Ionikos vs Diagoras: result 3-2 and analysis
Football LeagueRegular Season - 8Kick-off on November 17, 2019 at 01:00 PM (UTC)Dimotiko Gipedo Neapolis Nikaias, Athína (Athens)
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What was the result of Ionikos vs Diagoras?
Ionikos won 3-2 on November 17, 2019.
Goalscorers
- 16′?Diagoras
- 51′Alexandros SmirlisIonikos
- 54′?Diagoras
- 88′A. VlachomitrosIonikos
- 90′?Ionikos
What is the recent form of both teams?
Over their last 9 matches in all competitions, Ionikos have 5 wins, 1 draws and 3 defeats; Diagoras have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2019 | Egaleo(away) | 2-1 | Football League |
| Nov 2, 2019 | Niki Volos(away) | 2-1 | Football League |
| Oct 27, 2019 | Ialysos(home) | 1-0 | Football League |
| Oct 19, 2019 | Kalamata(away) | 0-1 | Football League |
| Oct 13, 2019 | OF Ierapetra(home) | 0-1 | Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2019 | Niki Volos(home) | 1-1 | Football League |
| Nov 3, 2019 | Ialysos(away) | 1-1 | Football League |
| Oct 27, 2019 | Kalamata(home) | 2-0 | Football League |
| Oct 20, 2019 | OF Ierapetra(away) | 0-0 | Football League |
| Oct 13, 2019 | Thesprotos(home) | 4-1 | Football League |
How many goals should we expect?
Ionikos score 1.2 and concede 0.7 goals per match over their last 9; Diagoras score 0.6 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ionikos | 1.2 | 0.7 | 4 | 3/9 | 4/9 |
| Diagoras | 0.6 | 1.7 | 4 | 4/15 | 8/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
Ionikos sit 2nd in Football League (40 points from 23 matches) and Diagoras sit 3rd (38 points from 23 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Ionikos | 23 | 11 | 7 | 5 | 26 | 13 | 40 |
| 3 | Diagoras | 23 | 10 | 8 | 5 | 27 | 15 | 38 |
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