Tikveš vs Belasica: result 0-5 and analysis
Second LeagueEast - 24Kick-off on April 28, 2018 at 02:00 PM (UTC)Gradski Stadion, Kavadarci
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What was the result of Tikveš vs Belasica?
Belasica won 0-5 on April 28, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tikveš have 7 wins, 3 draws and 5 defeats; Belasica have 10, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 24, 2018 | Bregalnica Štip(away) | 0-5 | Second League |
| Apr 21, 2018 | Borec(home) | 1-3 | Second League |
| Apr 17, 2018 | Kozuv Gevgelija(away) | 1-1 | Second League |
| Apr 14, 2018 | Plačkovica(home) | 2-1 | Second League |
| Mar 31, 2018 | Plačkovica(away) | 3-3 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2018 | Pobeda Valandovo(away) | 12-0 | Second League |
| Apr 17, 2018 | Osogovo(home) | 5-0 | Second League |
| Apr 14, 2018 | Sasa(away) | 3-0 | Second League |
| Apr 7, 2018 | Plačkovica(home) | 3-0 | Second League |
| Mar 31, 2018 | Kozuv Gevgelija(home) | 3-0 | Second League |
What does the head-to-head say?
Across the last 2 meetings: 0 Tikveš win(s), 0 draw(s), 2 Belasica win(s).
| Date | Score | Competition |
|---|---|---|
| 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 1.4 and concede 1.5 goals per match over their last 15; Belasica score 3.5 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tikveš | 1.4 | 1.5 | 4 | 7/15 | 8/15 |
| Belasica | 3.5 | 0.3 | 12 | 3/15 | 10/15 |
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