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An application for providing real-time assistance in fantasy baseball drafts

TypeScript 71.87% HTML 12.57% JavaScript 12.04% CSS 3.52%

draftninja's Introduction

Draft Ninja

The first generation of this application is a one-off proof-of-concept draft helper for a specific 2019 draft. Once it's tried out, version two should be less hard-coded.

draftninja's People

Contributors

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Watchers

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draftninja's Issues

POC: Diminishing Returns valuation

Write code and tests to demonstrate the diminishing returns valuation for a single statistic. This formula says that, for a given positive statistic, a player's value is equal to either their output divided by the average if their output <= mean or the square root of their projected output divided by the mean output if their projected output is greater than 100%.

For example. If the mean output is 20 home runs, the valuation of 40 home runs is ~1.414 and the valuation of 15 home runs is 0.75.

POC: Linear valuation above mean, single statistic

Write code and tests to demonstrate the linear valuation above mean for a single statistic. This formula says that, for a given positive statistic, a player's value is equal to their projected output divided by the mean output.

For example. If the mean output is 20 home runs, the valuation of 30 home runs is 1.5 and the valuation of 15 home runs is 0.75.

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