Not if they are all members of the same team!
That is known as a simple random sample, or SRS.
at random to represent the population
A simple random sample is a method of selecting a sample where the probability of any particular member of the population being part of the sample is the same for all members of the population.
A random sample is a sample (subset of the population) where each member of the population has an equal chance of being sampled. See related links.
Random assignment: assigning participants to experimental and control conditions by chance Vs. Random sample: a sample that fairly represents a population because each member has an equal chance of being included You decide :-D
A random sample should be taken from an entire population.
A larger random sample will always give a better estimate of a population parameter than a smaller random sample.
In statistics it is a random sample
Sometimes a population consists of a number of subsets (strata) such that members within any particular strata are alike while difference between strata are more than simply random variations. In such a case, the population can be split up into strata. Then a stratified random sample consists of simple random samples, with the same sampling proportion, taken within each stratum.
random sample or probability sample
Take a simple random sample.
A biased sample is a sample that is not random. A biased sample will skew the research because the sample does not represent the population.