A 409-match scope and a visible minute floor
The checked 2025 competition scope contains 409 completed matches and 1,138 goals. Those totals establish the size of the comparison; they are not a claim that every player appearance has the same coverage. A completed match is one recorded with a final result, including a decision after extra time or a shoot-out.
The player table is the competition's supplied goal ranking. To make the efficiency comparison less sensitive to very small workloads, the filtered view keeps only players with at least 450 recorded minutes. That floor is an editorial control: it removes the most extreme small-sample rates, but it does not make the remaining sample equal. A player with 480 minutes has a different workload from one with 1,111.
The rate is simple and reproducible: goals multiplied by 90, divided by minutes. For Ishak, the calculation is 8 × 90 ÷ 607 = 1.186 when rounded to three decimals. This describes the observed scoring return per 90-minute block in the supplied data. It is not a forecast of what would happen if a player completed a full season.
The filtered efficiency table
The first five rows already show why the two leaderboards answer different questions. Ishak and Kovačević both have eight goals, yet Ishak played 59 fewer minutes and therefore records the higher rate. Parrott has two more goals than either player, but his 917-minute denominator places him third on this measure.
| Efficiency rank | Player | Team | Goals | Minutes | Goals per 90 |
|---|---|---|---|---|---|
| 1 | M. Ishak | Lech Poznan | 8 | 607 | 1.186 |
| 2 | F. Kovačević | Celje | 8 | 666 | 1.081 |
| 3 | T. Parrott | AZ Alkmaar | 10 | 917 | 0.981 |
| 4 | A. Guðmundsson | Fiorentina | 5 | 480 | 0.938 |
| 5 | N. Mulahusejnović | FC Noah | 5 | 481 | 0.936 |
| 6 | Marius | Samsunspor | 5 | 627 | 0.718 |
| 7 | Álvaro García | Rayo Vallecano | 6 | 766 | 0.705 |
| 8 | L. Diaby-Fadiga | Raków Częstochowa | 4 | 526 | 0.684 |
| 9 | Jesús Imaz | Jagiellonia | 4 | 559 | 0.644 |
| 10 | I. Sadiq | AZ Alkmaar | 4 | 565 | 0.637 |
The gap at the top is narrow. Ishak's 1.186 is 0.105 above Kovačević's 1.081 and 0.205 above Parrott's 0.981. The two five-goal players immediately behind Parrott are also nearly level: Guðmundsson is at 0.938 and Mulahusejnović at 0.936. A ranking should show that proximity rather than imply a large difference in performance.
Why the raw leader changes position
Parrott's 10 goals make him the raw scoring leader in the supplied ranking rows. That is a meaningful volume result: he scored two more than the eight-goal pair and appeared in 13 recorded matches. The rate view asks another question—how much scoring was recorded for the minutes played? His 917 minutes are the largest denominator among the first three, so the same total is spread over more playing time than Ishak's eight goals.
This is not a correction of the raw leaderboard. It is a second lens. A competition editor can reasonably call Parrott the leading scorer and Ishak the leading scorer by the displayed minutes-normalised rate. The labels become misleading only when one is presented as if it answered the other question.
There is a similar reminder lower down. Guðmundsson and Mulahusejnović each have five goals, but their denominators differ by one minute and their rates round to 0.938 and 0.936. The result is a near tie, not evidence of a material separation. Rounding to three decimals makes the calculation readable while keeping the underlying minutes visible.
What the denominator adds
Minutes are not a quality score. They are a workload denominator. They help distinguish eight goals in 607 minutes from 10 goals in 917 minutes, but they do not tell us how those minutes were distributed across starts and substitute appearances, which opponents were faced or how many chances were created.
The table also contains role and team differences. AZ Alkmaar appears with Parrott and Sadiq in different rows; Fiorentina appears with Guðmundsson and other scorers in the broader top list. These names describe the recorded team context, not an attempt to rank clubs. The competition includes different routes and match states, so a goals-per-90 comparison should remain a descriptive snapshot.
A robust reading therefore reports at least three pieces of information together: raw goals, minutes and the derived rate. If a later edition adds shots, expected goals or match-by-match minutes, those measures can test whether the rate differences coincide with chance volume or simply reflect finishing in a small number of appearances.
Limits and method
The source for the figures is the read-only Xtra-Stats competition dataset. The scope is 409 completed matches and 1,138 goals; the player rows are the supplied 2025 scorer ranking. Rates are computed as goals × 90 ÷ minutes and rounded to three decimals. The filter is inclusive: 450 minutes qualifies, while any lower total is excluded.
The data do not establish opponent strength, shot location, expected goals, penalty share, starting status or the distribution of minutes across rounds. They also do not make the top list a complete census of every player who appeared. These limits matter because a rate can be sensitive to role and sample composition.
The useful finding is consequently narrow and reproducible: the raw leader is not the rate leader once the visible 450-minute floor is applied. That is a statement about this competition snapshot, not a claim about future scoring or overall player quality.
FAQ
Who scored the most goals in the supplied Conference League 2025 table?
T. Parrott leads the displayed raw table with 10 goals.
Who leads the 450-minute goals-per-90 comparison?
M. Ishak leads the filtered rows with 8 goals in 607 minutes, or 1.186 goals per 90.
Why is the 450-minute threshold used?
It reduces the influence of the smallest workloads. It is an editorial floor, not an official competition rule.
Does a higher rate prove a player is better?
No. The rate normalises minutes but does not control for role, opponents, chances or match state.