Belasica vs Karaorman: result 2-1 and analysis
Second LeagueRegular Season - 12Kick-off on November 12, 2023 at 12:00 PM (UTC)Stadion Blagoj Istatov, Strumica
Full time
What was the result of Belasica vs Karaorman?
Belasica won 2-1 on November 12, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Belasica have 5 wins, 3 draws and 7 defeats; Karaorman have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2023 | Kozuv Gevgelija(away) | 1-1 | Second League |
| Oct 28, 2023 | Detonit Plachkovica(home) | 0-0 | Second League |
| Oct 21, 2023 | Sasa(away) | 4-2 | Second League |
| Oct 8, 2023 | Novaci(home) | 3-1 | Second League |
| Sep 30, 2023 | Ohrid(home) | 0-1 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2023 | Osogovo(home) | 2-0 | Second League |
| Oct 28, 2023 | Pobeda(away) | 2-1 | Second League |
| Oct 21, 2023 | Bashkimi Kumanovo(home) | 1-2 | Second League |
| Oct 8, 2023 | Teteks(away) | 1-1 | Second League |
| Sep 30, 2023 | Besa Dobërdoll(home) | 0-2 | Second League |
What does the head-to-head say?
Across the last 2 meetings: 1 Belasica win(s), 0 draw(s), 1 Karaorman win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 4, 2023 | Belasica 1-0 Karaorman | Second League |
| Sep 3, 2022 | Karaorman 3-1 Belasica | Second League |
How many goals should we expect?
Belasica score 1.3 and concede 1.4 goals per match over their last 15; Karaorman score 0.7 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Belasica | 1.3 | 1.4 | 4 | 6/15 | 7/15 |
| Karaorman | 0.7 | 2.0 | 2 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Belasica | 2 | 2 | 0 | 0 | 2 | 0 | 6 |
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