Krasnodar 2 vs Nizhny Novgorod: result 0-2 and analysis
First LeagueRegular Season - 18Kick-off on October 24, 2018 at 03:00 PM (UTC)Stadion Akademii FK Krasnodar, Krasnodar
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What was the result of Krasnodar 2 vs Nizhny Novgorod?
Nizhny Novgorod won 0-2 on October 24, 2018.
Goalscorers
- 30′A. DelkinNizhny Novgorod
- 64′A. AbramovNizhny Novgorod
What is the recent form of both teams?
Over their last 15 matches in all competitions, Krasnodar 2 have 8 wins, 4 draws and 3 defeats; Nizhny Novgorod have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2018 | Baltika(away) | 4-1 | First League |
| Oct 13, 2018 | Zenit 2(home) | 2-1 | First League |
| Oct 6, 2018 | Rotor Volgograd(away) | 0-1 | First League |
| Oct 1, 2018 | Khimki(home) | 4-2 | First League |
| Sep 23, 2018 | Fakel(away) | 0-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2018 | FC Armavir(home) | 1-0 | First League |
| Oct 13, 2018 | Sibir(away) | 0-0 | First League |
| Oct 6, 2018 | Baltika(away) | 2-1 | First League |
| Sep 30, 2018 | Zenit 2(home) | 1-0 | First League |
| Sep 23, 2018 | Rotor Volgograd(away) | 1-2 | First League |
How many goals should we expect?
Krasnodar 2 score 1.5 and concede 1.1 goals per match over their last 15; Nizhny Novgorod score 0.9 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Krasnodar 2 | 1.5 | 1.1 | 3 | 9/15 | 8/15 |
| Nizhny Novgorod | 0.9 | 0.6 | 7 | 5/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Nizhny Novgorod | 17 | 15 | 1 | 1 | 52 | 15 | 46 |
A question about Krasnodar 2 vs Nizhny Novgorod?
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