As soon as a player is drafted, we compare them to historical stars based on their play styles. Let’s use their stats and some similarity metrics to create more concrete comparisons.
With the 2019 draft unclear looking inconsistent after the top 3, let’s try to predict the best scorers in the draft with machine learning. Who will be the hidden gem who could shine as a scorer?
Many claim tanking is worth it because players drafted earlier have a higher chance of being good. However, the draft is random. Let’s use Markov chains (a random process) to analyze if tanking is worth it.
In the modern NBA, players serve roles that are much different from their expected position. Let’s use k-means clustering to group the NBA into 12 roles.
Over the past few months, we’ve been using machine learning to predict the MVP and All-NBA teams. Now that the season is done, let’s update these predictions and predict our final MVP and All-NBA teams.
Now that we’re over halfway done with the regular season, the All-NBA picture is clearing up. By creating accurate models which examine the factors that lead each historical All-Star and top player to make (or miss) an All-NBA team, we can predict each player on all 3 All-NBA teams.
This is the second installment of predicting the 2019 MVP with machine learning. Since the first installment, James Harden has strengthened his MVP case, while Giannis Antetokounmpo has continued to lead the NBA-leading Bucks. Meanwhile, Paul George’s hot streak has shaken up the rest of the pack.
With the halfway point in the year passing, the MVP discussion is heating up. James Harden and Giannis Antetokounmpo find themselves in a tight 2-man race for MVP. Let’s see who should win based off historical precedent for MVP vote share.
The CBA creates a price ceiling for the top NBA players. Though there are lots of max contract players who are being overpaid, the league’s best remain underpaid. Let’s take a simple statistical look to adjust the top 10 players’ salary to the rest of the league.
Out of the first round in every draft class, on average, only 1 player makes the hall of fame, and about 2-3 players make an All-Star game at some point in their career. Let’s use classification models to see who those players are from the 2017 draft class.