Bumprom vs Molodechno-DYuSSh 4: result 0-1 and analysis
Coppa2nd RoundKick-off on May 28, 2022 at 01:30 PM (UTC)Stadyen DYuSSh-8, Gomel
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What was the result of Bumprom vs Molodechno-DYuSSh 4?
Molodechno-DYuSSh 4 won 0-1 on May 28, 2022.
Goalscorers
- 79′Vladislav ShumilovMolodechno-DYuSSh 4
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bumprom have 12 wins, 1 draws and 2 defeats; Molodechno-DYuSSh 4 have 7, 6 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2022 | Iput DYuSSh(home) | 13-0 | 2. Division |
| May 14, 2022 | Leskhoz(home) | 3-1 | Coppa |
| May 7, 2022 | Leskhoz(home) | 3-1 | 2. Division |
| Apr 30, 2022 | Iput DYuSSh(away) | 17-1 | Coppa |
| Oct 9, 2021 | BC Maxline(home) | 1-4 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2022 | Shakhtyor Petrikov(home) | 0-3 | 1. Division |
| May 15, 2022 | Baranovichi(away) | 3-3 | 1. Division |
| May 8, 2022 | Lokomotiv Gomel(home) | 0-0 | 1. Division |
| Apr 30, 2022 | Slonim(away) | 2-2 | 1. Division |
| Apr 23, 2022 | Volna(home) | 2-1 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 0 Bumprom win(s), 0 draw(s), 2 Molodechno-DYuSSh 4 win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 10, 2018 | Bumprom 2-4 Molodechno-DYuSSh 4 | 2. Division |
| Jul 28, 2018 | Molodechno-DYuSSh 4 1-0 Bumprom | 2. Division |
Last archived meeting: Bumprom vs Molodechno-DYuSSh 4 on Nov 10, 2018
How many goals should we expect?
Bumprom score 4.3 and concede 0.9 goals per match over their last 15; Molodechno-DYuSSh 4 score 2.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bumprom | 4.3 | 0.9 | 7 | 7/15 | 10/15 |
| Molodechno-DYuSSh 4 | 2.9 | 1.1 | 6 | 7/15 | 11/15 |
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