Category Archives: sports

Garmin Heart Rate Monitor – Data Analysis

A friend of mine is a keen endurance athlete, and he kindly provided me with a Garmin Heart Rate Monitor  GPS data file from one of his recent races, for analysis. The monitor collects data on time, position (lat,lon), altitude, … Continue reading

Posted in Bayes, Data Analytics, Pandas, Probability, PYMC, Python, sports, Statistics | Tagged , , , , , , , , | Leave a comment

Ski Tour 2020 Östersund – Race Analysis

I took the results from past Sunday’s Women’s Pursuit, 15 km, and did a bit of analysis.  (The official results can be found here) Since pursuit means that each racer starts the current race with a delay based on performance … Continue reading

Posted in Data Analytics, sports, Statistics | Tagged , | Leave a comment

Marcia Longa 2020 – race statistics

Below some stat’s from this year’s Marcia Longa Cross Country Skiing.   ‘    

Posted in Data Analytics, sports | Tagged , , | Leave a comment

Vasaloppet 2018 – race time analysis

An analysis of race times for the ~11000 men and ~2000 women that participated in 2018 Vasaloppet. For explanations of the graphs, see earlier posts on Marcialonga or Tour de Ski. [Btw, the weird looking vertical orange/blue “spike” in the … Continue reading

Posted in Data Analytics, Numpy, Pandas, Python, sports, Statistics, Web | Tagged , , , , | Leave a comment

Tour de Ski Final climb – does age matter for performance ?

In an earlier post, I analyzed data from the Marcialonga Ski race. Marcialonga is one of the classic long distance ski races, where both elite’ as well as amateurs compete together. In fact, the vast majority of the competitors in … Continue reading

Posted in Bayes, Data Analytics, Math, Numpy, Pandas, Probability, PYMC, Python, SNA, sports, Statistics | Tagged , , , , , , , , | Leave a comment

Tour de Ski 2019 Final Climb Analysis

Just a quickie analysis on the just finished race, comparing the climb times for women vs men, the top-28 of both genders. Once again, the results are consistent with my earlier findings on this topic: at elite’ level, the difference … Continue reading

Posted in Data Analytics, sports, Statistics | Tagged , | Leave a comment

Marcialonga Ski 2019 – some Analytics

Now, with the power grid finally – after 62 hours! – back in business, I’m able to continue my stats/analytics exploration of the past Marcialonga ski race. First, some basic stats about the race: Total number of participants: 5558, of … Continue reading

Posted in Bayes, Data Analytics, Numpy, Pandas, Probability, PYMC, Python, sports, Statistics | Tagged , , , , , , , , , | Leave a comment