Objective: There is only limited data about 2019-novelcoronavirus (2019-nCov) outbreak from Turkey. Here, we aimed toanalyse 2019-nCov cases in Turkey from statistical perspective. Materialand Methods: Data were obtained from Republic of TurkeyMinistery of Health website. The statistical modeling was performedfor tests between 27 March and 18 April. The ratios were computedfor according to test numbers, number of cases, number of patientsin intensive care care, deaths for statistical analysis. An associationbetween related ratios and time was analyzed by using curve estimationapproach. Curves were drawn with 95% confidence interval. Results:The ratio of number of cases/number of tests were increaseduntil 7 April and then decreased while the ratio of daily recoveredcases/number of daily cases were decreased until that date and then increased.The ratio of deaths/number of cases were increased rapidlyinitially whereas it later increased more slowly. Although the ratio ofnumber of intubated cases/number of cases and the ratio of number ofcases in intensive care unit/number of cases have tendency to decreasein same rate, the ratio of number of deaths/number of cases in intensivecare unit has tendency to increase from the beginning of pandemiauntil this date. Conclusion: The increasing trend of recoveredcases, decreasing of deaths, requirement of intensive care unit and intubationare the main satisfactions for Turkey. The statistical modelingused here could shed some light on the control of process. Whilemore cases than modeling estimate can show uncontrolled process,less cases could indicate well-controlled process.