Tikveš vs Sasa: result 3-0 and analysis
Second LeagueEast - 16Kick-off on March 17, 2019 at 01:30 PM (UTC)Gradski Stadion, Kavadarci
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What was the result of Tikveš vs Sasa?
Tikveš won 3-0 on March 17, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tikveš have 8 wins, 6 draws and 1 defeats; Sasa have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 9, 2019 | Detonit Junior(away) | 1-1 | Second League |
| Dec 1, 2018 | Borec(away) | 0-1 | Second League |
| Nov 24, 2018 | Bregalnica Štip(away) | 1-1 | Second League |
| Nov 17, 2018 | Pehchevo(home) | 1-0 | Second League |
| Nov 11, 2018 | Vardar Negotino(away) | 0-0 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 9, 2019 | Pehchevo(home) | 1-0 | Second League |
| Nov 24, 2018 | Vardar Negotino(away) | 1-3 | Second League |
| Nov 17, 2018 | Plačkovica(home) | 0-0 | Second League |
| Nov 8, 2018 | Kozuv Gevgelija(away) | 0-4 | Second League |
| Nov 3, 2018 | Borec(home) | 1-2 | Second League |
What does the head-to-head say?
Across the last 4 meetings: 2 Tikveš win(s), 0 draw(s), 2 Sasa win(s).
| Date | Score | Competition |
|---|---|---|
| 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?
Tikveš score 1.5 and concede 0.7 goals per match over their last 15; Sasa score 0.9 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tikveš | 1.5 | 0.7 | 6 | 8/15 | 4/15 |
| Sasa | 0.9 | 2.1 | 4 | 9/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 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