To Release BidIndex 2018

BidIndex – the Olympic bid rating system developed by and used to measure an Olympic bid’s potential for success – will have its 2018 edition premiered Friday.

The widely acclaimed mathematical model has been used to gauge the past five Olympic bid campaigns and accurately illustrated whether a short-listed bid was one of the leaders, or just an also-ran.

This complex model is a result of months of research and development by analysts with expertise in statistics, mathematics and the Olympic Bid process. Information for BidIndex is obtained from both public and inside sources as well as’s extensive Olympic bid archive.

While it is impossible for anyone to know which city will win a bid, BidIndex combines the current geopolitical and technical status of a bid and estimates how it might compete based on past voting patterns. Since the IOC does not always pick the best quality bid, BidIndex does not predict the winner or rank the bids. It is designed to measure how closely each bid compares with past successful bids.

“With only three cities in the race this time, it will be interesting to see if any one bid stands out” explained Rob Livingstone, Producer of

“I don’t think anyone expects any of the cities to miss the short-list, so for 2018 BidIndex can evaluate the final race right from the start.”

In the past five bid cycles, all of the eventual winners received high BidIndex ratings at the onset of their campaigns – and scored over 60 heading into the elections.

Annecy France, Munich Germany and PyeongChang South Korea have been accepted into the race for 2018. The IOC will declare candidates in June and make their final decision July 6, 2011 in Durban, South Africa.

BidIndex has inspired imitations but none can match the history, research and depth of analysis that goes into this rating system that has been developed by long-time professionals in the sports event bidding industry.

Full pre-release BidIndex information is available on – BidIndex Introduction – The Olympic Bid Rating System