Rosoman vs Pobeda: result 1-2 and analysis
Second LeagueEast - 11Kick-off on November 14, 2020 at 12:00 PM (UTC)Igralište AMS vo Rosoman, Rosoman
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What was the result of Rosoman vs Pobeda?
Pobeda won 1-2 on November 14, 2020.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Rosoman have 2 wins, 2 draws and 7 defeats; Pobeda have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 8, 2020 | Sloga Vinica(away) | 1-1 | Second League |
| Oct 24, 2020 | Bregalnica Štip(away) | 1-6 | Second League |
| Oct 17, 2020 | Tikveš(home) | 0-4 | Second League |
| Oct 10, 2020 | Osogovo(away) | 4-5 | Second League |
| Oct 4, 2020 | Kozuv Gevgelija(home) | 1-2 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 8, 2020 | Pehchevo(away) | 0-1 | Second League |
| Oct 24, 2020 | Sloga Vinica(away) | 0-2 | Second League |
| Oct 17, 2020 | Bregalnica Štip(home) | 1-2 | Second League |
| Oct 10, 2020 | Tikveš(away) | 0-3 | Second League |
| Oct 4, 2020 | Osogovo(home) | 1-1 | Second League |
What does the head-to-head say?
In the last meeting: 0 Rosoman wins, 0 draws, 1 Pobeda win.
| Date | Score | Competition |
|---|---|---|
| Aug 30, 2020 | Pobeda 3-0 Rosoman | Second League |
How many goals should we expect?
Rosoman score 1.4 and concede 3.1 goals per match over their last 11; Pobeda score 1.2 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rosoman | 1.4 | 3.1 | 0 | 8/11 | 10/11 |
| Pobeda | 1.2 | 1.4 | 3 | 7/15 | 8/15 |
Over the last 11 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 Rosoman vs Pobeda?
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