Aiolikos vs Makedonikos Neapolis: result 1-3 and analysis
Super League 2Group A - 2Kick-off on October 2, 2023 at 10:30 AM (UTC)Dimotiko Stadio Mytilene, Mytilene
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What was the result of Aiolikos vs Makedonikos Neapolis?
Makedonikos Neapolis won 1-3 on October 2, 2023.
Goalscorers
- 14′S. Ramírez MontoyaMakedonikos Neapolis
- 23′S. Ramírez MontoyaMakedonikos Neapolis
- 36′A. ZafirakisMakedonikos Neapolis
- 55′Š. KordićAiolikos
What is the recent form of both teams?
Over their last 15 matches in all competitions, Aiolikos have 11 wins, 1 draws and 3 defeats; Makedonikos Neapolis have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2023 | Anagennisi Karditsas(home) | 3-0 | Cup |
| Sep 24, 2023 | Kozani(away) | 2-1 | Super League 2 |
| Jun 23, 2023 | Giouchtas(away) | 0-2 | Gamma Ethniki - Promotion Group |
| Jun 18, 2023 | Kozani(home) | 2-0 | Gamma Ethniki - Promotion Group |
| Jun 11, 2023 | Tilikratis(away) | 2-1 | Gamma Ethniki - Promotion Group |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2023 | Iraklis 1908(home) | 0-0 | Super League 2 |
| Sep 13, 2023 | Egaleo(home) | 0-4 | Cup |
| Jun 17, 2023 | PAOK II(home) | 3-1 | Super League 2 |
| Jun 10, 2023 | Iraklis Larissa(away) | 0-0 | Super League 2 |
| Jun 5, 2023 | Diagoras(home) | 1-0 | Super League 2 |
How many goals should we expect?
Aiolikos score 1.7 and concede 0.8 goals per match over their last 15; Makedonikos Neapolis score 0.6 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aiolikos | 1.7 | 0.8 | 7 | 5/15 | 8/15 |
| Makedonikos Neapolis | 0.6 | 1.1 | 5 | 5/15 | 4/15 |
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