Syracuse Orange vs. North Carolina Tar Heels | PredictPedia

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Events

GroupPOLYMARKET

Event GroupPOLYMARKETSports

Syracuse Orange vs. North Carolina Tar Heels

Name: Syracuse Orange vs. North Carolina Tar Heels
End: 2026-02-03T00:00:00.000Z

Total Volume

$351.92K

Events

Markets

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Syracuse Orange vs. North Carolina Tar Heels

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Polymarket

markets · $351.92K

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $351.92K

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

Syracuse Orange vs. North Carolina Tar Heels

No data available

Single-Platform Markets(1)

Market	Platform	Price
Syracuse Orange vs. North Carolina Tar Heels	Poly	0%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

Top Probability

$351.92K

Volume

Markets

Platforms

About This Event

This event is for the CBB game between Syracuse Orange and North Carolina Tar Heels on February 2 at 7:00 PM ET. 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.

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:** Sunday, February 22, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** Syracuse Orange vs. North Carolina Tar Heels
**Category:** Sports | **Status:** active
**Resolution Date:** Feb 3, 2026 (Ended)
**Time Pressure:** Expired

**Description:** This event is for the CBB game between Syracuse Orange and North Carolina Tar Heels on February 2 at 7:00 PM ET.

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.

**Resolution Criteria (Sample):**
"In the upcoming CBB game, scheduled for February 2 at 7:00 PM ET:

If the Syracuse Orange win, the market will resolve to "Syracuse Orange".

If the North Carolina Tar Heels win, the market will resolve to "North Carolina Tar Heels".

If the game is postponed, this market will remain open until the "

## 2. Market liquidity & Volume
* **Total Volume:** $69.8K
* **Total Liquidity:** $20.9K
* **Activity Level:** Stable (Vol/Liq Ratio: 3.34)

## 3. Market Data (Prices & Odds)
### 1. Syracuse Orange vs. North Carolina Tar Heels
- **Polymarket** (End: Feb 3, 2026): Vol $69.8K
  DATA: [North Carolina Tar Heels: 0.1% (0.0%)] | [Syracuse Orange: 100.0% (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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Market Insights

Average Yes Price

0¢

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<iframe src="https://predictpedia.com/embed/zPzGb6" width="400" height="160" frameborder="0" style="border-radius: 8px; max-width: 100%;" title="Syracuse Orange vs. North Carolina Tar Heels"></iframe>

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Syracuse Orange vs. North Carolina Tar Heels

Syracuse Orange vs. North Carolina Tar Heels

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Syracuse Orange vs. North Carolina Tar Heels

AI Analysis

About This Event

Custom AI Analysis Prompt

Custom AI Analysis Prompt

Educational Context

Events (1)