Philippine Army vs Maharlika: result 0-1 and analysis
PFLRegular Season - 8Kick-off on June 15, 2024 at 09:45 AM (UTC)Rizal Memorial Stadium, Manila
Full time
What was the result of Philippine Army vs Maharlika?
Maharlika won 0-1 on June 15, 2024.
Goalscorers
- 90′?Maharlika
What is the recent form of both teams?
Over their last 14 matches in all competitions, Philippine Army have 3 wins, 1 draw and 10 defeats; Maharlika have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 1, 2024 | Tuloy(away) | 4-2 | PFL |
| May 29, 2024 | Manila Montet(home) | 5-0 | PFL |
| May 19, 2024 | Loyola(home) | 3-4 | PFL |
| May 12, 2024 | Mendiola(away) | 0-0 | PFL |
| May 4, 2024 | Davao Aguilas(home) | 0-5 | PFL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2024 | Loyola(home) | 2-2 | PFL |
| Jun 2, 2024 | Manila Montet(home) | 5-0 | PFL |
| May 29, 2024 | Taguig(away) | 1-3 | PFL |
| May 18, 2024 | Garelli United(home) | 3-1 | PFL |
| May 5, 2024 | Philippine Air Force(home) | 4-2 | PFL |
How many goals should we expect?
Philippine Army score 1.7 and concede 3.0 goals per match over their last 14; Maharlika score 1.7 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Philippine Army | 1.7 | 3.0 | 2 | 8/14 | 12/14 |
| Maharlika | 1.7 | 2.9 | 3 | 9/15 | 12/15 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
Philippine Army sit 11th in PFL (2 points from 20 matches) and Maharlika sit 1st (39 points from 24 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | MaharlikaPhilippines Football League, Classification Round | 24 | 12 | 3 | 9 | 55 | 42 | 39 |
| 11 | Philippine ArmyPhilippines Football League | 20 | 0 | 2 | 18 | 14 | 124 | 2 |
A question about Philippine Army vs Maharlika?
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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