Market snapshot: Oct 12, 2026, 3:00 AM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Lille OSC vs. Stade Brestois 29 - Second Half Result

Name: Lille OSC vs. Stade Brestois 29 - Second Half Result
End: 2026-10-17T18:45:00.000Z

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Lille OSC vs. Stade Brestois 29 - Second Half Result

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Price Spread

0.0%avg

max 0.0%

Arbitrage

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Price ChartMatched Markets Price Graph

3 markets tracked

Stade Brestois 29 to win the second half?

No data available

Single-Platform Markets(3)

Market	Platform	Price
Stade Brestois 29 to win the second half?	Poly	51%
Lille OSC to win the second half?	Poly	50%
Lille OSC vs. Stade Brestois 29: Second half draw?	Poly	28%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

51%

Top Probability

$0.00

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About This Event

In the upcoming Ligue 1 game between Lille OSC and Stade Brestois 29, scheduled for October 17, 2026 at 2:45 PM ET: This market will resolve to "Lille OSC" if Lille OSC score more goals than Stade Brestois 29 in the second half of regular play plus second-half stoppage time. This market will resolve to "Draw" if Lille OSC and Stade Brestois 29 score the same number of goals in the second half of regular play plus second-half stoppage time. This market will resolve to "Stade Brestois 29" if Stade

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%).

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## 1. Event Snapshot
**Event:** Lille OSC vs. Stade Brestois 29 - Second Half Result
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 17, 2026 (6 days left)
**Time Pressure:** High

**Description:** In the upcoming Ligue 1 game between Lille OSC and Stade Brestois 29, scheduled for October 17, 2026 at 2:45 PM ET: This market will resolve to "Lille OSC" if Lille OSC score more goals than Stade Brestois 29 in the second half of regular play plus second-half stoppage time. This market will resolve to "Draw" if Lille OSC and Stade Brestois 29 score the same number of goals in the second half of regular play plus second-half stoppage time. This market will resolve to "Stade Brestois 29" if Stade

**Resolution Criteria (Sample):**
"In the upcoming Ligue 1 game between Lille OSC and Stade Brestois 29, scheduled for October 17, 2026 at 2:45 PM ET: This market will resolve to "Lille OSC" if Lille OSC score more goals than Stade Brestois 29 in the second half of regular play plus second-half stoppage time. This market will resolve"

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $2.6K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Lille OSC to win the second half?
- **Polymarket** (End: Oct 17, 2026): Vol $0
  DATA: [Yes: 49.5% (0.0%)] | [No: 50.5% (0.0%)]

### 2. Lille OSC vs. Stade Brestois 29: Second half draw?
- **Polymarket** (End: Oct 17, 2026): Vol $0
  DATA: [Yes: 27.5% (0.0%)] | [No: 72.5% (0.0%)]

### 3. Stade Brestois 29 to win the second half?
- **Polymarket** (End: Oct 17, 2026): Vol $0
  DATA: [Yes: 51.0% (0.0%)] | [No: 49.0% (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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