan and Tahlia Kokkinis in the W35 Wagga Wagga, Main Draw, originally scheduled for October 7, 2026 at 8:00PM ET. This market will resolve to 'I Wen Wan' if I Wen Wan advances against Tahlia Kokkinis. This market will resolve to 'Tahlia Kokkinis' if Tahlia Kokkinis advances against I Wen Wan. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 21, 2026, 11:59 PM ET (14 days after the s

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:** 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:** W35 Wagga Wagga: I Wen Wan vs Tahlia Kokkinis
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 15, 2026 (3 days left)
**Time Pressure:** High

**Description:** This market refers to the tennis match between I Wen Wan and Tahlia Kokkinis in the W35 Wagga Wagga, Main Draw, originally scheduled for October 7, 2026 at 8:00PM ET.

This market will resolve to 'I Wen Wan' if I Wen Wan advances against Tahlia Kokkinis.

This market will resolve to 'Tahlia Kokkinis' if Tahlia Kokkinis advances against I Wen Wan.

If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 21, 2026, 11:59 PM ET (14 days after the s

**Resolution Criteria (Sample):**
"This market refers to the tennis match between I Wen Wan and Tahlia Kokkinis in the W35 Wagga Wagga, Main Draw, originally scheduled for October 7, 2026 at 8:00PM ET.

This market will resolve to 'I Wen Wan' if I Wen Wan advances against Tahlia Kokkinis.

This market will resolve to 'Tahlia Kokkinis"

## 2. Market liquidity & Volume
* **Total Volume:** $13.0K
* **Total Liquidity:** $3.6K
* **Activity Level:** Stable (Vol/Liq Ratio: 3.56)

## 3. Market Data (Prices & Odds)
### 1. W35 Wagga Wagga: I Wen Wan vs Tahlia Kokkinis
- **Polymarket** (End: Oct 15, 2026): Vol $13.0K
  DATA: [I Wen Wan: 99.5% (0.0%)] | [Tahlia Kokkinis: 0.5% (0.0%)]

### 2. Set Handicap: I Wen Wan (-1.5) vs Tahlia Kokkinis (+1.5)
- **Polymarket** (End: Oct 15, 2026): Vol $0
  DATA: [I Wen Wan: 50.0% (0.0%)] | [Tahlia Kokkinis: 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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Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.

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