Matchakhela vs Lokomotivi Tbilisi: result 3-1 and analysis
Erovnuli Liga 2Group B - 13Kick-off on November 29, 2013 at 10:00 AM (UTC)Tsentraluri Stadioni, Khelvachauri
Full time
What was the result of Matchakhela vs Lokomotivi Tbilisi?
Matchakhela won 3-1 on November 29, 2013.
Goalscorers
- 5′256231Matchakhela
- 36′256244Matchakhela
- 60′G. ArabidzeLokomotivi Tbilisi
- 88′256231Matchakhela
What is the recent form of both teams?
Over their last 12 matches in all competitions, Matchakhela have 8 wins, 3 draws and 1 defeats; Lokomotivi Tbilisi have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2013 | Betlemi(away) | 2-0 | Erovnuli Liga 2 |
| Nov 13, 2013 | Dinamo Batumi(home) | 0-0 | Erovnuli Liga 2 |
| Nov 6, 2013 | Samgurali(away) | 0-0 | Erovnuli Liga 2 |
| Oct 25, 2013 | STU(home) | 2-0 | Erovnuli Liga 2 |
| Oct 19, 2013 | Saburtalo(away) | 1-1 | Erovnuli Liga 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2013 | Kolkheti Khobi(home) | 4-2 | Erovnuli Liga 2 |
| Nov 13, 2013 | Betlemi(away) | 0-1 | Erovnuli Liga 2 |
| Nov 6, 2013 | Dila II(home) | 3-4 | Erovnuli Liga 2 |
| Oct 25, 2013 | Dinamo Batumi(away) | 0-2 | Erovnuli Liga 2 |
| Oct 19, 2013 | Samtredia(home) | 0-1 | Erovnuli Liga 2 |
How many goals should we expect?
Matchakhela score 1.7 and concede 0.4 goals per match over their last 12; Lokomotivi Tbilisi score 1.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Matchakhela | 1.7 | 0.4 | 8 | 3/12 | 3/12 |
| Lokomotivi Tbilisi | 1.6 | 1.5 | 2 | 9/15 | 9/15 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Lokomotivi Tbilisi | 36 | 11 | 12 | 13 | 54 | 55 | 45 |
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