Panionios vs Iraklis: result 1-0 and analysis
Super League 1Regular Season - 21Kick-off on February 19, 2017 at 01:00 PM (UTC)Stadio Néas Smírnis, Athens
Full time
What was the result of Panionios vs Iraklis?
Panionios won 1-0 on February 19, 2017.
Goalscorers
- 39′E. Fardou Ben MohamedPanionios
What is the recent form of both teams?
Over their last 15 matches in all competitions, Panionios have 8 wins, 4 draws and 3 defeats; Iraklis have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 11, 2017 | Veria(away) | 1-0 | Super League 1 |
| Feb 5, 2017 | Xanthi FC(home) | 2-0 | Super League 1 |
| Jan 28, 2017 | Asteras Tripolis(away) | 1-1 | Super League 1 |
| Jan 21, 2017 | Panetolikos(home) | 2-0 | Super League 1 |
| Jan 18, 2017 | PAS Giannina(away) | 0-1 | Super League 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 13, 2017 | AEK Athens FC(home) | 2-2 | Super League 1 |
| Feb 5, 2017 | Olympiakos Piraeus(away) | 0-3 | Super League 1 |
| Feb 1, 2017 | AOK Kerkyra(home) | 0-0 | Super League 1 |
| Jan 28, 2017 | Larisa(home) | 1-1 | Super League 1 |
| Jan 25, 2017 | Veria(away) | 2-0 | Super League 1 |
What does the head-to-head say?
Across the last 5 meetings: 4 Panionios win(s), 0 draw(s), 1 Iraklis win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 1, 2016 | Iraklis 1-2 Panionios | Super League 1 |
| Jan 10, 2016 | Panionios 1-0 Iraklis | Super League 1 |
| Aug 30, 2015 | Iraklis 0-1 Panionios | Super League 1 |
| Mar 4, 2015 | Panionios 4-0 Iraklis | Cup |
| Feb 11, 2015 | Iraklis 2-0 Panionios | Cup |
How many goals should we expect?
Panionios score 1.3 and concede 0.8 goals per match over their last 15; Iraklis score 1.0 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Panionios | 1.3 | 0.8 | 6 | 6/15 | 3/15 |
| Iraklis | 1.0 | 1.4 | 3 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
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