SKVICH vs Vertykal: result 1-3 and analysis
2. DivisionGroup A - 20Kick-off on September 6, 2014 at 03:00 PM (UTC)Stadyen RTsOP-BGU, Minsk
Full time
What was the result of SKVICH vs Vertykal?
Vertykal won 1-3 on September 6, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, SKVICH have 1 win, 2 draws and 12 defeats; Vertykal have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2014 | Fc Luch Minsk(away) | 0-2 | 2. Division |
| Aug 23, 2014 | Slavianin(away) | 3-3 | 2. Division |
| Aug 17, 2014 | Feniks(home) | 0-5 | 2. Division |
| Aug 10, 2014 | Zhlobin(away) | 0-7 | 2. Division |
| Aug 2, 2014 | ML Vitebsk(home) | 2-9 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2014 | Feniks(home) | 0-0 | 2. Division |
| Aug 24, 2014 | Zhlobin(home) | 1-7 | 2. Division |
| Aug 17, 2014 | ML Vitebsk(home) | 2-3 | 2. Division |
| Aug 10, 2014 | Spartak(away) | 1-0 | 2. Division |
| Aug 3, 2014 | Orsha(home) | 1-1 | 2. Division |
What does the head-to-head say?
In the last meeting: 0 SKVICH wins, 0 draws, 1 Vertykal win.
| Date | Score | Competition |
|---|---|---|
| Jun 29, 2014 | Vertykal 3-2 SKVICH | 2. Division |
How many goals should we expect?
SKVICH score 1.0 and concede 3.5 goals per match over their last 15; Vertykal score 0.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SKVICH | 1.0 | 3.5 | 1 | 8/15 | 13/15 |
| Vertykal | 0.7 | 1.9 | 4 | 5/15 | 6/15 |
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 SKVICH vs Vertykal?
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