Nizhny Novgorod II vs Orenburg II: result 2-0 and analysis
Second League - Group 4Group 4 - 11Kick-off on June 22, 2024 at 03:00 PM (UTC)
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What was the result of Nizhny Novgorod II vs Orenburg II?
Nizhny Novgorod II won 2-0 on June 22, 2024.
Goalscorers
- 22′R. ChibanovNizhny Novgorod II
- 49′D. NikonorovNizhny Novgorod II
What is the recent form of both teams?
Over their last 10 matches in all competitions, Nizhny Novgorod II have 1 wins, 5 draws and 4 defeats; Orenburg II have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 15, 2024 | Akron II(away) | 0-2 | Second League - Group 4 |
| Jun 9, 2024 | Ural II(home) | 1-1 | Second League - Group 4 |
| Jun 1, 2024 | Dinamo Kirov(away) | 0-5 | Second League - Group 4 |
| May 25, 2024 | Rubin Kazan 2(home) | 0-0 | Second League - Group 4 |
| May 19, 2024 | Krylya Sovetov II(away) | 2-2 | Second League - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 15, 2024 | Dinamo Barnaul(home) | 3-2 | Second League - Group 4 |
| Jun 8, 2024 | Nosta(away) | 1-2 | Second League - Group 4 |
| Jun 2, 2024 | Sokol Kazan(home) | 5-6 | Second League - Group 4 |
| May 25, 2024 | Volna Nizhegorodskaya(away) | 2-5 | Second League - Group 4 |
| May 18, 2024 | Lada Tolyatti(home) | 1-1 | Second League - Group 4 |
How many goals should we expect?
Nizhny Novgorod II score 0.8 and concede 1.6 goals per match over their last 10; Orenburg II score 1.5 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nizhny Novgorod II | 0.8 | 1.6 | 1 | 5/10 | 4/10 |
| Orenburg II | 1.5 | 2.3 | 2 | 8/15 | 7/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Orenburg II | 22 | 6 | 8 | 8 | 31 | 35 | 26 |
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