Maharlika vs Azkals: result 1-1 and analysis
PFLRegular Season - 4Kick-off on October 15, 2022 at 08:00 AM (UTC)
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What was the result of Maharlika vs Azkals?
Maharlika and Azkals drew 1-1 on October 15, 2022.
Goalscorers
- 67′?Maharlika
- 82′?Azkals (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Maharlika have 1 win, 1 draw and 13 defeats; Azkals have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2022 | Stallion(away) | 0-4 | PFL |
| Oct 1, 2022 | Ceres(away) | 0-1 | PFL |
| Sep 20, 2022 | Dynamic Herb Cebu(away) | 0-1 | PFL |
| Sep 10, 2022 | Dynamic Herb Cebu(away) | 1-5 | PFL |
| Sep 4, 2022 | Mendiola(away) | 0-1 | PFL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2022 | Kaya(home) | 0-1 | PFL |
| Sep 28, 2022 | Mendiola(home) | 3-0 | PFL |
| Sep 24, 2022 | Stallion(home) | 0-2 | PFL |
| Sep 3, 2022 | Dynamic Herb Cebu(home) | 0-0 | PFL |
| Aug 20, 2022 | Maharlika(home) | 4-0 | PFL |
What does the head-to-head say?
Across the last 3 meetings: 0 Maharlika wins, 0 draws, 3 Azkals wins.
| Date | Score | Competition |
|---|---|---|
| Aug 20, 2022 | Azkals 4-0 Maharlika | PFL |
| Apr 25, 2022 | Azkals 3-1 Maharlika | Copa Paulino Alcantara |
| Nov 6, 2020 | Maharlika 0-5 Azkals | PFL |
How many goals should we expect?
Maharlika score 0.5 and concede 2.6 goals per match over their last 15; Azkals score 1.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Maharlika | 0.5 | 2.6 | 0 | 7/15 | 10/15 |
| Azkals | 1.7 | 1.3 | 5 | 3/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Maharlika | 24 | 12 | 3 | 9 | 55 | 42 | 39 |
A question about Maharlika vs Azkals?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy