Pitu Guli vs Pobeda: result 2-2 and analysis
Second LeagueEast - 15Kick-off on February 29, 2020 at 01:00 PM (UTC)Stadion Mogila, Prilep
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What was the result of Pitu Guli vs Pobeda?
Pitu Guli and Pobeda drew 2-2 on February 29, 2020.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Pitu Guli have 1 win, 0 draws and 13 defeats; Pobeda have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 26, 2019 | Osogovo(home) | 1-3 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 30, 2019 | Osogovo(home) | 5-1 | Second League |
| Nov 23, 2019 | Plačkovica(away) | 0-0 | Second League |
| Nov 10, 2019 | Kozuv Gevgelija(home) | 0-1 | Second League |
| Nov 3, 2019 | Belasica(away) | 0-1 | Second League |
| Oct 26, 2019 | Sasa(away) | 0-2 | Second League |
What does the head-to-head say?
In the last meeting: 0 Pitu Guli wins, 0 draws, 1 Pobeda win.
| Date | Score | Competition |
|---|---|---|
| Sep 28, 2019 | Pobeda 2-1 Pitu Guli | Second League |
How many goals should we expect?
Pitu Guli score 0.6 and concede 3.5 goals per match over their last 14; Pobeda score 1.1 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pitu Guli | 0.6 | 3.5 | 0 | 7/14 | 11/14 |
| Pobeda | 1.1 | 1.9 | 1 | 8/15 | 10/15 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Pobeda | 30 | 3 | 2 | 25 | 19 | 117 | 11 |
A question about Pitu Guli vs Pobeda?
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