Introduction: Academic performance is an individual’s inherent potentials in terms of intelligence combined with other sociological factors. In this era of globalization and technological revolution, education is considered as a first step for every human activity. It plays a vital role in the development of human capital and is linked with an individual’s well-being and opportunities for better living. It ensures the acquisition of knowledge and skills that enable individuals to increase their productivity and improve their quality of life. Objectives: The aim of this study is to predict the performance of high school students towards mathematics in Illubabor and BunoBedelle zone. Methods: The study was conducted in Illubabor and Buno Bedelle zone secondary schools. For this study data were collected by using questionnaires. So, the researchers were used primary data collection method. In this study, the researcher applied simple random sampling and stratified sampling technique which is used to select samples from the target population and the sample size used in the study was 375 observations. The researcher is primarily used based on quantitative research, which constructed multiple regression models to identify and measure the predictors of performance of students towards mathematics in the study area. Results: A total of 375 health workers were included and the frequency and percentage of age Below 15,Between 15 to16, between 16 to18,and 18 to 20 are 34(9.1%) 188(50.1%),122(32.5%) and31(8.3%) respectively. Among those, most of the age of students is between 15 to 16. From descriptive analysis the average score results for students during the study period is about 60.9 and the standard deviation is 10.9. Therefore, this implies that there is no absence of moderate variations among the values of average score across the performance of students towards mathematics included for this study. As illustrated in the correlation analysis of performance of students indicate that, there is statistically and significantly positive correlation between age, marital status, grade level, economic status and classroom instruction with average score of student’s results. This means that as these variables increase average score results of students also will increase and vice versa. Concussion: Grade level, economic status, father education background, mathematics remedial test, and distance from school have statistically significant effects on the average score results of students.