Osogovo vs Sasa: result 1-0 and analysis
Second LeagueEast - 22Kick-off on April 21, 2018 at 02:00 PM (UTC)Stadion Nikola Mantov, Kočani
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What was the result of Osogovo vs Sasa?
Osogovo won 1-0 on April 21, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Osogovo have 1 win, 3 draws and 11 defeats; Sasa have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2018 | Belasica(away) | 0-5 | Second League |
| Apr 14, 2018 | Bregalnica Štip(home) | 0-0 | Second League |
| Apr 7, 2018 | Borec(away) | 0-1 | Second League |
| Mar 31, 2018 | Bregalnica Štip(home) | 2-2 | Second League |
| Mar 18, 2018 | Borec(away) | 1-2 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2018 | Plačkovica(away) | 2-2 | Second League |
| Apr 14, 2018 | Belasica(home) | 0-3 | Second League |
| Apr 7, 2018 | Bregalnica Štip(away) | 0-2 | Second League |
| Mar 31, 2018 | Pobeda Valandovo(home) | 7-1 | Second League |
| Mar 18, 2018 | Tikveš(away) | 0-1 | Second League |
What does the head-to-head say?
Across the last 2 meetings: 0 Osogovo wins, 1 draw, 1 Sasa win.
| Date | Score | Competition |
|---|---|---|
| Nov 25, 2017 | Sasa 2-0 Osogovo | Second League |
| Sep 26, 2017 | Osogovo 2-2 Sasa | Second League |
How many goals should we expect?
Osogovo score 0.7 and concede 2.2 goals per match over their last 15; Sasa score 1.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Osogovo | 0.7 | 2.2 | 3 | 5/15 | 10/15 |
| Sasa | 1.5 | 1.7 | 3 | 6/15 | 8/15 |
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 Sasa?
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