Sasa vs Tikveš: result 0-1 and analysis
Second LeagueEast - 6Kick-off on September 28, 2019 at 01:00 PM (UTC)Gradski stadion, Makedonska Kamenica
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What was the result of Sasa vs Tikveš?
Tikveš won 0-1 on September 28, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sasa have 4 wins, 2 draws and 9 defeats; Tikveš 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 |
|---|---|---|---|
| Sep 21, 2019 | Kozuv Gevgelija(away) | 0-1 | Second League |
| Sep 15, 2019 | Bregalnica Štip(home) | 2-2 | Second League |
| Sep 7, 2019 | Belasica(away) | 1-2 | Second League |
| Sep 1, 2019 | Pitu Guli(home) | 4-1 | Second League |
| Aug 24, 2019 | Pobeda(away) | 1-2 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2019 | Bregalnica Štip(away) | 1-0 | Second League |
| Sep 15, 2019 | Pitu Guli(home) | 5-0 | Second League |
| Sep 7, 2019 | Osogovo(away) | 1-0 | Second League |
| Sep 1, 2019 | Plačkovica(home) | 3-1 | Second League |
| Aug 24, 2019 | Kozuv Gevgelija(away) | 1-1 | Second League |
What does the head-to-head say?
Across the last 6 meetings: 2 Sasa win(s), 1 draw(s), 3 Tikveš win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 20, 2019 | Sasa 1-1 Tikveš | Second League |
| Mar 17, 2019 | Tikveš 3-0 Sasa | Second League |
| Sep 29, 2018 | Sasa 1-3 Tikveš | Second League |
| May 5, 2018 | Sasa 1-0 Tikveš | Second League |
| Mar 18, 2018 | Tikveš 1-0 Sasa | Second League |
| Oct 14, 2017 | Sasa 2-0 Tikveš | Second League |
How many goals should we expect?
Sasa score 1.3 and concede 1.8 goals per match over their last 15; Tikveš score 2.2 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sasa | 1.3 | 1.8 | 2 | 9/15 | 11/15 |
| Tikveš | 2.2 | 0.7 | 9 | 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 |
|---|---|---|---|---|---|---|---|---|
| 11 | Sasa | 30 | 9 | 9 | 12 | 47 | 53 | 36 |
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