Loyola vs Taguig: result 0-2 and analysis
PFLRegular Season - 7Kick-off on March 2, 2025 at 11:00 AM (UTC)Mckinley Hill Football Field, Taguig
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What was the result of Loyola vs Taguig?
Taguig won 0-2 on March 2, 2025.
Goalscorers
- 27′?Taguig
- 33′?Taguig
What is the recent form of both teams?
Over their last 15 matches in all competitions, Loyola have 5 wins, 1 draw and 9 defeats; Taguig have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 22, 2025 | Mendiola(home) | 0-1 | PFL |
| Feb 17, 2025 | Maharlika(away) | 1-0 | PFL |
| Feb 8, 2025 | Davao Aguilas(away) | 1-0 | PFL |
| Jan 26, 2025 | PFF Developmental Club(home) | 2-0 | PFL |
| Dec 1, 2024 | Dynamic Herb Cebu(home) | 2-2 | PFL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 23, 2025 | Davao Aguilas(home) | 0-2 | PFL |
| Feb 16, 2025 | Stallion(away) | 2-1 | PFL |
| Feb 9, 2025 | Manila Digger(home) | 0-1 | PFL |
| Jan 26, 2025 | Maharlika(away) | 5-0 | PFL |
| Dec 1, 2024 | Kaya(home) | 0-1 | PFL |
What does the head-to-head say?
In the last meeting: 0 Loyola wins, 0 draws, 1 Taguig win.
| Date | Score | Competition |
|---|---|---|
| Jun 23, 2024 | Loyola 1-7 Taguig | PFL |
How many goals should we expect?
Loyola score 1.2 and concede 2.7 goals per match over their last 15; Taguig score 3.4 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Loyola | 1.2 | 2.7 | 4 | 6/15 | 11/15 |
| Taguig | 3.4 | 0.8 | 6 | 5/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Taguig | 25 | 18 | 4 | 3 | 91 | 15 | 58 |
A question about Loyola vs Taguig?
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