Panionios vs Larisa: result 1-0 and analysis
Super League 1Regular Season - 24Kick-off on March 11, 2017 at 03:15 PM (UTC)Stadio Néas Smírnis, Athens
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What was the result of Panionios vs Larisa?
Panionios won 1-0 on March 11, 2017.
Goalscorers
- 33′E. Fardou Ben MohamedPanionios
What is the recent form of both teams?
Over their last 15 matches in all competitions, Panionios have 9 wins, 4 draws and 2 defeats; Larisa have 2, 6 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 6, 2017 | AEK Athens FC(home) | 1-1 | Super League 1 |
| Feb 26, 2017 | Olympiakos Piraeus(away) | 1-0 | Super League 1 |
| Feb 19, 2017 | Iraklis(home) | 1-0 | Super League 1 |
| Feb 11, 2017 | Veria(away) | 1-0 | Super League 1 |
| Feb 5, 2017 | Xanthi FC(home) | 2-0 | Super League 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 4, 2017 | PAS Giannina(home) | 1-1 | Super League 1 |
| Feb 26, 2017 | AEK Athens FC(away) | 0-3 | Super League 1 |
| Feb 20, 2017 | Levadiakos(home) | 2-1 | Super League 1 |
| Feb 11, 2017 | Olympiakos Piraeus(away) | 0-2 | Super League 1 |
| Feb 4, 2017 | AOK Kerkyra(home) | 1-1 | Super League 1 |
What does the head-to-head say?
Across the last 1 meetings: 0 Panionios win(s), 0 draw(s), 1 Larisa win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 29, 2016 | Larisa 2-0 Panionios | Super League 1 |
How many goals should we expect?
Panionios score 1.3 and concede 0.7 goals per match over their last 15; Larisa score 0.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Panionios | 1.3 | 0.7 | 7 | 6/15 | 3/15 |
| Larisa | 0.7 | 1.3 | 2 | 8/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Larisa | 36 | 5 | 15 | 16 | 34 | 56 | 30 |
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