Larisa vs Thesprotos: prediction and stats
Super League 2Group A - 30Kick-off on May 1, 2022 at 12:00 PM (UTC)AEL Arena, Larissa
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Larisa have 9 wins, 4 draws and 2 defeats; Thesprotos 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 |
|---|---|---|---|
| May 1, 2022 | Trikala(home) | 3-0 | Super League 2 |
| Apr 27, 2022 | PAOK II(away) | 0-2 | Super League 2 |
| Apr 17, 2022 | Olympiakos Volos(home) | 0-0 | Super League 2 |
| Apr 14, 2022 | Niki Volos(away) | 1-1 | Super League 2 |
| Apr 10, 2022 | Almopos(home) | 2-1 | Super League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2022 | Apollon Pontou(away) | 0-0 | Super League 2 |
| Apr 27, 2022 | Veria(home) | 1-3 | Super League 2 |
| Apr 17, 2022 | Iraklis 1908(away) | 0-6 | Super League 2 |
| Apr 13, 2022 | Panserraikos(home) | 3-0 | Super League 2 |
| Apr 9, 2022 | Olympiakos Piraeus II(away) | 0-4 | Super League 2 |
What does the head-to-head say?
Across the last 2 meetings: 1 Larisa win, 1 draw, 0 Thesprotos wins.
| Date | Score | Competition |
|---|---|---|
| Apr 3, 2022 | Larisa 1-0 Thesprotos | Super League 2 |
| Jan 19, 2022 | Thesprotos 0-0 Larisa | Super League 2 |
How many goals should we expect?
Larisa score 1.3 and concede 0.7 goals per match over their last 15; Thesprotos score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Larisa | 1.3 | 0.7 | 8 | 5/15 | 5/15 |
| Thesprotos | 0.9 | 1.5 | 6 | 5/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Larisa | 7 | 3 | 3 | 1 | 9 | 4 | 12 |
A question about Larisa vs Thesprotos?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy