Using league match results, we find patterns and knowledge about individual players as well as teams. Our exclusive player strength rating algorithms take into account men's and women's singles, doubles, mixed, combo, and tri-level matches.
TLA shares this knowledge in two ways:
First, we periodically post insightful analysis to the blog on our home page.
Second, we produce individual player and team reports that help address questions such as:
Michael Lewis's book Moneyball: The Art of Winning an Unfair Game (2003) showed that the collective wisdom of insiders and experts is subjective and often flawed. The democratization of information allowed the Oakland A's, a team with one of the smallest salary budgets, to successfully compete against teams with budgets that were multiple times larger. The book is often credited for changing the way that professional sports teams evaluate players. Teams began to use data and statistics, rather than the subjective experience of so called experts, to make decisions.
Now the recreational tennis player can use data and statistics to make decisions about their tennis play.
It is not uncommon for players to spend $200 on a racket (league players often have two or three in their bag), $100 for a pair of shoes, $250+ on tennis clothes, $100+ for accessories such as a tennis bag, bottles, towels, grips. Racket restringing runs $30+ on the low end. Most of these expenses are incurred at least once a year and often multiple times per year.
Lessons or training with a pro will run $65+ an hour. Some players take a lesson every week while others take a clinic a few times a year.
For a relatively very small amount, a player can now obtain reports, based on tennis data and statistics, that help achieve results on the tennis court.
Teams also can obtain reports, based on data and statistics, for about $3 a player. These reports can help build rosters, assemble and schedule line-ups, form doubles partnerships, scout opponents, and help reach team goals.
Tennis pros will find player reports a very strong tool to support their lesson plans. Tennis pros should Contact Us for more details..
Tennis League Analytics was founded by two data science consultants with extensive statistics backgrounds. Both principals have a combined 60 years of experience playing USTA at the 4.0 and 4.5 level. And both have many years of serving as captains in USTA leagues. One principal has an M.S. from MIT's Sloan School of Management and completed the school's Program in Management Science. The other principal worked as a Software Engineering Manager at EDS.
This combination of data analytics and subject matter expertise led to the development of mathematical algorithms that provide insights about how to approach match lineups, doubles pairings, team recruiting, and player training.
Player and team reports are produced using advanced data analytics and statistical techniques applied to publicly available tennis league results.