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

GroupPOLYMARKET

Event GroupPOLYMARKETSports

W35 Santa Margherita di Pula: Tena Lukas vs Alisa Oktiabreva

Name: W35 Santa Margherita di Pula: Tena Lukas vs Alisa Oktiabreva
End: 2026-10-02T08:00:00.000Z

Total Volume

$10.14K

Events

Markets

Trade on Polymarket

W35 Santa Margherita di Pula: Tena Lukas vs Alisa Oktiabreva

Vol

$10.14K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $10.14K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $10.14K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

2 markets tracked

Lukas vs. Oktiabreva: Match Over/Under 22.5

No data available

Single-Platform Markets(2)

Market	Platform	Price
Lukas vs. Oktiabreva: Match Over/Under 22.5	Poly	50%
Lukas vs. Oktiabreva: Match Over/Under 23.5	Poly	50%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

50%

Top Probability

$10.14K

Volume

Markets

Platforms

About This Event

This market refers to the tennis match between Tena Lukas and Alisa Oktiabreva in the W35 Santa Margherita di Pula, Main Draw, originally scheduled for September 25, 2026 at 4:00AM ET. This market will resolve to 'Tena Lukas' if Tena Lukas advances against Alisa Oktiabreva. This market will resolve to 'Alisa Oktiabreva' if Alisa Oktiabreva advances against Tena Lukas. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 9, 2026, 11:59 PM

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 Santa Margherita di Pula: Tena Lukas vs Alisa Oktiabreva
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 2, 2026 (Ended)
**Time Pressure:** Expired

**Description:** This market refers to the tennis match between Tena Lukas and Alisa Oktiabreva in the W35 Santa Margherita di Pula, Main Draw, originally scheduled for September 25, 2026 at 4:00AM ET.

This market will resolve to 'Tena Lukas' if Tena Lukas advances against Alisa Oktiabreva.

This market will resolve to 'Alisa Oktiabreva' if Alisa Oktiabreva advances against Tena Lukas.

If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 9, 2026, 11:59 PM 

**Resolution Criteria (Sample):**
"This market refers to the tennis match between Tena Lukas and Alisa Oktiabreva in the W35 Santa Margherita di Pula, originally scheduled for September 25, 2026 at 4:00AM ET.
This market will resolve to "Over" if the total number of games completed equals or exceeds 23. Otherwise, it will resolve to "

## 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. Lukas vs. Oktiabreva: Match Over/Under 22.5
- **Polymarket** (End: Oct 2, 2026): Vol $0
  DATA: [Over: 50.0% (0.0%)] | [Under: 50.0% (0.0%)]

### 2. Lukas vs. Oktiabreva: Match Over/Under 23.5
- **Polymarket** (End: Oct 2, 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".

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

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