Top Tweets for #SBdata
Creixen els delictes penals a Sabadell. Ho diuen les dades del @interiorgob a què ha accedit @DiariDeSabadell. Més delictes sexuals (+23,1%), tràfic de drogues (+46,9%) i robatoris de vehicles (+21,2%) #SBData
@StatsBomb has a timestamp column which can give more precise temporal information that minutes and seconds.
Convert it to 1000th of seconds to have a 'frameID' column
#SBdata
Visualization finally coming together. Took some inspiration from @FB_WHISPERS style.
Corner Delivery Zones from the World Cup (All Corners, those from the right mirrored to left).
@Statsbomb #SBData
Non Negative Matrix Factorization applied to @Statsbomb #SBData World Cup Data.
Model Components for Defensive Actions on the left,
for Passes and Offensive Actions on the right.
Visualizing pass frequencies and completion percentages for different pass types.
I used @StatsBomb #SBData
my next project....
A deck full of tutorials for beginners looking to (re)start their journey into football analytics
#StatsbombXTidyverse #rstats #CodeNewbie #tidyverse #SBdata #dplyr
A layer of crucial context is added by adjusting metrics based on the amount of possession
Using @StatsBomb free data in combination with the power of #dplyr ... calculating the time of in-play possession per team is easy!
#StatsbombXtidyverse #rstats #SBdata #CodeNewbie
I used @StatsBomb's free World Cup Data to build a viz to categorize player's passing profiles.
I split passes into 8 directions and 3 length classes (<15m, 15-30m, >30m).
I then compare each player's passing to avg completion %'s and to avg relative frequency of passes. #SBData
Some pass distribution radar! charts based on World Cup @StatsBomb Data.
Toni Kroos's Distribution really is remarkable.
Next up, differentiating ground and high passes.
#SBData
All free #SBData Passes plotted by Length and Angle. Art.
Is direction of play coded in the data, or do I have to infer it eg from goalkeeper positioning?
@petermckeever @FC_rstats
Isco v Toni Kroos
Isco completes more common passes than Kroos yet has a good number of highly unique passes.
whilst...
Kroos is the beast of above average uniqueness
Submit your comparison requests
#SBdata @StatsBomb
World Cup Best XI - Unique Attacking Passes per 90
#SBdata
@StatsBomb Free World Cup and Women's data breaks down the barriers to starting your journey with football analytics!
Well done guys!
How easy is it to plot Luca Modric's pressure actions colour by duration?
Easy!
#SBdata
Plotting Accumulative xG Totals with ggplot2
with @StatsBomb Free Data
https://t.co/sEDPPabQxE
#rstats #SBdata
Building a 'Unique' Passing Model
Part 1 is out....
Part 2 on it's way...
#SBdata https://t.co/GTE5MMvLcD
Building a 'Unique' Passing Model - Part 1 - Create the Underlying Mechanics
Using #rstats and @StatsBomb
https://t.co/fKZpMrfVSN
#SBdata
I created some horizontal pitch plots for both @matplotlib and bokeh (105x68m).
matplotlib function is adjustable in pitchsize, and can be fitted to @Statsbomb #SBdata format and offers a few predefined styles.
Code available at https://t.co/ujFfHFMJS4
Here are a few examples:
The passing model is coming along... fully article and code-through on completion
Really enjoying this @StatsBomb data
#SBdata #rstats
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