Tyumen vs Mordovia Saransk: result 2-1 and analysis
First LeagueRegular Season - 31Kick-off on April 12, 2017 at 01:00 PM (UTC)Stadion Geolog, Tyumen'
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What was the result of Tyumen vs Mordovia Saransk?
Tyumen won 2-1 on April 12, 2017.
Goalscorers
- 12′Pavel DeobaldMordovia Saransk
- 40′A. RyabokobylenkoTyumen
- 90′97742Tyumen
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tyumen have 5 wins, 7 draws and 3 defeats; Mordovia Saransk have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2017 | Sibir(away) | 2-1 | First League |
| Apr 1, 2017 | Khimki(home) | 1-1 | First League |
| Mar 26, 2017 | Ska-khabarovsk(away) | 0-1 | First League |
| Mar 22, 2017 | Spartak Nalchik(home) | 3-0 | First League |
| Mar 19, 2017 | Tambov(home) | 0-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2017 | Shinnik Yaroslavl(home) | 1-0 | First League |
| Apr 1, 2017 | FK Sokol Saratov(away) | 0-0 | First League |
| Mar 26, 2017 | Fakel(home) | 2-0 | First League |
| Mar 19, 2017 | Kuban(away) | 0-2 | First League |
| Mar 12, 2017 | FK Neftekhimik(home) | 1-0 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Tyumen win(s), 1 draw(s), 0 Mordovia Saransk win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 17, 2016 | Mordovia Saransk 1-1 Tyumen | First League |
Last archived meeting: Mordovia Saransk vs Tyumen on Sep 17, 2016
How many goals should we expect?
Tyumen score 1.3 and concede 1.0 goals per match over their last 15; Mordovia Saransk score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tyumen | 1.3 | 1.0 | 5 | 8/15 | 6/15 |
| Mordovia Saransk | 1.1 | 1.3 | 6 | 6/15 | 6/15 |
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