This event has ended. Showing historical data.

GroupPOLYMARKET

Event GroupPOLYMARKETSports

NHL Playoffs: Who Will Win Series? - Hurricanes vs. Flyers

Name: NHL Playoffs: Who Will Win Series? - Hurricanes vs. Flyers
End: 2026-05-23T00:00:00.000Z

Total Volume

$73.03

Events

Markets

Trade on Polymarket

NHL Playoffs: Who Will Win Series? - Hurricanes vs. Flyers

Vol

$73.03

Events

Markets

Polymarket

Platform StatsQuick Platform Comparison

Polymarket

markets · $73.03

Kalshi

markets · $0.00

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $73.03

100%

Polymarket leads

Price ChartMatched Markets Price Graph

1 market tracked

NHL Playoffs: Who Will Win Series? - Hurricanes vs. Flyers

No data available

Single-Platform Markets(1)

Market	Platform	Price
NHL Playoffs: Who Will Win Series? - Hurricanes vs. Flyers	Poly	83%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

83%

Top Probability

$73.03

Volume

Markets

Platforms

About This Event

This market will resolve to “Canes” if the Carolina Hurricanes win the 2026 NHL Playoffs First Round series between the Carolina Hurricanes and Philadelphia Flyers. This market will resolve to “Flyers” if the Philadelphia Flyers win the 2026 NHL Playoffs First Round series between the Carolina Hurricanes and Philadelphia Flyers. If a partial series is played and not completed by May 31, 2026, 11:59 PM ET, this market will resolve to 50-50. If the 2026 NHL Playoffs are cancelled, postponed afte

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:** Friday, July 10, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** NHL Playoffs: Who Will Win Series? - Hurricanes vs. Flyers 
**Category:** Sports | **Status:** active
**Resolution Date:** May 23, 2026 (Ended)
**Time Pressure:** Expired

**Description:** This market will resolve to “Canes” if the Carolina Hurricanes win the 2026 NHL Playoffs First Round series between the Carolina Hurricanes and Philadelphia Flyers. This market will resolve to “Flyers” if the Philadelphia Flyers win the 2026 NHL Playoffs First Round series between the Carolina Hurricanes and Philadelphia Flyers.

If a partial series is played and not completed by May 31, 2026, 11:59 PM ET, this market will resolve to 50-50.

If the 2026 NHL Playoffs are cancelled, postponed afte

**Resolution Criteria (Sample):**
"This market will resolve to “Canes” if the Carolina Hurricanes win the 2026 NHL Playoffs First Round series between the Carolina Hurricanes and Philadelphia Flyers. This market will resolve to “Flyers” if the Philadelphia Flyers win the 2026 NHL Playoffs First Round series between the Carolina Hurri"

## 2. Market liquidity & Volume
* **Total Volume:** $73
* **Total Liquidity:** $2.7K
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.03)

## 3. Market Data (Prices & Odds)
### 1. NHL Playoffs: Who Will Win Series? - Hurricanes vs. Flyers 
- **Polymarket** (End: May 23, 2026): Vol $73
  DATA: [Canes: 82.5% (0.0%)] | [Flyers: 17.5% (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".

Tap text to select all

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

POLYMARKETSports