Sports Bookmaker
902 568 ₽ (RUB)/yr
433,93 ₽ (RUB)/hr
29 604 ₽ (RUB)/yr
The average sports bookmaker gross salary in Russian Federation is 902 568 ₽ or an equivalent hourly rate of 434 ₽. In addition, they earn an average bonus of 29 604 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Russian Federation. An entry level sports bookmaker (1-3 years of experience) earns an average salary of 673 798 ₽. On the other end, a senior level sports bookmaker (8+ years of experience) earns an average salary of 1 110 932 ₽.
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ERI’s compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.
1 074 663 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Sports Bookmaker will increase 19 % over 5 years.
Education data not available for this job
Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageRussia, or the Russian Federation, is a country spanning Eastern Europe and North Asia. It is the largest country in the world by area, extending across eleven time zones and sharing land borders with fourteen countries. It is the world's ninth-most populous country and Europe's most populous country. Russia is a highly urbanized country consisting of 16 population centers with over million inhabitants. Its capital as well as its largest city is Moscow. Saint Petersburg is Russia's second-largest...
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This page is a promotion for SalaryExpert’s Assessor Platform and is not intended for professional use.
Professionals should subscribe to SalaryExpert’s Assessor Platform.
ERI’s compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.
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