Meshakhte vs Sioni: result 0-1 and analysis
Erovnuli Liga 2Regular Season - 14Kick-off on May 24, 2017 at 01:00 PM (UTC)Stadioni Grigol Nikoleishvili, Vani
Full time
What was the result of Meshakhte vs Sioni?
Sioni won 0-1 on May 24, 2017.
Goalscorers
- 83′Jaba DvaliSioni (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Meshakhte have 4 wins, 3 draws and 8 defeats; Sioni have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2017 | Samgurali(away) | 0-2 | Erovnuli Liga 2 |
| May 13, 2017 | Merani Martvili(home) | 0-0 | Erovnuli Liga 2 |
| May 9, 2017 | Guria(away) | 0-1 | Erovnuli Liga 2 |
| May 4, 2017 | Tskhinvali(home) | 2-1 | Erovnuli Liga 2 |
| Apr 29, 2017 | Rustavi(away) | 0-5 | Erovnuli Liga 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2017 | Merani Martvili(home) | 1-1 | Erovnuli Liga 2 |
| May 14, 2017 | Tskhinvali(away) | 2-4 | Erovnuli Liga 2 |
| May 10, 2017 | Gagra(home) | 1-0 | Erovnuli Liga 2 |
| May 5, 2017 | Zugdidi(away) | 3-2 | Erovnuli Liga 2 |
| Apr 30, 2017 | Samgurali(away) | 4-2 | Erovnuli Liga 2 |
What does the head-to-head say?
Across the last 1 meetings: 0 Meshakhte win(s), 0 draw(s), 1 Sioni win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 5, 2017 | Sioni 2-0 Meshakhte | Erovnuli Liga 2 |
How many goals should we expect?
Meshakhte score 0.9 and concede 1.8 goals per match over their last 15; Sioni score 1.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Meshakhte | 0.9 | 1.8 | 3 | 5/15 | 7/15 |
| Sioni | 1.7 | 1.4 | 4 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Sioni | 22 | 7 | 7 | 8 | 27 | 25 | 28 |
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