Bayesian Swiss Explanation
Timaru Bike Polo has done everything they can to ensure that players at WHBPC VII get the best experience. As part of this effort they have joined forces with Australasian polo’s resident mathematician (well, quantum physicist to be precise) to develop a staging and ranking system that uses the power of science and technology to be the best it can possibly be.
Advantages & disadvantage
The advantages are:
In layperson's terms
The Bayesian Swiss system uses an algorithm that takes the score from your game and compares it to the result from every other game that has already been played.
Using this data it assigns each team a “strength rating”. The system will match up teams with a similar strength rating, in order to get the most relevant information.
Put simply, your team’s strength rating depends upon the results of your games, and the results of your former opponent’s games.
in science we trust
In the field of probability Bayesian statistics are currently the most accepted way to estimate the likelihood of something, such as the potential result of a bike polo game, when you don’t have all the data. Until we can play a full round robin every tourney, this is the best science has got.
If you are interested in the nuts and bolts of the system visit the Wikipedia page that explains the method of Bayesian Inference and the one explaining the Markov chain Monte Carlo - these are the algorithms the system uses.
If you have more questions you are welcome to buy polo's quantum physicist (Andrew Hayward) a couple of beers, and he will be happy to answer them.