Slavija vs Modriča: result 2-0 and analysis
1st League - RSRegular Season - 21Kick-off on April 6, 2019 at 02:00 PM (UTC)Gradski Stadion SRC, Istočno Sarajevo
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What was the result of Slavija vs Modriča?
Slavija won 2-0 on April 6, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Slavija have 2 wins, 5 draws and 8 defeats; Modriča have 2, 7 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2019 | Rudar Prijedor(away) | 0-1 | 1st League - RS |
| Mar 23, 2019 | Podrinje Janja(home) | 2-0 | 1st League - RS |
| Mar 16, 2019 | Tekstilac Derventa(away) | 1-1 | 1st League - RS |
| Mar 9, 2019 | Borac Banja Luka(home) | 0-1 | 1st League - RS |
| Nov 24, 2018 | Kozara Gradiška(away) | 0-2 | 1st League - RS |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2019 | Željezničar Banja Luka(away) | 1-3 | 1st League - RS |
| Mar 23, 2019 | Rudar Prijedor(home) | 0-0 | 1st League - RS |
| Mar 16, 2019 | Podrinje Janja(away) | 1-1 | 1st League - RS |
| Mar 9, 2019 | Tekstilac Derventa(home) | 1-1 | 1st League - RS |
| Nov 24, 2018 | Borac Banja Luka(away) | 1-3 | 1st League - RS |
What does the head-to-head say?
Across the last 1 meetings: 0 Slavija win(s), 1 draw(s), 0 Modriča win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 13, 2018 | Modriča 0-0 Slavija | 1st League - RS |
How many goals should we expect?
Slavija score 0.6 and concede 1.3 goals per match over their last 15; Modriča score 0.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Slavija | 0.6 | 1.3 | 4 | 4/15 | 3/15 |
| Modriča | 0.7 | 1.1 | 5 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 4 | Slavija | 25 | 10 | 9 | 6 | 30 | 19 | 39 |
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