Thesprotos vs Trikala: result 1-2 and analysis
Football LeagueRegular Season - 9Kick-off on November 23, 2019 at 01:00 PM (UTC)Stadio Igoumenitsas, Igoumenitsa
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What was the result of Thesprotos vs Trikala?
Trikala won 1-2 on November 23, 2019.
Goalscorers
- 55′?Trikala
- 59′?Thesprotos
- 77′?Trikala
What is the recent form of both teams?
Over their last 12 matches in all competitions, Thesprotos have 4 wins, 2 draws and 6 defeats; Trikala have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2019 | Veria(away) | 1-1 | Football League |
| Nov 10, 2019 | Aspropyrgos Enosis(home) | 1-0 | Football League |
| Nov 3, 2019 | Kavala(away) | 1-4 | Football League |
| Oct 27, 2019 | Triglia(home) | 3-0 | Football League |
| Oct 19, 2019 | Olympiakos Volos(away) | 1-1 | Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2019 | Egaleo(home) | 2-1 | Football League |
| Nov 9, 2019 | Veria(home) | 2-1 | Football League |
| Nov 3, 2019 | Aspropyrgos Enosis(away) | 1-1 | Football League |
| Oct 31, 2019 | Ergotelis(home) | 3-2 | Cup |
| Oct 26, 2019 | Kavala(home) | 0-0 | Football League |
How many goals should we expect?
Thesprotos score 1.5 and concede 1.6 goals per match over their last 12; Trikala score 1.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Thesprotos | 1.5 | 1.6 | 4 | 7/12 | 7/12 |
| Trikala | 1.5 | 0.9 | 5 | 9/15 | 8/15 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
Thesprotos sit 10th in Football League (24 points from 23 matches) and Trikala sit 1st (46 points from 23 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Trikala | 23 | 13 | 7 | 3 | 28 | 14 | 46 |
| 10 | Thesprotos | 23 | 7 | 3 | 13 | 26 | 33 | 24 |
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