## 4 Results
### Comparative Variance Analysis of Basketball Versus Football
#### 4.2.2 Perceptual Differences Across Professional Roles  
While the Kruskal-Wallis tests by professional role did not yield statistically significant differences, several variables exhibited moderate effect sizes, suggesting practical relevance. Notably, AppReward (\(\epsilon^{2}\) = 0.0281), AppPay (\(\epsilon^{2}\) = 0.0248), and AppTickets (\(\epsilon^{2}\) = 0.0226) revealed profession-based variation in how blockchain applications are perceived. For ex  
\begin{table}
\begin{tabular}{l c c c c c c c c c c c c} \hline \hline
**Kruskal–Wallis** & \multicolumn{4}{c}{**Sport**} & \multicolumn{4}{c}{**Gender**} & \multicolumn{4}{c}{**Profession**} \\ \hline  & \(\mathbf{\chi^{2}}\) & **df** & \(p\) & \(\epsilon^{2}\) & \(\mathbf{\chi^{2}}\) & **df** & \(p\) & \(\epsilon^{2}\) & \(\mathbf{\chi^{2}}\) & **df** & \(P\) & \(\epsilon^{2}\) \\ \hline CryptoSponsorship & 0.01 & 1 & 0.92 & \(3.51\times 10^{-5}\) & 2.73 & 2 & 0.26 & 0.0093 & 4 & 4 & 0.4 & 0.0138 \\ PlayerTokens & 0.274 & 1 & 0.6 & \(9.39\times 10^{-4}\) & 2.25 & 2 & 0.33 & 0.0077 & 5.5 & 4 & 0.24 & 0.0188 \\ Smart tickets & 0.534 & 1 & 0.47 & 0.00183 & 1.46 & 2 & 0.48 & 0.005 & 6.1 & 4 & 0.19 & 0.021 \\ DecentralizationTicket & 0.148 & 1 & 0.7 & \(5.06\times 10^{-4}\) & 1.97 & 2 & 0.37 & 0.0068 & 3.4 & 4 & 0.5 & 0.0115 \\ SecureData & 0.465 & 1 & 0.5 & 0.00159 & 2.64 & 2 & 0.27 & 0.009 & 6.2 & 4 & 0.19 & 0.0212 \\ Anti-doping & 0.039 & 1 & 0.84 & \(1.33\times 10^{-4}\) & 1.81 & 2 & 0.4 & 0.0062 & 5.6 & 4 & 0.23 & 0.0192 \\ FinancialSupport & 4.252 & 1 & 0.04 & 0.01456 & 0.78 & 2 & 0.68 & 0.0027 & 4.9 & 4 & 0.3 & 0.0167 \\ RewardingFan & 1.214 & 1 & 0.27 & 0.00416 & 1.43 & 2 & 0.49 & 0.0049 & 1.9 & 4 & 0.75 & 0.0066 \\ Subscription & 0.379 & 1 & 0.54 & 0.0013 & 0.59 & 2 & 0.75 & 0.002 & 2.6 & 4 & 0.63 & 0.0089 \\ AppSponsor & 0.814 & 1 & 0.37 & 0.00279 & 2.5 & 2 & 0.29 & 0.0086 & 5.6 & 4 & 0.24 & 0.019 \\ AppPlayer & 1.456 & 1 & 0.23 & 0.00499 & 2.3 & 2 & 0.32 & 0.0079 & 4.9 & 4 & 0.3 & 0.0166 \\ AppTickets & 1.013 & 1 & 0.31 & 0.00347 & 2.45 & 2 & 0.29 & 0.0084 & 6.6 & 4 & 0.16 & 0.0226 \\ AppDesentralization & 0.892 & 1 & 0.35 & 0.00306 & 0.47 & 2 & 0.79 & 0.0016 & 3.3 & 4 & 0.51 & 0.0113 \\ AppData & 0.187 & 1 & 0.67 & \(6.41\times 10^{-4}\) & 2.13 & 2 & 0.35 & 0.0073 & 2.8 & 4 & 0.6 & 0.0094 \\ AppPay & 0.419 & 1 & 0.52 & 0.00143 & 2.75 & 2 & 0.25 & 0.0094 & 7.2 & 4 & 0.12 & 0.0248 \\ AppRevenue & 4.685 & 1 & 0.03 & 0.01604 & 8.06 & 2 & 0.02 & 0.0276 & 5.5 & 4 & 0.24 & 0.0187 \\ AppReward & 1.268 & 1 & 0.26 & 0.00434 & 2.64 & 2 & 0.27 & 0.0091 & 8.2 & 4 & 0.08 & 0.0281 \\ AppInfo & 1.662 & 1 & 0.2 & 0.00569 & 2.26 & 2 & 0.32 & 0.0077 & 2.9 & 4 & 0.57 & 0.01 \\ \hline \hline \end{tabular}
\end{table}
Table 1: Kruskal–Wallis by sport, gender, and profession.  
ample, coaches and athletes may value blockchain for incentivization and direct payments, while administrators could prioritize ticketing and secure data storage differently.  
These findings reinforce H3 by highlighting heterogeneity across professional roles--even if not always statistically significant--underscoring the importance of tailored implementation strategies and communication efforts that reflect each group's specific interests and responsibilities. Future qualitative research could unpack these dynamics more deeply to inform adoption strategies that align with stakeholder-specific motivations and barriers.