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

GroupKALSHI

Event GroupKALSHISports

Buffalo vs Los Angeles R: Most Receiving Yards

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Buffalo vs Los Angeles R: Most Receiving Yards

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1 market tracked

Kyren Williams: most receiving yards in the BUF vs LAR game

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Single-Platform Markets(1)

Market	Platform	Price
Kyren Williams: most receiving yards in the BUF vs LAR game	Kalshi	3%

AI Analysis

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About This Event

BUF vs LAR (Oct 12) If Kyren Williams records the most Receiving Yards among all players in the game for the Buffalo vs Los Angeles R Pro Football game originally scheduled for Oct 12, 2026, then the market resolves to Yes. If Kyren Williams does not participate in the game the market will resolve to No. If multiple players tie for the most yards, the markets will resolve to 1/N, where N is the number of players tied for the highest value. No holders will receive $1 minus the Yes payout. If th

AI-generated analysis based on market data. Not financial advice.

Custom AI Analysis Prompt

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**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:** Buffalo vs Los Angeles R: Most Receiving Yards
**Category:** Sports | **Status:** active
**Resolution Date:** N/A (Unknown)
**Time Pressure:** Unknown

**Description:** BUF vs LAR (Oct 12)

If Kyren Williams records the most Receiving Yards among all players in the game for the Buffalo vs Los Angeles R Pro Football game originally scheduled for Oct 12, 2026, then the market resolves to Yes. If Kyren Williams does not participate in the game the market will resolve to No. If multiple players tie for the most yards, the markets will resolve to 1/N, where N is the number of players tied for the highest value. No holders will receive $1 minus the Yes payout.

If th

**Resolution Criteria (Sample):**
"If Kyren Williams records the most Receiving Yards among all players in the game for the Buffalo vs Los Angeles R Pro Football game originally scheduled for Oct 12, 2026, then the market resolves to Yes. Secondary rules: If Kyren Williams does not participate in the game the market will resolve to N"

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

## 3. Market Data (Prices & Odds)
### 1. Kyren Williams: most receiving yards in the BUF vs LAR game
- **Kalshi** (End: Oct 27, 2026): Vol $0
  DATA: [Yes: 3.0% (0.0%)] | [No: 97.0% (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.

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