Vertykal vs Kletsk: result 2-3 and analysis
2. DivisionRegular Season - 11Kick-off on July 23, 2016 at 02:00 PM (UTC)Stadyen SDYuShOR-2, Kalinkavichy
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What was the result of Vertykal vs Kletsk?
Kletsk won 2-3 on July 23, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vertykal have 9 wins, 0 draws and 6 defeats; Kletsk have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 16, 2016 | ML Vitebsk(away) | 3-0 | 2. Division |
| Jul 9, 2016 | YuA-Stroy-DYuSSh(home) | 5-0 | 2. Division |
| Jul 2, 2016 | Torpedo Mogilev(away) | 3-2 | 2. Division |
| Jun 25, 2016 | Victoria Maryina Gorka(home) | 3-1 | 2. Division |
| Jun 19, 2016 | Zabudova-2007(away) | 1-2 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 16, 2016 | Volna(home) | 0-4 | 2. Division |
| Jul 10, 2016 | Dyussh-DSK(away) | 3-0 | 2. Division |
| Jul 2, 2016 | Neman-Agro(home) | 3-3 | 2. Division |
| Jun 25, 2016 | Montazhnik(home) | 5-1 | 2. Division |
| Jun 18, 2016 | ML Vitebsk(away) | 4-0 | 2. Division |
What does the head-to-head say?
Across the last 2 meetings: 0 Vertykal wins, 0 draws, 2 Kletsk wins.
| Date | Score | Competition |
|---|---|---|
| Aug 23, 2015 | Vertykal 0-1 Kletsk | 2. Division |
| Jun 6, 2015 | Kletsk 5-0 Vertykal | 2. Division |
How many goals should we expect?
Vertykal score 2.1 and concede 1.4 goals per match over their last 15; Kletsk score 2.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vertykal | 2.1 | 1.4 | 5 | 8/15 | 12/15 |
| Kletsk | 2.1 | 1.1 | 7 | 6/15 | 10/15 |
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 Kletsk?
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