Tag Archives: sports

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

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Marcia Longa 2020 – race statistics

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

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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

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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

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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

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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

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Using Bayesian Inference to predict and bet on Italian Serie A Fotball

As my old timer readers know, I’be been using Bayesian Inference to predict and bet on various sporting events, such as FIFA World Cup, and IIHF World Championships. With some success. When the Italian premier division started for about a … Continue reading

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Scientific Gambling – Bayesian prediction & betting results from FIFA World Cup 2018

32 teams, 64 games.  3 different ranking models tested, FIFA’s official, a “wisdom-of-crowds” (static), and a dynamic version of the wisdom-of-crowds model. Prediction results: 67% of game outcomes correctly predicted. Betting results best strategy (max probability), with uniform betting on … Continue reading

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Capturing NMEA sentences over WiFi using Python

In order to figure out how the NMEA-WiFi Gateway deals with clients, e.g. if it expects any “handshake” or any other communication setup protocol, I decided to write a simulator mimicing the gateway, and then using iRegatta 2 from Zifago … Continue reading

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Making a living as a Professional Scientific Gambler using Bayesian Inference…?

As my readers know, over the past few weeks I’ve been conducting an experiment: Applying scientific betting on the just finished Ice Hockey World Championships.  By “scientific”, I’m referring to the exclusive use of statistical and mathematical models, simulation, and … Continue reading

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