Belasica vs Pitu Guli: result 2-0 and analysis
Second LeagueEast - 16Kick-off on March 7, 2020 at 01:00 PM (UTC)Stadion Blagoj Istatov, Strumica
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What was the result of Belasica vs Pitu Guli?
Belasica won 2-0 on March 7, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Belasica have 12 wins, 1 draw and 2 defeats; Pitu Guli have 1, 1 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 29, 2020 | Osogovo(away) | 2-0 | Second League |
| Nov 30, 2019 | Plačkovica(home) | 4-2 | Second League |
| Nov 23, 2019 | Kozuv Gevgelija(away) | 2-1 | Second League |
| Nov 10, 2019 | Sasa(away) | 3-0 | Second League |
| Nov 3, 2019 | Pobeda(home) | 1-0 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 29, 2020 | Pobeda(home) | 2-2 | Second League |
| Nov 30, 2019 | Pehchevo(away) | 1-3 | Second League |
| Nov 23, 2019 | Tikveš(home) | 0-1 | Second League |
| Nov 10, 2019 | Bregalnica Štip(away) | 0-5 | Second League |
| Nov 2, 2019 | Sasa(home) | 0-2 | Second League |
What does the head-to-head say?
In the last meeting: 1 Belasica win, 0 draws, 0 Pitu Guli wins.
| Date | Score | Competition |
|---|---|---|
| Oct 6, 2019 | Pitu Guli 0-8 Belasica | Second League |
How many goals should we expect?
Belasica score 2.3 and concede 0.6 goals per match over their last 15; Pitu Guli score 0.7 and concede 3.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Belasica | 2.3 | 0.6 | 9 | 5/15 | 10/15 |
| Pitu Guli | 0.7 | 3.4 | 0 | 8/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Belasica | 6 | 2 | 4 | 0 | 7 | 5 | 10 |
A question about Belasica vs Pitu Guli?
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