Sirens vs Qormi: result 2-1 and analysis
Challenge LeagueRegular Season - 26Kick-off on April 30, 2017 at 02:00 PM (UTC)Sirens Stadium, St. Paul's Bay
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What was the result of Sirens vs Qormi?
Sirens won 2-1 on April 30, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sirens have 5 wins, 3 draws and 7 defeats; Qormi have 7, 7 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2017 | Naxxar Lions(away) | 1-2 | Challenge League |
| Apr 9, 2017 | Melita(home) | 2-2 | Challenge League |
| Mar 31, 2017 | Mqabba(away) | 1-2 | Challenge League |
| Mar 18, 2017 | Marsa(home) | 2-2 | Challenge League |
| Mar 12, 2017 | Lija Athletic(away) | 1-2 | Challenge League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2017 | Fgura United(home) | 3-0 | Challenge League |
| Apr 9, 2017 | Vittoriosa Stars(away) | 2-1 | Challenge League |
| Apr 2, 2017 | Rabat Ajax(home) | 2-2 | Challenge League |
| Mar 19, 2017 | Gharghur(away) | 1-1 | Challenge League |
| Mar 12, 2017 | Zebbug Rangers(away) | 0-1 | Challenge League |
What does the head-to-head say?
In the last meeting: 0 Sirens wins, 0 draws, 1 Qormi win.
| Date | Score | Competition |
|---|---|---|
| Jan 8, 2017 | Qormi 3-0 Sirens | Challenge League |
How many goals should we expect?
Sirens score 1.5 and concede 1.7 goals per match over their last 15; Qormi score 1.6 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sirens | 1.5 | 1.7 | 4 | 9/15 | 11/15 |
| Qormi | 1.6 | 0.8 | 5 | 9/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Sirens | 3 | 1 | 1 | 1 | 4 | 4 | 4 |
A question about Sirens vs Qormi?
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