Predicting the variable's score using predictive analytics I am new to predictive analytics but I am good at programming (like Spark, R). 

I have 10 variables and I know their score's for over a long period of time. I want to know which variable will have high score in the future? 

If it is a linear plot (plotted between score and time for a variable), we can extrapolate the values and find the max(future_score) among the 10 variables.

But the plot is non-linear (although continuous).

Any suggestions?

Thanks for your help?
Can you show us some plots of them ? it really depends on what they look. There is a lot of temporal series forecast. 

It will depends on : 


Is there any seasonality ?
Is there a trend ?
Is there a high volatility ?
On how long do you want do to your forecast ?