Garelli United vs Tuloy: result 1-4 and analysis
PFLRegular Season - 5Kick-off on May 11, 2024 at 01:00 PM (UTC)Rizal Memorial Stadium, Manila
Full time
What was the result of Garelli United vs Tuloy?
Tuloy won 1-4 on May 11, 2024.
Goalscorers
- 7′?Tuloy
- 11′?Tuloy
- 55′?Garelli United
- 67′?Tuloy (pen.)
- 79′?Tuloy
What is the recent form of both teams?
Over their last 10 matches in all competitions, Garelli United have 1 win, 0 draws and 9 defeats; Tuloy have 3, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2024 | Ceres(away) | 0-7 | PFL |
| Apr 27, 2024 | Loyola(away) | 1-5 | PFL |
| Apr 20, 2024 | Mendiola(home) | 4-2 | PFL |
| Apr 13, 2024 | Kaya(home) | 0-12 | PFL |
| Apr 7, 2024 | Stallion(home) | 0-7 | PFL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2024 | Philippine Air Force(away) | 1-2 | PFL |
| Apr 20, 2024 | Dynamic Herb Cebu(home) | 1-7 | PFL |
| Apr 14, 2024 | Manila Montet(away) | 5-0 | PFL |
| Apr 6, 2024 | Maharlika(home) | 2-3 | PFL |
| Sep 2, 2023 | Mendiola(away) | 4-4 | Copa Paulino Alcantara |
How many goals should we expect?
Garelli United score 0.8 and concede 5.8 goals per match over their last 10; Tuloy score 2.2 and concede 3.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Garelli United | 0.8 | 5.8 | 0 | 4/10 | 9/10 |
| Tuloy | 2.2 | 3.6 | 2 | 6/9 | 9/9 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
Garelli United sit 2nd in PFL (22 points from 24 matches) and Tuloy sit 3rd (18 points from 24 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Garelli United | 24 | 7 | 1 | 16 | 49 | 83 | 22 |
| 3 | Tuloy | 24 | 5 | 3 | 16 | 39 | 126 | 18 |
A question about Garelli United vs Tuloy?
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