Manila Montet vs Manila Digger: result 2-8 and analysis
PFLMatchday 11Kick-off on July 13, 2024 at 07:00 AM (UTC)Rizal Memorial Stadium, Manila
Full time
What was the result of Manila Montet vs Manila Digger?
Manila Digger won 2-8 on July 13, 2024.
Goalscorers
- 7′?Manila Digger
- 22′?Manila Digger
- 42′?Manila Digger
- 45′?Manila Digger
- 49′?Manila Digger
- 73′?Manila Digger
- 76′?Manila Digger
- 78′?Manila Montet
- 87′?Manila Montet (pen.)
- 90′?Manila Digger
What is the recent form of both teams?
Over their last 13 matches in all competitions, Manila Montet have 0 wins, 0 draws and 13 defeats; Manila Digger have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 29, 2024 | Philippine Air Force(home) | 0-8 | PFL |
| Jun 23, 2024 | Dynamic Herb Cebu(away) | 0-7 | PFL |
| Jun 15, 2024 | Kaya(home) | 0-14 | PFL |
| Jun 8, 2024 | Garelli United(away) | 0-4 | PFL |
| Jun 2, 2024 | Maharlika(away) | 0-5 | PFL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 10, 2024 | Taguig(home) | 0-3 | PFL |
| Jul 6, 2024 | Garelli United(away) | 7-0 | PFL |
| Jun 22, 2024 | Philippine Air Force(away) | 2-1 | PFL |
| Jun 16, 2024 | Dynamic Herb Cebu(away) | 0-1 | PFL |
| Jun 1, 2024 | Kaya(away) | 1-3 | PFL |
How many goals should we expect?
Manila Montet score 0.1 and concede 7.3 goals per match over their last 13; Manila Digger score 1.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Manila Montet | 0.1 | 7.3 | 0 | 1/13 | 13/13 |
| Manila Digger | 1.9 | 1.9 | 1 | 11/15 | 12/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Manila Digger | 26 | 19 | 6 | 1 | 114 | 18 | 63 |
A question about Manila Montet vs Manila Digger?
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