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dataviz for sports 'n' stuff
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Baby England : Scout Onwards | Sports Data Challenge
https://sportsdatachallenge.wordpress.com/2016/04/23/baby-england-scout-onwards
Dataviz for sports 'n' stuff. Baby England : Scout Onwards. April 23, 2016. April 23, 2016. A post about scouting (a topic close to my heart) 6-year olds grabbed my attention today:. Hilarious. My mum could pick the stand out from a group of 6 yr olds and luck out on the 1 in a zillion making it pic.twitter.com/vwsbHxp5KA. Mdash; Paul Riley (@footballfactman) April 22, 2016. The post is an clipping from Richard Foster’s article in The Guardian. Let’s delve deeper…. Queue The Violins :. The England strike...
A Total Beginners Guide to Web Scraping Football Data – Part 3 | Sports Data Challenge
https://sportsdatachallenge.wordpress.com/2016/10/04/loop-through-the-player-links-and-collect-the-name-and-tm-value-of-the-players
Dataviz for sports 'n' stuff. A Total Beginners Guide to Web Scraping Football Data Part 3. October 4, 2016. October 4, 2016. This mini-tutorial series aims to give the total beginner a few pointers in the direction of scrapping football data from the web. Part 1 : Introduction and Scrapping a List of Web Links of Clubs. Part 2 : Loop Through the Web Links and Scrape a List of Web Links of Players. Part 3 : Loop Through the Player Links and Collect the Name and TM Value of the Players. We create a string...
Baby Scouting : World Edition | Sports Data Challenge
https://sportsdatachallenge.wordpress.com/2016/05/23/baby-scouting-world-edition-2
Dataviz for sports 'n' stuff. Baby Scouting : World Edition. May 23, 2016. The other day I wrote a piece that used a bit of data to question peoples beliefs (on both sides of the spectrum) about when should English Premier League clubs start to recruit players ( Baby England : Scout Onwards. The piece stimulated a bit of debate on Twitter with two camps of thought clearly emerging; 1) Talent is Talent – Scout them early! 2) What the hell are they doing! Camp 1: Talent is Talent – Scout them early! The ba...
sportsdatachallenge | Sports Data Challenge
https://sportsdatachallenge.wordpress.com/author/sportsdatachallenge
Dataviz for sports 'n' stuff. A Total Beginners Guide to Web Scraping Football Data Part 3. October 4, 2016. October 4, 2016. This mini-tutorial series aims to give the total beginner a few pointers in the direction of scrapping football data from the web. Part 1 : Introduction and Scrapping a List of Web Links of Clubs. Part 2 : Loop Through the Web Links and Scrape a List of Web Links of Players. Part 3 : Loop Through the Player Links and Collect the Name and TM Value of the Players. We create a string...
About | Sports Data Challenge
https://sportsdatachallenge.wordpress.com/about
Dataviz for sports 'n' stuff. DataViz challenge for the sports analytics community – aiming to improve visual creativity and standards across the community via healthy competition… and posting stuff of my own. Create a free website or blog at WordPress.com.
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PDO and Shot Location | thebubblegame
https://thebubblegame.wordpress.com/2013/11/26/pdo-and-shot-location
Expected PDO →. November 26, 2013 · 7:09 am. PDO and Shot Location. This is kind of obvious, but I’m not sure anyone’s actually looked at the relationship yet. For shot location data, I’m just using the % of shots taken and conceded inside the box (taken from WhoScored) and the PDO data is taken from one of @JamesWGrayson’s. Data dumps. WhoScored data means I’m limited to the last 4 seasons and PDO data limits me to the PL. Repeatability (sample is big 5 leagues over 4 seasons). Expected PDO →. Analysing...
Control | thebubblegame
https://thebubblegame.wordpress.com/2015/01/28/control
January 28, 2015 · 7:27 am. This is a follow up to my last post. The chart below shows shot rates with the score tied in pink, and in black, the shots for rate when losing with the shots against rate when winning. (Better teams in the top right; worse in the bottom left and lower event teams in the top left; higher event in the bottom right). Or is it an unwillingness to change approach to suit the situation? Of PDO in different game states suggests that it really should be. Leave a Reply Cancel reply.
July | 2013 | thebubblegame
https://thebubblegame.wordpress.com/2013/07
Monthly Archives: July 2013. July 23, 2013 · 2:38 pm. United vs. City. Plenty of digital ink. So what edge have Manchester United found? My sample is the Premier League and La Liga in the 12/13 season. Personally, I think I’ve gone a little too deep here. Much simpler things can explain the 20 goal gap. United ‘scored'(? I don’t have the data to show set-piece conversion percentages over the last 5 years, so this could all be nonsense. July 20, 2013 · 3:07 am. With or Without You Analysis of Real Madrid.
January | 2015 | thebubblegame
https://thebubblegame.wordpress.com/2015/01
Monthly Archives: January 2015. January 28, 2015 · 7:27 am. This is a follow up to my last post. The chart below shows shot rates with the score tied in pink, and in black, the shots for rate when losing with the shots against rate when winning. (Better teams in the top right; worse in the bottom left and lower event teams in the top left; higher event in the bottom right). Or is it an unwillingness to change approach to suit the situation? Of PDO in different game states suggests that it really should be.
Some Graphs | thebubblegame
https://thebubblegame.wordpress.com/2014/12/23/some-graphs
Another Shot Metric →. December 23, 2014 · 2:43 am. Expected PDO calculated from game state and the % of shots taken/conceded inside the box for the 14/15 season. Same graph for the 13/14 season. Good/Lucky graph for the 14/15 season using shots inside ratio and the difference between PDO and exp PDO. Data taken from objective-football.blogspot.com.es. Another Shot Metric →. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Football by the numbers.
September | 2013 | thebubblegame
https://thebubblegame.wordpress.com/2013/09
Monthly Archives: September 2013. September 4, 2013 · 5:09 am. Where Moyes is similar to Ferguson is that they are both reactive managers. In every game under Ferguson, United made small, tactical tweaks to exploit weaknesses and nullify opponents’ strengths. Moyes shares the same obsessive preparation and attention to detail. Of course he’ll need to tone it down from ‘game plan’ to ‘tweaks’, but hopefully that’ll come with time. De Gea’s long passes vs. Chelsea. Van Persie career Goals/90. There is a mu...
November | 2013 | thebubblegame
https://thebubblegame.wordpress.com/2013/11
Monthly Archives: November 2013. November 26, 2013 · 7:09 am. PDO and Shot Location. This is kind of obvious, but I’m not sure anyone’s actually looked at the relationship yet. For shot location data, I’m just using the % of shots taken and conceded inside the box (taken from WhoScored) and the PDO data is taken from one of @JamesWGrayson’s. Data dumps. WhoScored data means I’m limited to the last 4 seasons and PDO data limits me to the PL. Repeatability (sample is big 5 leagues over 4 seasons).
Falca-oh. | thebubblegame
https://thebubblegame.wordpress.com/2014/09/03/falca-oh
Some Graphs →. September 3, 2014 · 7:33 am. Van Persie, di Maria, Rooney and Mata all out-produce Falcao. His role will presumably be as third choice striker replacing Welbeck. Even there he looks a poor choice. His 26-28 year old seasons barely edge out Welbeck’s 21-23 year old seasons. United have outscored Falcao’s clubs by 58 goals over the last 3 seasons so perhaps such a direct comparison is unfair. Some Graphs →. Leave a Reply Cancel reply. Enter your comment here. Address never made public).
thebubblegame | Football Stats in bubble form | Page 2
https://thebubblegame.wordpress.com/page/2
Newer posts →. September 4, 2013 · 5:08 am. Managerial Stability and TSR. There is a much better correlation from year n to year n 1 at a ‘stable’ club. Of course, if a chairman is more likely to fire a manager, he might also be more willing to buy and sell players, which could increase the effect. I don’t know how many (if any) of the models here. September 4, 2013 · 5:06 am. Post Transfer Window Predictions. I had intended to add subjective predictions for comparison, but an updated version of the abov...
September | 2014 | thebubblegame
https://thebubblegame.wordpress.com/2014/09
Monthly Archives: September 2014. September 3, 2014 · 7:33 am. Van Persie, di Maria, Rooney and Mata all out-produce Falcao. His role will presumably be as third choice striker replacing Welbeck. Even there he looks a poor choice. His 26-28 year old seasons barely edge out Welbeck’s 21-23 year old seasons. United have outscored Falcao’s clubs by 58 goals over the last 3 seasons so perhaps such a direct comparison is unfair. Middot; Football Stats in bubble form. Blog at WordPress.com.
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Sportsdatabase - Sportarchiv
Men's 110 m hurdles. Men's 400 m hurdles. Men's 4x100 m relay. Men's 4x400 m relay. Women's 80 m hurdles. Women's 4x100 m relay. Men's 100 m freestyle. Men's 400 m freestyle. Men's 1500 m freestyle. Men's 100 m backstoke. Men's 200 m breaststroke. Men's 200 m butterfly. Men's 4x200 m freestyle relay. Men's 4x100 m medley relay. Women's 100 m freestyle. Women's 400 m freestyle. Women's 100 m backstroke. Women's 200 m backstroke. Women's 100 m butterfly. Women's 4x100 freestyle relay. Men's 110 m hurdles.
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Erweitern Sie Ihre Publishing-Plattform mit dem DiOmega Sportdatencenter und begeistern Sie Ihre Nutzer mit einzigartig umfangreichen Sportnachrichten. Einfach hochwertigen Content anbieten." title="Mehr aus Sportdaten machen und ganz. Einfach hochwertigen Content anbieten." /. Mehr aus Sportdaten machen und ganz. Einfach hochwertigen Content anbieten. User-Benefit erhöhen und sportinteressierte Nutzer begeistern. Publishing-Plattform ausbauen und attraktiver gestalten. Aktive und sportinteressierte Nutz...
DiOmega Sportdatencenter
Erweitern Sie Ihre Publishing-Plattform mit dem DiOmega Sportdatencenter und begeistern Sie Ihre Nutzer mit einzigartig umfangreichen Sportnachrichten. Einfach hochwertigen Content anbieten." title="Mehr aus Sportdaten machen und ganz. Einfach hochwertigen Content anbieten." /. Mehr aus Sportdaten machen und ganz. Einfach hochwertigen Content anbieten. User-Benefit erhöhen und sportinteressierte Nutzer begeistern. Publishing-Plattform ausbauen und attraktiver gestalten. Aktive und sportinteressierte Nutz...
sportsdatachallenge.wordpress.com
Sports Data Challenge | dataviz for sports 'n' stuff
Dataviz for sports 'n' stuff. A Total Beginners Guide to Web Scraping Football Data Part 3. October 4, 2016. October 4, 2016. This mini-tutorial series aims to give the total beginner a few pointers in the direction of scrapping football data from the web. Part 1 : Introduction and Scrapping a List of Web Links of Clubs. Part 2 : Loop Through the Web Links and Scrape a List of Web Links of Players. Part 3 : Loop Through the Player Links and Collect the Name and TM Value of the Players. We create a string...
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