FK Trayal vs FK Becej: result 1-1 and analysis
Prva LigaRegular Season - 24Kick-off on March 3, 2019 at 01:00 PM (UTC)Stadion Mladost, Kruševac
Full time
What was the result of FK Trayal vs FK Becej?
FK Trayal and FK Becej drew 1-1 on March 3, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, FK Trayal have 7 wins, 0 draws and 8 defeats; FK Becej have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 27, 2019 | TSC Backa Topola(away) | 0-2 | Prva Liga |
| Dec 9, 2018 | Zarkovo(home) | 1-0 | Prva Liga |
| Dec 5, 2018 | Metalac GM(away) | 1-3 | Prva Liga |
| Dec 2, 2018 | Javor(home) | 1-3 | Prva Liga |
| Nov 25, 2018 | FK Zlatibor(away) | 0-2 | Prva Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 27, 2019 | Indjija(home) | 1-0 | Prva Liga |
| Dec 10, 2018 | TSC Backa Topola(home) | 0-0 | Prva Liga |
| Dec 5, 2018 | Zarkovo(away) | 1-2 | Prva Liga |
| Dec 1, 2018 | Metalac GM(home) | 1-1 | Prva Liga |
| Nov 24, 2018 | Javor(away) | 2-1 | Prva Liga |
What does the head-to-head say?
In the last meeting: 0 FK Trayal wins, 0 draws, 1 FK Becej win.
| Date | Score | Competition |
|---|---|---|
| Sep 29, 2018 | FK Becej 1-0 FK Trayal | Prva Liga |
Last archived meeting: FK Becej vs FK Trayal on Sep 29, 2018
How many goals should we expect?
FK Trayal score 0.9 and concede 1.3 goals per match over their last 15; FK Becej score 1.4 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FK Trayal | 0.9 | 1.3 | 4 | 7/15 | 7/15 |
| FK Becej | 1.4 | 1.0 | 6 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | FK Trayal | 39 | 9 | 8 | 22 | 40 | 56 | 35 |
A question about FK Trayal vs FK Becej?
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