21.01.2018 - 13:00
Stadium : DANOI Ammochostos-Epistrofi
Finished
# | Team | MP | W | D | L | GF | GA | GD | Pts | PPG | Last 5 |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | APOEL | 26 | 20 | 3 | 3 | 72 | 25 | +47 | 63 | 2.42 | |
2 | Apollon | 26 | 18 | 7 | 1 | 67 | 15 | +52 | 61 | 2.35 | |
3 | Anorthosis | 26 | 16 | 8 | 2 | 41 | 17 | +24 | 56 | 2.15 | |
4 | AEK Larnaca | 26 | 16 | 5 | 5 | 57 | 24 | +33 | 53 | 2.04 | |
5 | AEL | 26 | 14 | 6 | 6 | 35 | 17 | +18 | 48 | 1.85 | |
6 | Omonia Nicosia | 26 | 13 | 5 | 8 | 51 | 38 | +13 | 44 | 1.69 | |
7 | Doxa | 26 | 10 | 4 | 12 | 35 | 40 | -5 | 34 | 1.31 | |
8 | Ermis | 26 | 9 | 3 | 14 | 35 | 49 | -14 | 30 | 1.15 | |
9 | Paphos | 26 | 6 | 8 | 12 | 23 | 38 | -15 | 26 | 1.00 | |
10 | Nea Salamis | 26 | 6 | 6 | 14 | 28 | 46 | -18 | 24 | 0.92 | |
11 | Alki Oroklini | 26 | 6 | 5 | 15 | 30 | 57 | -27 | 23 | 0.88 | |
12 | Olympiakos | 26 | 4 | 8 | 14 | 22 | 55 | -33 | 20 | 0.77 | |
13 | Aris Limassol | 26 | 3 | 7 | 16 | 19 | 49 | -30 | 16 | 0.62 | |
14 | Ethnikos Achna | 26 | 1 | 5 | 20 | 19 | 64 | -45 | 8 | 0.31 |
# | Team | MP | W | D | L | GF | GA | GD | Pts | PPG | Last 5 |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | APOEL | 13 | 11 | 0 | 2 | 39 | 14 | +25 | 33 | 2.54 | |
2 | Apollon | 13 | 10 | 2 | 1 | 39 | 9 | +30 | 32 | 2.46 | |
3 | Anorthosis | 13 | 8 | 3 | 2 | 24 | 11 | +13 | 27 | 2.08 | |
4 | AEK Larnaca | 13 | 10 | 3 | 0 | 34 | 7 | +27 | 33 | 2.54 | |
5 | AEL | 13 | 7 | 3 | 3 | 18 | 7 | +11 | 24 | 1.85 | |
6 | Omonia Nicosia | 13 | 7 | 3 | 3 | 28 | 15 | +13 | 24 | 1.85 | |
7 | Doxa | 13 | 5 | 3 | 5 | 18 | 23 | -5 | 18 | 1.38 | |
8 | Ermis | 13 | 7 | 0 | 6 | 21 | 24 | -3 | 21 | 1.62 | |
9 | Paphos | 13 | 4 | 5 | 4 | 14 | 12 | +2 | 17 | 1.31 | |
10 | Nea Salamis | 13 | 4 | 4 | 5 | 14 | 16 | -2 | 16 | 1.23 | |
11 | Alki Oroklini | 13 | 2 | 2 | 9 | 14 | 33 | -19 | 8 | 0.62 | |
12 | Olympiakos | 13 | 2 | 5 | 6 | 13 | 21 | -8 | 11 | 0.85 | |
13 | Aris Limassol | 13 | 2 | 4 | 7 | 7 | 23 | -16 | 10 | 0.77 | |
14 | Ethnikos Achna | 13 | 1 | 3 | 9 | 9 | 27 | -18 | 6 | 0.46 |
# | Team | MP | W | D | L | GF | GA | GD | Pts | PPG | Last 5 |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | APOEL | 13 | 9 | 3 | 1 | 33 | 11 | +22 | 30 | 2.31 | |
2 | Apollon | 13 | 8 | 5 | 0 | 28 | 6 | +22 | 29 | 2.23 | |
3 | Anorthosis | 13 | 8 | 5 | 0 | 17 | 6 | +11 | 29 | 2.23 | |
4 | AEK Larnaca | 13 | 6 | 2 | 5 | 23 | 17 | +6 | 20 | 1.54 | |
5 | AEL | 13 | 7 | 3 | 3 | 17 | 10 | +7 | 24 | 1.85 | |
6 | Omonia Nicosia | 13 | 6 | 2 | 5 | 23 | 23 | 0 | 20 | 1.54 | |
7 | Doxa | 13 | 5 | 1 | 7 | 17 | 17 | 0 | 16 | 1.23 | |
8 | Ermis | 13 | 2 | 3 | 8 | 14 | 25 | -11 | 9 | 0.69 | |
9 | Paphos | 13 | 2 | 3 | 8 | 9 | 26 | -17 | 9 | 0.69 | |
10 | Nea Salamis | 13 | 2 | 2 | 9 | 14 | 30 | -16 | 8 | 0.62 | |
11 | Alki Oroklini | 13 | 4 | 3 | 6 | 16 | 24 | -8 | 15 | 1.15 | |
12 | Olympiakos | 13 | 2 | 3 | 8 | 9 | 34 | -25 | 9 | 0.69 | |
13 | Aris Limassol | 13 | 1 | 3 | 9 | 12 | 26 | -14 | 6 | 0.46 | |
14 | Ethnikos Achna | 13 | 0 | 2 | 11 | 10 | 37 | -27 | 2 | 0.15 |
At the moment, Nea Salamis is in 10th in the First Division. In 26 matches, Nea Salamis has 6 wins, 6 draws, and 14 losses.
The club has picked up 24 points (adding up all matches, including knockout matches). So based on points per match, they have picked up 0.92 points per match to date in the tournament.
Here are more stats from Nea Salamis’s campaign at home in the First Division below:
If we only look at Nea Salamis’s away matches, this is their current record:
As for Paphos’s campaign, they sit in 9th in the competition table and this is the current state of their First Division campaign:
As a result, Paphos has, in terms of the overall campaign, the 9th position on the leaderboard. When Paphos plays as home team, the situation is as follows: 13 games, 4 wins, 5 draws and 4 losses.
Now, when playing away from home, Paphos adds:
The competition table helps provide an overview of the teams’ performance during the current campaign and helps identify patterns, trends, and statistics relevant to analysing Nea Salamis vs Paphos.
With this data, you can check each club’s goal production, their position in the table, their goal difference, and other factors that can be useful for predicting the outcome of the match.
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