Back in March, my son competed in the 2018 Queen City Classic Chess Tournament. The tournament coordinators graciously provided the player results online, although those files no longer appear on the site. At the time, I posted on the challenge of downloading the match results and parsing the values. After that, I had intended to do some exploratory data analysis (EDA) on the data and, ideally, see what sort of machine learning models I might want to build against the data.

Well, I did do some EDA work, but since grew a little restless and moved on to other projects; so, I want to go ahead and publish the little bit of work I did do on the data. Maybe next year, I’ll get to more interesting data modeling.

The tournament was composed of 699 players from 134 teams. Kindergarteners through high school 12th graders competed. Rated and non-rated players competed. Here’s a visual of that distribution across the grades:

The largest team, Detroit City Chess Club, brought almost 100 players! Here’s a look at the top 10 largest teams:

The average team size, though, was 5.2 players:

There were 14 competition categories by age and rated and non-rated. Dragon Chess Center dominated most categories:

That’s all I’ll post here, but be sure to check out the notebook I put together that has a lot more analysis.