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

GroupKALSHI

Event GroupKALSHISports

Seattle vs Washington: Saves

Total Volume

$1.29K

Events

Markets

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Seattle vs Washington: Saves

Vol

$1.29K

Events

Markets

Kalshi

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Polymarket

markets · $0.00

Kalshi

markets · $1.29K

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $1.29K

100%

Kalshi leads

Price ChartMatched Markets Price Graph

2 markets tracked

Joey Daccord: 28+ saves

No data available

Single-Platform Markets(2)

Market	Platform	Price
Joey Daccord: 28+ saves	Kalshi	100%
Logan Thompson: 24+ saves	Kalshi	46%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

100%

Top Probability

$1.29K

Volume

Markets

Platforms

About This Event

SEA vs WSH (Oct 11) If X records Y saves in the Seattle vs Washington NHL game originally scheduled for Oct 11, 2026, then the market resolves to Yes. The following market refers to a player in the Seattle vs Washington NHL game originally scheduled for Oct 11, 2026. If a player is active but never enters the game, the market settles to the last fair market price before game start. Once a player enters the game, the market settles based on the player's saves recorded. This market will close and

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:** 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: Saves
**Category:** Sports | **Status:** active
**Resolution Date:** N/A (Unknown)
**Time Pressure:** Unknown

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

If X records Y saves in the Seattle vs Washington NHL game originally scheduled for Oct 11, 2026, then the market resolves to Yes. The following market refers to a player in the Seattle vs Washington NHL game originally scheduled for Oct 11, 2026. If a player is active but never enters the game, the market settles to the last fair market price before game start. Once a player enters the game, the market settles based on the player's saves recorded. This market will close and

**Resolution Criteria (Sample):**
"If Joey Daccord records 28+ saves in the Seattle vs Washington NHL game originally scheduled for Oct 11, 2026, then the market resolves to Yes. Secondary rules: The following market refers to a player in the Seattle vs Washington NHL game originally scheduled for Oct 11, 2026. If a player is active "

## 2. Market liquidity & Volume
* **Total Volume:** $1.3K
* **Total Liquidity:** $0
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Joey Daccord: 28+ saves
- **Kalshi** (End: Oct 13, 2026): Vol $750
  DATA: [Yes: 99.5% (0.0%)] | [No: 0.5% (0.0%)]

### 2. Logan Thompson: 24+ saves
- **Kalshi** (End: Oct 13, 2026): Vol $543
  DATA: [Yes: 45.5% (0.0%)] | [No: 54.5% (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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Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.

KALSHISports

Seattle vs Washington: Saves

Volume$1.29K

Markets2

2 of 2

Sort:

KALSHI

Joey Daccord: 28+ saves

KALSHI

KKalshi

Yes 99.5¢No 0.5¢

KALSHIOther

CLOSING SOON

Joey Daccord: 28+ saves

If Joey Daccord records 28+ saves in the Seattle vs Washington NHL game originally scheduled for Oct 11, 2026, then the market resolves to Yes. Secondary rules: The following market refers to a player in the Seattle vs Washington NHL game originally scheduled for Oct 11, 2026. If a player is active

KALSHI

Logan Thompson: 24+ saves

KALSHI

KKalshi

Yes 45.5¢No 54.5¢

KALSHIOther

CLOSING SOON

Logan Thompson: 24+ saves

If Logan Thompson records 24+ saves in the Seattle vs Washington NHL game originally scheduled for Oct 11, 2026, then the market resolves to Yes. Secondary rules: The following market refers to a player in the Seattle vs Washington NHL game originally scheduled for Oct 11, 2026. If a player is activ

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73¢

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<iframe src="https://predictpedia.com/embed/uHXUKZ" width="400" height="160" frameborder="0" style="border-radius: 8px; max-width: 100%;" title="Seattle vs Washington: Saves"></iframe>

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Seattle vs Washington: Saves

Seattle vs Washington: Saves

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Joey Daccord: 28+ saves

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Events (1)

Seattle vs Washington: Saves

Markets (2)

Joey Daccord: 28+ saves

Joey Daccord: 28+ saves

Logan Thompson: 24+ saves

Logan Thompson: 24+ saves

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Joey Daccord: 28+ saves

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Seattle vs Washington: Saves

Joey Daccord: 28+ saves

Joey Daccord: 28+ saves

Logan Thompson: 24+ saves

Logan Thompson: 24+ saves

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