Loyola vs Stallion: result 2-2 and analysis
PFLRegular Season - 8Kick-off on March 16, 2025 at 08:00 AM (UTC)Mckinley Hill Football Field, Taguig
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What was the result of Loyola vs Stallion?
Loyola and Stallion drew 2-2 on March 16, 2025.
Goalscorers
- 8′?Stallion
- 24′?Loyola
- 45′?Stallion
- 71′?Loyola
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; Stallion have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 12, 2025 | Taguig(away) | 1-5 | PFL |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 9, 2025 | Davao Aguilas(away) | 1-1 | PFL |
| Mar 1, 2025 | Mendiola(away) | 6-0 | PFL |
| Feb 23, 2025 | PFF Developmental Club(away) | 3-2 | PFL |
| Feb 16, 2025 | Taguig(home) | 1-2 | PFL |
| Feb 8, 2025 | Maharlika(home) | 0-0 | PFL |
What does the head-to-head say?
Across the last 2 meetings: 1 Loyola win, 0 draws, 1 Stallion win.
| Date | Score | Competition |
|---|---|---|
| Nov 24, 2024 | Stallion 0-3 Loyola | PFL |
| Apr 13, 2024 | Stallion 5-0 Loyola | PFL |
How many goals should we expect?
Loyola score 1.2 and concede 2.3 goals per match over their last 15; Stallion score 2.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Loyola | 1.2 | 2.3 | 4 | 6/15 | 10/15 |
| Stallion | 2.3 | 1.3 | 5 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 6 | Stallion | 26 | 9 | 10 | 7 | 65 | 36 | 37 |
A question about Loyola vs Stallion?
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