Nea Salamis vs Xylotympou: result 3-0 and analysis
2. DivisionMatchday 11Kick-off on December 4, 2021 at 12:30 PM (UTC)Stadio Ammochostos Epistrofi, Larnaca
Full time
What was the result of Nea Salamis vs Xylotympou?
Nea Salamis won 3-0 on December 4, 2021.
Goalscorers
- 18′MiguelitoNea Salamis
- 45′A. AndreouNea Salamis
- 81′I. PikisNea Salamis
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nea Salamis have 8 wins, 3 draws and 4 defeats; Xylotympou have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2021 | Othellos(away) | 4-1 | 2. Division |
| Nov 19, 2021 | Olympiada Lympion(home) | 3-0 | 2. Division |
| Nov 6, 2021 | Karmiotissa(away) | 1-2 | 2. Division |
| Oct 30, 2021 | Ayia Napa(home) | 4-1 | 2. Division |
| Oct 23, 2021 | Akritas(away) | 0-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2021 | Ermis(home) | 2-3 | 2. Division |
| Nov 20, 2021 | ASIL Lysi(away) | 1-1 | 2. Division |
| Nov 6, 2021 | Onisilos(home) | 3-0 | 2. Division |
| Oct 29, 2021 | Enosis(away) | 0-1 | 2. Division |
| Oct 23, 2021 | Anagennisi Deryneia(home) | 0-1 | 2. Division |
How many goals should we expect?
Nea Salamis score 1.9 and concede 0.9 goals per match over their last 15; Xylotympou score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nea Salamis | 1.9 | 0.9 | 5 | 8/15 | 9/15 |
| Xylotympou | 1.1 | 1.1 | 3 | 7/15 | 7/15 |
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 | Nea Salamis | 14 | 11 | 2 | 1 | 29 | 10 | 76 |
A question about Nea Salamis vs Xylotympou?
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