Jagodina vs Bezanija: result 1-1 and analysis
Prva LigaRegular Season - 26Kick-off on May 7, 2017 at 03:00 PM (UTC)Gradski Stadion, Jagodina
Full time
What was the result of Jagodina vs Bezanija?
Jagodina and Bezanija drew 1-1 on May 7, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jagodina have 6 wins, 1 draw and 8 defeats; Bezanija have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Apr 8, 2017 | Sindjelic Beograd(home) | 1-0 | Prva Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 3, 2017 | Buducnost Dobanovci(home) | 1-0 | Prva Liga |
| Apr 29, 2017 | OFK Beograd(away) | 1-0 | Prva Liga |
| Apr 21, 2017 | Sindjelic Beograd(home) | 1-1 | Prva Liga |
| Apr 15, 2017 | CSK Pivara(away) | 2-1 | Prva Liga |
| Apr 9, 2017 | BSK Borca(home) | 1-1 | Prva Liga |
What does the head-to-head say?
In the last meeting: 0 Jagodina wins, 0 draws, 1 Bezanija win.
| Date | Score | Competition |
|---|---|---|
| Oct 22, 2016 | Bezanija 1-0 Jagodina | Prva Liga |
How many goals should we expect?
Jagodina score 1.1 and concede 1.3 goals per match over their last 15; Bezanija score 1.1 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jagodina | 1.1 | 1.3 | 4 | 7/15 | 7/15 |
| Bezanija | 1.1 | 0.8 | 6 | 7/15 | 4/15 |
Over the last 15 matches in all competitions.
A question about Jagodina vs Bezanija?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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