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

GroupKALSHI

Event GroupKALSHISports

San Francisco vs Seattle: D/ST Touchdown

Total Volume

$6.29K

Events

Markets

Trade on Kalshi

San Francisco vs Seattle: D/ST Touchdown

Vol

$6.29K

Events

Markets

Kalshi

Platform StatsQuick Platform Comparison

Polymarket

markets · $0.00

Kalshi

markets · $6.29K

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $6.29K

100%

Kalshi leads

Price ChartMatched Markets Price Graph

1 market tracked

D/ST touchdown in the game?

No data available

Single-Platform Markets(1)

Market	Platform	Price
D/ST touchdown in the game?	Kalshi	14%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

14%

Top Probability

$6.29K

Volume

Markets

Platforms

About This Event

SF vs SEA (Oct 11) If San Francisco or Seattle record at least 1 defensive or special teams touchdown in the San Francisco vs Seattle Pro Football game originally scheduled for Oct 11, 2026, then the market resolves to Yes. This market resolves based on whether either team records a defensive or special teams touchdown in the San Francisco vs Seattle Pro Football game originally scheduled for Oct 11, 2026. Defensive or special teams touchdowns recorded in overtime count. If the game is postpone

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:** Sunday, October 11, 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: D/ST Touchdown
**Category:** Sports | **Status:** active
**Resolution Date:** N/A (Unknown)
**Time Pressure:** Unknown

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

If San Francisco or Seattle record at least 1 defensive or special teams touchdown in the San Francisco vs Seattle Pro Football game originally scheduled for Oct 11, 2026, then the market resolves to Yes. This market resolves based on whether either team records a defensive or special teams touchdown in the San Francisco vs Seattle Pro Football game originally scheduled for Oct 11, 2026. Defensive or special teams touchdowns recorded in overtime count. If the game is postpone

**Resolution Criteria (Sample):**
"If San Francisco or Seattle record at least 1 defensive or special teams touchdown in the San Francisco vs Seattle Pro Football game originally scheduled for Oct 11, 2026, then the market resolves to Yes. Secondary rules: This market resolves based on whether either team records a defensive or speci"

## 2. Market liquidity & Volume
* **Total Volume:** $6.3K
* **Total Liquidity:** $0
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. D/ST touchdown in the game?
- **Kalshi** (End: Oct 13, 2026): Vol $6.3K
  DATA: [Yes: 13.5% (0.0%)] | [No: 86.5% (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