2 deleted 4 characters in body

Let's say iI have a data set which shows me basketball players: list of their games which contains date, number of shots they took and number of shots they scored. forFor example:

1.10.1992 Michael jordanJordan took 12 shots - scored 6

iI would like to predict what'swhat is going to be their scoring success rates in the next games using the historical data set. What is the best way to do it? The real model i'mI'm doing it for has a very low success rates < 1%.

Let's say i have a data set which shows me basketball players: list of their games which contains date, number of shots they took and number of shots they scored. for example:

1.10.1992 Michael jordan took 12 shots - scored 6

i would like to predict what's is going to be their scoring success rates in the next games using the historical data set. What is the best way to do it? The real model i'm doing it for has a very low success rates < 1%.

Let's say I have a data set which shows me basketball players: list of their games which contains date, number of shots they took and number of shots they scored. For example:

1.10.1992 Michael Jordan took 12 shots - scored 6

I would like to predict what is going to be their scoring success rates in the next games using the historical data set. What is the best way to do it? The real model I'm doing it for has very low success rates < 1%.

1

# How to predict success rates using historical data over time

Let's say i have a data set which shows me basketball players: list of their games which contains date, number of shots they took and number of shots they scored. for example:

1.10.1992 Michael jordan took 12 shots - scored 6

i would like to predict what's is going to be their scoring success rates in the next games using the historical data set. What is the best way to do it? The real model i'm doing it for has a very low success rates < 1%.