Igalo vs Arsenal Tivat: result 3-2 and analysis
Second LeagueRegular Season - 34Kick-off on May 15, 2019 at 03:00 PM (UTC)Stadion Solila, Igalo
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What was the result of Igalo vs Arsenal Tivat?
Igalo won 3-2 on May 15, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Igalo have 4 wins, 4 draws and 7 defeats; Arsenal Tivat have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Apr 21, 2019 | Bokelj(away) | 0-1 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2019 | Jezero(home) | 2-0 | Second League |
| May 5, 2019 | Kom(away) | 0-1 | Second League |
| Apr 28, 2019 | Berane(home) | 2-1 | Second League |
| Apr 24, 2019 | Otrant-Olympic(home) | 0-1 | Second League |
| Apr 21, 2019 | Dečić(away) | 0-1 | Second League |
What does the head-to-head say?
Across the last 3 meetings: 1 Igalo win(s), 1 draw(s), 1 Arsenal Tivat win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 31, 2019 | Arsenal Tivat 1-0 Igalo | Second League |
| Nov 11, 2018 | Igalo 1-0 Arsenal Tivat | Second League |
| Sep 16, 2018 | Arsenal Tivat 0-0 Igalo | Second League |
Last archived meeting: Arsenal Tivat vs Igalo on Mar 31, 2019
How many goals should we expect?
Igalo score 0.7 and concede 1.1 goals per match over their last 15; Arsenal Tivat score 0.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Igalo | 0.7 | 1.1 | 5 | 4/15 | 4/15 |
| Arsenal Tivat | 0.9 | 0.7 | 6 | 2/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 9 | Igalo | 36 | 8 | 8 | 20 | 21 | 58 | 32 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy