What is the longest time between losses for an international football team?
Posted: Mon Dec 23, 2024 4:16 am
Football examples
There are a number of issues here in terms of identifying the particular time in which this has happened. They are:
1 – to restrict this analysis to croatia phone number example international teams and their matches we will have to use a transactional filter selection restricting the transactions to international matches only.
2 – we do not know the length of the sequence of matches here, because we are only interested in the fact that a series of draws or wins is bookended by two losses. The pattern therefore will be best expressed as ‘L * L’ (i.e a loss, then some results, then another loss). NB – there are existing other methods to do this (see N) but these will fall foul of the problems below.
3 – the existing pattern match technique will not help solve this problem as it will stop on the first occurrence of L*L and return the number of days between those two losses. However, a team will have had a number of losses over time and we do not know which pair of losses we are interested in. We will therefore sort and choose the ‘Largest 1’ of such matches, using the matching strategy below.
There are a number of issues here in terms of identifying the particular time in which this has happened. They are:
1 – to restrict this analysis to croatia phone number example international teams and their matches we will have to use a transactional filter selection restricting the transactions to international matches only.
2 – we do not know the length of the sequence of matches here, because we are only interested in the fact that a series of draws or wins is bookended by two losses. The pattern therefore will be best expressed as ‘L * L’ (i.e a loss, then some results, then another loss). NB – there are existing other methods to do this (see N) but these will fall foul of the problems below.
3 – the existing pattern match technique will not help solve this problem as it will stop on the first occurrence of L*L and return the number of days between those two losses. However, a team will have had a number of losses over time and we do not know which pair of losses we are interested in. We will therefore sort and choose the ‘Largest 1’ of such matches, using the matching strategy below.