Elio Amicarelli
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All (7)
AI research (3)
MODELING (2)
PRODUCT DATA SCIENCE (2)
SPBM SERIES (2)

SYGACT

Systems, Games, and Behavior

A collection of my thoughts and research on systems, games, and human behavior.

The Overround is Not Enough: How Bettors’ Preferences Shape the Profit Risk for Bookmakers

MODELING
SPBM SERIES

Why doesn’t the overround alone guarantee success for a bookmaker? This post provides a mathematical and empirical analysis showing how bettors’ preferences shape the risk profile of the bookmaker’s profit.

Elio Amicarelli

5 Reasons Businesses Fall Short in Leveraging A/B Testing and What to Do About Them

PRODUCT DATA SCIENCE

Why do some companies fail to unlock the potential of A/B testing? I explore five overlooked conditions that hinder growth and how leadership can fix them.

Elio Amicarelli

Can LLMs replace human survey respondents?

AI research

A review of Verasight’s research on ‘Silicon Sampling’ and its limitations in market and political research.

Elio Amicarelli

From Research to Market: Commercial Applications of LLMs for Social Simulation

AI research

The concept of simulating humans and human society has become a rapidly growing commercial industry. Powered by Large Language Models, a new wave of startups is emulating human behavior, decision-making, and culture.

Elio Amicarelli

LLMs for Social Simulation: Advancements and Challenges

AI research

A brief summary of the key findings from both sides of the debate on Large Language Model (LLM) social simulation: advancements in ‘silicon sampling’ and the boundaries of emulation.

Elio Amicarelli

Book Overround: The Pricing Tactic to Profit Regardless of Sporting Outcomes

MODELING
SPBM SERIES

How do bookmakers ensure they remain profitable regardless of sporting outcome? Discover the overround, the price-setting tactic that builds a house advantage directly into the odds.

Elio Amicarelli

Beyond the Winner: The Case for Optimization of Game A/B Tests

PRODUCT DATA SCIENCE

Big game studios don’t just declare a winner and move on. They keep digging. Discover why optimizing a winning feature can double its impact and how small teams can do it efficiently.

Elio Amicarelli
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