Mornar vs Zeta: result 0-3 and analysis
First LeagueRegular Season - 35Kick-off on May 19, 2019 at 03:00 PM (UTC)Stadion SRC Topolica, Bar
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What was the result of Mornar vs Zeta?
Zeta won 0-3 on May 19, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mornar have 0 wins, 3 draws and 12 defeats; Zeta have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2019 | FK Mladost Podgorica(away) | 1-6 | First League |
| May 11, 2019 | Iskra(home) | 1-3 | First League |
| May 4, 2019 | Rudar(away) | 1-3 | First League |
| Apr 27, 2019 | Petrovac(home) | 1-5 | First League |
| Apr 20, 2019 | Lovćen(away) | 0-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2019 | Sutjeska(home) | 1-1 | First League |
| May 11, 2019 | Grbalj(away) | 0-0 | First League |
| May 4, 2019 | Buducnost Podgorica(away) | 0-0 | First League |
| Apr 27, 2019 | FK Mladost Podgorica(home) | 1-1 | First League |
| Apr 20, 2019 | Iskra(away) | 1-0 | First League |
What does the head-to-head say?
Across the last 3 meetings: 0 Mornar wins, 1 draw, 2 Zeta wins.
| Date | Score | Competition |
|---|---|---|
| Mar 30, 2019 | Zeta 2-0 Mornar | First League |
| Dec 1, 2018 | Mornar 0-0 Zeta | First League |
| Sep 19, 2018 | Zeta 2-0 Mornar | First League |
How many goals should we expect?
Mornar score 0.5 and concede 2.6 goals per match over their last 15; Zeta score 0.8 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mornar | 0.5 | 2.6 | 2 | 7/15 | 9/15 |
| Zeta | 0.8 | 0.9 | 6 | 5/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Mornar | 10 | 3 | 5 | 2 | 12 | 10 | 14 |
A question about Mornar vs Zeta?
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