Macva vs Timok Zaječar: result 1-0 and analysis
Prva LigaRelegation Round - 1Kick-off on April 16, 2022 at 02:00 PM (UTC)Stadion FK Mačva, Šabac
Full time
What was the result of Macva vs Timok Zaječar?
Macva won 1-0 on April 16, 2022.
Goalscorers
- 75′K. TojčićMacva
What is the recent form of both teams?
Over their last 15 matches in all competitions, Macva have 2 wins, 5 draws and 8 defeats; Timok Zaječar have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2022 | Mladost Novi Sad(home) | 0-0 | Prva Liga |
| Apr 4, 2022 | IMT Novi Beograd(away) | 1-6 | Prva Liga |
| Mar 27, 2022 | Timok Zaječar(home) | 0-0 | Prva Liga |
| Mar 23, 2022 | FK Zlatibor(away) | 1-1 | Prva Liga |
| Mar 18, 2022 | Backa(home) | 2-0 | Prva Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2022 | Backa(away) | 1-0 | Prva Liga |
| Apr 2, 2022 | Grafičar(home) | 1-0 | Prva Liga |
| Mar 27, 2022 | Macva(away) | 0-0 | Prva Liga |
| Mar 23, 2022 | Zarkovo(home) | 0-0 | Prva Liga |
| Mar 19, 2022 | Indjija(away) | 1-0 | Prva Liga |
What does the head-to-head say?
Across the last 2 meetings: 1 Macva win(s), 1 draw(s), 0 Timok Zaječar win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 27, 2022 | Macva 0-0 Timok Zaječar | Prva Liga |
| Oct 16, 2021 | Timok Zaječar 0-1 Macva | Prva Liga |
Last archived meeting: Macva vs Timok Zaječar on Mar 27, 2022
How many goals should we expect?
Macva score 0.5 and concede 1.5 goals per match over their last 15; Timok Zaječar score 0.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Macva | 0.5 | 1.5 | 5 | 5/15 | 4/15 |
| Timok Zaječar | 0.7 | 0.7 | 8 | 2/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Macva | 35 | 19 | 9 | 7 | 47 | 29 | 66 |
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