Dečić vs Bokelj: result 2-1 and analysis
Second LeagueRegular Season - 23Kick-off on June 3, 2020 at 03:30 PM (UTC)Stadion Tuško Polje, Tuzi
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What was the result of Dečić vs Bokelj?
Dečić won 2-1 on June 3, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dečić have 7 wins, 6 draws and 2 defeats; Bokelj have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 11, 2020 | Drezga(away) | 3-0 | Second League |
| Mar 8, 2020 | Lovćen(home) | 1-2 | Second League |
| Mar 1, 2020 | Otrant-Olympic(away) | 1-1 | Second League |
| Dec 1, 2019 | Ibar(home) | 3-3 | Second League |
| Nov 24, 2019 | Jedinstvo(home) | 2-2 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 30, 2020 | Drezga(away) | 2-0 | Second League |
| Mar 11, 2020 | Jedinstvo(home) | 2-0 | Second League |
| Mar 1, 2020 | Jezero(home) | 1-0 | Second League |
| Dec 5, 2019 | Mornar(home) | 0-0 | Second League |
| Dec 1, 2019 | Lovćen(away) | 2-0 | Second League |
What does the head-to-head say?
Across the last 6 meetings: 3 Dečić wins, 1 draw, 2 Bokelj wins.
| Date | Score | Competition |
|---|---|---|
| Oct 27, 2019 | Bokelj 3-1 Dečić | Second League |
| Sep 4, 2019 | Dečić 3-0 Bokelj | Second League |
| May 8, 2019 | Dečić 1-0 Bokelj | Second League |
| Mar 24, 2019 | Bokelj 0-0 Dečić | Second League |
| Nov 4, 2018 | Dečić 1-0 Bokelj | Second League |
| Sep 9, 2018 | Bokelj 3-0 Dečić | Second League |
How many goals should we expect?
Dečić score 1.7 and concede 1.1 goals per match over their last 15; Bokelj score 1.6 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dečić | 1.7 | 1.1 | 4 | 11/15 | 10/15 |
| Bokelj | 1.6 | 0.4 | 9 | 4/15 | 4/15 |
Over the last 15 matches in all competitions.
A question about Dečić vs Bokelj?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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