What the ranking measures
A denominator-specific efficiency rate
This ranking measures how many goals a team scored for every 100 shots on target in the 2025-26 Champions League figures supplied for the comparison. It is therefore a shot-on-target conversion rate, not a conversion rate based on every shot attempted.
The formula is:
goals ÷ shots on target × 100
For example, PSV Eindhoven recorded 16 goals and 31 shots on target. Applying the formula gives 16 ÷ 31 × 100, shown in the ranking as 51.6 goals per 100 shots on target. The goals figure and the shots-on-target denominator should always be read alongside the rate; the rate alone does not show how much evidence sits behind it.
The measure answers a narrow question: how frequently did shots on target become goals, relative to the number of shots on target recorded? It does not answer how many total shots a team took, how often it created shots on target, or whether it had the most goals overall. Those distinctions matter when comparing teams with different totals and different numbers of covered matches.
A higher figure is an observed relationship between goals and shots on target. It should not automatically be treated as a pure measure of finishing ability. The result can reflect finishing, chance quality, goalkeeper outcomes and sample variance, all of which are relevant when interpreting the table.
Method and match coverage
The inclusion rule
The ranking applies a minimum of six statistically covered matches. Teams with fewer than six covered matches are outside the comparison. Every team shown below meets that threshold, but the number of covered matches is not identical across the top 10.
The match count is included as context rather than as part of the formula. The rate uses goals and shots on target; matches show the amount of covered competition represented by each team’s figures. In this list, coverage ranges from six matches for Ferencvarosi TC to 15 matches for Atletico Madrid and Paris Saint Germain.
The rates are shown to one decimal place, and the underlying goals and shots-on-target totals are retained in full as supplied. This convention avoids presenting more precision than the ranking provides while keeping the denominator visible.
How to read the comparison
A team can rank highly because it has a high ratio of goals to shots on target, even if its total number of shots on target is relatively small. Conversely, a team can record many goals and many shots on target while placing lower in the rate ranking. Neither result should be mistaken for the other.
For that reason, the table reports four separate pieces of information: covered matches, goals, shots on target and goals per 100 shots on target. Together, they show both the ranking position and the scale of the figures behind it.
The top 10 teams
PSV Eindhoven heads the verified top 10 with a rate of 51.6. Borussia Dortmund and Qarabag follow closely, at 46.3 and 46.2 respectively. At the other end of this top-10 list, Bayern München records 38.1. The range from first to 10th is therefore 13.5 goals per 100 shots on target.
| Rank | Team | Covered matches | Goals | Shots on target | Rate: goals per 100 shots on target |
|---|---|---|---|---|---|
| 1 | PSV Eindhoven | 8 | 16 | 31 | 16 / 31 = 51.6 |
| 2 | Borussia Dortmund | 8 | 19 | 41 | 19 / 41 = 46.3 |
| 3 | Qarabag | 10 | 18 | 39 | 18 / 39 = 46.2 |
| 4 | Ferencvarosi TC | 6 | 13 | 29 | 13 / 29 = 44.8 |
| 5 | Eintracht Frankfurt | 8 | 10 | 24 | 10 / 24 = 41.7 |
| 6 | Tottenham | 10 | 22 | 54 | 22 / 54 = 40.7 |
| 7 | Atletico Madrid | 15 | 32 | 79 | 32 / 79 = 40.5 |
| 8 | Paris Saint Germain | 15 | 40 | 102 | 40 / 102 = 39.2 |
| 9 | Bodo/Glimt | 12 | 23 | 60 | 23 / 60 = 38.3 |
| 10 | Bayern München | 14 | 43 | 113 | 43 / 113 = 38.1 |
The top four all exceed 44.8: PSV Eindhoven, Borussia Dortmund, Qarabag and Ferencvarosi TC. The next six are below that mark, although Tottenham, Atletico Madrid and Paris Saint Germain remain above or near 39.2. These are descriptive differences in the supplied figures, not proof that one team’s underlying process caused another team’s position.
Volume versus efficiency
The highest rate is not the highest total
The most immediate contrast is between PSV Eindhoven and Bayern München. PSV ranks first with 16 goals from 31 shots on target and a rate of 51.6. Bayern München ranks 10th but has the largest totals in the table: 43 goals and 113 shots on target, producing 38.1.
This shows why goals per 100 shots on target and total goals should not be treated as interchangeable rankings. Bayern München’s 43 goals are more than PSV Eindhoven’s 16, while PSV’s ratio is higher. The two figures describe different aspects of the same set of team results.
Large denominators add context
Paris Saint Germain provides another useful comparison. It has 40 goals from 102 shots on target, the second-largest shot-on-target total in the table, but its rate is 39.2. Atletico Madrid has fewer goals, at 32, and fewer shots on target, at 79, yet its rate is higher at 40.5.
The difference is not a contradiction. A rate compares the numerator with its denominator, so a team’s position depends on the relationship between its goals and shots on target rather than on either total by itself. Reading the rate next to both totals prevents a small or large denominator from being overlooked.
Close rates can sit on different volumes
Borussia Dortmund and Qarabag are separated by only 0.1 in the ranking: Dortmund is at 46.3 from 19 goals and 41 shots on target, while Qarabag is at 46.2 from 18 goals and 39 shots on target. Dortmund has eight covered matches and Qarabag has 10.
The closeness of the rates does not make their match coverage or totals identical. It simply indicates that the supplied goals-to-shots-on-target relationships produce very similar displayed rates. The same principle applies throughout the table.
Notable cases in the ranking
PSV Eindhoven sets the pace
PSV Eindhoven is the clear leader on the selected measure. Its 51.6 is 5.3 higher than Borussia Dortmund’s 46.3, the second-best listed rate. The PSV line is based on eight covered matches, 16 goals and 31 shots on target. That combination makes it the benchmark for shot-on-target conversion in this top 10, while the match count and denominator remain important qualifications.
Ferencvarosi TC sits at the coverage minimum
Ferencvarosi TC ranks fourth with 13 goals from 29 shots on target, or 44.8 per 100. Its six covered matches are the fewest permitted by the method. The figure is therefore part of the ranking, but it should be read with the coverage threshold in view rather than treated as directly equivalent to a rate based on 15 covered matches.
The middle of the list is tightly grouped
Eintracht Frankfurt ranks fifth at 41.7 from 10 goals and 24 shots on target. Tottenham is sixth at 40.7 from 22 goals and 54 shots on target, followed by Atletico Madrid at 40.5 from 32 goals and 79 shots on target. The adjacent rates are close, but the underlying match counts and totals vary: Frankfurt has eight covered matches, Tottenham 10 and Atletico Madrid 15.
Bodo/Glimt and Bayern München complete the list at 38.3 and 38.1. Bodo/Glimt’s line is 23 goals from 60 shots on target across 12 covered matches. Bayern München’s is 43 goals from 113 shots on target across 14. Their places illustrate again that more goals or more shots on target do not automatically produce a higher rate.
Limitations and interpretation
It is not conversion on all shots
The largest methodological limitation is also the most important definition: the denominator is shots on target. A shot that is not on target is not part of this calculation. Consequently, the table should not be described as conversion on all shots, and its figures should not be used as though they were calculated from every attempt.
The rate does not isolate one cause
A high goals-per-100-shots-on-target rate can reflect finishing, chance quality, goalkeeper outcomes and sample variance. The metric records the observed relationship between goals and shots on target; it does not separate those possible influences. It is therefore not evidence, by itself, that a team’s finishing skill alone explains its ranking.
This is a correlation-versus-causation point in plain terms: seeing a higher rate alongside a team’s results does not prove that one isolated attribute caused the rate. Nor does the table establish that the displayed rate would remain unchanged with different covered matches or a different sample.
Coverage and scale differ
The minimum of six statistically covered matches prevents the list from including teams below that coverage level, but the teams shown still span six to 15 covered matches. Their shot-on-target totals also vary substantially, from 24 for Eintracht Frankfurt to 113 for Bayern München. A six-match line and a 15-match line should therefore be considered with their respective denominators and coverage counts visible.
The most responsible reading is to use the rate as one narrowly defined comparison and retain the goals, shots on target and covered matches beside it. That preserves both the efficiency signal and the limitations of the evidence.
Five-question FAQ
1. What does goals per 100 shots on target mean?
It is the number of goals divided by shots on target, multiplied by 100. The formula is goals ÷ shots on target × 100. PSV Eindhoven’s 16 goals from 31 shots on target produce the listed rate of 51.6.
2. Does this ranking use all shots?
No. It uses shots on target only. It is not conversion on all shots, so a team’s attempts that were not on target are outside this particular denominator.
3. Why does the table show covered matches?
The ranking applies a minimum of six statistically covered matches. The match count shows the coverage behind each team’s figures and helps readers distinguish, for example, Ferencvarosi TC’s six covered matches from the 15 covered matches listed for Atletico Madrid and Paris Saint Germain.
4. Which team leads the 2025-26 ranking?
PSV Eindhoven leads the top 10 with 51.6 goals per 100 shots on target. Its underlying figures are eight covered matches, 16 goals and 31 shots on target.
5. Does the highest rate prove that a team has the best finishing skill?
No. A high rate can reflect finishing, chance quality, goalkeeper outcomes and sample variance. The ranking is descriptive and should not be presented as proof that finishing skill alone caused a team to lead.