Zarkovo vs Teleoptik: result 1-0 and analysis
Prva LigaRelegation Round - 1Kick-off on April 6, 2019 at 02:00 PM (UTC)Stadion Žarkovo, Beograd
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What was the result of Zarkovo vs Teleoptik?
Zarkovo won 1-0 on April 6, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Zarkovo have 6 wins, 4 draws and 5 defeats; Teleoptik have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 31, 2019 | Sindjelic Beograd(away) | 3-1 | Prva Liga |
| Mar 27, 2019 | Buducnost Dobanovci(home) | 0-0 | Prva Liga |
| Mar 23, 2019 | Bezanija(away) | 2-3 | Prva Liga |
| Mar 16, 2019 | Novi Pazar(home) | 2-0 | Prva Liga |
| Mar 10, 2019 | Radnicki 1923(away) | 1-1 | Prva Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 31, 2019 | Radnicki 1923(away) | 2-2 | Prva Liga |
| Mar 27, 2019 | Borac Cacak(home) | 3-1 | Prva Liga |
| Mar 23, 2019 | Sloboda Uzice(away) | 3-3 | Prva Liga |
| Mar 17, 2019 | Indjija(home) | 1-4 | Prva Liga |
| Mar 11, 2019 | FK Trayal(home) | 1-1 | Prva Liga |
What does the head-to-head say?
Across the last 2 meetings: 1 Zarkovo win, 0 draws, 1 Teleoptik win.
| Date | Score | Competition |
|---|---|---|
| Feb 27, 2019 | Zarkovo 2-1 Teleoptik | Prva Liga |
| Sep 22, 2018 | Teleoptik 2-1 Zarkovo | Prva Liga |
How many goals should we expect?
Zarkovo score 1.3 and concede 1.5 goals per match over their last 15; Teleoptik score 1.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zarkovo | 1.3 | 1.5 | 4 | 9/15 | 8/15 |
| Teleoptik | 1.0 | 1.7 | 2 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 13 | Teleoptik | 14 | 3 | 4 | 7 | 17 | 24 | 13 |
A question about Zarkovo vs Teleoptik?
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