Latvia W vs North Macedonia W: result 3-4 and analysis
UEFA Championship - Women - QualificationLeague C - 1Kick-off on April 5, 2024 at 02:30 PM (UTC)LNK Sporta Parks (mākslīgais), Riga
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What was the result of Latvia W vs North Macedonia W?
North Macedonia W won 3-4 on April 5, 2024.
Goalscorers
- 7′K. MiksoneLatvia W
- 17′G. RochiNorth Macedonia W
- 24′A. RoÄÄneNorth Macedonia W (o.g.)
- 32′N. AndonovaNorth Macedonia W
- 63′A. PoļuhoviÄaLatvia W
- 69′446801North Macedonia W (o.g.)
- 76′K. MiksoneLatvia W
What is the recent form of both teams?
Over their last 15 matches in all competitions, Latvia W have 3 wins, 3 draws and 9 defeats; North Macedonia W have 1, 1 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 27, 2024 | Slovakia W(away) | 0-6 | UEFA Nations League - Women |
| Feb 23, 2024 | Slovakia W(home) | 0-3 | UEFA Nations League - Women |
| Dec 5, 2023 | Malta W(away) | 1-2 | UEFA Nations League - Women |
| Dec 1, 2023 | Andorra W(home) | 4-0 | UEFA Nations League - Women |
| Oct 31, 2023 | Moldova W(away) | 3-3 | UEFA Nations League - Women |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 28, 2024 | Georgia W(away) | 0-1 | Friendlies Women |
| Feb 25, 2024 | Georgia W(away) | 0-3 | Friendlies Women |
| Dec 5, 2023 | Bulgaria W(away) | 2-2 | UEFA Nations League - Women |
| Oct 31, 2023 | Kosovo W(away) | 1-3 | UEFA Nations League - Women |
| Oct 27, 2023 | Kosovo W(home) | 0-2 | UEFA Nations League - Women |
How many goals should we expect?
Latvia W score 1.3 and concede 2.7 goals per match over their last 15; North Macedonia W score 0.6 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Latvia W | 1.3 | 2.7 | 3 | 4/15 | 10/15 |
| North Macedonia W | 0.6 | 2.3 | 0 | 6/15 | 9/15 |
Over the last 15 matches in all competitions.
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