Vertykal vs Kolos-Druzhba: result 2-2 and analysis
2. Division2nd Stage - FinalsKick-off on September 27, 2014 at 11:00 AM (UTC)Stadyen Junatstva, Kobrin
Full time
What was the result of Vertykal vs Kolos-Druzhba?
Vertykal and Kolos-Druzhba drew 2-2 on September 27, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vertykal have 4 wins, 3 draws and 8 defeats; Kolos-Druzhba have 3, 0 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2014 | Slavianin(home) | 2-3 | 2. Division |
| Sep 14, 2014 | Fc Luch Minsk(home) | 1-1 | 2. Division |
| Sep 6, 2014 | SKVICH(away) | 3-1 | 2. Division |
| Aug 31, 2014 | Feniks(home) | 0-0 | 2. Division |
| Aug 24, 2014 | Zhlobin(home) | 1-7 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2014 | Uzda(away) | 2-1 | 2. Division |
| Sep 13, 2014 | Kletsk(home) | 3-2 | 2. Division |
| Sep 6, 2014 | Livadyya(away) | 2-3 | 2. Division |
| Aug 31, 2014 | Baranovichi(home) | 2-4 | 2. Division |
| Aug 24, 2014 | Neman Mosty(away) | 2-3 | 2. Division |
How many goals should we expect?
Vertykal score 1.1 and concede 1.7 goals per match over their last 15; Kolos-Druzhba score 1.2 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vertykal | 1.1 | 1.7 | 3 | 8/15 | 7/15 |
| Kolos-Druzhba | 1.2 | 2.6 | 1 | 9/15 | 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 Kolos-Druzhba?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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