Dynamic Herb Cebu vs Azkals: prediction and stats
PFLRegular Season - 5Kick-off on October 29, 2022 at 07:00 AM (UTC)
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dynamic Herb Cebu have 7 wins, 4 draws and 4 defeats; Azkals have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2022 | Ceres(home) | 3-3 | PFL |
| Oct 9, 2022 | Kaya(home) | 3-2 | PFL |
| Sep 24, 2022 | Mendiola(away) | 6-2 | PFL |
| Sep 20, 2022 | Maharlika(home) | 1-0 | PFL |
| Sep 16, 2022 | Mendiola(home) | 7-1 | PFL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2022 | Ceres(away) | 2-2 | PFL |
| Oct 15, 2022 | Maharlika(away) | 1-1 | PFL |
| Oct 1, 2022 | Kaya(home) | 0-1 | PFL |
| Sep 28, 2022 | Mendiola(home) | 3-0 | PFL |
| Sep 24, 2022 | Stallion(home) | 0-2 | PFL |
What does the head-to-head say?
Across the last 2 meetings: 1 Dynamic Herb Cebu win, 1 draw, 0 Azkals wins.
| Date | Score | Competition |
|---|---|---|
| Sep 3, 2022 | Azkals 0-0 Dynamic Herb Cebu | PFL |
| Apr 28, 2022 | Dynamic Herb Cebu 3-0 Azkals | Copa Paulino Alcantara |
Last archived meeting: Azkals vs Dynamic Herb Cebu on Sep 3, 2022
How many goals should we expect?
Dynamic Herb Cebu score 2.3 and concede 1.6 goals per match over their last 15; Azkals score 1.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dynamic Herb Cebu | 2.3 | 1.6 | 2 | 10/15 | 10/15 |
| Azkals | 1.1 | 1.4 | 4 | 4/15 | 8/15 |
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 | Dynamic Herb Cebu | 25 | 14 | 6 | 5 | 74 | 25 | 48 |
A question about Dynamic Herb Cebu 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