Macva vs Tekstilac Odžaci: result 0-0 and analysis
Prva LigaRegular Season - 1Kick-off on August 6, 2023 at 06:00 PM (UTC)Stadion FK Mačva, Šabac
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What was the result of Macva vs Tekstilac Odžaci?
Macva and Tekstilac Odžaci drew 0-0 on August 6, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Macva have 6 wins, 6 draws and 3 defeats; Tekstilac Odžaci have 13, 2 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 27, 2023 | Sloboda Uzice(away) | 0-1 | Prva Liga |
| May 20, 2023 | FK Trayal(home) | 2-1 | Prva Liga |
| May 13, 2023 | Metalac GM(home) | 1-1 | Prva Liga |
| May 6, 2023 | OFK Vršac(away) | 2-2 | Prva Liga |
| Apr 30, 2023 | Loznica(home) | 2-1 | Prva Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 10, 2023 | Dinamo Pančevo(away) | 2-1 | Srpska Liga - Vojvodina |
| Jun 3, 2023 | Backa(home) | 1-1 | Srpska Liga - Vojvodina |
| May 27, 2023 | Jedinstvo Stara Pazova(away) | 2-0 | Srpska Liga - Vojvodina |
| May 20, 2023 | Omladinac NB(home) | 1-1 | Srpska Liga - Vojvodina |
| May 14, 2023 | Stanišić(away) | 5-1 | Srpska Liga - Vojvodina |
How many goals should we expect?
Macva score 1.1 and concede 0.9 goals per match over their last 15; Tekstilac Odžaci score 2.7 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Macva | 1.1 | 0.9 | 4 | 8/15 | 5/15 |
| Tekstilac Odžaci | 2.7 | 0.5 | 7 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Macva sit 2nd in Prva Liga (66 points from 35 matches) and Tekstilac Odžaci sit 5th (49 points from 39 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Macva | 35 | 19 | 9 | 7 | 47 | 29 | 66 |
| 5 | Tekstilac Odžaci | 39 | 12 | 13 | 14 | 47 | 52 | 49 |
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