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League 2 2012/13 review: Time Analysis
There were 1411 League 2 goals in the 2012/13 season. This article will focus on the time at which goals were scored during match play. These are important information because it shows the characteristics of different teams. I did a time analysis once in December, 2013. That result showed that there was a systematic and significant upward trend in the number of goals scored as time progressed. This time all the goals in 2012/13 season were included and the upward trend is still the same. It further supports the previous research suggesting an increase in the frequency of goals scored as a match progresses (Jinshan et al., 1993; Reilly, 1996). The methodology is the same as I divided the 90 minutes into six 15-min periods. The following chart shows when the 1411 goals were scored in League 2 this season.
The goals scored in the last 15 minutes of the game were obviously more than other periods.
The following table shows the number of goals scored in six periods of different teams. The data were shown in a Red-Yellow-Green colour scale. That means, the higher number would be highlighted by red and the lower number would be highlighted by green for better visualisation of the data.
Gillingham, Wycombe and Bristol Rovers were the teams which started the game strongly in the first 15 minutes by scoring 14, 13 and 12 goals. Gillingham showed a special characteristic as they scored more goals in first half (39 goals) than second half (27 goals) significantly. They scored least goals in the last quarter (7 goals) which was different from the general trend of other teams which scored most goals in the last quarter. York City was another team having the same characteristic because their first half goals (31) were much more than that in second half (19).
Northampton scored most goals (19) in the last quarter but generally most of the team scored more goals in the last quarter so the difference was not significant. Port Vale showed something special as they significantly outperformed other teams in the second quarter (16-30 mins) by scoring 17 goals while most of the teams had less than 10 goals in this period.
Wycombe was a special team as well because they were particulary strong in the first 15 minutes of the halves by scoring 12 goals in 0-15 and 45-60 minutes. In other periods they scored only 6 to 7 goals.
However, if we just count the goals scored, it is not showing the whole picture of analysis because stronger teams scored more goals (e.g. Port Vale scored 87 goals and Aldershot scored 42 goals). If we want to find the characteristics of the teams, we have to convert these data into percentage which is shown by the following table.
Only 5 teams scored 20% or more goals in the first 15 minutes of the game and they were Aldershot, Bristol Rovers, Gillingham, Wycombe and York City. AFC Wimbledon, Cheltenham and Gillingham were stronger in the 15 minutes before the first half break as they had 22%, 22% and 21% of goals in that period.
Barnet was the weakest team in the first 15 minutes (6%) but they were very strong in the last quarter with 32% scored within the last 15 minutes of the game. Morecambe and Northampton were the two remaining teams which had more than 30% of goals in the last quarter. If we consider the last 30 minutes of the game, the characteristics of these teams were more significant. Barnet and Northampton had 53% and 55% of goals scored in the last 30 minutes of the game and these could be important information for their opponents.
Aldershot and Bristol Rovers shared the same characteristic as they were both strong in the first and last quarters having more than 20% of total number of goals. The team with the most evenly distributed number of goals in all six quarters was Torquay. They had around 15%-18% of goals in each quarter.
To conclude, the characteristics of the teams could be shown by having the time analysis. Some teams were stronger in the first half (e.g. Gillingham and York City). Some teams were stronger in the last 30 minutes of the game (e.g. Barnet and Northampton). These information would be useful for the opposition analysis to know the strengths and weaknesses of the opponents.
Reference
Jinshan et al., 1993. Analysis of the goals in the 14th World Cup. In: J. C. a. A. S. T. Reilly, ed. Science and Football II. London: E. and F.N. Spon, pp. 203-205.
Reilly, T., 1996. Motion analysis and physiological demands. In: T. Reilly, ed. Science and Soccer. London: E. and F.N.Spon, pp. 65-81.
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Time Analysis of League 2 teams
There are 690 league 2 goals (updated to 13/12/2012). There are many perspectives of analysis of goal scoring. This article will focus on the time at which goals are scored during match play. The analysis would be useful for coaches because the relationship between goal scoring and time would appear to be linked to physical conditioning and characteristics of different teams.
I divided the 90 minutes into six 15-min periods. The following chart shows that there is a systematic and significant upward trend in the number of goals scored as time progressed. This is a support to previous research suggesting an increase in the frequency of goals scored as a match progresses (Jinshan et al., 1993; Reilly, 1996).
Then we move on from the genearl perspective to the team perspective to analyse the goals. The following table shows the number of goals scored in six periods of different teams. The data were shown in a Red-Yellow-Green colour scale. That means, the higher number would be highlighted by red and the lower number would be highlighted by green for better visualisation of the data.
Generally, most of the teams scored more goals in the second half which fit the general trend. However, Aldershot is an exception as they scored the least goals in the last 30-min period among League 2. On the other hand, Fleetwood is expertised in scoring late goal in the last 15-min period. The 12 goals they scored is remarkably higher than the goals they scored in other periods. Northampton and Port Vale are strong in the last 30-min period as well.
However, if we just count the goals scored, it is not showing the whole picture of analysis because stronger teams scored more goals. If we want to find the characteristics of the teams, we have to convert these data into percentage. For example, in the first 15-min of the game, Bristol Rovers scored 7 goals, same as Oxford United but less than Gillingham. A different table will show you a different picture. The following table shows the same set of data in percentage form.
Bristol Rovers become the best team to score early goals which is obviously a characteristic of this team. Even Gillingham scored the most goals in this period, it is only 21% of their total number of goals. This percentage is less than Oxford United and Wycombe.
The result of Fleetwood becomes more obvious. It seems that they tried to save energy in the 46-75 minutes by scoring only 11% of goals and then dominate the final 15 minutes in scoring 43% of their total goals.
Wycombe shows the same trend in both halves that they scored most of their goals in the first 30 minutes. They are particularly weak in the last 15 minutes of the half. The possible explanation is the deterioration in physical condition of players is more serious in Wycombe. Accrington, Bradford and Southend have a similar characteristic because they all scored less than 20% of their goals in the first 30 minutes of the game. It would be a good strategy to start attacking early when other teams play against these three teams.
Reference
Jinshan et al., 1993. Analysis of the goals in the 14th World Cup. In: J. C. a. A. S. T. Reilly, ed. Science and Football II. London: E. and F.N. Spon, pp. 203-205.
Reilly, T., 1996. Motion analysis and physiological demands. In: T. Reilly, ed. Science and Soccer. London: E. and F.N.Spon, pp. 65-81.
Football Performance Analysis 