Kozuv Gevgelija vs Pobeda: result 3-1 and analysis
Friendlies ClubsClub Friendlies 4Kick-off on July 29, 2020 at 04:00 PM (UTC)Stadion FK Kožuf, Gevgelija
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What was the result of Kozuv Gevgelija vs Pobeda?
Kozuv Gevgelija won 3-1 on July 29, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kozuv Gevgelija have 9 wins, 2 draws and 4 defeats; Pobeda 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 |
|---|---|---|---|
| Jul 25, 2020 | Akademija Pandev(away) | 0-0 | Friendlies Clubs |
| Mar 7, 2020 | Osogovo(home) | 1-0 | Second League |
| Feb 29, 2020 | Plačkovica(away) | 1-1 | Second League |
| Nov 30, 2019 | Sasa(away) | 1-3 | Second League |
| Nov 23, 2019 | Belasica(home) | 1-2 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 7, 2020 | Bregalnica Štip(home) | 0-2 | Second League |
| Feb 29, 2020 | Pitu Guli(away) | 2-2 | Second League |
| 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 |
What does the head-to-head say?
Across the last 2 meetings: 2 Kozuv Gevgelija wins, 0 draws, 0 Pobeda wins.
| Date | Score | Competition |
|---|---|---|
| Nov 10, 2019 | Pobeda 0-1 Kozuv Gevgelija | Second League |
| Sep 7, 2019 | Kozuv Gevgelija 2-1 Pobeda | Second League |
Last archived meeting: Pobeda vs Kozuv Gevgelija on Nov 10, 2019
How many goals should we expect?
Kozuv Gevgelija score 1.6 and concede 0.9 goals per match over their last 15; Pobeda score 1.0 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kozuv Gevgelija | 1.6 | 0.9 | 7 | 6/15 | 8/15 |
| Pobeda | 1.0 | 1.9 | 1 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Kozuv Gevgelija 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