Category Archives: League 2
League 2 result analysis: how hard to hold the leads?
If a team scored the first goal in the first half and hold it until the end of first half, what does that mean? How big is the chance to win that game? Or is there any chance for the opposition team to win it back? How big is that chance? What are the differences in holding 1 goal and 2 goal differences in terms of the percentage of chance to win the game finally? Are 2 goal differences safe enough to win a game? The follow analysis will answer all the questions above by analysing the league 2 result this season (updated to 20/12/2012).
I have compared the half time results with full time results and built a connection between half time leads and full time results by using the goal difference.
When the game was tied at half, there was a 42% chance to have a draw at the end of the game. In other words, there was a 29% chance that one of the two teams won the game finally.
However, if a team is leading by 1 goal at half time, the chance of winning the game increased significantly from 29% to 68% which is a pretty high chance. It is worthy to note that it still had a 8% chance to lose the game even the team had a 1-goal lead at half time. That’s why so many people claimed that the team need a “two-goal cushion” to get the three points. Is “two-goal cushion” a three-point guarantee in league 2? We are going to find out.
When a team was leading by 2 goals at half time, the chance of winning the game increased from 68% to 91%. In other words, it was not a 100% guarantee yet because 6% of teams managed to get a draw finally. Surprisingly, there was still a 3% chance that the leading team eventually lost the game. In short, there was 1 out of 10 chances that the leading team can’t get the three points at the end of the game. The “two-goal cushion” may not be as safe as people thought in League 2.
However, once a team was leading 3 goals at half time, the match is over. No team could manage to get a draw or win it back if they are losing at a 3-goal margin at half time.
Similarly, there were two occasions that a team was leading 4 goals at half time and they all won it eventually.
To summarise, going from a tie to a lead by 1 goal, 2 goals and then 3 goals or more, the chance of winning the game increased from 29% to 68% to 91% and then to 100% eventually. “Three-goal cushion” was a guarantee of the three points instead of two-goal.
In terms of analysis, this analysis could go further in depth by separating the home and away game results to see whether it is easier to hold the lead in home.
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.
England League 2: How important is the first goal?
Performance analysis is usually thought as an elite tool which is for big clubs and high level leagues only because big clubs have the resources to afford analysis software and different IT technological support. In my opinion, it should not be the case. Performance analysis is a process which can be done by small football clubs also. Small clubs don’t have the big budget to do as much as the big clubs do but we are going through the same process. That’s why I would like to share my experience and work of doing performance analysis in a League 2 club.
No doubt, everybody knows the first goal is important. However, do they know how important it is? How to transfer the concept of “importance” to a quantified stuff, such as points? Different leagues have different levels; we can’t apply all the findings in Premier League to League 2 as there are so many differences such as playing styles, distance covered, etc. I would quantify the concept of “importance” by making statistics about the points got at the end of the game by a team when they scored or conceded the first goal. I would call it as “expected points” which means the points a team expected to get from the first goal. I would use different perspectives to analyse the first goal in league 2:
- Time of goal
- Match location (Home or Away)
- League position (In groups)
- Team
Average
I used the first 8 league games in each team, which means 95 games in total (the game between Wycombe and Bristol Rovers on 25/8 was excluded as it was abandoned 66 minutes). Among these 95 games, 86 games had goal(s). The following chart shows that the expected points of scoring first and conceding first are 2.30 and 0.49 in average. These would be used as a reference for other results found by using different perspectives.
Time of Goal
Time is an important factor of first goal. I divide 90 minutes into 6 categories, which mean 15 minutes per category.
Teams got most expected points (3 points) when they scored the first goal in 76-90 minutes. It is reasonable as there is not much time for the opponent to fight back. However, there were only 2 goals scored in this timeslot which makes this finding not so persuasive since the sample size is not big enough. I’d rather to ignore this timeslot. Teams could get high expected points if they score the first goal between 16 to 45 minutes, 30 minutes timeslot before the interval. Since the expected points drops after 45 minutes, the first goal scored within 30 minutes before half time are more valuable than first goal scored 30 minutes after half time. I heard argument that scoring before the interval is a great advantage but statistics in this chart showing that the expected points from 16-30 minutes and 31-45 minutes are similar. However, a similar argument may be right. Scoring before the interval is particularly damaging to the opposition. As you can see from the chart, teams conceding first goal just before half time could only get 0.29 expected points which is obviously less than conceding first goal in other timeslots which fits the argument. Nobody would like to concede an early goal but statistics show that the team don’t have to be pessimistic even they do concede an early goal within 1-15 minutes. Teams can get 0.64 expected points which is the highest comparing with other timeslots. This can be explained that the team still have much time to bounce back.
Location
From the above chart, teams scoring the first goal in home were more likely to keep the winning positions and get more points than scoring first in away game. It may be explained by home advantage that teams play better in home. However, the same argument can’t be applied in conceding first because they both got 0.49 expected points. Home advantage may help the team more to keep winning position but not bouncing back from behind.
League Position
Note that the league positions are updated to 1/10. In scoring first (blue columns), an obvious downward trend can be seen which shows that stronger teams were more likely to retain their winning position when scoring first. There is a big gap difference (0.51 expected points) between positions 1-6 and positions 7-12. Another big gap difference (0.49 expected points) appears in between positions 7-12 and positions 13-18. However, there is not much difference (0.11 expected points) between positions 13-18 and positions 19-24. I would say in terms of the ability to retain winning position after scoring first, there are 3 levels in league 2. Positions 13-24 would be at more or less the same level. Positions 7-12 are much better than the bottom half of the table but positions 1-6 are much better than positions 7-12 as well.
The downward trend can’t be seen in considering the conceding first (red columns). Positions 13-18 got a better result than positions 7-12, similar to positions 1-6. In fact, it surprises me a little bit as I expected the downward trend in conceding first same as scoring first. We would look at individual teams afterwards to see what we can find. However, the expected points from positions 19-24 (0.16 points) are obviously less than other groups. It shows that they struggle to bounce back if they concede the first goal.
Team
The tables are listed according to the league position (updated to 1/10). The above table is about scoring first. The first 8 teams in the league table all scored first goals for at least 4 times. Among these 8 teams, 4 of them get expected points of 3 which means that whey they scored first, they kept the winning position and won the game every time. Gillingham scored first goal in 7 out of 8 games which is a brilliant result. Moreover, they retained and won all those 7 games which make them the best in league 2. Rochdale performed very well since they scored first goal 6 times, which is the second best. However, their weakness is to retain the winning position because they can only get 1.8 expected points, which is the worst in the top half of the table. Plymouth scored first goal twice but they get only 0.5 expected points per game which means they couldn’t won a game even they scored first. This result is the worst in the league. We would look at the conceding first in the following table.
Although Plymouth is the worst team in retaining winning position, they are the strongest team in the league 2 to bounce back from conceding first. They conceded first goal four times, but they bounced back and won the game twice so they got 1.5 expected points per game, which is 50% better than a draw. This is the best result in the league 2. Exeter and Torquay are the second best teams, getting 1.3 expected points. It is worthy to note that Torquay and Plymouth are at the 15th and 16th of the table, but they are the two best team to bounce back from conceding first. This can explain why in the league position chart positions 13-18 performs surprisingly better than expected.
Conclusion:
- Scoring in 16-30, 31-45 minutes (30 minutes before half time) can get higher expected points
- Conceding 15 minutes before half time would be the worst time to concede the first goal
- Playing in home is more likely to retain the winning position
- In terms of bouncing back, there is no difference in playing home and away games
- The 12 teams in the top half of league table are much better in retaining winning position than the bottom half of the table. Among those 12 teams in the top half of table, the first 6 teams are significantly better than positions 7-12 teams.
- Positions 19-24 teams are obviously weak in bouncing back when conceding first
- Gillingham is the strongest team to score first and retain the winning position
- Rochdale is strong in scoring first but weak at retaining the winning position to the end of the game
- Plymouth is a special team. They are the worst team in scoring first and get only 0.5 expected points. However, they are the strongest team in bouncing back from conceding first, getting 1.5 expected points.
This is my first analysis article about league 2. I will write at least a few more articles about league 2 this season.
















