Molodechno-DYuSSh 4 vs Gorki: result 3-1 and analysis
2. DivisionRegular Season - 19Kick-off on August 31, 2019 at 02:00 PM (UTC)Stadyen Haradski, Molodechno
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What was the result of Molodechno-DYuSSh 4 vs Gorki?
Molodechno-DYuSSh 4 won 3-1 on August 31, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Molodechno-DYuSSh 4 have 9 wins, 0 draws and 6 defeats; Gorki have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 24, 2019 | Energosbyt-BSATU(away) | 9-1 | 2. Division |
| Aug 17, 2019 | Kletsk(home) | 3-0 | 2. Division |
| Aug 10, 2019 | SMI Autotrans(away) | 5-1 | 2. Division |
| Jul 20, 2019 | Neman-Agro(away) | 11-1 | 2. Division |
| Jul 13, 2019 | Viktoriya Maryina Horka(home) | 3-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 24, 2019 | Neman-Agro(home) | 3-1 | 2. Division |
| Aug 17, 2019 | Viktoriya Maryina Horka(away) | 0-0 | 2. Division |
| Aug 10, 2019 | Ivatsevichi(home) | 0-0 | 2. Division |
| Jul 27, 2019 | Osipovichy(home) | 0-0 | 2. Division |
| Jul 20, 2019 | Uzda(away) | 2-0 | 2. Division |
What does the head-to-head say?
Across the last 3 meetings: 1 Molodechno-DYuSSh 4 win(s), 1 draw(s), 1 Gorki win(s).
| Date | Score | Competition |
|---|---|---|
| May 12, 2019 | Gorki 1-2 Molodechno-DYuSSh 4 | 2. Division |
| Sep 22, 2018 | Gorki 6-0 Molodechno-DYuSSh 4 | 2. Division |
| Jun 9, 2018 | Molodechno-DYuSSh 4 2-2 Gorki | 2. Division |
Last archived meeting: Gorki vs Molodechno-DYuSSh 4 on May 12, 2019
How many goals should we expect?
Molodechno-DYuSSh 4 score 3.1 and concede 1.5 goals per match over their last 15; Gorki score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Molodechno-DYuSSh 4 | 3.1 | 1.5 | 4 | 8/15 | 14/15 |
| Gorki | 1.3 | 1.5 | 4 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
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