Gudja United vs Sirens: result 0-3 and analysis
Challenge LeagueRegular Season - 11Kick-off on December 16, 2018 at 02:15 PM (UTC)Gudja United Football Ground, Gudja
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What was the result of Gudja United vs Sirens?
Sirens won 0-3 on December 16, 2018.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Gudja United have 4 wins, 5 draws and 1 defeat; Sirens have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 9, 2018 | Naxxar Lions(away) | 3-1 | Challenge League |
| Nov 25, 2018 | Santa Lucía(home) | 1-1 | Challenge League |
| Nov 11, 2018 | Zejtun Corinthians(away) | 1-0 | Challenge League |
| Nov 4, 2018 | Qrendi(home) | 3-2 | Challenge League |
| Oct 20, 2018 | Lija Athletic(away) | 1-4 | Challenge League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 9, 2018 | Pembroke Athleta(home) | 1-0 | Challenge League |
| Nov 24, 2018 | Mqabba(away) | 2-1 | Challenge League |
| Nov 10, 2018 | San Gwann(home) | 5-0 | Challenge League |
| Nov 5, 2018 | Zebbug Rangers(away) | 1-2 | Challenge League |
| Oct 21, 2018 | Naxxar Lions(away) | 3-0 | Challenge League |
How many goals should we expect?
Gudja United score 1.4 and concede 1.1 goals per match over their last 10; Sirens score 1.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gudja United | 1.4 | 1.1 | 4 | 6/10 | 4/10 |
| Sirens | 1.9 | 1.3 | 4 | 9/15 | 10/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
Gudja United sit 16th in Challenge League (0 points from 2 matches) and Sirens sit 8th (4 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Sirens | 3 | 1 | 1 | 1 | 4 | 4 | 4 |
| 16 | Gudja United | 2 | 0 | 0 | 2 | 0 | 5 | 0 |
A question about Gudja United 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