FK Trayal vs Bezanija: result 1-2 and analysis
Prva LigaRegular Season - 16Kick-off on November 12, 2018 at 05:00 PM (UTC)Stadion Mladost, Kruševac
Full time
What was the result of FK Trayal vs Bezanija?
Bezanija won 1-2 on November 12, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, FK Trayal have 5 wins, 3 draws and 7 defeats; Bezanija 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 |
|---|---|---|---|
| Nov 4, 2018 | Novi Pazar(home) | 1-0 | Prva Liga |
| Oct 31, 2018 | Radnicki 1923(away) | 1-3 | Prva Liga |
| Oct 27, 2018 | Borac Cacak(home) | 2-1 | Prva Liga |
| Oct 22, 2018 | Sloboda Uzice(away) | 1-0 | Prva Liga |
| Oct 15, 2018 | Teleoptik(home) | 0-1 | Prva Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2018 | FK Becej(away) | 2-1 | Prva Liga |
| Oct 31, 2018 | TSC Backa Topola(home) | 0-1 | Prva Liga |
| Oct 27, 2018 | Zarkovo(away) | 0-2 | Prva Liga |
| Oct 21, 2018 | Metalac GM(home) | 1-1 | Prva Liga |
| Oct 12, 2018 | Javor(away) | 1-4 | Prva Liga |
What does the head-to-head say?
In the last meeting: 0 FK Trayal wins, 0 draws, 1 Bezanija win.
| Date | Score | Competition |
|---|---|---|
| Aug 12, 2018 | Bezanija 2-0 FK Trayal | Prva Liga |
Last archived meeting: Bezanija vs FK Trayal on Aug 12, 2018
How many goals should we expect?
FK Trayal score 0.7 and concede 1.0 goals per match over their last 15; Bezanija score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FK Trayal | 0.7 | 1.0 | 4 | 5/15 | 3/15 |
| Bezanija | 1.3 | 1.3 | 4 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 9 | FK Trayal | 39 | 9 | 8 | 22 | 40 | 56 | 35 |
A question about FK Trayal vs Bezanija?
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