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. 2021 Aug 3;43(1):83–93. doi: 10.1055/a-1518-7778

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The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).

This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited.

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Fig. 6 — Analysis of home advantage according to performance indicators. Figure shows Home Advantage (HA) and Relative Home Advantage (RHA) (%) in sample PRECORONA, changes of Relative Home Advantage (ΔRHA) (%) in sample AFTER RESTART, effect size (d), and p value. Each cell contains data for the Bundesliga (grey) in first row and for Bundesliga 2 (light grey) in second row. Red lines inside bars indicate the change that would lead to home-away parity; ^# indicates applicable HA differences between home and away teams in PRECORONA; * indicates significant changes of RHA.