Aggie Sports Analytics

?? Want to dive into sports analytics, media, business, or technical projects? Aggie Sports Analytics is recruiting for the 2024-2025 year! ?? Join our tight-knit community where you'll collaborate on real-world projects, gain hands-on experience, and build connections that will last well beyond graduation. Whether you're passionate about data, marketing, or business development, ASA has a place for you. ?? Check out our key dates of recruitment below, and don't miss out on this opportunity. We’re excited to welcome new members to ASA! ?? Ready to take the next step? Learn more and apply here: https://lnkd.in/eDhtTEYq #Recruitment #UCDavis #Data #Sports #Analytics

A huge thank you to everyone who joined us for our guest speaker event, Breaking Into Tech with Sajjaad Khader, in collaboration with Muslim Tech Collaborative! ?? Sajjaad shared invaluable insights on the 3 R's—Resume, Referral, and Readiness—to help undergraduate students navigate their way into the tech industry. We cannot thank him enough for taking the time to speak with us this past week! ??? Plus, special thank you to Muslim Tech Collaborative for the help in coordinating and setting up this event. Finally, shoutout to Luis Cortez and Salvatoré Martinez for capturing the incredible moments throughout the night! ?? Stay tuned for more exciting events and opportunities from Aggie Sports Analytics this year! ?? #AggieSportsAnalytics #BreakingIntoTech #Resume #Referral #Readiness

Attention all Aggies! Aggie Sports Analytics and Muslim Tech Collaborative are excited to announce: Breaking into Tech with Sajjaad Khader! ?? Join Sajjaad IN PERSON as he breaks down how to make the most with your degree and break into the tech industry. ?? This event is open to all UC Davis students! ?? ?? Tuesday, October 1st, 8-9 PM ?? TLC 1010

I am beyond proud to share that last week, I completed my term as Vice President of Aggie Sports Analytics, a unique club that bridges the gap between sports enthusiasts and computer scientists alike. Although a very bittersweet goodbye, I remain incredibly grateful and honored to have watched this club grow from a small group of 30-ish passionate individuals, into the 100+ member powerhouse that it is today (even while maintaining less than a 25% acceptance rate!). A huge shoutout (and thank-you) to the rest of the 2023-24 executive board, whose dedication clearly has no limits: Chris Lo, Vikram Choudhry, Abhi Sharma, Andrew Hale, and Soumil Gad. And, a very warm welcome to the incoming executive board (including my successor, Jason Yang), who will undoubtedly lead the fastest-growing CS club on campus to new heights. P.S.: If you're a UC Davis student looking for an incredibly tight-knit, fun, and inspiring community of inventors and developers, look no further than Aggie Sports Analytics! ???

I’m thrilled to share that our team’s hard work with Garde has paid off immensely! We recently secured first place in the Aggie Sports Analytics case competition. Garde is an innovative AI-driven fencing coach that uses computer vision to identify inefficiencies in a fencer’s form and provides AI-generated feedback for improvement. Additionally, coaches can sign up to access their fencers’ videos and analytics, enabling them to offer personalized feedback for further development. A huge thank you to everyone who made this possible: ? My amazing team: Rishit Das, Sujash Barman, Matthew Wang, and Vedant Gopal. ? The incredible club that organized this event: Aggie Sports Analytics. ? Our client: Simon Pitfield. ? The judges: Fiona L., Gabby T., Tess Sussman, and Kabeer Singh Thockchom. Although the year has come to a close, this is just the beginning for Garde!

This quarter, I had the privilege to work with Aggie Sports Analytics on a fascinating project centered around Esports, specifically "League of Legends." My focus is on predicting game outcomes solely based on in-game data – a challenge that sparked my curiosity. My journey began with the development of a web scraping algorithm, designed to gather past statistics from professional matches and the latest game updates. Through data cleaning and categorical encoding, I transformed character names into numerical values based on their respective performance metrics. My investigation encompassed two distinct data representations: the first involved analyzing a single professional team's pick and ban set per observation, while the second incorporated both teams' selections with a singular outcome feature as the label. To evaluate the feasibility of predicting game outcomes, I applied a variety of machine learning models, including TensorFlow's Feed-Forward ANNs, Logistic Regression, SVM, Decision Trees, and Random Forest algorithms. The results revealed intriguing insights: all models exhibited an accuracy ranging between 50% to 54%. To validate these findings, I cross-referenced them with external sources, confirming similar accuracies within the 50% range. It became evident that while measurable factors significantly influence game outcomes, other elements such as "luck within a game" which also play a huge factor in a team winning or not remain unmeasurable. Engaging in this research was an enriching experience, allowing me to expand my expertise independently while contributing to Aggie Sports Analytics. I appreciate the opportunity that the club gave me last Friday to present my project, enabling me to share my passion with my peers. I also want to have special thanks to my project manager, Andrew Hale, for his invaluable guidance, and to our club president, Vikram Choudhry, for allowing me to be with this amazing organization. I'm excited to continue exploring the topic of Esports analytics and its implications in the broader sporting landscape.

I am tired of losing in my Fantasy league every year ?? Arnav Akula, Matthew Wang, and I, led by Vishal Shenoy as our Project Manager from Aggie Sports Analytics created HIKE: an AI-powered Fantasy Sports Chatbot that helps with all of your Fantasy sports questions and queries. From asking who to draft for your fantasy team, to asking whether or not specific trades are good, and even real-time player stats for how the player is currently preforming right now, this application is destined to save your fantasy team this season. By using frameworks such as StreamLit, Pandas, Statsmodels, and LangChain, we were able to reach and accomplish our goals and create this Fantasy Chatbot application. Fed-up with losing? Want to become the next Fantasy League GOAT? HIKE has got you covered ???? #sports #AI #llm

This Friday, I had the opportunity to participate and place FIRST in Aggie Sports Analytics's Case Competition. This showcase featured several project teams and independent researchers pitching and displaying the work they had accomplished this quarter. I was able to successfully show my Exploratory Data Analysis to answer the question that plagues the NFL community right now "Should the NFL ban synthetic turf fields? (based on injury concerns)" In this presentation, I outlined my inspiration for the project, explained how I found the data I used, explained several multivariate visualizations I created, and eventually concluded and addressed stakeholders. In this project, I used data manipulation tools in Python such as Pandas and NumPy, and data visualization libraries such as Seaborn and Matplotlib as well as SciPy Stats for my statistical analysis. Throughout this project, I had many challenges, as the data that was available was not ideal. My initial idea was to make an Injury Prediction algorithm using TensorFlow's Feed-Forward ANNs. However, after a lot of analysis, I concluded the data was insufficient to give me an accurate and deployable model. I instead pivoted to making an EDA to see if the data was able to answer this question that I had long though of. As I was an independent research contributor this project cycle, I competed against 2 others on who could deliver the best presentation and I ended up winning my category. Special shoutout to Andrew Hale, Vikram Choudhry, and Chris Lo for supporting me in this project cycle. I can't wait to contribute in the spring cycle!