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PFL · Philippines

Azkals form, results and statistics

Based on 5 matches in our results archive, last updated 22 Oct 2026.

Azkals at a glance

5matches
1–1–3won–drawn–lost
0.80goals scored / game
2.00goals conceded / game
40%both teams scored
40%over 2.5 goals
20%clean sheets

Last 5 (newest first): DLWLL

Form and goals analysis

Azkals have played 5 matches in our results archive between 6 Sep 2026 and 11 Oct 2026, most of them in the PFL (Philippines). They won 1, drew 1 and lost 3, scoring 4 goals and conceding 10 — 0.80 scored and 2.00 conceded per game.

At home they won 1 of 3 (33%) and averaged 1.33 goals a game; on the road it was 0 wins from 2 (0%) with 0.00 goals a game. That is a clear home-and-away split, and worth remembering before reading too much into an away fixture.

Both teams scored in 2 of their 5 matches (40%), and 2 (40%) finished with three or more goals. They kept 1 clean sheets (20%) and failed to score in 2 (40%). Their goal totals sit close to the middle of the range we see across all competitions.

Over their most recent 5 matches the record is 1 won, 1 drawn and 3 lost, with 4 goals for and 10 against (0.80 points per game). That is in line with their longer-run average of 0.80 points per game.

Home and away

PWDLGFGAWin %
Home31114433%
Away2002060%
All511341020%

Previous PunterPick predictions for Azkals

Each prediction is shown exactly as it was published before kick-off, with the final score once the match was played.

Latest results

DateCompetitionMatch
11 Oct 2026PFLAzkals 1–1 MendiolaD
27 Sep 2026PFLManila Digger 2–0 AzkalsL
20 Sep 2026PFLAzkals 2–0 MaharlikaW
12 Sep 2026PFLStallion 4–0 AzkalsL
6 Sep 2026PFLAzkals 1–3 KayaL

How these numbers are calculated

Every figure on this page comes from final scores (90 minutes, extra time excluded) stored in the PunterPick results archive, which covers every competition our data provider reports. Percentages are simple counts over the matches listed; nothing is estimated or filled in. The attack and defence ratings come from our own team-strength model, explained on the methodology page.