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

GroupKALSHI

Event GroupKALSHISports

Seattle vs Washington: Overtime

Total Volume

$739.20

Events

Markets

Trade on Kalshi

Seattle vs Washington: Overtime

Vol

$739.20

Events

Markets

Kalshi

Platform StatsQuick Platform Comparison

Polymarket

markets · $0.00

Kalshi

markets · $739.20

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $739.20

100%

Kalshi leads

Price ChartMatched Markets Price Graph

1 market tracked

Game goes to overtime

No data available

Single-Platform Markets(1)

Market	Platform	Price
Game goes to overtime	Kalshi	1%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

Top Probability

$739.20

Volume

Markets

Platforms

About This Event

SEA vs WSH (Oct 11) If at least 1 overtime period is played in the Seattle vs Washington NHL game originally scheduled for Oct 11, 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 postpo

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:** Monday, October 12, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** Seattle vs Washington: Overtime
**Category:** Sports | **Status:** active
**Resolution Date:** N/A (Unknown)
**Time Pressure:** Unknown

**Description:** SEA vs WSH (Oct 11)

If at least 1 overtime period is played in the Seattle vs Washington NHL game originally scheduled for Oct 11, 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 postpo

**Resolution Criteria (Sample):**
"If at least 1 overtime period is played in the Seattle vs Washington NHL game originally scheduled for Oct 11, 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 t"

## 2. Market liquidity & Volume
* **Total Volume:** $739
* **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 13, 2026): Vol $739
  DATA: [Yes: 0.5% (0.0%)] | [No: 99.5% (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.

KALSHISports