18. Terrien M., Scelles N., Morrow S. et al. (2017). “The win?/?pro?t maximization debate: strategic adaptation as the answer?” // Sport, Business and Management. Vol. 7, № 2. P. 121-140.
19. Quirk, J., & Fort, R. (1992). “Pay dirt, the business of professional team sports” // Princeton: Princeton University Press.
20. Szymanski, S., Kuypers, T. (1999). “Winners and Losers: The Business Strategy of Football” // Penguin, Harmondsworth.
21. Zelenkov Y., & Solntsev I., (2017). “Measuring the e?ciency of Russian Football Premier League clubs” // Electronic Journal of Applied Statistical Analysis. Vol. 10, № 3. P. 773-789.
22. Гурьева О.А. (2016). “Экономическая эффективность: сущность, особенности и методика оценки” // Economist of the year 2016. С. 4-13
23. Осокин Н. А. (2017) “Детерминанты организационной эффективности и результативности футбольных клубов” // Эффективное Антикризисное Управление. №. 3 (102). С. 98-109.
24. Осокин Н. А. (2018). “Максимизация прибыли или побед: оптимальная стратегия управления эффективностью футбольных клубов в РФ” // Стратегические решения & Риск-менеджмент №2 (107)
Электронные ресурсы
25. База данных спортивных событий “Sofascore” [Электронный ресурс] URL: https://www.Sofascore.com/
26. Крупнейший спортивный сайт “Transfer market” [Электронный ресурс] URL: https://www.Transfermarkt.de/
Приложение 1
Рейтинг эффективности команд
|
№ |
Team |
Season |
Points |
Place |
TE |
|
|
1 |
Rostov |
2015-2016 |
63 |
2 |
0.9970393 |
|
|
2 |
Lokomotiv |
2013-2014 |
59 |
3 |
0.9970244 |
|
|
3 |
Orenburg |
2018-2019 |
43 |
7 |
0.9970229 |
|
|
4 |
CSKA |
2013-2014 |
64 |
1 |
0.9970228 |
|
|
5 |
Lokomotiv |
2018-2019 |
56 |
2 |
0.9970218 |
|
|
6 |
Spartak |
2013-2014 |
50 |
6 |
0.9970173 |
|
|
7 |
Dynamo |
2013-2014 |
52 |
4 |
0.9970165 |
|
|
8 |
CSKA |
2012-2013 |
64 |
1 |
0.9970158 |
|
|
9 |
Mordovia |
2014-2015 |
38 |
8 |
0.9970131 |
|
|
10 |
CSKA |
2014-2015 |
60 |
2 |
0.9970128 |
|
|
11 |
Spartak |
2016-2017 |
69 |
1 |
0.9970116 |
|
|
12 |
CSKA |
2015-2016 |
65 |
1 |
0.9970095 |
|
|
13 |
Krasnodar |
2013-2014 |
50 |
5 |
0.9970078 |
|
|
14 |
Krasnodar |
2014-2015 |
60 |
3 |
0.9970062 |
|
|
15 |
Krylya-Sovetov |
2015-2016 |
35 |
9 |
0.9970062 |
|
|
16 |
Dynamo |
2017-2018 |
40 |
8 |
0.997005 |
|
|
17 |
Rubin |
2014-2015 |
48 |
5 |
0.9970048 |
|
|
18 |
Zenit |
2015-2016 |
59 |
3 |
0.9970043 |
|
|
19 |
Dynamo |
2012-2013 |
48 |
7 |
0.997004 |
|
|
20 |
Lokomotiv |
2017-2018 |
60 |
1 |
0.9970028 |
|
|
21 |
Akhmat |
2012-2013 |
48 |
8 |
0.9970026 |
|
|
22 |
Zenit |
2014-2015 |
67 |
1 |
0.9970022 |
|
|
23 |
Zenit |
2016-2017 |
61 |
3 |
0.9970015 |
|
|
24 |
Arsenal |
2018-2019 |
46 |
6 |
0.9970011 |
|
|
25 |
CSKA |
2016-2017 |
62 |
2 |
0.9969994 |
|
|
26 |
Ufa |
2014-2015 |
31 |
12 |
0.9969991 |
|
|
27 |
Rubin |
2016-2017 |
38 |
9 |
0.9969991 |
|
|
28 |
Akhmat |
2018-2019 |
42 |
8 |
0.9969988 |
|
|
29 |
Tom |
2013-2014 |
31 |
13 |
0.9969985 |
|
|
30 |
Kuban |
2012-2013 |
51 |
5 |
0.9969981 |
|
|
31 |
Rubin |
2012-2013 |
50 |
6 |
0.996998 |
|
|
32 |
Zenit |
2012-2013 |
62 |
2 |
0.9969978 |
|
|
33 |
Torpedo |
2014-2015 |
29 |
15 |
0.9969959 |
|
|
34 |
Ural |
2013-2014 |
34 |
11 |
0.9969954 |
|
|
35 |
Zenit |
2013-2014 |
63 |
2 |
0.9969952 |
|
|
36 |
Akhmat |
2016-2017 |
48 |
5 |
0.9969949 |
|
|
37 |
Amkar |
2013-2014 |
38 |
10 |
0.9969943 |
|
|
38 |
Ufa |
2017-2018 |
43 |
6 |
0.996994 |
|
|
39 |
Lokomotiv |
2015-2016 |
50 |
6 |
0.9969938 |
|
|
40 |
Krasnodar |
2017-2018 |
54 |
4 |
0.9969934 |
|
|
41 |
Krasnodar |
2012-2013 |
42 |
10 |
0.9969931 |
|
|
42 |
Krasnodar |
2015-2016 |
56 |
4 |
0.9969929 |
|
|
43 |
Ufa |
2016-2017 |
43 |
7 |
0.9969928 |
|
|
44 |
Lokomotiv |
2014-2015 |
43 |
7 |
0.9969922 |
|
|
45 |
Orenburg |
2016-2017 |
30 |
13 |
0.9969922 |
|
|
46 |
Rostov |
2013-2014 |
39 |
7 |
0.996992 |
|
|
47 |
Kuban |
2014-2015 |
36 |
10 |
0.9969916 |
|
|
48 |
Rubin |
2017-2018 |
38 |
10 |
0.9969915 |
|
|
49 |
CSKA |
2018-2019 |
51 |
4 |
0.9969905 |
|
|
50 |
Akhmat |
2015-2016 |
44 |
7 |
0.9969903 |
|
|
51 |
Amkar |
2014-2015 |
32 |
11 |
0.9969877 |
|
|
52 |
Dynamo |
2018-2019 |
33 |
12 |
0.9969873 |
|
|
53 |
Krasnodar |
2018-2019 |
56 |
3 |
0.9969872 |
|
|
54 |
Anzhi |
2016-2017 |
30 |
12 |
0.9969868 |
|
|
55 |
Anzhi |
2015-2016 |
26 |
13 |
0.9969867 |
|
|
56 |
Arsenal |
2017-2018 |
42 |
7 |
0.9969866 |
|
|
57 |
Akhmat |
2014-2015 |
37 |
9 |
0.9969864 |
|
|
58 |
Lokomotiv |
2012-2013 |
43 |
9 |
0.9969863 |
|
|
59 |
Arsenal |
2016-2017 |
28 |
14 |
0.9969856 |
|
|
60 |
Ural |
2015-2016 |
39 |
8 |
0.9969855 |
|
|
61 |
Spartak |
2015-2016 |
50 |
5 |
0.9969847 |
|
|
62 |
Lokomotiv |
2016-2017 |
42 |
8 |
0.9969841 |
|
|
63 |
Ural |
2017-2018 |
37 |
12 |
0.9969839 |
|
|
64 |
Amkar |
2016-2017 |
35 |
10 |
0.9969836 |
|
|
65 |
Spartak |
2017-2018 |
56 |
3 |
0.9969833 |
|
|
66 |
Ural |
2016-2017 |
30 |
11 |
0.9969828 |
|
|
67 |
Spartak |
2012-2013 |
51 |
4 |
0.9969823 |
|
|
68 |
Rostov |
2012-2013 |
29 |
13 |
0.996981 |
|
|
69 |
Anzhi |
2012-2013 |
53 |
3 |
0.9969808 |
|
|
70 |
Dynamo |
2014-2015 |
50 |
4 |
0.9969808 |
|
|
71 |
Ural |
2018-2019 |
38 |
10 |
0.9969805 |
|
|
72 |
Rostov |
2017-2018 |
37 |
11 |
0.9969801 |
|
|
73 |
Spartak-V |
2012-2013 |
19 |
16 |
0.9969799 |
|
|
74 |
Rostov |
2016-2017 |
48 |
6 |
0.9969781 |
|
|
75 |
Spartak |
2018-2019 |
49 |
5 |
0.9969778 |
|
|
76 |
Zenit |
2018-2019 |
64 |
1 |
0.9969774 |
|
|
77 |
Amkar |
2015-2016 |
31 |
11 |
0.9969773 |
|
|
78 |
CSKA |
2017-2018 |
58 |
2 |
0.9969771 |
|
|
79 |
Amkar |
2012-2013 |
29 |
11 |
0.996977 |
|
|
80 |
Spartak |
2014-2015 |
44 |
6 |
0.9969762 |
|
|
81 |
Krylya-Sovetov |
2018-2019 |
28 |
13 |
0.9969755 |
|
|
82 |
Krasnodar |
2016-2017 |
49 |
4 |
0.9969754 |
|
|
83 |
Amkar |
2017-2018 |
35 |
13 |
0.9969742 |
|
|
84 |
Tosno |
2017-2018 |
24 |
15 |
0.9969734 |
|
|
85 |
Rubin |
2013-2014 |
38 |
9 |
0.9969728 |
|
|
86 |
Krylya-Sovetov |
2013-2014 |
29 |
14 |
0.9969724 |
|
|
87 |
Akhmat |
2017-2018 |
39 |
9 |
0.9969718 |
|
|
88 |
Enisey |
2018-2019 |
20 |
16 |
0.9969717 |
|
|
89 |
Kuban |
2013-2014 |
38 |
8 |
0.9969712 |
|
|
90 |
Volga |
2012-2013 |
29 |
12 |
0.9969708 |
|
|
91 |
Rubin |
2018-2019 |
36 |
11 |
0.9969694 |
|
|
92 |
Akhmat |
2013-2014 |
33 |
12 |
0.9969687 |
|
|
93 |
Rostov |
2014-2015 |
29 |
14 |
0.9969685 |
|
|
94 |
Ural |
2014-2015 |
30 |
13 |
0.9969681 |
|
|
95 |
Mordovia |
2012-2013 |
20 |
15 |
0.9969676 |
|
|
96 |
Krylya-Sovetov |
2016-2017 |
28 |
15 |
0.9969656 |
|
|
97 |
Mordovia |
2015-2016 |
24 |
16 |
0.9969655 |
|
|
98 |
Arsenal |
2014-2015 |
25 |
16 |
0.9969652 |
|
|
99 |
Anzhi |
2017-2018 |
24 |
14 |
0.9969652 |
|
|
100 |
Rubin |
2015-2016 |
33 |
10 |
0.9969649 |
|
|
101 |
Ufa |
2018-2019 |
26 |
14 |
0.9969644 |
|
|
102 |
Krylya-Sovetov |
2012-2013 |
28 |
14 |
0.9969642 |
|
|
103 |
Kuban |
2015-2016 |
26 |
14 |
0.9969639 |
|
|
104 |
Volga |
2013-2014 |
21 |
15 |
0.9969614 |
|
|
105 |
Rostov |
2018-2019 |
41 |
9 |
0.9969612 |
|
|
106 |
SKA |
2017-2018 |
13 |
16 |
0.9969606 |
|
|
107 |
Anzhi |
2018-2019 |
21 |
15 |
0.9969606 |
|
|
108 |
Dynamo |
2015-2016 |
25 |
15 |
0.9969603 |
|
|
109 |
Ufa |
2015-2016 |
27 |
12 |
0.9969596 |
|
|
110 |
Tom |
2016-2017 |
14 |
16 |
0.9969554 |
|
|
111 |
Zenit |
2017-2018 |
53 |
5 |
0.9969531 |
|
|
112 |
Anzhi |
2013-2014 |
20 |
16 |
0.9969471 |