Apollon Pontou vs Makedonikos Neapolis: result 3-1 and analysis
Super League 2Group A - 11Kick-off on January 16, 2023 at 12:45 PM (UTC)Dimotiko Stadio Polykastro, Polykastro
Full time
What was the result of Apollon Pontou vs Makedonikos Neapolis?
Apollon Pontou won 3-1 on January 16, 2023.
Goalscorers
- 16′B. EsaloApollon Pontou
- 43′S. BelevonisApollon Pontou
- 58′S. BelevonisApollon Pontou
- 80′A. KalogerisMakedonikos Neapolis (o.g.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Apollon Pontou have 3 wins, 3 draws and 9 defeats; Makedonikos Neapolis have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 12, 2023 | Panserraikos(home) | 0-1 | Cup |
| Jan 7, 2023 | Panathinaikos II(away) | 0-0 | Super League 2 |
| Jan 3, 2023 | Panserraikos(home) | 0-2 | Super League 2 |
| Dec 22, 2022 | Iraklis 1908(away) | 0-2 | Super League 2 |
| Dec 19, 2022 | Almopos(home) | 0-1 | Super League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 8, 2023 | Larisa(home) | 1-3 | Super League 2 |
| Jan 5, 2023 | Veria(away) | 2-1 | Super League 2 |
| Dec 16, 2022 | Panathinaikos II(home) | 1-1 | Super League 2 |
| Dec 11, 2022 | Panserraikos(away) | 0-2 | Super League 2 |
| Dec 3, 2022 | Iraklis 1908(home) | 2-0 | Super League 2 |
How many goals should we expect?
Apollon Pontou score 0.5 and concede 1.3 goals per match over their last 15; Makedonikos Neapolis score 0.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Apollon Pontou | 0.5 | 1.3 | 4 | 3/15 | 5/15 |
| Makedonikos Neapolis | 0.9 | 0.7 | 7 | 3/15 | 2/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Makedonikos Neapolis | 18 | 1 | 3 | 14 | 8 | 37 | 6 |
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