Sasa vs Pehchevo: result 1-0 and analysis
Second LeagueEast - 15Kick-off on March 9, 2019 at 01:00 PM (UTC)Gradski stadion, Makedonska Kamenica
Full time
What was the result of Sasa vs Pehchevo?
Sasa won 1-0 on March 9, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sasa have 1 win, 4 draws and 10 defeats; Pehchevo have 7, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2018 | Vardar Negotino(away) | 1-3 | Second League |
| Nov 17, 2018 | Plačkovica(home) | 0-0 | Second League |
| Nov 8, 2018 | Kozuv Gevgelija(away) | 0-4 | Second League |
| Nov 3, 2018 | Borec(home) | 1-2 | Second League |
| Oct 30, 2018 | Partizan Obrshani(away) | 0-0 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2018 | Detonit Junior(home) | 4-0 | Second League |
| Nov 17, 2018 | Tikveš(away) | 0-1 | Second League |
| Nov 11, 2018 | Bregalnica Štip(away) | 2-2 | Second League |
| Nov 3, 2018 | Vardar Negotino(home) | 2-0 | Second League |
| Oct 30, 2018 | Plačkovica(away) | 0-0 | Second League |
What does the head-to-head say?
In the last meeting: 0 Sasa wins, 0 draws, 1 Pehchevo win.
| Date | Score | Competition |
|---|---|---|
| Sep 25, 2018 | Pehchevo 3-1 Sasa | Second League |
How many goals should we expect?
Sasa score 0.9 and concede 2.3 goals per match over their last 15; Pehchevo score 1.4 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sasa | 0.9 | 2.3 | 3 | 10/15 | 11/15 |
| Pehchevo | 1.4 | 0.6 | 8 | 5/14 | 4/14 |
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 Sasa vs Pehchevo?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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