Zajazi vs Gorno Lisiče: result 0-3 and analysis
Second LeagueWest - 15Kick-off on March 13, 2018 at 01:00 PM (UTC)
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What was the result of Zajazi vs Gorno Lisiče?
Gorno Lisiče won 0-3 on March 13, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Zajazi have 3 wins, 3 draws and 9 defeats; Gorno Lisiče have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2018 | KF Gostivari(away) | 0-3 | Second League |
| Nov 25, 2017 | Labunishta(away) | 0-2 | Second League |
| Nov 18, 2017 | Lokomotiva(home) | 2-0 | Second League |
| Nov 11, 2017 | Velazerimi 77(home) | 1-2 | Second League |
| Nov 4, 2017 | Makedonija GjP(away) | 0-1 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2018 | Labunishta(home) | 1-1 | Second League |
| Nov 25, 2017 | Velazerimi 77(home) | 0-0 | Second League |
| Nov 18, 2017 | Makedonija GjP(away) | 0-3 | Second League |
| Nov 11, 2017 | Teteks(home) | 3-1 | Second League |
| Nov 4, 2017 | Struga(away) | 0-1 | Second League |
What does the head-to-head say?
Across the last 1 meetings: 0 Zajazi win(s), 0 draw(s), 1 Gorno Lisiče win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 1, 2017 | Gorno Lisiče 2-1 Zajazi | Second League |
Last archived meeting: Gorno Lisiče vs Zajazi on Oct 1, 2017
How many goals should we expect?
Zajazi score 0.7 and concede 1.6 goals per match over their last 15; Gorno Lisiče score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zajazi | 0.7 | 1.6 | 5 | 6/15 | 6/15 |
| Gorno Lisiče | 1.1 | 1.5 | 2 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Gorno Lisiče | 2 | 0 | 0 | 2 | 0 | 3 | 0 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy