Watch a Cricket Game through Seaborn and Matplotlib

Visualization of data points from an Indian Premier League T20 cricket game — Mumbai Indians vs Chennai Super Kings. In this article, I have visualized data from a recently concluded Indian Premier League (IPL) T20 game using Seaborn and Matplotlib libraries.

How Likely to Win the Game When a Team First Reach to X Points in NBA?

How Likely to Win the Game When a Team First Reach to X Points in NBA? As the NBA offenses evolve, the door will be open for scoring explosions which enable the comebacks even more possible in the future.

Simulating the 2020 NFL Season 100,000 Times

Simulating the 2020 NFL Season 100,000 Times. Predicting the outcomes of the entire 2020 NFL season by tracking how often each simulated universe yields a given result for each team

Predicting Formula 1 results with Elo Ratings

Building predictions with a model, data pipelines and a Monte Carlo simulation. Expected score is calculated by comparing the Elo ratings of two participants, and it's a value between 1 and 0. An expected score of 1 means the driver will always win a matchup, while an expected score of 0.5 means they'll win half the time.

Improving a Famous NFL Prediction Model

Improving a Famous NFL Prediction Model. Diving deep into the stats of the NFL to improve a famous model that has the potential to rival those in Vegas

Can an algorithm pick a winning NBA Fantasy Draft?

Can an Algorithm Pick a Winning NBA Fantasy Draft? Building a winning NBA draft team using data analysis, modeling and optimization for automated sports betting.

Obtaining sports data from an API using Python requests

As a data scientist, the ability to obtain data through an API is a critical skill. In this post, I provide a brief tutorial on obtaining soccer data from API-FOOTBALL, a RESTful API hosted by the RapidAPI marketplace.

The Best Tool for Decision Making in Baseball

The Run Expectancy Matrix Provides Far More Insight than at First Glance.I always thought that baseball managers were savants.

Ball Detection with Computer Vision AI in Sports

Ball Detection with Computer Vision AI in Sports. A quick view to the available solutions for automatic ball detection

How YOU Can Land a Sports Analytics Job

Sports analytics is a fascinating but enigmatic field. These are my tips for breaking into the field that I love. Sports analytics is a fascinating but enigmatic field.

Data Science, Music and Sports. Regressions- Recommender System

An experiment to assess the impact of music on running, and to develop a recommender system to enhance performance

Data Collection - Hypothesis Testing

Data Collection - Hypothesis Testing: An experiment to assess the impact of music on running, and to develop a recommender system to enhance performance.

Is it possible to stop Messi? A data perspective.

Or how I ended up analysing a Barcelona derby from 2009/10. This Messi analysis is a first step towards better understanding of the defensive side of football with respect to event data.

Analysis of After Timeout Plays in NBA

Analysis of After Timeout Plays in NBA - Often times coaches are praised because of their ability to execute After Timeout (ATO), but does that make them successful in general?

Using Data Analytics to Explore the Change in the MLB Baseball

Using Data Analytics to Explore the Change in the MLB Baseball - As you may have heard, there were quite a few home runs hit in Major League Baseball last season. The league shattered the record for most…