NHL Visual-on of Cup of Stanley View
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Updated
Mar 26, 2022 - CSS
NHL Visual-on of Cup of Stanley View
I conducted a statistical analysis of seasonal fantasy football data from 2000 - 2019 using R language. I have applied data science/statistical principles to the project such as data transformation techniques, 2D visualization plots, linear modeling, measures of average and spread, and summary ranking tables.
Project that uses the Strava API to download and analyze cycling training data
Python library for querying API-Sports.io
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An exploration of an interesting dataset, which contains explicit records of hundreds of IPL matches.
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Visualise european soccer player's data
See the impact of any WNBA player.
A look at how rest impacts results in soccer and tennis
A soccer analytics project ranking players' offensive influence in the passing networks. Networks are built with Statsbomb event data. A custom xT grid for the targeted matches are generated using socceraction codes and combined with the starting & ending locations of the passes. This is the main weight in our Weighted PageRank Algorithm.
Package to let you easily represent and progress Bracket-style single elimination Tournaments, allowing you to focus on matchup logic and analysis without worrying about the boilerplate. Supports 2, 4, 8, 16, 32, 64...2^n starting teams.
a social network for team sports, athletes, and their fans
Nowadays, sports events live above all from their media coverage, which includes cheering up winners and writing down losers. Statitstics are used to underpin the own argumentation in this reports. But is there any cherry picking here? Are only those statistics used that make the report/commentary look completely logical? In order to give an ini…
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NHL prospect classifier based on scouting reports
My hockey data visualizations.
Repository of sports-related resources and links for R.
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