Bookmaker

This lib is meant to help you work with odds, for instance in gambling project.

To install use bower or npm

bower install bookmaker --save

npm install bookmakerjs --save

You have at the moment series of methods and you can view their use in test.js.

Run test:

mocha node_modules/bookmaker/test.js

API

fractionToPercent

fractionToPercent(numerator:Number, denomiator:Number) : Number

Return percent as fraction of 1.

fractionToDecimal

fractionToDecimal(numerator:Number, denomiator:Number) : Number

fractionToAmerican

fractionToAmerican(numerator:Number, denomiator:Number) : Number

decimalToFraction

decimalToFraction(decimal:Number): String

decimalToPercent

decimalToPercent(decimal:Number): Number

decimalToAmerican

decimalToAmerican(decimal:Number): Number

percentToDecimal

percentToDecimal(percent:Number): Number

percentToFraction

percentToFraction(percent:Number): String

percentToAmerican

percentToAmerican(percent:Number): Number

americanToDecimal

americanToDecimal(american:Number): Number

americanToPercent

americanToPercent(american:Number): Number

americanToFraction

americanToFraction(american:Number): String

winSingle

winSingle(decimal:Number, money:Number): Number winSingle(any:String, money:Number): Number - see parse function

winEachWaySingle

winEachWaySingle(decimal:Number, placeOdds:Number, moneyWin:Number, moneyPlace:Number): Number winEachWaySingle(any:String, placeOdds:Number, moneyWin:Number, moneyPlace:Number): Number

winEachWaySingleDetailed

See test.js

winAccumulator

winEachWaySingle(moneyWin:Number, moneyPlace:Number, [decimal:Number, placeOdds:Number], ...): Number

oddsEachWaySingle

oddsEachWaySingle(winOdds:Any, placeOdds:Any):Object - see test.js

combineOddsEachWay

combineOddsEachWAy(list:Array): Object - see test.js

combineOdds

combineOdds(list:array): Number - see test.js

parse

parse(any:String) : Number - decimal

Accepts:

• 1/4 fracitons
• 50% percents
• 1:5 odds (: mean divide sign)
• numbers as decimals

Author

Lukasz Sielski

Licence

MIT - just because