Jagodina vs Sindjelic Beograd: result 1-0 and analysis
Prva LigaRegular Season - 21Kick-off on April 8, 2017 at 01:30 PM (UTC)Gradski Stadion, Jagodina
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What was the result of Jagodina vs Sindjelic Beograd?
Jagodina won 1-0 on April 8, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jagodina have 5 wins, 2 draws and 8 defeats; Sindjelic Beograd have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2017 | CSK Pivara(away) | 1-1 | Prva Liga |
| Mar 25, 2017 | BSK Borca(home) | 2-0 | Prva Liga |
| Mar 18, 2017 | Odzaci(away) | 0-2 | Prva Liga |
| Mar 11, 2017 | Kolubara(home) | 3-0 | Prva Liga |
| Mar 5, 2017 | Radnicki Pirot(away) | 1-0 | Prva Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 31, 2017 | Buducnost Dobanovci(home) | 1-0 | Prva Liga |
| Mar 25, 2017 | OFK Beograd(away) | 0-1 | Prva Liga |
| Mar 18, 2017 | Indjija(away) | 1-1 | Prva Liga |
| Mar 11, 2017 | CSK Pivara(home) | 3-1 | Prva Liga |
| Mar 4, 2017 | BSK Borca(away) | 1-1 | Prva Liga |
What does the head-to-head say?
In the last meeting: 0 Jagodina wins, 0 draws, 1 Sindjelic Beograd win.
| Date | Score | Competition |
|---|---|---|
| Sep 17, 2016 | Sindjelic Beograd 1-0 Jagodina | Prva Liga |
Last archived meeting: Sindjelic Beograd vs Jagodina on Sep 17, 2016
How many goals should we expect?
Jagodina score 1.2 and concede 1.4 goals per match over their last 15; Sindjelic Beograd score 0.8 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jagodina | 1.2 | 1.4 | 4 | 6/15 | 6/15 |
| Sindjelic Beograd | 0.8 | 1.1 | 4 | 7/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Jagodina vs Sindjelic Beograd?
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