Diagoras vs Thesprotos: result 4-1 and analysis
Football LeagueRegular Season - 3Kick-off on October 13, 2019 at 01:00 PM (UTC)Stadio Diagora, Rodos
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What was the result of Diagoras vs Thesprotos?
Diagoras won 4-1 on October 13, 2019.
Goalscorers
- 26′?Diagoras
- 55′?Diagoras
- 78′?Diagoras
- 88′?Thesprotos (pen.)
- 90′?Diagoras
What is the recent form of both teams?
Over their last 15 matches in all competitions, Diagoras have 0 wins, 2 draws and 13 defeats; Thesprotos have 2, 0 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2019 | Trikala(home) | 1-2 | Football League |
| Sep 29, 2019 | Veria(away) | 0-0 | Football League |
| Sep 18, 2019 | Veria(away) | 0-2 | Cup |
| May 23, 2012 | Panthrakikos(home) | 0-3 | Football League |
| May 20, 2012 | Platanias(away) | 0-3 | Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2019 | Ionikos(home) | 0-2 | Football League |
| Sep 29, 2019 | Niki Volos(away) | 1-2 | Football League |
| Sep 14, 2019 | Aetos Orfani(away) | 1-2 | Cup |
| Sep 16, 2018 | Apollon Larissa FC(home) | 2-3 | Cup |
| Sep 5, 2018 | Anagennisi Plagia(away) | 5-0 | Cup |
How many goals should we expect?
Diagoras score 0.1 and concede 2.5 goals per match over their last 15; Thesprotos score 1.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Diagoras | 0.1 | 2.5 | 2 | 1/15 | 12/15 |
| Thesprotos | 1.7 | 1.5 | 2 | 3/6 | 4/6 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Diagoras sit 3rd in Football League (38 points from 23 matches) and Thesprotos sit 10th (24 points from 23 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Diagoras | 23 | 10 | 8 | 5 | 27 | 15 | 38 |
| 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