Agrotikos Asteras vs Trikala: result 1-2 and analysis
Football LeagueRegular Season - 2Kick-off on October 4, 2015 at 01:00 PM (UTC)Gipedo Evosmou, Evosmos
Full time
What was the result of Agrotikos Asteras vs Trikala?
Trikala won 1-2 on October 4, 2015.
Goalscorers
- 45′Nikos KouskounasTrikala
- 66′D. GbaleTrikala
- 77′Alexis TsemberidisAgrotikos Asteras
What is the recent form of both teams?
Over their last 15 matches in all competitions, Agrotikos Asteras have 8 wins, 4 draws and 3 defeats; Trikala have 0, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2015 | Anagennisi Karditsas(away) | 0-0 | Football League |
| Sep 16, 2015 | Kallithea(away) | 0-2 | Cup |
| Sep 9, 2015 | Kallithea(home) | 0-0 | Cup |
| Jun 14, 2015 | Tyrnavos(home) | 1-0 | Football League |
| Jun 8, 2015 | Aiginiakos(away) | 0-3 | Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2015 | Kissamikos(home) | 2-2 | Football League |
| Sep 16, 2015 | Acharnaikos(home) | 0-0 | Cup |
| Sep 10, 2015 | Acharnaikos(away) | 0-1 | Cup |
How many goals should we expect?
Agrotikos Asteras score 1.3 and concede 0.7 goals per match over their last 15; Trikala score 0.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Agrotikos Asteras | 1.3 | 0.7 | 9 | 4/15 | 6/15 |
| Trikala | 0.7 | 1.0 | 1 | 1/3 | 1/3 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Trikala | 23 | 13 | 7 | 3 | 28 | 14 | 46 |
A question about Agrotikos Asteras vs Trikala?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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