Denmark U17 vs Serbia U17: result 1-2 and analysis
UEFA U17 ChampionshipQuarter-finalsKick-off on May 26, 2022 at 02:30 PM (UTC)
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What was the result of Denmark U17 vs Serbia U17?
Serbia U17 won 1-2 on May 26, 2022.
Goalscorers
- 3′J. ŠimićSerbia U17
- 48′E. HøjlundDenmark U17
- 64′J. MiloševićSerbia U17
What is the recent form of both teams?
Over their last 9 matches in all competitions, Denmark U17 have 6 wins, 2 draws and 1 defeats; Serbia U17 have 5, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 23, 2022 | Portugal U17(away) | 3-1 | UEFA U17 Championship |
| May 20, 2022 | Scotland U17(home) | 3-1 | UEFA U17 Championship |
| May 17, 2022 | Sweden U17(home) | 1-2 | UEFA U17 Championship |
| Mar 29, 2022 | Switzerland U17(home) | 5-0 | UEFA U17 Championship - Qualification |
| Mar 26, 2022 | Latvia U17(home) | 3-2 | UEFA U17 Championship - Qualification |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 23, 2022 | Spain U17(away) | 1-1 | UEFA U17 Championship |
| May 20, 2022 | Turkey U17(home) | 2-1 | UEFA U17 Championship |
| May 17, 2022 | Belgium U17(home) | 1-1 | UEFA U17 Championship |
| Mar 29, 2022 | Wales U17(away) | 4-2 | UEFA U17 Championship - Qualification |
| Mar 26, 2022 | Slovenia U17(away) | 2-2 | UEFA U17 Championship - Qualification |
How many goals should we expect?
Denmark U17 score 3.0 and concede 1.3 goals per match over their last 9; Serbia U17 score 2.8 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Denmark U17 | 3.0 | 1.3 | 2 | 7/9 | 8/9 |
| Serbia U17 | 2.8 | 1.2 | 2 | 6/9 | 5/9 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Denmark U17 | 3 | 1 | 1 | 1 | 5 | 8 | 4 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy