Otrant-Olympic vs Mladost DG: result 1-2 and analysis
Second LeagueRegular Season - 4Kick-off on September 4, 2022 at 03:00 PM (UTC)Stadion Olympic, Ulcinj
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What was the result of Otrant-Olympic vs Mladost DG?
Mladost DG won 1-2 on September 4, 2022.
Goalscorers
- 3′Joseph MensahOtrant-Olympic
- 14′Ž. KrstovićMladost DG (pen.)
- 86′?Mladost DG
What is the recent form of both teams?
Over their last 15 matches in all competitions, Otrant-Olympic have 4 wins, 2 draws and 9 defeats; Mladost DG have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2022 | Bokelj(home) | 1-2 | Second League |
| Aug 21, 2022 | Kom(away) | 0-1 | Second League |
| Aug 17, 2022 | Mladost Lješkopolje(home) | 0-0 | Second League |
| Jul 4, 2020 | Mornar(home) | 4-3 | Second League |
| Jun 28, 2020 | Dečić(away) | 0-4 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2022 | Kom(home) | 3-0 | Second League |
| Aug 21, 2022 | Mladost Lješkopolje(away) | 2-2 | Second League |
| Aug 17, 2022 | Zeta(home) | 2-1 | Second League |
| May 24, 2022 | Berane(home) | 3-1 | Second League |
| May 20, 2022 | Bokelj(away) | 1-1 | Second League |
How many goals should we expect?
Otrant-Olympic score 1.3 and concede 1.9 goals per match over their last 15; Mladost DG score 1.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Otrant-Olympic | 1.3 | 1.9 | 3 | 8/15 | 8/15 |
| Mladost DG | 1.7 | 0.9 | 5 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Otrant-Olympic | 36 | 23 | 5 | 8 | 81 | 31 | 74 |
A question about Otrant-Olympic vs Mladost DG?
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