Kom vs Igalo: result 2-0 and analysis
Second LeagueRegular Season - 35Kick-off on May 19, 2019 at 03:30 PM (UTC)Stadion FK Kom, Podgorica
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What was the result of Kom vs Igalo?
Kom won 2-0 on May 19, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kom have 8 wins, 4 draws and 3 defeats; Igalo have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2019 | Jezero(away) | 1-1 | Second League |
| May 8, 2019 | Berane(home) | 2-1 | Second League |
| May 5, 2019 | Arsenal Tivat(home) | 1-0 | Second League |
| Apr 28, 2019 | Otrant-Olympic(away) | 0-0 | Second League |
| Apr 24, 2019 | Dečić(home) | 2-0 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2019 | Arsenal Tivat(home) | 3-2 | Second League |
| May 8, 2019 | Otrant-Olympic(away) | 0-3 | Second League |
| May 5, 2019 | Dečić(home) | 0-0 | Second League |
| Apr 28, 2019 | Jedinstvo(away) | 0-0 | Second League |
| Apr 24, 2019 | Mladost Lješkopolje(home) | 2-1 | Second League |
What does the head-to-head say?
Across the last 3 meetings: 1 Kom win, 1 draw, 1 Igalo win.
| Date | Score | Competition |
|---|---|---|
| Apr 3, 2019 | Igalo 2-0 Kom | Second League |
| Nov 18, 2018 | Kom 1-0 Igalo | Second League |
| Sep 19, 2018 | Igalo 0-0 Kom | Second League |
How many goals should we expect?
Kom score 1.3 and concede 0.7 goals per match over their last 15; Igalo score 0.8 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kom | 1.3 | 0.7 | 8 | 5/15 | 6/15 |
| Igalo | 0.8 | 1.2 | 4 | 5/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 7 | Kom | 10 | 4 | 3 | 3 | 14 | 11 | 15 |
A question about Kom 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