Kozuv Gevgelija vs Akademija Pandev: prediction and stats
Friendlies ClubsClub FriendliesKick-off on August 1, 2026 at 03:00 PM (UTC)Stadion FK Kožuf, Gevgelija
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kozuv Gevgelija have 8 wins, 1 draws and 6 defeats; Akademija Pandev have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 28, 2026 | Belasica(home) | 0-2 | Friendlies Clubs |
| Jul 25, 2026 | Novaci(home) | 1-0 | Friendlies Clubs |
| May 30, 2026 | Borec(home) | 4-0 | Second League |
| May 23, 2026 | Vardar Negotino(away) | 5-0 | Second League |
| May 16, 2026 | Teteks(home) | 1-4 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 31, 2026 | Skopje(home) | 0-1 | First League |
| May 24, 2026 | Shkupi 1927(home) | 6-0 | First League |
| May 15, 2026 | Shkendija(away) | 1-2 | First League |
| May 10, 2026 | FK Rabotnicki(home) | 2-2 | First League |
| May 3, 2026 | Struga(away) | 1-0 | First League |
What does the head-to-head say?
Across the last 3 meetings: 0 Kozuv Gevgelija win(s), 2 draw(s), 1 Akademija Pandev win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 20, 2023 | Kozuv Gevgelija 0-2 Akademija Pandev | Cup |
| Feb 20, 2021 | Kozuv Gevgelija 1-1 Akademija Pandev | Friendlies Clubs |
| Jul 25, 2020 | Akademija Pandev 0-0 Kozuv Gevgelija | Friendlies Clubs |
Last archived meeting: Kozuv Gevgelija vs Akademija Pandev on Sep 20, 2023
How many goals should we expect?
Kozuv Gevgelija score 2.2 and concede 1.0 goals per match over their last 15; Akademija Pandev score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kozuv Gevgelija | 2.2 | 1.0 | 7 | 4/15 | 8/15 |
| Akademija Pandev | 1.1 | 1.3 | 5 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy