Part 1 of a point-by-point, deep-dive analysis into shot selection differences between men and women
Like me, you probably watched the latest Beach Volleyball tournaments and the epic race to qualify for the Olympics. You probably just loved watching volleyball. But I was excited about something else. I couldn’t wait to analyze a new batch of data. The FIVB doesn’t report out match stats like the AVP, so I gathered a new point-by-point dataset from past FIVB tournaments. In my first analysis, I examine the shot selection differences between men and women.
- The women’s game is more “crafty” than the men’s game. Women do more Continue reading “Battle of the Sexes: Top 3 Differences in Beach Volleyball”
My favorite visuals and analyses from a Tidy Tuesday community hackathon based on my Beach Volleyball database
TidyTuesday, a data science and R learning community, recently published my beach volleyball match database. I wanted to take the time to share some of my favorite community made use cases.
1. Ricardo Santos is the Most Traveled Player
Ricardo Santos traveled to 14 countries in 2005 alone, being one of the most traveled players on the tour! Shows some amazing charisma going from tournament to tournament.
Continue reading “The 5 BEST Beach Volleyball Data Analyses from a Tidy Tuesday Hackathon”
Player Performance Data Visualization
With the AVP Hawaii Open starting September 20th, I used my match database to examine recent player stat trends. The analysis covers all players currently scheduled to play in the tournament.
What’s the purpose of this visualization?
The intent is that players, coaches, fans, and commentators can see how different players have progressed over the last 2 years leading up to the Hawaii Open.
Players and coaches can specifically make adjustments to focus on key underperforming areas. They can also study their opponent’s strengths and weaknesses to make adjustments. Continue reading “Road to Hawaii – AVP Beach Volleyball Stat Trends”
Beach Volleyball Data
With the AVP season just around the corner (Huntington Beach on May 3-5), I thought it would be a good time to refresh the beach volleyball match database
The database now contains matches from the year 2000 all the way until April 6th, 2019.
Let’s examine some recent trends with the data update!
Continue reading “2019 AVP Season Data Primer, Player Trends, and More”
We use our machine learning model to predict ATP rankings
In our last blog post, we detailed our new machine learning forecasting app that predicts future rankings. The app updates automatically on a weekly cadence and we’ve pulled the most recent results into 2 tables below.
The current top 10 ATP players are forecasted to remain stagnant into August. This is after Zverev defended his title at the Citi Open and last week’s tournaments have been accounted for.
Continue reading “ATP Ranking Predictions for August 2018”
How recent ATP player trends impact future rankings before they happen, updated live
Welcome back tennis fans… and no, we didn’t forget about your thirst for tennis and data analytics! Our new web app allows you to easily see a player’s ranking history, similar to the ATP site, but with an added ranking forecast, packaged as an interactive visualization not available anywhere else!*
Check out the app here (15 second load time**):
More info below. Continue reading “Future Insights: Monthly ATP Ranking Forecast”
New match database that contains top players such as Phil Dalhausser, Nick Lucena, Kerri Walsh, and April Ross
Welcome to BigTimeStats, the TenniStats rebrand, now with beach volleyball match data. Drawing inspiration from Jeff Sackmann’s tennis match database, I’ve compiled all AVP and FIVB matches going back to year 2000, available as open source csv/excel files on Github. Continue reading “AVP & FIVB Beach Volleyball Match Database”