Qrendi vs Zabbar St. Patrick: result 2-3 and analysis
Challenge LeagueRegular Season - 18Kick-off on February 26, 2018 at 06:00 PM (UTC)Luxol Sports Ground, Pembroke
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What was the result of Qrendi vs Zabbar St. Patrick?
Zabbar St. Patrick won 2-3 on February 26, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Qrendi have 4 wins, 7 draws and 4 defeats; Zabbar St. Patrick have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 10, 2018 | Sirens(away) | 1-0 | Challenge League |
| Feb 3, 2018 | Marsa(home) | 2-2 | Challenge League |
| Jan 26, 2018 | San Gwann(away) | 2-3 | Challenge League |
| Jan 14, 2018 | Zejtun Corinthians(home) | 0-3 | Challenge League |
| Jan 7, 2018 | Vittoriosa Stars(away) | 1-0 | Challenge League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 9, 2018 | Vittoriosa Stars(home) | 2-1 | Challenge League |
| Feb 4, 2018 | Qormi(away) | 1-3 | Challenge League |
| Jan 27, 2018 | Melita(home) | 2-1 | Challenge League |
| Jan 13, 2018 | Pembroke Athleta(away) | 0-3 | Challenge League |
| Jan 5, 2018 | Zebbug Rangers(away) | 1-3 | Challenge League |
What does the head-to-head say?
In the last meeting: 0 Qrendi wins, 1 draw, 0 Zabbar St. Patrick wins.
| Date | Score | Competition |
|---|---|---|
| Oct 14, 2017 | Zabbar St. Patrick 1-1 Qrendi | Challenge League |
Last archived meeting: Zabbar St. Patrick vs Qrendi on Oct 14, 2017
How many goals should we expect?
Qrendi score 1.1 and concede 1.3 goals per match over their last 15; Zabbar St. Patrick score 0.9 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Qrendi | 1.1 | 1.3 | 3 | 9/15 | 6/15 |
| Zabbar St. Patrick | 0.9 | 2.0 | 1 | 11/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Qrendi vs Zabbar St. Patrick?
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