Pobeda vs Rosoman: result 3-1 and analysis
Second LeagueEast - 25Kick-off on May 1, 2021 at 11:00 AM (UTC)Stadion Goce Delčev, Prilep
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What was the result of Pobeda vs Rosoman?
Pobeda won 3-1 on May 1, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pobeda have 2 wins, 6 draws and 7 defeats; Rosoman have 0, 2 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 24, 2021 | Plačkovica(away) | 3-1 | Second League |
| Apr 17, 2021 | Sasa(away) | 1-2 | Second League |
| Apr 10, 2021 | Sloga Vinica(home) | 0-0 | Second League |
| Apr 3, 2021 | Bregalnica Štip(away) | 1-3 | Second League |
| Mar 27, 2021 | Tikveš(home) | 0-1 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 24, 2021 | Sloga Vinica(home) | 1-2 | Second League |
| Apr 17, 2021 | Bregalnica Štip(away) | 1-5 | Second League |
| Apr 10, 2021 | Tikveš(home) | 1-1 | Second League |
| Apr 3, 2021 | Pehchevo(away) | 1-2 | Second League |
| Mar 21, 2021 | Kozuv Gevgelija(home) | 1-4 | Second League |
What does the head-to-head say?
Across the last 2 meetings: 2 Pobeda wins, 0 draws, 0 Rosoman wins.
| Date | Score | Competition |
|---|---|---|
| Nov 14, 2020 | Rosoman 1-2 Pobeda | Second League |
| Aug 30, 2020 | Pobeda 3-0 Rosoman | Second League |
How many goals should we expect?
Pobeda score 0.9 and concede 1.4 goals per match over their last 15; Rosoman score 0.8 and concede 3.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pobeda | 0.9 | 1.4 | 3 | 9/15 | 8/15 |
| Rosoman | 0.8 | 3.2 | 0 | 11/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Pobeda | 30 | 3 | 2 | 25 | 19 | 117 | 11 |
A question about Pobeda 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