Mendiola vs Azkals: prediction and stats
PFLRegular Season - 9Kick-off on June 3, 2023 at 08:00 AM (UTC)Aboitiz Pitch, Lipa
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mendiola have 2 wins, 0 draws and 13 defeats; Azkals have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2023 | Azkals(away) | 3-0 | PFL |
| May 14, 2023 | Stallion(away) | 0-2 | PFL |
| Apr 30, 2023 | Kaya(away) | 1-6 | PFL |
| Apr 16, 2023 | Stallion(home) | 0-3 | PFL |
| Apr 1, 2023 | Dynamic Herb Cebu(home) | 1-3 | PFL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2023 | Mendiola(home) | 0-3 | PFL |
| Apr 15, 2023 | Kaya(away) | 2-3 | PFL |
| Mar 18, 2023 | Kaya(home) | 1-3 | PFL |
| Mar 11, 2023 | Dynamic Herb Cebu(home) | 1-2 | PFL |
| Feb 25, 2023 | Maharlika(home) | 4-1 | PFL |
What does the head-to-head say?
Across the last 6 meetings: 1 Mendiola win, 0 draws, 5 Azkals wins.
| Date | Score | Competition |
|---|---|---|
| May 20, 2023 | Azkals 0-3 Mendiola | PFL |
| Nov 6, 2022 | Mendiola 1-3 Azkals | PFL |
| Sep 28, 2022 | Azkals 3-0 Mendiola | PFL |
| Mar 28, 2022 | Azkals 3-0 Mendiola | Copa Paulino Alcantara |
| Nov 13, 2021 | Azkals 9-0 Mendiola | Copa Paulino Alcantara |
| Nov 3, 2020 | Azkals 2-0 Mendiola | PFL |
How many goals should we expect?
Mendiola score 0.7 and concede 3.0 goals per match over their last 15; Azkals score 1.5 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mendiola | 0.7 | 3.0 | 2 | 4/15 | 11/15 |
| Azkals | 1.5 | 1.4 | 3 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Mendiola | 24 | 3 | 2 | 19 | 21 | 110 | 11 |
A question about Mendiola 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