Volos NFC vs Trikala: result 1-1 and analysis
Football LeagueRegular Season - 21Kick-off on March 10, 2019 at 01:00 PM (UTC)Panthessaliko Stadio, Volos
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What was the result of Volos NFC vs Trikala?
Volos NFC and Trikala drew 1-1 on March 10, 2019.
Goalscorers
- 17′S. TsimikasTrikala
- 68′M. GarcíaVolos NFC (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Volos NFC have 9 wins, 1 draws and 5 defeats; Trikala have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 6, 2019 | Ergotelis(away) | 0-2 | Football League |
| Mar 2, 2019 | Kissamikos(home) | 1-4 | Football League |
| Feb 24, 2019 | Apollon Pontou(away) | 0-1 | Football League |
| Feb 17, 2019 | Doxa Dramas(home) | 2-1 | Football League |
| Feb 10, 2019 | AE Karaiskakis(away) | 1-0 | Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 6, 2019 | Sparti(home) | 1-0 | Football League |
| Mar 2, 2019 | Ergotelis(home) | 1-1 | Football League |
| Feb 24, 2019 | Kissamikos(away) | 0-1 | Football League |
| Feb 17, 2019 | Apollon Pontou(home) | 0-1 | Football League |
| Feb 9, 2019 | Doxa Dramas(away) | 2-1 | Football League |
What does the head-to-head say?
Across the last 1 meetings: 1 Volos NFC win(s), 0 draw(s), 0 Trikala win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 25, 2018 | Trikala 0-1 Volos NFC | Football League |
How many goals should we expect?
Volos NFC score 1.7 and concede 1.3 goals per match over their last 15; Trikala score 0.9 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Volos NFC | 1.7 | 1.3 | 2 | 10/15 | 9/15 |
| Trikala | 0.9 | 0.8 | 5 | 7/15 | 2/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Trikala | 23 | 13 | 7 | 3 | 28 | 14 | 46 |
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