Dečić vs Igalo: result 1-1 and analysis
Second LeagueRegular Season - 23Kick-off on March 20, 2019 at 02:00 PM (UTC)Stadion Tuško Polje, Tuzi
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What was the result of Dečić vs Igalo?
Dečić and Igalo drew 1-1 on March 20, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dečić have 6 wins, 4 draws and 5 defeats; Igalo have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 17, 2019 | Jezero(away) | 0-0 | Second League |
| Mar 10, 2019 | Kom(home) | 1-2 | Second League |
| Mar 4, 2019 | Arsenal Tivat(away) | 0-5 | Second League |
| Dec 2, 2018 | Otrant-Olympic(home) | 1-0 | Second League |
| Nov 25, 2018 | Berane(away) | 4-0 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 17, 2019 | Jedinstvo(home) | 0-0 | Second League |
| Mar 10, 2019 | Mladost Lješkopolje(away) | 1-4 | Second League |
| Mar 3, 2019 | Bokelj(home) | 0-1 | Second League |
| Dec 5, 2018 | Jezero(home) | 2-0 | Second League |
| Dec 2, 2018 | Berane(home) | 1-1 | Second League |
What does the head-to-head say?
Across the last 2 meetings: 0 Dečić wins, 1 draw, 1 Igalo win.
| Date | Score | Competition |
|---|---|---|
| Oct 28, 2018 | Igalo 0-0 Dečić | Second League |
| Sep 5, 2018 | Dečić 0-2 Igalo | Second League |
How many goals should we expect?
Dečić score 1.3 and concede 0.9 goals per match over their last 15; Igalo score 0.5 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dečić | 1.3 | 0.9 | 7 | 5/15 | 7/15 |
| Igalo | 0.5 | 0.7 | 7 | 3/15 | 1/15 |
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 Dečić 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