Spss statistic software v 26

To highlight significant differences, statistical analysis was performed using IBM SPSS Statistic software (v. 26) (Chicago, IL, USA). The ANOVA single factor test was applied to analyze the centesimal analysis data, with the significance threshold set at 0.05, with the aim of comparing the composition of the two raw materials (CGB and CSS). The Kruskal–Wallis test was applied to analyze data from the analysis of phenolic compounds and caffeine, with a significance threshold set at p < 0.05
The aim was to compare the content of these compounds between the two raw materials (CGB and CSS), and between the two extracts (degreased CGB and CSS) obtained with enzyme-assisted extraction. Regarding the protein extraction efficiency, the homogeneity of the variance of the data was verified with the Levene test and the Kruskal–Wallis test was applied to evaluate statistically significant differences between the samples (p < 0.05).

Data are expressed as mean ± standard deviation (SD) and were analyzed by a non-parametric binomial test or by Mann–Whitney U test with IBM^® SPSS^® Statistic software v.26 (IBM, Armonk, NY, USA). Two groups were conducted to evaluate the differences between back and front field positions (Group 1, goalkeepers and defenders; Group 2, midfielders and forwards). Correlations were analyzed by the non-parametric Spearman’s correlation. p values p ≤ 0.05 were considered statistically significant.