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

GroupKALSHI

Event GroupKALSHISports

San Francisco vs Seattle: Both Teams to Score in Every Quarter

Total Volume

$1.24K

Events

Markets

Trade on Kalshi

San Francisco vs Seattle: Both Teams to Score in Every Quarter

Vol

$1.24K

Events

Markets

Kalshi

Platform StatsQuick Platform Comparison

Polymarket

markets · $0.00

Kalshi

markets · $1.24K

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $1.24K

100%

Kalshi leads

Price ChartMatched Markets Price Graph

1 market tracked

Both teams to score in every quarter

No data available

Single-Platform Markets(1)

Market	Platform	Price
Both teams to score in every quarter	Kalshi	35%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

35%

Top Probability

$1.24K

Volume

Markets

Platforms

About This Event

SF vs SEA (Oct 11) If San Francisco and Seattle both score points in every quarter of regulation of 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 both teams record points in the every quarter of regulation of the San Francisco vs Seattle Pro Football game originally scheduled for Oct 11, 2026. Points scored in overtime do not count toward 4th quarter scoring. All scoring plays count f

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:** Sunday, October 11, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

---

## 1. Event Snapshot
**Event:** San Francisco vs Seattle: Both Teams to Score in Every Quarter
**Category:** Sports | **Status:** active
**Resolution Date:** N/A (Unknown)
**Time Pressure:** Unknown

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

If San Francisco and Seattle  both score points in every quarter of regulation of 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 both teams record points in the every quarter of regulation of the San Francisco vs Seattle Pro Football game originally scheduled for Oct 11, 2026. Points scored in overtime do not count toward 4th quarter scoring. All scoring plays count f

**Resolution Criteria (Sample):**
"If San Francisco and Seattle  both score points in every quarter of regulation of 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 both teams record points in the every quarte"

## 2. Market liquidity & Volume
* **Total Volume:** $1.2K
* **Total Liquidity:** $0
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Both teams to score in every quarter
- **Kalshi** (End: Oct 13, 2026): Vol $1.2K
  DATA: [Yes: 34.5% (0.0%)] | [No: 65.5% (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