Osogovo vs Rosoman: result 4-1 and analysis
Second LeagueEast - 19Kick-off on March 13, 2021 at 02:00 PM (UTC)Stadion Nikola Mantov, Kočani
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What was the result of Osogovo vs Rosoman?
Osogovo won 4-1 on March 13, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Osogovo have 5 wins, 7 draws and 3 defeats; Rosoman have 0, 1 and 14.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 6, 2021 | Plačkovica(away) | 1-0 | Second League |
| Feb 27, 2021 | Sasa(home) | 1-1 | Second League |
| Dec 12, 2020 | Rosoman(away) | 7-1 | Second League |
| Dec 5, 2020 | Pobeda(home) | 2-0 | Second League |
| Nov 28, 2020 | Sloga Vinica(away) | 0-3 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 6, 2021 | Bregalnica Štip(home) | 1-5 | Second League |
| Feb 27, 2021 | Tikveš(away) | 0-3 | Second League |
| Dec 12, 2020 | Osogovo(home) | 1-7 | Second League |
| Dec 5, 2020 | Kozuv Gevgelija(away) | 2-3 | Second League |
| Nov 28, 2020 | Plačkovica(home) | 0-1 | Second League |
What does the head-to-head say?
Across the last 2 meetings: 2 Osogovo wins, 0 draws, 0 Rosoman wins.
| Date | Score | Competition |
|---|---|---|
| Dec 12, 2020 | Rosoman 1-7 Osogovo | Second League |
| Oct 10, 2020 | Osogovo 5-4 Rosoman | Second League |
How many goals should we expect?
Osogovo score 1.5 and concede 1.3 goals per match over their last 15; Rosoman score 0.9 and concede 3.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Osogovo | 1.5 | 1.3 | 5 | 9/15 | 5/15 |
| Rosoman | 0.9 | 3.7 | 0 | 9/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Osogovo | 6 | 0 | 2 | 4 | 2 | 6 | 2 |
A question about Osogovo vs Rosoman?
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