Pehchevo vs Sasa: result 4-0 and analysis
Second LeagueEast - 19Kick-off on April 2, 2019 at 01:30 PM (UTC)Gradski stadion, Pehchevo
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What was the result of Pehchevo vs Sasa?
Pehchevo won 4-0 on April 2, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pehchevo have 6 wins, 6 draws and 3 defeats; Sasa have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2019 | Kozuv Gevgelija(home) | 0-0 | Second League |
| Mar 23, 2019 | Borec(away) | 1-2 | Second League |
| Mar 17, 2019 | Partizan Obrshani(home) | 6-1 | Second League |
| Mar 9, 2019 | Sasa(away) | 0-1 | Second League |
| Nov 24, 2018 | Detonit Junior(home) | 4-0 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2019 | Bregalnica Štip(away) | 1-2 | Second League |
| Mar 23, 2019 | Detonit Junior(home) | 0-2 | Second League |
| Mar 17, 2019 | Tikveš(away) | 0-3 | Second League |
| Mar 9, 2019 | Pehchevo(home) | 1-0 | Second League |
| Nov 24, 2018 | Vardar Negotino(away) | 1-3 | Second League |
What does the head-to-head say?
Across the last 2 meetings: 1 Pehchevo win, 0 draws, 1 Sasa win.
| Date | Score | Competition |
|---|---|---|
| Mar 9, 2019 | Sasa 1-0 Pehchevo | Second League |
| Sep 25, 2018 | Pehchevo 3-1 Sasa | Second League |
How many goals should we expect?
Pehchevo score 1.5 and concede 0.7 goals per match over their last 15; Sasa score 0.7 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pehchevo | 1.5 | 0.7 | 7 | 6/15 | 5/15 |
| Sasa | 0.7 | 2.1 | 4 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Sasa | 30 | 9 | 9 | 12 | 47 | 53 | 36 |
A question about Pehchevo 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