Slonim vs Bumprom: result 2-2 and analysis
1. DivisionRegular Season - 7Kick-off on May 14, 2023 at 10:00 AM (UTC)Stadyen Yunatstva, Slonim
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What was the result of Slonim vs Bumprom?
Slonim and Bumprom drew 2-2 on May 14, 2023.
Goalscorers
- 51′D. KhalimonchikovBumprom
- 53′A. ZhevnerenkoBumprom
- 70′T. AnisimovSlonim
- 76′K. YakudiSlonim
What is the recent form of both teams?
Over their last 15 matches in all competitions, Slonim have 6 wins, 2 draws and 7 defeats; Bumprom have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2023 | Orsha(away) | 2-1 | 1. Division |
| Apr 30, 2023 | Osipovichy(home) | 4-1 | 1. Division |
| Apr 22, 2023 | Shakhtyor Petrikov(away) | 1-0 | 1. Division |
| Apr 14, 2023 | Molodechno-DYuSSh 4(home) | 1-1 | 1. Division |
| Apr 8, 2023 | Ostrovets FC(away) | 0-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2023 | Baranovichi(home) | 0-2 | 1. Division |
| Apr 30, 2023 | Lokomotiv Gomel(away) | 0-4 | 1. Division |
| Apr 23, 2023 | Arsenal(home) | 1-2 | 1. Division |
| Apr 14, 2023 | Lida(away) | 1-4 | 1. Division |
| Apr 8, 2023 | FC Dnepr Mogilev(home) | 1-1 | 1. Division |
How many goals should we expect?
Slonim score 1.5 and concede 1.8 goals per match over their last 15; Bumprom score 4.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Slonim | 1.5 | 1.8 | 2 | 8/15 | 8/15 |
| Bumprom | 4.9 | 1.3 | 5 | 5/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Slonim sit 5th in 1. Division (36 points from 21 matches) and Bumprom sit 7th (34 points from 21 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Bumprom | 12 | 7 | 2 | 3 | 27 | 15 | 23 |
| 4 | Slonim | 12 | 7 | 2 | 3 | 21 | 10 | 23 |
| 5 | Slonim | 21 | 11 | 3 | 7 | 39 | 26 | 36 |
| 7 | Bumprom | 21 | 10 | 4 | 7 | 40 | 29 | 34 |
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