19.10.16
Saves ranking for handball teams at Champions League (Men). Groups A, B. @FCBhandbol at the top/(Ranking % paradas @ehfcl) #ehfcl #handball
Saves ranking for handball teams at Champions League (Men). Groups A, B. @FCBhandbol at the top/(Ranking % paradas @ehfcl) #ehfcl #handball
Handball graph: Champions League (Men). Home/Visitor profiles and performance change. Groups A, B #ehfcl #handball
Handball graph: Champions League (Men). Home/Visitor profiles and performance change. Groups A, B #ehfcl #handball
17.10.16
Handball: the signal and the noise
How to interpretate the data and graphics that are produced for a handball competition?
Let's will see an example for the handball match Veszprem - Kiel of 16/10/2016
If we consider the full match, withouth filters, this is the attacking networks graphic:
Even that, we realize that there are not back-wings connection at Veszprem and just only one counterattack at Kiel, as well as pivot importance for Hungarians and balanced distribution for Germans
What happens if we try to "tune in" the interpretation of the match?
Now we have more concrete information: Veszprem's Letf back playmakes usually but don't shoot and Kiel pass the ball rarely to the right side in this "equal number situations"
For "Man Extra" situations, we found another teams approach:
Veszprem combines between back players and counterattack once, not exploding wings for positional majorities as expected
And finally, what are the ways to attack at "Minority" situations for both teams?
The focus of Kiel in this man down attacks is on center-back
To filter the numerical situations could be the first "tuning" approach to convert noise to signal at handball analysis
12.10.16
Balonmano: gráficos conjuntos de perfiles de equipos masculinos de Champions League y de ligas alemana, francesa, española y SEHA #balonmano
Handball: graphic. Team profiles (men) of main club competitions
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