Vertykal vs Khimik Svetlogorsk: result 4-2 and analysis
2. DivisionGomel Region - 5Kick-off on June 5, 2021 at 11:00 AM (UTC)Stadyen SDYuShOR-2, Kalinkavichy
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What was the result of Vertykal vs Khimik Svetlogorsk?
Vertykal won 4-2 on June 5, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vertykal have 4 wins, 4 draws and 7 defeats; Khimik Svetlogorsk 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 |
|---|---|---|---|
| May 29, 2021 | Zhlobin(away) | 4-2 | 2. Division |
| May 22, 2021 | Bumprom(home) | 0-6 | 2. Division |
| May 16, 2021 | BC Maxline(away) | 1-8 | 2. Division |
| May 8, 2021 | Leskhoz(away) | 3-4 | Coppa |
| May 1, 2021 | Leskhoz(home) | 1-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 29, 2021 | Mozyr NPZ(home) | 0-0 | 2. Division |
| May 16, 2021 | Zhlobin(away) | 3-3 | 2. Division |
| May 1, 2021 | Bumprom(home) | 0-6 | 2. Division |
| Dec 5, 2020 | Molodechno-DYuSSh 4(away) | 4-0 | 1. Division |
| Nov 28, 2020 | Molodechno-DYuSSh 4(home) | 0-0 | 1. Division |
How many goals should we expect?
Vertykal score 1.7 and concede 2.3 goals per match over their last 15; Khimik Svetlogorsk score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vertykal | 1.7 | 2.3 | 3 | 10/15 | 9/15 |
| Khimik Svetlogorsk | 0.9 | 1.3 | 6 | 4/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Vertykal | 21 | 11 | 2 | 8 | 63 | 39 | 35 |
A question about Vertykal vs Khimik Svetlogorsk?
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