Our "base" rankings algorithm is calculated using race results, race entry fee, how far back the race was run and the class of the race. We then apply this base algorithm to rate the difficulty of every race ever ran and reapply the weightings to arrive at our LIR ranking (which is the equivalent of an ELO rating in chess for example).
With this information now firmly in our vault, we will be building breeding tools, horse and race analysis and market pricing models in the future. The sky is the limit!
We are also building out an entire NFT ecosystem, stay tuned for more on this.
Finally, check out some of my previous work, building an Australian horse racing selection algorithm using data from every race over the past 6 years and incorporating 144 factors at gavonebet.com