This event has ended. Showing historical data.

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Obras vs. San Lorenzo

Name: Obras vs. San Lorenzo
End: 2026-02-19T23:30:00.000Z

Total Volume

$9.57K

Events

Markets

Trade on Polymarket

Obras vs. San Lorenzo

Vol

$9.57K

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $9.57K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Price gaps

of 0 cross-platform

Saved prices are comparisons, not executable quotes. A price difference does not establish arbitrage. Check both contracts, live order prices, fees and available size.

Volume DistributionTotal: $9.57K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

Historical observations can differ from current quotes. Kalshi points are hourly trade averages.

Saved prices are comparisons, not executable quotes. A price difference does not establish arbitrage. Check both contracts, live order prices, fees and available size.

Obras vs. San Lorenzo

No data available

Single-Platform Markets(1)

Market	Platform	Price
Obras vs. San Lorenzo	Kalshi	—

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

50%

Top Probability

$9.57K

Volume

Markets

Platforms

About This Event

In the upcoming LNB game, scheduled for February 12 at 6:30PM ET: If the Obras win, the market will resolve to "Obras". If the San Lorenzo win, the market will resolve to "San Lorenzo". If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50. The result will be determined based on the final score including any overtime periods.

AI-generated analysis based on market data. Not financial advice.

Custom AI Analysis Prompt

Tap to expand

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:** Wednesday, October 14, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** Obras vs. San Lorenzo
**Category:** Sports | **Status:** active
**Resolution Date:** Feb 19, 2026 (Ended)
**Time Pressure:** Expired

**Description:** In the upcoming LNB game, scheduled for February 12 at 6:30PM ET:
If the Obras win, the market will resolve to "Obras".
If the San Lorenzo win, the market will resolve to "San Lorenzo".
If the game is postponed, this market will remain open until the game has been completed.
If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
The result will be determined based on the final score including any overtime periods.

**Resolution Criteria (Sample):**
"In the upcoming LNB game, scheduled for February 12 at 6:30PM ET:
If the Obras win, the market will resolve to "Obras".
If the San Lorenzo win, the market will resolve to "San Lorenzo".
If the game is postponed, this market will remain open until the game has been completed.
If the game is canceled "

## 2. Market liquidity & Volume
* **Total Volume:** $9.6K
* **Total Liquidity:** $2
* **Activity Level:** Very High Turnover (Vol/Liq Ratio: 5971.52)

## 3. Market Data (Prices & Odds)
### 1. Obras vs. San Lorenzo
- **Polymarket** (End: Feb 19, 2026): Vol $9.6K
  DATA: [Obras: 49.5% (0.0%)] | [San Lorenzo: 50.5% (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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AI-written background. References identify the evidence used; Wikipedia links under Learn More are additional reading. Prices and provider rules are dated snapshots. This is not financial advice.

POLYMARKETSports