Macva vs Jagodina: result 1-0 and analysis
Prva LigaRegular Season - 27Kick-off on May 13, 2017 at 03:00 PM (UTC)Stadion FK Mačva, Šabac
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What was the result of Macva vs Jagodina?
Macva won 1-0 on May 13, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Macva have 8 wins, 5 draws and 2 defeats; Jagodina have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2017 | Buducnost Dobanovci(away) | 3-1 | Prva Liga |
| May 3, 2017 | OFK Beograd(home) | 3-0 | Prva Liga |
| Apr 28, 2017 | Sindjelic Beograd(away) | 2-2 | Prva Liga |
| Apr 22, 2017 | CSK Pivara(home) | 2-2 | Prva Liga |
| Apr 15, 2017 | BSK Borca(away) | 3-1 | Prva Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2017 | Bezanija(home) | 1-1 | Prva Liga |
| May 3, 2017 | Dinamo Vranje(away) | 1-2 | Prva Liga |
| Apr 29, 2017 | Indjija(away) | 0-2 | Prva Liga |
| Apr 21, 2017 | Buducnost Dobanovci(home) | 2-1 | Prva Liga |
| Apr 15, 2017 | OFK Beograd(away) | 3-1 | Prva Liga |
What does the head-to-head say?
In the last meeting: 1 Macva win, 0 draws, 0 Jagodina wins.
| Date | Score | Competition |
|---|---|---|
| Oct 30, 2016 | Jagodina 0-2 Macva | Prva Liga |
How many goals should we expect?
Macva score 1.7 and concede 1.0 goals per match over their last 15; Jagodina score 1.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Macva | 1.7 | 1.0 | 4 | 10/15 | 9/15 |
| Jagodina | 1.2 | 1.3 | 4 | 8/15 | 7/15 |
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 |
A question about Macva vs Jagodina?
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