Mordovia Saransk vs Nizhny Novgorod: result 2-2 and analysis
First LeagueRegular Season - 1Kick-off on July 17, 2018 at 03:00 PM (UTC)Mordovia Arena, Saransk
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What was the result of Mordovia Saransk vs Nizhny Novgorod?
Mordovia Saransk and Nizhny Novgorod drew 2-2 on July 17, 2018.
Goalscorers
- 12′Arkadi SimanovNizhny Novgorod
- 27′V. ObukhovMordovia Saransk
- 79′R. KhayrullovNizhny Novgorod
- 86′V. AdaevMordovia Saransk
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mordovia Saransk have 5 wins, 3 draws and 7 defeats; Nizhny Novgorod have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2017 | Luch-Energiya(home) | 1-1 | First League |
| May 14, 2017 | Spartak Nalchik(away) | 3-1 | First League |
| May 10, 2017 | Volgar Astrakhan(home) | 3-0 | First League |
| May 6, 2017 | Zenit 2(away) | 1-3 | First League |
| Apr 29, 2017 | Baltika(home) | 0-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2018 | Avangard Kursk(away) | 3-2 | First League |
| May 6, 2018 | Luch-Energiya(home) | 1-0 | First League |
| May 2, 2018 | Kuban(away) | 0-0 | First League |
| Apr 28, 2018 | Rotor Volgograd(home) | 1-0 | First League |
| Apr 21, 2018 | Fakel(away) | 1-4 | First League |
How many goals should we expect?
Mordovia Saransk score 1.2 and concede 1.2 goals per match over their last 15; Nizhny Novgorod score 1.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mordovia Saransk | 1.2 | 1.2 | 6 | 7/15 | 7/15 |
| Nizhny Novgorod | 1.0 | 1.3 | 4 | 8/15 | 7/15 |
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 | 7 | 6 | 0 | 1 | 21 | 9 | 18 |
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