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Northampton – Stoke City in League 2? (Part 2)
In part 1, I have compared Northampton’s performance with other teams in League 2. It was clear that Northampton was strong in set play, particularly throw-in. Over 50% of their goals were from set play. In their set play goals, around 40% of them came from throw-ins. I will focus on analysing those 13 throw-in goals in this piece.
Time Analysis
No matter we consider the throw-in goals or all goals of Northampton; they both fit the general trend of time analysis in League 2 because more goals were scored in the later stage of the game. However, the key point is about the time slot of 76-90 minutes. 29.7% of goals were scored in this time slot in all goals. On the other hand, 38.5% of throw-in goals were scored in this time slot considering that the percentages in other time slots were only 15% at most. It shows that throw-in was an effective strategy for Northampton to use in the last 15 minutes of the game to score goals.
What were the assist styles?
Considering the assist styles, some teams may choose to do flick-on headers to make assist. In Northampton’s case, the best way to make assist is to make a direct throw-in passing by hands. 84% of the throw-in goals were assisted by hand passes, only 8% of them were assisted by flick-on header. It also means that at least 84% of the goals were scored by one-touch shot. The technical ability to make one-touch shot is one of the keys to score throw-in goals.
Goal Type
Many people may link throw-in goals to headers but it is not the case in Northampton. Even we found out that one-touch shot is important, the above chart shows that using feet to shoot is as important as header in scoring throw-in goals. Header goals were only 8% more than feet goals. If we consider the above two charts together, we realise that considerable amount of goals were scored by hand passing throw-in followed by shots made by feet. It may be a result not expected by some people.
Where were the assists made?
Since 84% of assists were from direct hand throws, only 7.7% of assists were from central area by flick-on header. It is worthy to note that 30.8% of assists were outside 18-yard from the goal line. Some teams may only use long throw tactics near penalty area but Northampton’s statistics show that it is worthy to do long throw outside the penalty area also.
Who scored the most throw-in goals?
Northampton did not rely on any particular player to score throw-in goals as the goals were widely distributed to 8 players. A Akinfenwa is the player who scored the most with 31% of throw-in goals considering he is a striker. The other 7 players scored 1 goal each. It is worthy to note that 15% (2 goals) were scored by own goals. It shows that one of the advantages in using long throw-in is to mess up the situation in penalty area so the defenders would have a higher chance to make a mistake scoring own goal.
Where they scored?
The above diagram obviously shows that the prime area for attacking long throws is the 12-yard area from the goal line. 84.6% of goals were scored in these two zones. Note that 15.4% of goals were scored outside the penalty area. My explanation is that most of the defenders would try to defend long throw-in by staying at the zones in front of the goal. It leaves space outside the penalty area for attackers to make long shot. It is worthy to note that no goal was scored in 12-18 yard area. It is because this zone is neither close enough for one-touch shot in long throws nor having enough space and time for players to make long shot.
Conclusion
By analysing Northampton’s strategy in throw-ins, we can identify why they are so strong in scoring throw-in goals. Firstly, they used a very direct style to attack. They didn’t prefer flick-on header as 84% of assists were came from direct hand throw-in passes. Secondly, one-touch shot is the key to score but we should be aware that using feet to score is almost as important as using header. Thirdly, Northampton did not rely on any particular player to be the target man to score throw-in goals. They had 8 players to score 11 throw-in goals (the other 2 goals were own goals). Fourthly, don’t ignore the importance of making delivery outside the penalty area (18-yard line) because 30% of their throw-in goals were delivered from zones outside the 18-yard line.
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Northampton – Stoke City in League 2? (Part 1)
Stoke City is famous for their long throw-ins attacking strategy. It is a different kind of attack for the defenders who get used to crosses. It is also a big question for the keepers whether they should stay at the goal line or not. There are some pieces which analyse Stoke’s performance. Is there any other team having the same strategy in English football? Northampton may be the team with similar (or even better) performance in long throw-ins.
Top 5 teams in set play goals in League 2
Considering the number of set play goals, Northampton scored the most set play goals (34 goals). The following table shows the open play and set play goals of 24 League 2 teams this season and highlights the top 5 teams in set play goals. They are AFC Wimbledon, Bradford, Cheltenham, Gillingham and Northampton.
In order to analyse how important set play goals are to different teams, the percentage of set play goals were considered also. The following table shows the percentages of open play and set play goals of 24 League 2 teams this season.
For example, being the League 2 Champion, Gillingham scored 28 set play goals but there were stronger in scoring open play goals. Therefore, set play goals only accounted for 42.4% of their total goals. The top 5 teams with the highest percentage of set play goals were AFC Wimbledon, Aldershot, Bradford, Cheltenham and Northampton. Northampton is the 2nd place in set play goal percentage. 53.1% of their goals were set play goals. Comparing both tables to each other, we can identify that 4 teams existed in the top 5 positions in both tables. They are AFC Wimbledon, Bradford, Cheltenham and Northampton. That means these 4 teams were good at scoring set play goals and set play goals were more important to them. Note that Northampton and AFC Wimbledon are the only two teams scoring more set play goals than open play goals.
Throw-ins goals in League 2
This chart shows how strong Northampton was in throw-in goals. With most of the teams having 3 throw-in goals or less, Northampton scored 13 throw-in goals this season. They scored 100% more than the 4th place Bristol Rovers having 6 throw-in goals. The great difference shows that scoring throw-in goals was a strong weapon of Northampton while most of the teams didn’t have the ability to do so.
If we consider how important throw-in goals are within set play goals, Northampton is still the team showing the highest percentage. 38.24% of their set play goals were throw-in goals. It showed how important throw-in goals were to Northampton.
In fact, Gillingham and Northampton were the only 2 teams with more than 30% of their set play goals as throw-in goals. Considering only 9 teams in the league having more than 10% of their set play goals as throw-in goals, it shows how Northampton outperformed other teams by having 38.24%.
No matter we consider the number of throw-in goals or the percentage of throw-in goals, Northampton is still the best team in the league and they obviously outperformed other teams in the league.
I don’t have the goal scoring data of Stoke City this season. However, I wonder Stoke City can achieve the two conditions of Northampton or not.
- More than 50% of goals were set play goals
- Around 40% of set play goals were throw-in goals
In part 2, the focus will be analysing the details of Northampton’s throw-in goals. It includes when they scored, how they scored, where they scored, where the assists came from, etc.
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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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Clean Sheets Analysis of League 2
A football game is all about attacking and defending. Therefore, keeping a clean sheet is as important as scoring goals. A team scoring a goal doesn’t guarantee any point but keeping a clean sheet guarantee at least one point and potentially getting three points. In this post, the defensive performance of League 2 teams would be discussed by analysing the clean sheets of League 2. Updated to January 28, there were 338 matches had been played, that means there were 676 team performances. Of these 676 team performances, 189 ended up with a clean sheet (28%). The teams produced 7.88 clean sheets on average. In these 7.88 clean sheets, 5.38 clean sheets led to wins and 2.50 clean sheets led to draws. On the other hand, clean sheets produced about 2.35 points per team and match on average.
The frequency of clean sheets is shown in the following chart.
As shown in the chart, there is a huge range in abilities to keep clean sheets (from 2 to 13). Fleetwood and Cheltenham performed much better than other team, producing 13 and 12 clean sheets. Part of their ability to generate points has been their ability to produce good defence. In the top 4 clean sheet producers (10 teams), only Accrington, Morecambe and Aldershot are in the bottom half of the table. It indicates two results. Firstly, good at keeping clean sheets can lead to good league positions. Secondly, it suggests that defence is not the main issue of the above 3 teams. In order to improve their league positions, they should focus on improving their attacking. Moreover, the bottom 2 clean sheet producers are Bristol Rover, Plymouth and Wimbledon. They are the bottom 3 teams in the League 2 table as well which indicates the importance of keeping clean sheet. On the other hand, it shows how strong Port Vale’s goal scoring was. Port Vale only produced 7 clean sheets which are below average. However, they are at the top of the table which means the high number of goal scored can overcome the weakness of their defence.
Clean sheets were of different value for different teams. This is shown in the following chart.
Clean sheets had enormous value (3 points) for Exeter and Wimbledon. For every single match they held clean sheet, they won the game and got 3 points. Note that Wimbledon is at the bottom of the league table. That means the biggest problem of Wimbledon right now is the defence, not attack. On the other hand, Plymouth had the worst performance in the above chart. It shows that even Plymouth had kept clean sheet, they only managed to 1.5 points on average. Considering both charts, it means that Plymouth is having problems in both attack and defence. In the top 5 teams in this chart, 4 of them are in the top 6 of the league table. In other words, it’s not only keeping clean sheets that’s important, but also how the team managed to get points from clean sheets.
By combining both charts together, the teams can be analysed from another perspective which is shown in the following diagram.
In this chart, the two axes are the two average numbers (2.35 points gained and 7.88 frequencies of clean sheets). The objective of using two average numbers as the axes is to divide 24 teams into four quadrants showing different abilities. Firstly, Bristol Rovers, Plymouth, Torquay and Rochdale are at the bottom left corner. The characteristic of the teams in this quadrant is that they are both weak at producing clean sheets and getting points from clean sheets. The opposite quadrant is the top right quadrant which means the teams were good at producing clean sheets and got points from clean sheets as well. Gillingham was the best performer in this quadrant which means Gillingham had a good balance of attack and defence. On the other hand, the top two performers of keeping clean sheets were in the bottom right quadrant, they should focus on improving their attacking because it was the main issue hindering both teams from getting points from clean sheets. The same argument could be applied to Aldershot and Morecambe as well since they are at the bottom half of the league table. Port Vale didn’t show why they can be the top of league table in this chart because they were weak in producing clean sheets. However, their efficiency is better than Gillingham by getting more points per clean sheet game.
To conclude, keeping clean sheets is a strong indicator of a team’s defending ability. However, it’s not only keeping clean sheets that’s important, but also how the team managed to get points from clean sheets. Therefore, by dividing 24 teams into four quadrants showing different characteristics, we can understand why some teams are doing better than others and which aspects (attacking or defending) should be the main focus point for team improvement.
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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 