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

GroupKALSHI

Event GroupKALSHISports

Single Season Sack Record Broken

Total Volume

$657.87

Events

Markets

Trade on Kalshi

Single Season Sack Record Broken

Vol

$657.87

Events

Markets

Kalshi

Platform StatsQuick Platform Comparison

Polymarket

markets · $0.00

Kalshi

markets · $657.87

Price Spread

0.0%avg

max 0.0%

Arbitrage

of 0 cross-platform

Volume DistributionTotal: $657.87

100%

Kalshi leads

Price ChartMatched Markets Price Graph

1 market tracked

Will the single season sack record be broken?

No data available

Single-Platform Markets(1)

Market	Platform	Price
Will the single season sack record be broken?	Kalshi	51%

AI Analysis

Trader mode: Actionable analysis for identifying opportunities and edge

51%

Top Probability

$657.87

Volume

Markets

Platforms

About This Event

Sack - 2026-27 If any Pro Football player breaks the individual regular season sack record in the 2026-27 Pro Football regular season, then the market resolves to Yes. Current Regular Season Sack Record: 23 sacks - Myles Garrett (2025-26) In order for the market to resolve Yes, the individual regular season sack record must be broken, not tied. Kalshi is not affiliated, associated, authorized, endorsed by, or in any way officially connected with the Governing League. All trademarks, logos, an

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:** Single Season Sack Record Broken
**Category:** Sports | **Status:** active
**Resolution Date:** N/A (Unknown)
**Time Pressure:** Unknown

**Description:** Sack - 2026-27

If any Pro Football player breaks the individual regular season sack record in the 2026-27 Pro Football regular season, then the market resolves to Yes. Current Regular Season Sack Record: 23 sacks - Myles Garrett (2025-26)

In order for the market to resolve Yes, the individual regular season sack record must be broken, not tied.

Kalshi is not affiliated, associated, authorized, endorsed by, or in any way officially connected with the Governing League. All trademarks, logos, an

**Resolution Criteria (Sample):**
"If any Pro Football player breaks the individual regular season sack record in the 2026-27 Pro Football regular season, then the market resolves to Yes. Secondary rules: Current Regular Season Sack Record: 23 sacks - Myles Garrett (2025-26)

In order for the market to resolve Yes, the individual reg"

## 2. Market liquidity & Volume
* **Total Volume:** $658
* **Total Liquidity:** $0
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. Will the single season sack record be broken?
- **Kalshi** (End: Jan 18, 2027): Vol $658
  DATA: [Yes: 51.0% (0.0%)] | [No: 49.0% (0.0%)]

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## 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