Wimbledon
2014

brought to you by

Game, Set and Match

import.io's advanced data acquistion toolkit gives you unparalled access to the world of web data:

Real-time, every time

Your data updates when your source does, whether it changes every day or every second (more)

Complete datasets

Give us five examples and we will crawl the world: entire sites' data structured in just a few clicks. Now, also on the command line! (more)

Engineered for scale

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Join our competition to find the best app built using our tennis APIs (listed below) - tweet us @importio with your best ideas to enter!

Our Tennis APIs

Tennis live scores

Retrieves all current in-play tennis games and their scores in realtime

Realtime

More: Data; API integration; Details; Source

Tennis records

This Crawler has retrieved the annual per-surface result history for tens of thousands of tennis players

50,000+ rows

More: Data; API integration; Details; Source

Tennis player location

Find out where tennis players live and where they were born

Realtime

More: Data; API integration; Details; Source

Tennis player stats

Find out all the key stats for all of the key tennis players with this Crawler

~200 rows

More: Data; API integration; Details; Source

Wimbledon Players to Watch

We've crawled all the stats for the players at Wimbledon 2014. Who's going to come out on top? We look at some key metrics.

Loading tennis stats...

Most career wins

{{data.most_wins.name}} ({{data.most_wins.country}})

Career wins: {{data.most_wins.matches_won}}

Singles ranking: {{data.most_wins.singles_ranking}} (highest: {{data.most_wins.singles_high_rank}})

Turned pro: {{data.most_wins.year_pro}} ({{2014 - data.most_wins.year_pro}} years ago)

Most wins this year

{{data.best_year.name}} ({{data.best_year.country}})

Wins this year: {{data.best_year.year_matches_won}}

Singles ranking: {{data.best_year.singles_ranking}} (highest: {{data.best_year.singles_high_rank}})

Turned pro: {{data.best_year.year_pro}} ({{2014 - data.best_year.year_pro}} years ago)

Tallest player

{{data.tallest.name}} ({{data.tallest.country}})

Height: {{data.tallest.height/100}}m

Singles ranking: {{data.tallest.singles_ranking}} (highest: {{data.tallest.singles_high_rank}})

Turned pro: {{data.tallest.year_pro}} ({{2014 - data.tallest.year_pro}} years ago)

Shortest player

{{data.shortest.name}} ({{data.shortest.country}})

Height: {{data.shortest.height/100}}m

Singles ranking: {{data.shortest.singles_ranking}} (highest: {{data.shortest.singles_high_rank}})

Turned pro: {{data.shortest.year_pro}} ({{2014 - data.shortest.year_pro}} years ago)

Oldest player

{{data.oldest.name}} ({{data.oldest.country}})

Birthday: {{date(data.oldest.birthday)}} ({{ago(data.oldest.birthday)}})

Singles ranking: {{data.oldest.singles_ranking}} (highest: {{data.oldest.singles_high_rank}})

Turned pro: {{data.oldest.year_pro}} ({{2014 - data.oldest.year_pro}} years ago)

Youngest player

{{data.youngest.name}} ({{data.youngest.country}})

Birthday: {{date(data.youngest.birthday)}} ({{ago(data.youngest.birthday)}})

Singles ranking: {{data.youngest.singles_ranking}} (highest: {{data.youngest.singles_high_rank}})

Turned pro: {{data.youngest.year_pro}} ({{2014 - data.youngest.year_pro}} years ago)

How it works

Tennis player stats

  • Crawler
  • ~200 rows
  • Schema
  • Advanced XPaths

Analysis

  • Python
  • import.io API
  • Open Source

Render

  • Javascript
  • AngularJS
  • Open Source

Players from around the World

Where are the Wimbledon competitors from?

How it works

Tennis player stats

  • Crawler
  • ~200 rows
  • Schema
  • Advanced XPaths

Tennis player location

  • Extractor
  • Realtime

Analysis

  • Python
  • import.io API
  • Google Geocode API
  • Open Source

Render

  • Javascript
  • AngularJS
  • Google Visualisation API
  • Open Source

Top performing countries

Most tennis games won, by country

How it works

Tennis player stats

  • Crawler
  • ~200 rows
  • Schema
  • Advanced XPaths

Analysis

  • Python
  • import.io API
  • Open Source

Render

  • Javascript
  • AngularJS
  • Google Visualisation API
  • Open Source

Career Win Percentage v Played

All surfaces

Who's the best overall player? We could look at career win percentage, but this chart weighs it against the total games they played:

Loading stats...

Grass only

Who would do better on Wimbledon's famous grass courts? Let's see how the stats change for the grass surface only:

Loading stats...

How it works

Tennis Annual Records

  • Crawler
  • 50,000+ rows
  • Schema
  • Advanced XPaths

Analysis

  • Python
  • import.io API
  • Open Source

Render

  • Javascript
  • AngularJS
  • Google Visualisation API
  • Open Source