Maharlika vs Loyola: result 2-2 and analysis
PFLMatchday 8Kick-off on June 9, 2024 at 09:30 AM (UTC)Rizal Memorial Stadium, Manila
Full time
What was the result of Maharlika vs Loyola?
Maharlika and Loyola drew 2-2 on June 9, 2024.
Goalscorers
- 9′?Maharlika
- 28′?Maharlika
- 45′?Loyola
- 90′O. SidibéLoyola
What is the recent form of both teams?
Over their last 15 matches in all competitions, Maharlika have 6 wins, 1 draw and 8 defeats; Loyola have 5, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Apr 27, 2024 | Dynamic Herb Cebu(away) | 0-10 | PFL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 2, 2024 | Davao Aguilas(away) | 0-3 | PFL |
| May 25, 2024 | Philippine Air Force(home) | 5-1 | PFL |
| May 19, 2024 | Philippine Army(away) | 4-3 | PFL |
| May 11, 2024 | Manila Montet(home) | 8-0 | PFL |
| May 4, 2024 | Manila Digger(away) | 1-3 | PFL |
How many goals should we expect?
Maharlika score 1.5 and concede 2.9 goals per match over their last 15; Loyola score 2.4 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Maharlika | 1.5 | 2.9 | 3 | 8/15 | 11/15 |
| Loyola | 2.4 | 2.7 | 1 | 6/13 | 12/13 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Maharlika | 24 | 12 | 3 | 9 | 55 | 42 | 39 |
A question about Maharlika vs Loyola?
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