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Figure 2 Scatterplot Loss vs. Free Kicks Taken (Team A)
So, when more free kicks are awarded to team A, there is a higher probability
of a win. Conversely, as the number of free kicks awarded decreases the
probability of a loss increases.
What makes this type of analysis all the more revealing and significant is that
the outputs show that there are variables – in this instance free kicks – that are
significantly related to the outcome of a game. There is scope here for
teams with this information to determine how to best take a strategic
approach to counter teams they are playing that have a proven capability
in their success in this regard. For example, for team A in this instance, there is
scope to look at how it may maximise its advantage in this area and also an
opportunity to both enhance its performance and look to broaden its
capability in other areas of the field.
In the example given for Team B in Figures 3 and 4, the outputs from the
ordinal model are given after the stepwise process has been completed. The
most significant factors and their associated p-values are highlighted in the
footnote at the end of the paper. In the following figure, a plot of the event
probabilities is then outlined showing how those event probabilities relate to
free kicks.
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