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

GroupKALSHI

Event GroupKALSHISports

San Francisco vs Seattle: Player Longest Reception

Total Volume

$11.06

Events

Markets

Trade on Kalshi

San Francisco vs Seattle: Player Longest Reception

Vol

$11.06

Events

Markets

Kalshi

Platform StatsQuick Platform Comparison

Polymarket

markets · $0.00

Kalshi

markets · $11.06

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $11.06

100%

Kalshi leads

Price ChartMatched Markets Price Graph

1 market tracked

Tory Horton: longest reception over 8.5 yards

No data available

Single-Platform Markets(1)

Market	Platform	Price
Tory Horton: longest reception over 8.5 yards	Kalshi	37%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

37%

Top Probability

$11.06

Volume

Markets

Platforms

About This Event

SF vs SEA (Oct 11) If Tory Horton records a longest reception of over 8.5 yards in the San Francisco vs Seattle Pro Football game originally scheduled for Oct 11, 2026, then the market resolves to Yes. The following market refers to Tory Horton in the San Francisco vs Seattle Pro Football game originally scheduled for Oct 11, 2026. If Tory Horton is active but never takes a snap, the market settles to the fair market price before game start. Once Tory Horton takes at least one snap, even if nul

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

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

If Tory Horton records a longest reception of over 8.5 yards in the San Francisco vs Seattle Pro Football game originally scheduled for Oct 11, 2026, then the market resolves to Yes. The following market refers to Tory Horton in the San Francisco vs Seattle Pro Football game originally scheduled for Oct 11, 2026. If Tory Horton is active but never takes a snap, the market settles to the fair market price before game start. Once Tory Horton takes at least one snap, even if nul

**Resolution Criteria (Sample):**
"If Tory Horton records a longest reception of over 8.5 yards in the San Francisco vs Seattle Pro Football game originally scheduled for Oct 11, 2026, then the market resolves to Yes. Secondary rules: The following market refers to Tory Horton in the San Francisco vs Seattle Pro Football game origina"

## 2. Market liquidity & Volume
* **Total Volume:** $11
* **Total Liquidity:** $0
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Tory Horton: longest reception over 8.5 yards
- **Kalshi** (End: Oct 13, 2026): Vol $11
  DATA: [Yes: 36.5% (0.0%)] | [No: 63.5% (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.

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