Dynamic Herb Cebu vs Azkals: prediction and stats
PFLRegular Season - 9Kick-off on May 27, 2023 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 11 wins, 4 draws and 0 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 24, 2023 | Stallion(home) | 0-0 | PFL |
| May 21, 2023 | Stallion(home) | 1-0 | PFL |
| Apr 23, 2023 | Kaya(home) | 1-1 | PFL |
| Apr 1, 2023 | Mendiola(away) | 3-1 | PFL |
| Mar 29, 2023 | Maharlika(away) | 2-0 | 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 3 meetings: 2 Dynamic Herb Cebu wins, 1 draw, 0 Azkals wins.
| Date | Score | Competition |
|---|---|---|
| Mar 11, 2023 | Azkals 1-2 Dynamic Herb Cebu | PFL |
| 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 Mar 11, 2023
How many goals should we expect?
Dynamic Herb Cebu score 2.4 and concede 1.0 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 |
|---|---|---|---|---|---|
| Dynamic Herb Cebu | 2.4 | 1.0 | 5 | 10/15 | 8/15 |
| 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 | Dynamic Herb Cebu | 25 | 14 | 6 | 5 | 74 | 25 | 48 |
A question about Dynamic Herb Cebu vs Azkals?
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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