Season points – each match is worth a number of points (0 for a loss, 1 for a draw, 2 for a win (pre-1981) or 3 for a win (post-1981). These match values can then be aggregated by taking the sum() to work out the number of points accrued in a season, using the Aggregation wizards.
LeagueDivisionSeason – This is a email list france selector variable that combines the league, the division and the season into a single variable (with 1200+ codes) which can be used to speed up analysis tasks and to also allow for easy grouping by the teams in a season (as required in variable 3 below). This was achieved by using the expression and create from cube wizards.
Season position – the finishing position for a team in a season can be worked out by ranking the teams in each division (using variable 2 above) for a season by descending points. In practice, to be able to correctly differentiate the finishing order for teams that finish on identical points based on the criteria that were used at the time to order the teams. This can be done using the Numeric Banding wizard.
MatchScore as a selector – this variable has the scoreline in the format of '1-0' with the team's goals first. This is used regularly in the sequencing questions in the Pattern Match functionality described in the next section and uses the expression and create from cube wizards.
LeagueMatchNumber for season – some questions require looking at matches in particular rounds and to do this we need to know which match number each match was during a season. We can do this using the Numeric Banding wizard.
In addition, we can create analytical templates that drastically reduce the amount of time taken to create common pieces of analysis. There are two of these which I use all the time:
Match details – this is a template of a data grid with team, season, date, match scores and results. This enables me to quickly cross-check whether the results that have been returned are correct and also to take copies of those to send in with answers.
It is slightly more complicated than this as we need
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