IQR; the data distribution is skewed
Since the data is not symmetrically distributed and has a larger range of values at the upper end, the Interquartile Range (IQR) would be a better measure of variability to describe the spread of the dataset.
IQR; the data distribution is symmetrical
MAD; the data distribution is symmetrical
MAD; the data distribution has outliers
IQR; the data distribution is skewed
Since the data is not symmetrically distributed and has a larger range of values at the upper end, the Interquartile Range (IQR) would be a better measure of variability to describe the spread of the dataset.
Since the dataset includes some values that are significantly higher than the majority of the data (e.g. 4 goals scored), there are outliers present. In this case, the Median Absolute Deviation (MAD) would be a better measure of variability to describe the spread of the dataset, as it is less affected by outliers compared to IQR.
If we have to pick one, the MAD would be the better measure of variability to describe the spread of the dataset, considering the presence of outliers in the data.