Sileks vs Tikveš: result 3-2 and analysis
First LeagueRegular Season - 6Kick-off on September 4, 2022 at 02:00 PM (UTC)Gradski stadion Kratovo, Kratovo
Full time
What was the result of Sileks vs Tikveš?
Sileks won 3-2 on September 4, 2022.
Goalscorers
- 38′V. PetrovićSileks
- 47′A. NgobaTikveš
- 67′D. MilovanovikjTikveš
- 76′A. LjamalariSileks
- 84′D. MasevskiSileks
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sileks have 7 wins, 5 draws and 3 defeats; Tikveš have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2022 | Struga(away) | 1-2 | First League |
| Aug 27, 2022 | Akademija Pandev(home) | 1-1 | First League |
| Aug 21, 2022 | Skopje(home) | 3-1 | First League |
| Aug 14, 2022 | Shkendija(away) | 1-1 | First League |
| Aug 7, 2022 | FK Rabotnicki(home) | 2-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2022 | Shkendija(home) | 1-3 | First League |
| Aug 28, 2022 | FK Rabotnicki(away) | 0-2 | First League |
| Aug 21, 2022 | Bregalnica Štip(home) | 1-1 | First League |
| Aug 14, 2022 | Pobeda(away) | 1-0 | First League |
| Jul 27, 2022 | FK Rabotnicki(home) | 2-0 | Friendlies Clubs |
How many goals should we expect?
Sileks score 1.5 and concede 0.7 goals per match over their last 15; Tikveš score 1.6 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sileks | 1.5 | 0.7 | 6 | 7/15 | 4/15 |
| Tikveš | 1.6 | 1.1 | 3 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Sileks sit 2nd in First League (7 points from 3 matches) and Tikveš sit 3rd (7 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Sileks | 3 | 2 | 1 | 0 | 10 | 1 | 7 |
| 3 | Tikveš | 4 | 2 | 1 | 1 | 11 | 3 | 7 |
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