Mornar vs Igalo: result 0-0 and analysis
Second LeagueRegular Season - 13Kick-off on October 31, 2020 at 12:30 PM (UTC)Stadion SRC Topolica, Bar
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What was the result of Mornar vs Igalo?
Mornar and Igalo drew 0-0 on October 31, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mornar have 7 wins, 2 draws and 6 defeats; Igalo have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2020 | Arsenal Tivat(away) | 1-2 | Second League |
| Oct 18, 2020 | Kom(home) | 1-2 | Second League |
| Oct 11, 2020 | Grbalj(away) | 3-2 | Second League |
| Oct 7, 2020 | Berane(away) | 0-3 | Second League |
| Oct 3, 2020 | Bokelj(home) | 1-0 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2020 | Drezga(home) | 2-0 | Second League |
| Oct 18, 2020 | Ibar(away) | 2-1 | Second League |
| Oct 14, 2020 | Arsenal Tivat(away) | 0-2 | Second League |
| Oct 11, 2020 | Jedinstvo(away) | 0-0 | Second League |
| Oct 3, 2020 | Kom(home) | 0-1 | Second League |
What does the head-to-head say?
In the last meeting: 0 Mornar wins, 1 draw, 0 Igalo wins.
| Date | Score | Competition |
|---|---|---|
| Sep 13, 2020 | Igalo 2-2 Mornar | Second League |
How many goals should we expect?
Mornar score 1.9 and concede 1.7 goals per match over their last 15; Igalo score 1.4 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mornar | 1.9 | 1.7 | 5 | 8/15 | 10/15 |
| Igalo | 1.4 | 0.9 | 5 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Igalo | 36 | 8 | 8 | 20 | 21 | 58 | 32 |
A question about Mornar vs Igalo?
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