Zenit 2 vs Kuban: result 3-3 and analysis
First LeagueRegular Season - 13Kick-off on September 10, 2017 at 10:00 AM (UTC)Malaya Sportivnaya Arena, St. Petersburg
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What was the result of Zenit 2 vs Kuban?
Zenit 2 and Kuban drew 3-3 on September 10, 2017.
Goalscorers
- 5′Aleksandr ElovskikhZenit 2
- 7′Olexiy GaiKuban
- 28′A. PanyukovZenit 2
- 69′V. GorulevKuban (o.g.)
- 72′D. PletnevZenit 2
- 90′V. ObukhovKuban
What is the recent form of both teams?
Over their last 15 matches in all competitions, Zenit 2 have 4 wins, 3 draws and 8 defeats; Kuban have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2017 | Rotor Volgograd(away) | 1-4 | First League |
| Sep 2, 2017 | Fakel(home) | 4-1 | First League |
| Aug 27, 2017 | Avangard Kursk(away) | 1-1 | First League |
| Aug 19, 2017 | Enisey(away) | 1-2 | First League |
| Aug 13, 2017 | Baltika(home) | 2-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2017 | Enisey(home) | 1-1 | First League |
| Sep 2, 2017 | Baltika(away) | 1-5 | First League |
| Aug 27, 2017 | Spartak Moscow 2(home) | 2-3 | First League |
| Aug 19, 2017 | Tambov(away) | 1-2 | First League |
| Aug 13, 2017 | FC Orenburg(home) | 4-1 | First League |
What does the head-to-head say?
Across the last 2 meetings: 0 Zenit 2 win(s), 0 draw(s), 2 Kuban win(s).
| Date | Score | Competition |
|---|---|---|
| May 10, 2017 | Kuban 3-0 Zenit 2 | First League |
| Oct 22, 2016 | Zenit 2 0-4 Kuban | First League |
How many goals should we expect?
Zenit 2 score 1.3 and concede 1.5 goals per match over their last 15; Kuban score 1.6 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zenit 2 | 1.3 | 1.5 | 2 | 9/15 | 9/15 |
| Kuban | 1.6 | 1.7 | 2 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
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