## 3 Results
The country of origin detection algorithm was executed in early May 2022 and produced results for 28,358 domains out of the 29,290 that were successfully crawled. For the other 932 domains the Web data extraction algorithm didn't produce any useful data that could lead to even a low confidence estimation of the EU country of origin. This includes domains with no data at all and domains with data that point to countries outside the EU as their country of origin. Table 6 presents a sample of data that was produced by the country of origin detection algorithm. The _country_ column presents the final inferred country of origin, the _points_ column depicts the number of points it collected from the evaluation system and the column _num_ presents the number of collected data that pointed to the selected country of origin. The columns _Low Points_, _Close Call_, and _Tie_ are derivatives of the pointing system. The first one indicates a country selected while another country was at 5 or less points behind, the second one indicates a country selected with a low score of under 20 maximum points, and the third one indicates a country selected while it was tying in first place with one or more different countries. Table 7 presents how many decisions regarding the country of origin of.eu domains fall under the above categories and what percentage they are of the total of.eu domains. Out of the 9511 low points, 2582 were attributed to Germany, 1214 to the Netherlands, and 987 to France. Out of 4844 close calls, 2251 were attributed to Germany, 820 to the Netherlands, and 697 to France. Out of the 4353 ties, 1434 were attributed to Germany, 996 to France, 466 to Italy, and 449 to the Netherlands. In the _Point Details_ column, a full account of the points gained is presented, including the country the points were awarded to, the number of points, and the data it was based on. The top scorers column presents all countries within 5 points of the selected country for this domain. Figure 6 depicts the number of investigated.eu domains that were attributed to each country of origin, as well as the low points, close calls, and attributed ties for each country. \begin{table}
\begin{tabular}{c c c} \hline \hline
**Variable** & **Value** & **Percentage** \\ \hline cc\_language & 26,037 & 88.89\% \\ server\_country & 28,097 & 95.93\% \\ other\_domain\_countries & 18,510 & 63.20\% \\ registrar & 26,886 & 91.79\% \\ registrar\_web\_country & 9283 & 31.69\% \\ registrar\_web\_lang & 21,051 & 71.87\% \\ page\_detected\_lang & 25,306 & 86.40\% \\ mail\_countries\_str & 4789 & 16.35\% \\ phone\_countries\_str & 3041 & 10.38\% \\ addr\_detected\_countries\_str & 6428 & 21.95\% \\ gmap\_countries\_str & 327 & 1.12\% \\ gmap\_languages\_str & 783 & 2.67\% \\ gmap\_link & 784 & 2.68\% \\ gmap\_country & 406 & 1.39\% \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Variables’ appearances by successfully crawled domain. \begin{table}
\begin{tabular}{c c c c c c c c c c c c} \hline \hline
**Id** & **Domain Id** & **Wobate** & **County** & **Points** & **Num** & **Low Points** & **Close Call** & **Tie** & **Point Details** & **Ting Scores** \\ \hline  & & & & & & & & & & & & \\  & & & & & & & & & \begin{table}
\begin{tabular}{c c c} \hline \hline
**Column** & **Number of Domains** & **Percentage** \\ \hline Low Points & 9511 & 33.54\% \\ Close Call & 4844 & 17.08\% \\ Tie & 4353 & 15.35\% \\ \hline \hline \end{tabular}
\end{table} 
Table 7: Domains with.eu ccTLD that were decided. Figure 6: Domains with the.eu ccTLD by country out of a sample of 29,091 domains.