Kaya vs Loyola: result 3-2 and analysis
PFLRegular Season - 3Kick-off on November 13, 2024 at 08:00 AM (UTC)Rizal Memorial Stadium, Manila
Full time
What was the result of Kaya vs Loyola?
Kaya won 3-2 on November 13, 2024.
Goalscorers
- 7′M. ReyKaya
- 17′D. HorikoshiKaya
- 31′?Loyola
- 39′M. ReyKaya
- 61′?Loyola
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kaya have 9 wins, 1 draw and 5 defeats; Loyola have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2024 | Stallion(away) | 5-1 | PFL |
| Nov 7, 2024 | Eastern(away) | 2-1 | AFC Champions League Two |
| Oct 25, 2024 | Eastern(home) | 1-2 | AFC Champions League Two |
| Oct 19, 2024 | Maharlika(home) | 4-1 | PFL |
| Oct 6, 2024 | Davao Aguilas(away) | 1-1 | PFL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2024 | Manila Digger(away) | 0-4 | PFL |
| Oct 19, 2024 | Mendiola(away) | 3-2 | PFL |
| Oct 5, 2024 | Maharlika(home) | 1-4 | PFL |
| Sep 28, 2024 | Davao Aguilas(home) | 0-3 | PFL |
| Jul 13, 2024 | Kaya(home) | 0-3 | PFL |
What does the head-to-head say?
Across the last 2 meetings: 2 Kaya wins, 0 draws, 0 Loyola wins.
| Date | Score | Competition |
|---|---|---|
| Jul 13, 2024 | Loyola 0-3 Kaya | PFL |
| Aug 12, 2023 | Loyola 0-7 Kaya | Copa Paulino Alcantara |
How many goals should we expect?
Kaya score 3.3 and concede 1.6 goals per match over their last 15; Loyola score 2.1 and concede 3.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kaya | 3.3 | 1.6 | 4 | 8/15 | 12/15 |
| Loyola | 2.1 | 3.2 | 1 | 9/15 | 15/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Kaya | 25 | 15 | 3 | 7 | 76 | 21 | 48 |
A question about Kaya vs Loyola?
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