Manila Montet vs Mendiola: result 0-6 and analysis
PFLRegular Season - 4Kick-off on May 4, 2024 at 12:00 PM (UTC)Rizal Memorial Stadium, Manila
Full time
What was the result of Manila Montet vs Mendiola?
Mendiola won 0-6 on May 4, 2024.
Goalscorers
- 35′?Mendiola
- 48′?Mendiola
- 52′?Mendiola
- 62′?Mendiola
- 68′?Mendiola
- 77′?Mendiola
What is the recent form of both teams?
Over their last 4 matches in all competitions, Manila Montet have 0 wins, 0 draws and 4 defeats; Mendiola have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2024 | Davao Aguilas(away) | 0-6 | PFL |
| Apr 21, 2024 | Stallion(away) | 0-13 | PFL |
| Apr 14, 2024 | Tuloy(home) | 0-5 | PFL |
| Apr 7, 2024 | Taguig(home) | 1-4 | PFL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 27, 2024 | Manila Digger(home) | 2-3 | PFL |
| Apr 20, 2024 | Garelli United(away) | 2-4 | PFL |
| Apr 14, 2024 | Davao Aguilas(away) | 0-1 | PFL |
| Apr 6, 2024 | Philippine Air Force(away) | 7-0 | PFL |
| Oct 9, 2023 | Dynamic Herb Cebu(home) | 1-4 | Copa Paulino Alcantara |
How many goals should we expect?
Manila Montet score 0.3 and concede 7.0 goals per match over their last 4; Mendiola score 1.7 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Manila Montet | 0.3 | 7.0 | 0 | 1/4 | 4/4 |
| Mendiola | 1.7 | 2.2 | 4 | 7/15 | 9/15 |
Over the last 4 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Mendiola | 24 | 3 | 2 | 19 | 21 | 110 | 11 |
A question about Manila Montet vs Mendiola?
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