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

GroupPOLYMARKET

Event GroupPOLYMARKETSports

M15 Fayetteville, AR: Luigi Valletta vs Nathan Cox

Name: M15 Fayetteville, AR: Luigi Valletta vs Nathan Cox
End: 2026-10-05T18:00:00.000Z

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M15 Fayetteville, AR: Luigi Valletta vs Nathan Cox

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Price Spread

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max 0.0%

Arbitrage

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Price ChartMatched Markets Price Graph

3 markets tracked

Valletta vs. Cox: Match Over/Under 21.5

No data available

Single-Platform Markets(3)

Market	Platform	Price
Valletta vs. Cox: Match Over/Under 21.5	Poly	50%
Valletta vs. Cox: Match Over/Under 22.5	Poly	50%
Valletta vs. Cox: Match Over/Under 23.5	Poly	50%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

50%

Top Probability

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About This Event

This market refers to the tennis match between Luigi Valletta and Nathan Cox in the M15 Fayetteville, AR, Qualifying, originally scheduled for September 28, 2026 at 2:00PM ET. This market will resolve to 'Luigi Valletta' if Luigi Valletta advances against Nathan Cox. This market will resolve to 'Nathan Cox' if Nathan Cox advances against Luigi Valletta. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 12, 2026, 11:59 PM ET (14 days af

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:** M15 Fayetteville, AR: Luigi Valletta vs Nathan Cox
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 5, 2026 (Ended)
**Time Pressure:** Expired

**Description:** This market refers to the tennis match between Luigi Valletta and Nathan Cox in the M15 Fayetteville, AR, Qualifying, originally scheduled for September 28, 2026 at 2:00PM ET.

This market will resolve to 'Luigi Valletta' if Luigi Valletta advances against Nathan Cox.

This market will resolve to 'Nathan Cox' if Nathan Cox advances against Luigi Valletta.

If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by October 12, 2026, 11:59 PM ET (14 days af

**Resolution Criteria (Sample):**
"This market refers to the tennis match between Luigi Valletta and Nathan Cox in the M15 Fayetteville, AR, originally scheduled for September 28, 2026 at 2:00PM ET.
This market will resolve to "Over" if the total number of games completed equals or exceeds 22. Otherwise, it will resolve to "Under." A"

## 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. Valletta vs. Cox: Match Over/Under 21.5
- **Polymarket** (End: Oct 5, 2026): Vol $0
  DATA: [Over: 50.0% (0.0%)] | [Under: 50.0% (0.0%)]

### 2. Valletta vs. Cox: Match Over/Under 22.5
- **Polymarket** (End: Oct 5, 2026): Vol $0
  DATA: [Over: 50.0% (0.0%)] | [Under: 50.0% (0.0%)]

### 3. Valletta vs. Cox: 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".

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

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