zipf_race: Handicap a race using one race

In durtal/RcappeR: Tools to aid the analysis and handicapping of Thoroughbred Horse Racing

Description

Assess the performance of a winner (ie handicap) of a race using race standardisation; which uses the performances of runners in a different, but similar, race for this assessment. It is called by zipf_hcp and zipf_init.

Usage

zipf_race(race, btn_var, race_2, rating = NULL)

Arguments

race	dataframe of race to handicap
btn_var	name of variable which contains the margins between the horses
race_2	dataframe of a race to be used to handicap race
rating	name of ratings variable (if applicable) in race_2

Details

The method of race standardisation used was first explained by Simon Rowlands and uses Zipfs Law. The difference at the weights, from the race to be handicapped, is applied to the second race, creating a vector of possible ratings the victor could have achieved. This is where Zipfs Law plays its part, as depending on the finishing position, different weights are assigned to each of the ratings in the vector, placing more significance on horses towards the front of the field.

Source

Article by Simon Rowlands explaining use of Zipf's Law:

https://betting.betfair.com/horse-racing/bloggers/simon-rowlands/simon-rowlands-on-handicapping-060710.html

durtal/RcappeR documentation built on May 15, 2019, 6 p.m.