Improving Algorithms for Fantasy Basketball

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Rosenof, Zach
Format: Preprint
Veröffentlicht: 2023
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866914940807282688
author Rosenof, Zach
author_facet Rosenof, Zach
contents Fantasy basketball has a rich underlying mathematical structure which makes optimal drafting strategy unclear. A central issue for category leagues is how to aggregate a player's statistics from all categories into a single number representing general value. It is shown that under a simplified model of fantasy basketball, a novel metric dubbed the "G-score" is appropriate for this purpose. The traditional metric used by analysts, "Z-score", is a special case of the G-score under the condition that future player performances are known exactly. The distinction between Z-score and G-score is particularly meaningful for head-to-head formats, because there is a large degree of uncertainty in player performance from one week to another. Simulated fantasy basketball seasons with head-to-head scoring provide evidence that G-scores do in fact outperform Z-scores in that context.
format Preprint
id arxiv_https___arxiv_org_abs_2307_02188
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Improving Algorithms for Fantasy Basketball
Rosenof, Zach
Methodology
Fantasy basketball has a rich underlying mathematical structure which makes optimal drafting strategy unclear. A central issue for category leagues is how to aggregate a player's statistics from all categories into a single number representing general value. It is shown that under a simplified model of fantasy basketball, a novel metric dubbed the "G-score" is appropriate for this purpose. The traditional metric used by analysts, "Z-score", is a special case of the G-score under the condition that future player performances are known exactly. The distinction between Z-score and G-score is particularly meaningful for head-to-head formats, because there is a large degree of uncertainty in player performance from one week to another. Simulated fantasy basketball seasons with head-to-head scoring provide evidence that G-scores do in fact outperform Z-scores in that context.
title Improving Algorithms for Fantasy Basketball
topic Methodology
url https://arxiv.org/abs/2307.02188