Earlier in the month we reported on Germany’s national team working with IT giant SAP for the current World Cup to add data to their training. Typically a strong team, it wasn’t until Tuesday that they really showed the force of their preparation.

Crowds were left slack-jawed as Germany scored an incredible seven goals against tournament favourites Brazil. The team expected to dominate the world cup, based on analysis of historical data, was in turn beaten by a team that put the very same into practice.

On the basis of data collected by students of Cologne’s Sport’s University, Germany’s team managers analysed huge amounts of research on the Brazilian team. The result of this analysis, which led to the victory on Tuesday, detailed information about all kinds of specifics on the five-time world cup winner: Typical moves, reaction to fouls, quality under pressure and even running styles.

So far no European time has been able to win a World Cup in Latin America, but that was before big data analysis entered the field. It has been a game-changing addition to the traditional training routine and this Sunday’s final might be a chance to advertise the impact big data analysis can have on a team’s performance.

Read more here.

(image credit: Stewart)



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