# Identification of Players Ranking in E-Sport
## 6 Practical Exploitation of the Identified Model
\begin{table}
\begin{tabular}{l l c c c c c c} \hline \hline
**Pos.** & **Name** & \(C_{1}\) & \(C_{2}\) & \(C_{3}\) & \(C_{4}\) & \(C_{5}\) & \(C_{6}\) & \(Rating2.0\) \\ \hline
1 & s1 mple & 0.88 & 86.6 & 1958 & 1.50 & 0.09 & 0.59 & 1.34 \\
2 & [PERSON] & 0.83 & 85.3 & 4151 & 1.40 & 0.12 & 0.59 & 1.32 \\
3 & [PERSON] & 0.78 & 79.3 & 3505 & 1.51 & 0.09 & 0.52 & 1.29 \\
4 & [PERSON] & 0.83 & 83.1 & 2851 & 1.30 & 0.1 & 0.64 & 1.25 \\
5 & huNter & 0.80 & 88.2 & 4100 & 1.22 & 0.15 & 0.66 & 1.24 \\
6 & vsm & 0.80 & 86.6 & 2420 & 1.22 & 0.13 & 0.65 & 1.24 \\
7 & meyern & 0.82 & 83.8 & 1728 & 1.28 & 0.12 & 0.64 & 1.24 \\
8 & Kaze & 0.78 & 80.7 & 1750 & 1.32 & 0.1 & 0.60 & 1.24 \\
9 & Hatz & 0.76 & 81.8 & 2017 & 1.28 & 0.15 & 0.60 & 1.23 \\
10 & Sico & 0.76 & 78.4 & 1876 & 1.36 & 0.13 & 0.56 & 1.23 \\
11 & yuurih & 0.79 & 87.1 & 3833 & 1.24 & 0.15 & 0.63 & 1.22 \\
12 & aliStair & 0.77 & 78.7 & 2028 & 1.32 & 0.12 & 0.58 & 1.22 \\
13 & TenZ & 0.80 & 85.5 & 2406 & 1.22 & 0.13 & 0.65 & 1.22 \\
14 & xsepower & 0.76 & 75.6 & 3856 & 1.31 & 0.09 & 0.58 & 1.21 \\
15 & roej & 0.80 & 87.7 & 2338 & 1.18 & 0.14 & 0.68 & 1.21 \\
16 & floppy & 0.79 & 84.3 & 3251 & 1.32 & 0.14 & 0.65 & 1.21 \\
17 & Brehze & 0.80 & 83.3 & 2492 & 1.22 & 0.12 & 0.65 & 1.21 \\
18 & KSCERATO & 0.75 & 79.4 & 3637 & 1.35 & 0.12 & 0.56 & 1.21 \\
19 & electronic & 0.76 & 83.9 & 1631 & 1.21 & 0.14 & 0.62 & 1.21 \\
20 & EliGE & 0.77 & 84.8 & 2900 & 1.19 & 0.14 & 0.65 & 1.20 \\
21 & woxic & 0.77 & 80.5 & 1699 & 1.25 & 0.11 & 0.61 & 1.20 \\
22 & kNgV- & 0.78 & 79.8 & 1964 & 1.27 & 0.09 & 0.62 & 1.20 \\
23 & INS & 0.74 & 83.8 & 1961 & 1.19 & 0.18 & 0.62 & 1.19 \\
24 & BnTeT & 0.73 & 81.2 & 1516 & 1.23 & 0.15 & 0.59 & 1.19 \\
25 & erkaSt & 0.79 & 83.3 & 2076 & 1.22 & 0.14 & 0.65 & 1.19 \\
26 & somedieyoung & 0.78 & 84.6 & 2398 & 1.19 & 0.14 & 0.65 & 1.19 \\
27 & NAF & 0.72 & 82.2 & 2717 & 1.18 & 0.16 & 0.61 & 1.19 \\
28 & NiKo & 0.78 & 83.9 & 2066 & 1.18 & 0.12 & 0.67 & 1.18 \\
29 & dexter & 0.76 & 82.2 & 2047 & 1.18 & 0.14 & 0.65 & 1.18 \\
30 & kennyS & 0.77 & 78.6 & 2934 & 1.24 & 0.1 & 0.62 & 1.18 \\
31 & jks & 0.76 & 82.7 & 1741 & 1.19 & 0.12 & 0.64 & 1.18 \\
32 & blameF & 0.75 & 83.3 & 2474 & 1.18 & 0.16 & 0.64 & 1.18 \\
33 & shz & 0.80 & 83.0 & 2009 & 1.24 & 0.13 & 0.65 & 1.18 \\
34 & nexa & 0.75 & 80.3 & 3819 & 1.24 & 0.13 & 0.60 & 1.18 \\
35 & Bubzkji & 0.76 & 85.2 & 3186 & 1.16 & 0.13 & 0.66 & 1.18 \\
36 & Texta & 0.76 & 83.1 & 2097 & 1.15 & 0.16 & 0.66 & 1.18 \\
37 & coldera & 0.78 & 82.2 & 1767 & 1.22 & 0.11 & 0.64 & 1.18 \\
38 & frozen & 0.75 & 81.2 & 2789 & 1.19 & 0.14 & 0.63 & 1.17 \\
39 & MarKE & 0.74 & 80.9 & 1851 & 1.17 & 0.13 & 0.63 & 1.17 \\
40 & mantuu & 0.77 & 82.0 & 2755 & 1.16 & 0.12 & 0.67 & 1.17 \\ \hline \hline \end{tabular}
\end{table} 
Table 11: The performance table of the alternatives, selected criteria, and reference ranking. The sample data for the top 40 players is shown in Table 13. The final decision assessment model identified _'[PERSON]'_ as the best player at all with an excellent value equal to 0.7437, when the worst rating was given to _'[PERSON]'_, who received value equal to 0.1021. Analyzing the results of the three related models, we can conclude that the highest score in the first model \(P_{1}\) was obtained by _'[PERSON]'_ again, and is equal to 0.8825, while the lowest score received by _'[PERSON]'_ was only 0.2275. In the \(P_{2}\) and \(P_{3}\) models, the best outcome was acquired by _'[PERSON]'_ with the value 0.8423 as \(P_{2}\) and 0.7750 as \(P_{3}\). The worst assessment in \(P_{2}\) was given to _'[PERSON]'_ with the value 0, and in the \(P_{3}\) model the lowest evaluation value was given to _'[PERSON]'_ with the value 0.2500. The interesting fact is that _'[PERSON]'_, who placed the second position, even if he did not have the best score in any of the three models, was still better than [PERSON]. _'[PERSON]'_ received a much better result in the first model and had a comparable score to _'[PERSON]'_ in the second model.