Gjilani vs Ferizaj: result 4-0 and analysis
SuperligaRegular Season - 13Kick-off on November 3, 2019 at 12:00 PM (UTC)Stadiumi me bar sintetik Gjilan, Gjilan (Gnjilane)
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What was the result of Gjilani vs Ferizaj?
Gjilani won 4-0 on November 3, 2019.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Gjilani have 8 wins, 0 draws and 4 defeats; Ferizaj have 3, 0 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Trepça'89(home) | 0-2 | Superliga |
| Oct 23, 2019 | Llapi(home) | 3-0 | Superliga |
| Oct 18, 2019 | Feronikeli(away) | 2-1 | Superliga |
| Oct 8, 2019 | Dukagjini(home) | 1-0 | Superliga |
| Oct 3, 2019 | Flamurtari(away) | 4-1 | Superliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Drita(home) | 0-2 | Superliga |
| Oct 23, 2019 | Trepça'89(away) | 0-1 | Superliga |
| Oct 20, 2019 | Prishtina(home) | 0-2 | Superliga |
| Oct 5, 2019 | Llapi(away) | 4-2 | Superliga |
| Oct 2, 2019 | Ballkani(home) | 1-2 | Superliga |
What does the head-to-head say?
In the last meeting: 1 Gjilani win, 0 draws, 0 Ferizaj wins.
| Date | Score | Competition |
|---|---|---|
| Aug 24, 2019 | Ferizaj 0-3 Gjilani | Superliga |
How many goals should we expect?
Gjilani score 1.7 and concede 0.9 goals per match over their last 12; Ferizaj score 0.6 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gjilani | 1.7 | 0.9 | 6 | 4/12 | 6/12 |
| Ferizaj | 0.6 | 1.7 | 2 | 2/12 | 4/12 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Gjilani | 9 | 4 | 2 | 3 | 13 | 9 | 14 |
A question about Gjilani vs Ferizaj?
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