Baltika vs Mordovia Saransk: result 1-0 and analysis
First LeagueRegular Season - 19Kick-off on October 28, 2018 at 02:00 PM (UTC)Rostec Arena, Kaliningrad
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What was the result of Baltika vs Mordovia Saransk?
Baltika won 1-0 on October 28, 2018.
Goalscorers
- 25′K. PlievBaltika
What is the recent form of both teams?
Over their last 15 matches in all competitions, Baltika have 3 wins, 7 draws and 5 defeats; Mordovia Saransk have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 24, 2018 | Ska-khabarovsk(away) | 1-1 | First League |
| Oct 20, 2018 | Krasnodar 2(home) | 1-4 | First League |
| Oct 13, 2018 | FC Armavir(away) | 2-2 | First League |
| Oct 6, 2018 | Nizhny Novgorod(home) | 1-2 | First League |
| Sep 30, 2018 | Sibir(away) | 1-2 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 24, 2018 | Zenit 2(home) | 1-0 | First League |
| Oct 20, 2018 | Rotor Volgograd(away) | 1-1 | First League |
| Oct 13, 2018 | Khimki(home) | 1-1 | First League |
| Oct 6, 2018 | Fakel(away) | 2-1 | First League |
| Sep 30, 2018 | Spartak Moscow 2(home) | 0-1 | First League |
What does the head-to-head say?
Across the last 2 meetings: 1 Baltika win(s), 0 draw(s), 1 Mordovia Saransk win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 29, 2017 | Mordovia Saransk 0-1 Baltika | First League |
| Oct 8, 2016 | Baltika 1-2 Mordovia Saransk | First League |
Last archived meeting: Mordovia Saransk vs Baltika on Apr 29, 2017
How many goals should we expect?
Baltika score 1.2 and concede 1.5 goals per match over their last 15; Mordovia Saransk score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Baltika | 1.2 | 1.5 | 4 | 10/15 | 7/15 |
| Mordovia Saransk | 1.3 | 1.1 | 4 | 9/15 | 7/15 |
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