The results of Orie's big data project have been astounding so far. Millions of viewers all over the world saw Sven Kramer (men’s 5,000 metres), Carlijn Achtereekte (women’s 3,000 metres) and Kjeld Nuis (men’s 1,000 and 1,5000 metres) skating to gold. And Patrick Roest (men’s 5,000 metres) won silver. Less visible is what exactly lies behind these successes. For many years, Orie has been using test data generated by skaters to calculate speed and stamina. For Pyeongchang however, he went one step further and collaborated with Leiden-based data scientist Arno Knobbe.
The big data approach, whereby computing power is used to perform calculations on big volumes of data has led to many useful insights. These include the relation between the type of training and the moment, duration and intensity of the training. A skater who has profited hugely from this is Kjeld Nuis. Data showed that stamina training in the morning proved ineffective for him, leading to an improvement in his training programme - and two gold medals in Pyeongchang.