Loyola vs Davao Aguilas: result 0-3 and analysis
PFLMatchday 1Kick-off on September 28, 2024 at 08:00 AM (UTC)Rizal Memorial Stadium, Manila
Full time
What was the result of Loyola vs Davao Aguilas?
Davao Aguilas won 0-3 on September 28, 2024.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Loyola have 5 wins, 1 draw and 9 defeats; Davao Aguilas have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 13, 2024 | Kaya(home) | 0-3 | PFL |
| Jul 6, 2024 | Tuloy(away) | 2-6 | PFL |
| Jun 30, 2024 | Ceres(home) | 0-6 | PFL |
| Jun 23, 2024 | Taguig(home) | 1-7 | PFL |
| Jun 15, 2024 | Mendiola(home) | 4-1 | PFL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 14, 2024 | Philippine Air Force(home) | 5-2 | PFL |
| Jul 7, 2024 | Kaya(away) | 0-1 | PFL |
| Jun 30, 2024 | Maharlika(home) | 8-0 | PFL |
| Jun 23, 2024 | Tuloy(away) | 3-1 | PFL |
| Jun 16, 2024 | Ceres(away) | 0-0 | PFL |
What does the head-to-head say?
In the last meeting: 0 Loyola wins, 0 draws, 1 Davao Aguilas win.
| Date | Score | Competition |
|---|---|---|
| Jun 2, 2024 | Davao Aguilas 3-0 Loyola | PFL |
Last archived meeting: Davao Aguilas vs Loyola on Jun 2, 2024
How many goals should we expect?
Loyola score 2.1 and concede 3.5 goals per match over their last 15; Davao Aguilas score 2.7 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Loyola | 2.1 | 3.5 | 1 | 8/15 | 15/15 |
| Davao Aguilas | 2.7 | 0.5 | 9 | 4/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Davao Aguilas | 25 | 12 | 4 | 9 | 51 | 34 | 40 |
A question about Loyola vs Davao Aguilas?
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