Ethnikos Latsion vs Krasava Ypsonas: result 0-2 and analysis
3. DivisionMatchday 6Kick-off on October 20, 2018 at 12:30 PM (UTC)Dimotiko Stadio Latsia, Latsia
Full time
What was the result of Ethnikos Latsion vs Krasava Ypsonas?
Krasava Ypsonas won 0-2 on October 20, 2018.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Ethnikos Latsion have 1 win, 1 draw and 3 defeats; Krasava Ypsonas have 3, 2 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2018 | Kouris Erimi(away) | 1-2 | 3. Division |
| Oct 6, 2018 | Olympiada Lympion(home) | 3-1 | 3. Division |
| Sep 29, 2018 | Ahironas(away) | 2-2 | 3. Division |
| Sep 22, 2018 | Omonia Psevda(home) | 0-1 | 3. Division |
| Sep 15, 2018 | ENAD(away) | 0-2 | 3. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2018 | Halkanoras(home) | 2-2 | 3. Division |
| Oct 6, 2018 | Elpida Astromeritis(away) | 2-1 | 3. Division |
| Sep 29, 2018 | Peyia(home) | 5-1 | 3. Division |
| Sep 23, 2018 | Ethnikos Assias(away) | 4-0 | 3. Division |
| Sep 15, 2018 | Kouris Erimi(away) | 0-0 | 3. Division |
How many goals should we expect?
Ethnikos Latsion score 1.2 and concede 1.6 goals per match over their last 5; Krasava Ypsonas score 2.6 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ethnikos Latsion | 1.2 | 1.6 | 0 | 3/5 | 3/5 |
| Krasava Ypsonas | 2.6 | 0.8 | 2 | 3/5 | 4/5 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Ethnikos Latsion | 14 | 10 | 2 | 2 | 26 | 12 | 63 |
A question about Ethnikos Latsion vs Krasava Ypsonas?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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