Akademija Pandev vs Novaci: result 4-1 and analysis
Second LeagueMatchday 10Kick-off on October 31, 2026 at 12:30 PM (UTC)Stadion Blagoj Istatov, Strumica
Full time
What was the result of Akademija Pandev vs Novaci?
Akademija Pandev won 4-1 on October 31, 2026.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Akademija Pandev have 7 wins, 4 draws and 4 defeats; Novaci have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 24, 2026 | Osogovo(away) | 1-3 | Second League |
| Oct 18, 2026 | Belasica(home) | 0-0 | Second League |
| Oct 10, 2026 | Ohrid(away) | 2-2 | Second League |
| Sep 20, 2026 | Shkupi 1927(home) | 7-0 | Second League |
| Sep 6, 2026 | Makedonija GjP(home) | 1-0 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2026 | Skopje(away) | 0-1 | Cup |
| Oct 24, 2026 | Pelister(home) | 0-2 | Second League |
| Oct 17, 2026 | Gorno Lisiče(away) | 0-0 | Second League |
| Oct 10, 2026 | Teteks(home) | 1-4 | Second League |
| Sep 19, 2026 | Kozuv Gevgelija(away) | 1-0 | Second League |
How many goals should we expect?
Akademija Pandev score 2.2 and concede 0.8 goals per match over their last 15; Novaci score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Akademija Pandev | 2.2 | 0.8 | 8 | 5/15 | 8/15 |
| Novaci | 0.9 | 1.3 | 4 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Akademija Pandev sit 3rd in Second League (13 points from 5 matches) and Novaci sit 7th (7 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Akademija Pandev | 5 | 4 | 1 | 0 | 12 | 1 | 13 |
| 7 | Novaci | 6 | 2 | 1 | 3 | 5 | 5 | 7 |
A question about Akademija Pandev vs Novaci?
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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