San Gwann vs Sirens: result 1-0 and analysis
Challenge LeagueRegular Season - 18Kick-off on February 26, 2018 at 05:00 PM (UTC)MFA Centenary Stadium, Ta'Qali
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What was the result of San Gwann vs Sirens?
San Gwann won 1-0 on February 26, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, San Gwann have 6 wins, 4 draws and 5 defeats; Sirens have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 11, 2018 | Marsa(away) | 1-0 | Challenge League |
| Feb 4, 2018 | Zejtun Corinthians(home) | 2-0 | Challenge League |
| Jan 26, 2018 | Qrendi(home) | 3-2 | Challenge League |
| Jan 14, 2018 | Vittoriosa Stars(away) | 2-3 | Challenge League |
| Jan 6, 2018 | Qormi(away) | 1-2 | Challenge League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 10, 2018 | Qrendi(home) | 0-1 | Challenge League |
| Feb 4, 2018 | Vittoriosa Stars(away) | 1-1 | Challenge League |
| Jan 26, 2018 | Qormi(home) | 1-2 | Challenge League |
| Jan 13, 2018 | Melita(away) | 2-0 | Challenge League |
| Jan 7, 2018 | Pembroke Athleta(away) | 2-3 | Challenge League |
What does the head-to-head say?
In the last meeting: 0 San Gwann wins, 1 draw, 0 Sirens wins.
| Date | Score | Competition |
|---|---|---|
| Oct 16, 2017 | Sirens 2-2 San Gwann | Challenge League |
How many goals should we expect?
San Gwann score 1.6 and concede 1.6 goals per match over their last 15; Sirens score 1.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| San Gwann | 1.6 | 1.6 | 3 | 9/15 | 8/15 |
| Sirens | 1.7 | 1.9 | 1 | 12/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Sirens | 3 | 1 | 1 | 1 | 4 | 4 | 4 |
A question about San Gwann vs Sirens?
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