Tikveš vs Belasica: result 1-2 and analysis
Second LeagueEast - 9Kick-off on October 20, 2019 at 12:30 PM (UTC)Gradski Stadion, Kavadarci
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What was the result of Tikveš vs Belasica?
Belasica won 1-2 on October 20, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tikveš have 9 wins, 5 draws and 1 defeats; Belasica have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 11, 2019 | Pobeda(away) | 2-2 | Second League |
| Oct 6, 2019 | Pehchevo(home) | 1-0 | Second League |
| Sep 28, 2019 | Sasa(away) | 1-0 | Second League |
| Sep 19, 2019 | Bregalnica Štip(away) | 1-0 | Second League |
| Sep 15, 2019 | Pitu Guli(home) | 5-0 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2019 | Bregalnica Štip(home) | 0-0 | Second League |
| Oct 6, 2019 | Pitu Guli(away) | 8-0 | Second League |
| Sep 28, 2019 | Osogovo(home) | 3-0 | Second League |
| Sep 21, 2019 | Plačkovica(away) | 1-0 | Second League |
| Sep 15, 2019 | Kozuv Gevgelija(home) | 1-2 | Second League |
What does the head-to-head say?
Across the last 3 meetings: 0 Tikveš win(s), 0 draw(s), 3 Belasica win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 28, 2018 | Tikveš 0-5 Belasica | Second League |
| Oct 28, 2017 | Tikveš 0-4 Belasica | Second League |
| Sep 12, 2017 | Belasica 3-1 Tikveš | Second League |
How many goals should we expect?
Tikveš score 1.9 and concede 0.9 goals per match over their last 15; Belasica score 2.2 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tikveš | 1.9 | 0.9 | 8 | 7/15 | 7/15 |
| Belasica | 2.2 | 0.9 | 6 | 8/15 | 11/15 |
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