Mornar vs Jedinstvo: result 1-3 and analysis
Second LeagueRegular Season - 19Kick-off on December 1, 2019 at 12:00 PM (UTC)Stadion SRC Topolica, Bar
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What was the result of Mornar vs Jedinstvo?
Jedinstvo won 1-3 on December 1, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mornar have 5 wins, 5 draws and 5 defeats; Jedinstvo have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2019 | Jezero(home) | 1-1 | Second League |
| Nov 17, 2019 | Arsenal Tivat(away) | 1-1 | Second League |
| Nov 3, 2019 | Dečić(home) | 0-2 | Second League |
| Oct 27, 2019 | Drezga(away) | 0-1 | Second League |
| Oct 20, 2019 | Lovćen(home) | 3-2 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2019 | Dečić(away) | 2-2 | Second League |
| Nov 17, 2019 | Drezga(home) | 1-0 | Second League |
| Nov 3, 2019 | Otrant-Olympic(home) | 3-0 | Second League |
| Oct 27, 2019 | Ibar(away) | 0-2 | Second League |
| Oct 20, 2019 | Bokelj(home) | 1-0 | Second League |
What does the head-to-head say?
Across the last 2 meetings: 0 Mornar wins, 2 draws, 0 Jedinstvo wins.
| Date | Score | Competition |
|---|---|---|
| Sep 29, 2019 | Jedinstvo 1-1 Mornar | Second League |
| Aug 11, 2019 | Mornar 1-1 Jedinstvo | Second League |
How many goals should we expect?
Mornar score 0.9 and concede 0.9 goals per match over their last 15; Jedinstvo score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mornar | 0.9 | 0.9 | 4 | 6/15 | 2/15 |
| Jedinstvo | 1.3 | 0.9 | 7 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Jedinstvo | 11 | 6 | 2 | 3 | 17 | 13 | 20 |
A question about Mornar vs Jedinstvo?
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