Taguig vs Loyola: result 5-1 and analysis
PFLRegular Season - 7Kick-off on March 12, 2025 at 08:00 AM (UTC)
Full time
What was the result of Taguig vs Loyola?
Taguig won 5-1 on March 12, 2025.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Taguig have 9 wins, 2 draws and 4 defeats; Loyola have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 8, 2025 | Dynamic Herb Cebu(home) | 0-0 | PFL |
| Mar 2, 2025 | Loyola(away) | 2-0 | PFL |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 2, 2025 | Taguig(home) | 0-2 | PFL |
| 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 |
What does the head-to-head say?
Across the last 2 meetings: 2 Taguig wins, 0 draws, 0 Loyola wins.
| Date | Score | Competition |
|---|---|---|
| Mar 2, 2025 | Loyola 0-2 Taguig | PFL |
| Jun 23, 2024 | Loyola 1-7 Taguig | PFL |
How many goals should we expect?
Taguig score 2.3 and concede 0.7 goals per match over their last 15; Loyola score 1.1 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Taguig | 2.3 | 0.7 | 7 | 4/15 | 8/15 |
| Loyola | 1.1 | 2.4 | 4 | 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 Taguig 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