Apollon Larissa FC vs Thesprotos: prediction and stats
Super League 2Group A - 27Kick-off on May 7, 2023 at 12:00 AM (UTC)Gipedo Apollon Larisas, Larissa
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Apollon Larissa FC have 3 wins, 1 draws and 11 defeats; Thesprotos have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 19, 2023 | Panserraikos(home) | 0-3 | Super League 2 |
| Mar 12, 2023 | Iraklis 1908(away) | 0-6 | Super League 2 |
| Feb 18, 2023 | Panathinaikos II(home) | 0-3 | Super League 2 |
| Jan 29, 2023 | Almopos(home) | 0-0 | Super League 2 |
| Jan 23, 2023 | Thesprotos(away) | 0-6 | Super League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2023 | Diagoras(away) | 3-2 | Super League 2 |
| Apr 29, 2023 | Anagennisi Karditsas(home) | 0-0 | Super League 2 |
| Apr 23, 2023 | Apollon Pontou(away) | 1-0 | Super League 2 |
| Apr 19, 2023 | Larisa(home) | 0-2 | Super League 2 |
| Apr 9, 2023 | Veria(away) | 0-3 | Super League 2 |
What does the head-to-head say?
Across the last 4 meetings: 2 Apollon Larissa FC win(s), 1 draw(s), 1 Thesprotos win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 23, 2023 | Thesprotos 6-0 Apollon Larissa FC | Super League 2 |
| Apr 6, 2022 | Thesprotos 1-1 Apollon Larissa FC | Super League 2 |
| Feb 2, 2022 | Apollon Larissa FC 2-1 Thesprotos | Super League 2 |
| Sep 16, 2018 | Thesprotos 2-3 Apollon Larissa FC | Cup |
Last archived meeting: Thesprotos vs Apollon Larissa FC on Jan 23, 2023
How many goals should we expect?
Apollon Larissa FC score 0.5 and concede 3.1 goals per match over their last 15; Thesprotos score 1.0 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Apollon Larissa FC | 0.5 | 3.1 | 3 | 4/15 | 10/15 |
| Thesprotos | 1.0 | 1.6 | 3 | 6/15 | 5/15 |
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