Pitu Guli vs Sasa: result 0-2 and analysis
Second LeagueEast - 11Kick-off on November 2, 2019 at 12:30 PM (UTC)Stadion Mogila, Prilep
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What was the result of Pitu Guli vs Sasa?
Sasa won 0-2 on November 2, 2019.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Pitu Guli have 1 win, 0 draws and 9 defeats; Sasa have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2019 | Osogovo(home) | 1-3 | Second League |
| Oct 20, 2019 | Plačkovica(home) | 0-1 | Second League |
| Oct 12, 2019 | Kozuv Gevgelija(away) | 1-6 | Second League |
| Oct 6, 2019 | Belasica(home) | 0-8 | Second League |
| Sep 28, 2019 | Pobeda(away) | 1-2 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2019 | Pobeda(home) | 2-0 | Second League |
| Oct 20, 2019 | Osogovo(away) | 5-2 | Second League |
| Oct 12, 2019 | Pehchevo(home) | 0-3 | Second League |
| Oct 6, 2019 | Plačkovica(away) | 2-0 | Second League |
| Sep 28, 2019 | Tikveš(home) | 0-1 | Second League |
What does the head-to-head say?
In the last meeting: 0 Pitu Guli wins, 0 draws, 1 Sasa win.
| Date | Score | Competition |
|---|---|---|
| Sep 1, 2019 | Sasa 4-1 Pitu Guli | Second League |
How many goals should we expect?
Pitu Guli score 0.8 and concede 3.8 goals per match over their last 10; Sasa score 1.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pitu Guli | 0.8 | 3.8 | 0 | 6/10 | 9/10 |
| Sasa | 1.7 | 1.5 | 4 | 7/15 | 10/15 |
Over the last 10 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 Pitu Guli 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