Match

Kaya vs Dynamic Herb Cebu: result 1-2 and analysis

PFLSemi-finalsKick-off on April 26, 2025 at 09:00 AM (UTC)Mckinley Hill Football Field, Taguig

Kaya
1-2
Dynamic Herb Cebu

Full time

What was the result of Kaya vs Dynamic Herb Cebu?

Dynamic Herb Cebu won 1-2 on April 26, 2025.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Kaya have 10 wins, 1 draw and 4 defeats; Dynamic Herb Cebu have 6, 3 and 6.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Kaya
DateOpponentScoreCompetition
Apr 13, 2025Stallion(home)2-0PFL
Apr 5, 2025Manila Digger(home)1-1PFL
Apr 2, 2025Loyola(away)1-0PFL
Mar 30, 2025Taguig(home)2-0PFL
Mar 15, 2025Mendiola(away)6-2PFL
Dynamic Herb Cebu
DateOpponentScoreCompetition
Apr 12, 2025Davao Aguilas(home)1-1PFL
Apr 6, 2025Stallion(home)1-0PFL
Apr 2, 2025Stallion(away)1-3PFL
Mar 29, 2025Loyola(home)3-1PFL
Mar 16, 2025Maharlika(home)3-0PFL

What does the head-to-head say?

Across the last 6 meetings: 3 Kaya wins, 1 draw, 2 Dynamic Herb Cebu wins.

DateScoreCompetition
Mar 1, 2025Dynamic Herb Cebu 1-2 KayaPFL
Feb 2, 2025Kaya 3-1 Dynamic Herb CebuPFL
May 5, 2024Kaya 1-0 Dynamic Herb CebuPFL
Apr 23, 2023Dynamic Herb Cebu 1-1 KayaPFL
Feb 19, 2023Kaya 2-3 Dynamic Herb CebuPFL
Oct 9, 2022Dynamic Herb Cebu 3-2 KayaPFL

Last archived meeting: Dynamic Herb Cebu vs Kaya on Mar 1, 2025

How many goals should we expect?

Kaya score 1.9 and concede 0.9 goals per match over their last 15; Dynamic Herb Cebu score 1.5 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kaya1.90.958/157/15
Dynamic Herb Cebu1.51.558/1511/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Kaya sit 3rd in PFL (48 points from 25 matches) and Dynamic Herb Cebu sit 4th (48 points from 25 matches).

2025-26 standings
#ClubPWDLGFGAPts
3Kaya251537762148
4Dynamic Herb Cebu251465742548

A question about Kaya vs Dynamic Herb Cebu?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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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

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