Iraklis vs Platanias: result 0-3 and analysis
Cup2nd Round - 3Kick-off on November 30, 2017 at 01:00 PM (UTC)Kaftanzoglio Stadio, Thessaloníki
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What was the result of Iraklis vs Platanias?
Platanias won 0-3 on November 30, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Iraklis have 4 wins, 5 draws and 6 defeats; Platanias have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2017 | Apollon Smirnis(away) | 0-3 | Cup |
| Sep 19, 2017 | OFI(home) | 0-3 | Cup |
| Apr 30, 2017 | Asteras Tripolis(away) | 2-2 | Super League 1 |
| Apr 23, 2017 | Panetolikos(home) | 2-1 | Super League 1 |
| Apr 9, 2017 | PAS Giannina(away) | 2-1 | Super League 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2017 | AEK Athens FC(away) | 0-3 | Super League 1 |
| Nov 19, 2017 | Asteras Tripolis(home) | 0-3 | Super League 1 |
| Nov 5, 2017 | Olympiakos Piraeus(away) | 1-5 | Super League 1 |
| Oct 29, 2017 | Lamia(away) | 0-2 | Super League 1 |
| Oct 26, 2017 | OFI(away) | 0-1 | Cup |
What does the head-to-head say?
Across the last 5 meetings: 0 Iraklis win(s), 4 draw(s), 1 Platanias win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 20, 2017 | Platanias 1-0 Iraklis | Super League 1 |
| Nov 7, 2016 | Iraklis 1-1 Platanias | Super League 1 |
| Jan 25, 2016 | Iraklis 0-0 Platanias | Super League 1 |
| Sep 22, 2015 | Platanias 0-0 Iraklis | Super League 1 |
| Jan 7, 2015 | Platanias 0-0 Iraklis | Cup |
How many goals should we expect?
Iraklis score 0.9 and concede 1.3 goals per match over their last 15; Platanias score 0.5 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Iraklis | 0.9 | 1.3 | 3 | 6/15 | 8/15 |
| Platanias | 0.5 | 1.9 | 3 | 5/15 | 6/15 |
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