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Year: 2024
Project Name: OpticBets
Category: Data Science
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One Liner:

Algorithm-based sports predictions

Abstract:

Optic Bets leverages machine learning algorithms to enhance sports predictions, targeting niche markets and exploiting sportsbook inaccuracies. By integrating historical data with advanced analytics, we offer stakeholders a competitive edge in exploiting sportsbook odds.

Description:

Optic Bets is addressing the challenge of sports data analysis by developing a machine learning algorithm for accurate sports event predictions. Focused on smaller market sports and exploiting inaccuracies in sportsbook expected values, we blend historical data and statistical analysis with advanced machine learning techniques to provide meaningful, data-driven insights. This approach empowers stakeholders in the sports industry to gain a strategic edge in niche sports markets and against flawed sportsbook odds.

Video: https://1513041.mediaspace.kaltura.com/media/OpticBets+Senior+Design+Final+Presentation/1_qwoghqz6

Team Members

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Nataniel Saadon

nataniel.pinchas.saadon@drexel.edu

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Nikhil Solanki

nikhil.solanki@drexel.edu

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Vishal Tailor

vishal.nitin.tailor@drexel.edu

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Manav Patel

manav.r.patel@drexel.edu

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Jack Nguyen

jack.duc.nguyen@drexel.edu

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Sahil Gill

sahil.gill@drexel.edu

Advisors

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Jeff Salvage

jeff.k.salvage@drexel.edu

Stakeholders

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Sean Grimes

spg63@drexel.edu