Molodechno-DYuSSh 4 vs Arsenal: result 0-5 and analysis
Coppa2nd RoundKick-off on June 12, 2019 at 03:30 PM (UTC)Stadyen Haradski, Molodechno
Full time
What was the result of Molodechno-DYuSSh 4 vs Arsenal?
Arsenal won 0-5 on June 12, 2019.
Goalscorers
- 15′N. PatskoArsenal
- 22′Vyacheslav HlebArsenal (pen.)
- 50′A. KiykoArsenal
- 74′D. MaksumovArsenal
- 85′N. PatskoArsenal
What is the recent form of both teams?
Over their last 15 matches in all competitions, Molodechno-DYuSSh 4 have 10 wins, 1 draws and 4 defeats; Arsenal have 8, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 8, 2019 | Čist́(away) | 2-1 | 2. Division |
| Jun 1, 2019 | DYuSSh-3 Pinsk(home) | 0-1 | 2. Division |
| May 25, 2019 | Belshina II(away) | 5-0 | 2. Division |
| May 18, 2019 | Arsenal(home) | 1-2 | 2. Division |
| May 12, 2019 | Gorki(away) | 2-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 8, 2019 | Energosbyt-BSATU(home) | 4-2 | 2. Division |
| Jun 1, 2019 | Kletsk(away) | 6-0 | 2. Division |
| May 25, 2019 | SMI Autotrans(home) | 5-0 | 2. Division |
| May 18, 2019 | Molodechno-DYuSSh 4(away) | 2-1 | 2. Division |
| May 12, 2019 | Neman-Agro(home) | 7-0 | 2. Division |
What does the head-to-head say?
Across the last 1 meetings: 0 Molodechno-DYuSSh 4 win(s), 0 draw(s), 1 Arsenal win(s).
| Date | Score | Competition |
|---|---|---|
| May 18, 2019 | Molodechno-DYuSSh 4 1-2 Arsenal | 2. Division |
Last archived meeting: Molodechno-DYuSSh 4 vs Arsenal on May 18, 2019
How many goals should we expect?
Molodechno-DYuSSh 4 score 2.4 and concede 1.9 goals per match over their last 15; Arsenal score 4.5 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Molodechno-DYuSSh 4 | 2.4 | 1.9 | 2 | 10/15 | 13/15 |
| Arsenal | 4.5 | 0.6 | 5 | 3/8 | 8/8 |
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