Lija Athletic vs San Gwann: result 2-0 and analysis
Challenge LeagueMatchday 16Kick-off on February 10, 2019 at 04:30 PM (UTC)Lija Ground, Lija
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What was the result of Lija Athletic vs San Gwann?
Lija Athletic won 2-0 on February 10, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lija Athletic have 5 wins, 5 draws and 5 defeats; San Gwann have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 1, 2019 | Sirens(away) | 1-3 | Challenge League |
| Jan 20, 2019 | Naxxar Lions(home) | 3-1 | Challenge League |
| Jan 15, 2019 | Santa Lucía(home) | 1-2 | Challenge League |
| Jan 11, 2019 | Zejtun Corinthians(away) | 1-4 | Challenge League |
| Dec 14, 2018 | Qrendi(home) | 2-1 | Challenge League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 2, 2019 | Marsa(home) | 3-0 | Challenge League |
| Jan 20, 2019 | Swieqi United(away) | 0-1 | Challenge League |
| Jan 16, 2019 | Vittoriosa Stars(away) | 2-2 | Challenge League |
| Jan 12, 2019 | Gudja United(home) | 0-1 | Challenge League |
| Dec 14, 2018 | Pembroke Athleta(away) | 1-0 | Challenge League |
What does the head-to-head say?
In the last meeting: 1 Lija Athletic win, 0 draws, 0 San Gwann wins.
| Date | Score | Competition |
|---|---|---|
| Sep 26, 2018 | San Gwann 1-2 Lija Athletic | Challenge League |
Last archived meeting: San Gwann vs Lija Athletic on Sep 26, 2018
How many goals should we expect?
Lija Athletic score 1.7 and concede 1.7 goals per match over their last 15; San Gwann score 1.2 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lija Athletic | 1.7 | 1.7 | 2 | 12/15 | 11/15 |
| San Gwann | 1.2 | 2.0 | 4 | 6/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Lija Athletic vs San Gwann?
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