Scope and method

The completed-match record for the 2025 AFC Champions League contains 117 matches and 311 goals in the supplied competition scope. The player rows retain team context, assists, matches and recorded minutes. That context matters because a tournament route can give one creator more opportunities, more recovery time, or a different mix of opponents than another.

The raw table is ordered by assists and keeps the leading lines visible. The second table applies a 450-minute floor, then calculates assists divided by minutes and multiplied by 90. Nineteen rows pass the floor. The rate is rounded to three decimal places to make close values readable, not to suggest that the third decimal is more certain than the underlying event record.

The question is comparative rather than predictive. A raw total measures accumulated final passes in this competition. A normalized rate describes the frequency of those recorded assists during a comparable minimum workload. Neither view alone captures the full creative role of a player.

The five-assist tie

Akram Afif of Al Sadd and M. Diaby of Al-Ittihad FC share first place with five assists. Their totals are equal, but their recorded minutes are not: Afif has 869 and Diaby 790. That 79-minute gap is already enough to produce different normalized rates.

Leading raw assist totals in the supplied AFC Champions League 2025 rows.
RankPlayerTeamAssistsMinutes
1=Akram AfifAl Sadd5869
1=M. DiabyAl-Ittihad FC5790
3Luis AlbertoAl-Duhail SC4499
4=Guilherme BalaShabab Al Ahli Dubai3925
4=T. PuangchanBangkok United3922
4=I. AlhaftBangkok United3911
4=I. ToneyAl-Ahli Jeddah3813
4=F. CartabiaShabab Al Ahli Dubai3625
4=GalenoAl-Ahli Jeddah3555
4=Muhannad Al ShanqitiAl-Ittihad FC3546
4=J. LingardFC Seoul3535
4=Y. BrahimiAl-Gharafa3450

The raw table gives the tie its proper weight. Both leaders produced five assists, and that is the correct answer when the question is total final-pass output. The minutes column adds context without taking that achievement away: Diaby reached the same total in less time than Afif, while Luis Alberto reached four in only 499 minutes.

The workload-adjusted table

Once the 450-minute floor is applied, Luis Alberto rises to the top with four assists in 499 minutes, or 0.721 per 90. Y. Brahimi follows with 0.600 from three assists in exactly 450 minutes. Diaby is third at 0.570, and Afif is fourth at 0.518. The raw tie is therefore separated by workload, while the rate table surfaces a different leader altogether.

Players with at least 450 recorded minutes, ordered by assists per 90.
PlayerTeamAssistsMinutesMatchesAssists/90
Luis AlbertoAl-Duhail SC449960.721
Y. BrahimiAl-Gharafa345070.600
M. DiabyAl-Ittihad FC579090.570
Akram AfifAl Sadd586990.518
J. LingardFC Seoul353570.505
Muhannad Al ShanqitiAl-Ittihad FC354670.495
GalenoAl-Ahli Jeddah355570.486
F. CartabiaShabab Al Ahli Dubai362580.432
I. ToneyAl-Ahli Jeddah381390.332
I. AlhaftBangkok United3911100.296
T. PuangchanBangkok United3922100.293
Guilherme BalaShabab Al Ahli Dubai3925100.292
E. MillotAl-Ahli Jeddah272680.248
D. SasakiVissel Kobe273880.244
T. HernandezAl-Hilal Saudi273780.244
R. ZuljBuriram United274980.240
D. TadicAl Wahda FC275280.239
B. BourigeaudAl-Duhail SC281790.220
P. ZuljBuriram United2880100.205

The filtered leaders are not simply the raw leaders with a mathematical adjustment. Luis Alberto’s four assists in 499 minutes create a different profile from five assists in 790 or 869 minutes. Brahimi’s exact-threshold line is also a useful reminder that eligibility and ranking are connected: one minute below the floor would remove the row from this view.

What the minutes gap changes

Diaby and Afif share the raw lead, yet their rates differ by 0.052 assists per 90. Diaby’s five assists are spread across 790 minutes, giving him 0.570. Afif’s five arrive over 869 minutes, giving him 0.518. The difference is meaningful for a workload question, but it does not change the fact that the two players tied for total output.

Luis Alberto turns the comparison around. He has one fewer raw assist than the tied leaders, but his four in 499 minutes lift him to 0.721. That line is a strong example of why totals and rates should be shown together: a rate can reveal a concentrated contribution, while the total records the extra accumulation that comes from playing longer.

Lingard and Brahimi show a similar threshold effect from another angle. Both have three assists and both pass the minimum, but Brahimi’s 450 minutes produce 0.600 while Lingard’s 535 minutes produce 0.505. The gap is not a statement about their roles or chance quality. It is the arithmetic consequence of the same assist count over different recorded time.

How to use both views

Start with the raw table when evaluating who delivered the most final passes across the campaign. It is the stable answer to a volume question and keeps the shared lead visible. Team context also belongs here: Afif’s total is attached to Al Sadd, Diaby’s to Al-Ittihad FC, and the table does not pretend those routes were identical.

Move to the rate table when the comparison needs a common time frame. Keep minutes and matches in view, especially near the 450-minute floor. A rate based on 450 or 499 minutes is informative but more exposed to small event changes than a much longer workload. Conversely, a larger workload can lower the rate while still representing substantial total value.

The careful summary is therefore two-part: Afif and Diaby shared the raw assist lead, while Luis Alberto led the filtered assists-per-90 ranking. That wording preserves both observations and avoids turning one chosen metric into a universal creative verdict.

Reading close rate values

The top of the rate table combines different kinds of workload. Luis Alberto’s four assists in 499 minutes produce 0.721, while Brahimi’s three in 450 produce 0.600. The difference is visible, but both lines are built on fewer than 500 recorded minutes. A small change in one event or a few minutes would have a larger proportional effect here than it would over a full campaign of playing time.

Further down, the table becomes a useful workload map. Toney, Alhaft, Puangchan and Guilherme Bala all have three assists, yet their minutes range from 813 to 925 and their rates run from 0.332 to 0.292. That spread is not a ranking of talent. It is a compact description of how equal totals look when they are accumulated over different amounts of time.

The same principle applies to the two-assist rows. Millot’s 0.248 comes from 726 minutes, while P. Zulj’s 0.205 comes from 880. The displayed rate helps the reader compare exposure, but the raw total and minutes remain essential. A player with fewer minutes has fewer chances to accumulate another assist, while a player with more minutes may be carrying a different tactical responsibility.

For that reason, the most responsible use of this table is to generate a follow-up question rather than a final label. Which players kept producing across a longer route? Which rates came from a defined role? Which team supplied the repeatable opportunities? Those questions need match context beyond the two columns shown here.

FAQ

Who led the raw AFC Champions League assist table?

Akram Afif and M. Diaby shared the lead with five assists each.

Who led after the 450-minute floor?

Luis Alberto led the 19 eligible rows with 0.721 assists per 90 from four assists in 499 minutes.

Why do Afif and Diaby have different rates?

They recorded the same five assists but different minutes: 869 for Afif and 790 for Diaby.

Does the rate ranking replace the raw ranking?

No. The rate normalizes workload; the raw list measures accumulated output. They should be read as complementary views.

Limits and interpretation

This is a descriptive comparison of the supplied AFC Champions League 2025 records. It depends on the recorded assists and minutes, the team-season grouping, the competition route, and the 450-minute rule. Assist attribution and minute recording can vary by provider.

The ranking does not measure unconverted chances, defensive work, opponent strength, role or future performance. Read the rate beside the total, minutes, matches and team context. The useful takeaway is the transparent contrast between a shared volume lead and a different workload-adjusted leader.

A floor also creates a deliberate selection effect. A player who exited early can be missing from the normalized table even when the recorded assists arrived at a rapid pace. Conversely, a player who played through more rounds has more time to accumulate totals and to let a rate settle. The two tables keep those stories separate so the reader can decide which question matters.

The most defensible summary is therefore paired rather than absolute: Afif and Diaby share five raw assists, while Luis Alberto leads the eligible rate group at 0.721. Keeping the definitions, minutes and team labels beside those claims makes the comparison useful for a follow-up analysis.

That discipline matters in a tournament with different paths and team contexts. The table is a starting point for deeper review, not a substitute for watching the roles that produced each assist.

It also keeps the apparent tie honest: equal totals can coexist with unequal exposure, and both facts belong in the headline.