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

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Stade Brestois 29 vs. OGC Nice - Second Half Result

Name: Stade Brestois 29 vs. OGC Nice - Second Half Result
End: 2026-10-23T18:45:00.000Z

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Stade Brestois 29 vs. OGC Nice - Second Half Result

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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

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	52%
OGC Nice to win the second half?	Poly	51%
Stade Brestois 29 vs. OGC Nice: Second half draw?	Poly	33%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

52%

Top Probability

$0.00

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About This Event

In the upcoming Ligue 1 game between Stade Brestois 29 and OGC Nice, scheduled for October 23, 2026 at 2:45 PM ET: This market will resolve to "Stade Brestois 29" if Stade Brestois 29 score more goals than OGC Nice in the second half of regular play plus second-half stoppage time. This market will resolve to "Draw" if Stade Brestois 29 and OGC Nice score the same number of goals in the second half of regular play plus second-half stoppage time. This market will resolve to "OGC Nice" if OGC Nice

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:** Stade Brestois 29 vs. OGC Nice - Second Half Result
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 23, 2026 (12 days left)
**Time Pressure:** Medium

**Description:** In the upcoming Ligue 1 game between Stade Brestois 29 and OGC Nice, scheduled for October 23, 2026 at 2:45 PM ET: This market will resolve to "Stade Brestois 29" if Stade Brestois 29 score more goals than OGC Nice in the second half of regular play plus second-half stoppage time. This market will resolve to "Draw" if Stade Brestois 29 and OGC Nice score the same number of goals in the second half of regular play plus second-half stoppage time. This market will resolve to "OGC Nice" if OGC Nice 

**Resolution Criteria (Sample):**
"In the upcoming Ligue 1 game between Stade Brestois 29 and OGC Nice, scheduled for October 23, 2026 at 2:45 PM ET: This market will resolve to "Stade Brestois 29" if Stade Brestois 29 score more goals than OGC Nice in the second half of regular play plus second-half stoppage time. This market will r"

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $69
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Stade Brestois 29 to win the second half?
- **Polymarket** (End: Oct 23, 2026): Vol $0
  DATA: [Yes: 51.5% (0.0%)] | [No: 48.5% (0.0%)]

### 2. Stade Brestois 29 vs. OGC Nice: Second half draw?
- **Polymarket** (End: Oct 23, 2026): Vol $0
  DATA: [Yes: 33.0% (0.0%)] | [No: 67.0% (0.0%)]

### 3. OGC Nice to win the second half?
- **Polymarket** (End: Oct 23, 2026): Vol $0
  DATA: [Yes: 50.5% (0.0%)] | [No: 49.5% (0.0%)]

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## 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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