Bumprom vs Molodechno-DYuSSh 4: result 2-4 and analysis
2. DivisionRegular Season - 30Kick-off on November 10, 2018 at 11:00 AM (UTC)
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What was the result of Bumprom vs Molodechno-DYuSSh 4?
Molodechno-DYuSSh 4 won 2-4 on November 10, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bumprom have 0 wins, 0 draws and 15 defeats; Molodechno-DYuSSh 4 have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2018 | Uzda(home) | 0-3 | 2. Division |
| Nov 3, 2018 | Kletsk(away) | 0-3 | 2. Division |
| Oct 31, 2018 | Kletsk(home) | 0-4 | 2. Division |
| Oct 27, 2018 | SMI Autotrans(home) | 3-4 | 2. Division |
| Oct 24, 2018 | Energosbyt-BSATU(away) | 1-6 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2018 | Kletsk(away) | 1-0 | 2. Division |
| Oct 21, 2018 | SMI Autotrans(away) | 3-3 | 2. Division |
| Oct 13, 2018 | Oshmyany(home) | 0-6 | 2. Division |
| Oct 6, 2018 | Ivatsevichi(away) | 3-2 | 2. Division |
| Sep 29, 2018 | Energosbyt-BSATU(home) | 3-2 | 2. Division |
What does the head-to-head say?
In the last meeting: 0 Bumprom wins, 0 draws, 1 Molodechno-DYuSSh 4 win.
| Date | Score | Competition |
|---|---|---|
| Jul 28, 2018 | Molodechno-DYuSSh 4 1-0 Bumprom | 2. Division |
Last archived meeting: Molodechno-DYuSSh 4 vs Bumprom on Jul 28, 2018
How many goals should we expect?
Bumprom score 0.5 and concede 3.7 goals per match over their last 15; Molodechno-DYuSSh 4 score 1.7 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bumprom | 0.5 | 3.7 | 0 | 5/15 | 12/15 |
| Molodechno-DYuSSh 4 | 1.7 | 2.1 | 5 | 7/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Bumprom vs Molodechno-DYuSSh 4?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy