Tikveš vs Sasa: result 1-0 and analysis
Second LeagueEast - 17Kick-off on March 18, 2018 at 01:00 PM (UTC)Gradski Stadion, Kavadarci
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What was the result of Tikveš vs Sasa?
Tikveš won 1-0 on March 18, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tikveš have 8 wins, 1 draw and 6 defeats; Sasa have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2018 | Kozuv Gevgelija(home) | 2-1 | Second League |
| Mar 6, 2018 | Bregalnica Štip(away) | 0-1 | Second League |
| Nov 25, 2017 | Borec(home) | 2-0 | Second League |
| Nov 18, 2017 | Pobeda Valandovo(away) | 3-1 | Second League |
| Nov 4, 2017 | Osogovo(away) | 4-0 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 6, 2018 | Kozuv Gevgelija(away) | 1-1 | Second League |
| Nov 25, 2017 | Osogovo(home) | 2-0 | Second League |
| Nov 18, 2017 | Bregalnica Štip(away) | 0-2 | Second League |
| Nov 11, 2017 | Belasica(home) | 0-5 | Second League |
| Nov 4, 2017 | Borec(away) | 0-3 | Second League |
What does the head-to-head say?
In the last meeting: 0 Tikveš wins, 0 draws, 1 Sasa win.
| Date | Score | Competition |
|---|---|---|
| Oct 14, 2017 | Sasa 2-0 Tikveš | Second League |
How many goals should we expect?
Tikveš score 1.6 and concede 1.3 goals per match over their last 15; Sasa score 1.1 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tikveš | 1.6 | 1.3 | 4 | 7/15 | 8/15 |
| Sasa | 1.1 | 1.8 | 3 | 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 |
A question about Tikveš vs Sasa?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy