Market snapshot: Oct 11, 2026, 9:47 PM UTC. Prices may have changed since this snapshot.

GroupKALSHI

Event GroupKALSHISports

San Francisco vs Seattle: Tie

Total Volume

$48.16K

Events

Markets

Trade on Kalshi

San Francisco vs Seattle: Tie

Vol

$48.16K

Events

Markets

Kalshi

Platform StatsQuick Platform Comparison

Polymarket

markets · $0.00

Kalshi

markets · $48.16K

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $48.16K

100%

Kalshi leads

Price ChartMatched Markets Price Graph

1 market tracked

Game to end in a tie

No data available

Single-Platform Markets(1)

Market	Platform	Price
Game to end in a tie	Kalshi	1%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

Top Probability

$48.16K

Volume

Markets

Platforms

About This Event

SF vs SEA (Oct 11) If neither team wins and the game ends in a tie in the San Francisco vs Seattle Pro Football game originally scheduled for Oct 11, 2026, then the market resolves to Yes. If one of the teams wins the San Francisco vs Seattle Pro Football game originally scheduled for Oct 11, 2026, then the market resolves to No. Otherwise, if the game ends in a tie, the market will resolve to Yes. If the game is postponed but begins within 48 hours from its originally scheduled start time, the

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%).

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

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

If neither team wins and the game ends in a tie in the San Francisco vs Seattle Pro Football game originally scheduled for Oct 11, 2026, then the market resolves to Yes. If one of the teams wins the San Francisco vs Seattle Pro Football game originally scheduled for Oct 11, 2026, then the market resolves to No. Otherwise, if the game ends in a tie, the market will resolve to Yes. If the game is postponed but begins within 48 hours from its originally scheduled start time, the

**Resolution Criteria (Sample):**
"If neither team wins and the game ends in a tie in the San Francisco vs Seattle Pro Football game originally scheduled for Oct 11, 2026, then the market resolves to Yes. Secondary rules: If one of the teams wins the San Francisco vs Seattle Pro Football game originally scheduled for Oct 11, 2026, th"

## 2. Market liquidity & Volume
* **Total Volume:** $48.2K
* **Total Liquidity:** $0
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Game to end in a tie
- **Kalshi** (End: Oct 13, 2026): Vol $48.2K
  DATA: [Yes: 1.0% (0.0%)] | [No: 99.0% (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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Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.

KALSHISports