Market snapshot: Oct 13, 2026, 12:00 AM UTC. Prices may have changed since this snapshot.

GroupKALSHI

Event GroupKALSHISports

Seattle vs Philadelphia: Overtime

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$0.00

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Seattle vs Philadelphia: Overtime

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Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

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1 market tracked

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

Game goes to overtime

No data available

Single-Platform Markets(1)

Market	Platform	Price
Game goes to overtime	Kalshi	23%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

23%

Top Probability

$0.00

Volume

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About This Event

SEA vs PHI (Oct 13) If at least 1 overtime period is played in the Seattle vs Philadelphia NHL game originally scheduled for Oct 13, 2026, then the market resolves to Yes. For the purposes of this market, an overtime period is "played" if and only if play in that overtime period commences, meaning that the opening faceoff of that overtime period is taken. An overtime period that is scheduled, announced, or begun but in which no play commences is not considered to be played. If the game is post

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

Custom AI Analysis Prompt

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**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:** Tuesday, October 13, 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:** Seattle vs Philadelphia: Overtime
**Category:** Sports | **Status:** active
**Resolution Date:** N/A (Unknown)
**Time Pressure:** Unknown

**Description:** SEA vs PHI (Oct 13)

If at least 1 overtime period is played in the Seattle vs Philadelphia NHL game originally scheduled for Oct 13, 2026, then the market resolves to Yes. For the purposes of this market, an overtime period is "played" if and only if play in that overtime period commences, meaning that the opening faceoff of that overtime period is taken. An overtime period that is scheduled, announced, or begun but in which no play commences is not considered to be played.

If the game is post

**Resolution Criteria (Sample):**
"If at least 1 overtime period is played in the Seattle vs Philadelphia NHL game originally scheduled for Oct 13, 2026, then the market resolves to Yes. Secondary rules: For the purposes of this market, an overtime period is "played" if and only if play in that overtime period commences, meaning that"

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

## 3. Market Data (Prices & Odds)
### 1. Game goes to overtime
- **Kalshi** (End: Oct 15, 2026): Vol $0
  DATA: [Yes: 23.0% (0.0%)] | [No: 77.0% (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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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.

KALSHISports