Mordovia Saransk vs Fakel: result 2-0 and analysis
First LeagueRegular Season - 28Kick-off on March 26, 2017 at 03:00 PM (UTC)Mordovia Arena, Saransk
Full time
What was the result of Mordovia Saransk vs Fakel?
Mordovia Saransk won 2-0 on March 26, 2017.
Goalscorers
- 10′I. PetrovMordovia Saransk
- 50′E. OsipovMordovia Saransk
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mordovia Saransk have 4 wins, 3 draws and 8 defeats; Fakel have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 19, 2017 | Kuban(away) | 0-2 | First League |
| Mar 12, 2017 | FK Neftekhimik(home) | 1-0 | First League |
| Mar 8, 2017 | Sibir(home) | 0-0 | First League |
| Nov 26, 2016 | Khimki(away) | 3-4 | First League |
| Nov 19, 2016 | Ska-khabarovsk(home) | 0-2 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 19, 2017 | Sibir(home) | 2-0 | First League |
| Mar 12, 2017 | Khimki(away) | 0-0 | First League |
| Mar 8, 2017 | Ska-khabarovsk(home) | 0-0 | First League |
| Nov 25, 2016 | Tambov(away) | 0-4 | First League |
| Nov 19, 2016 | FC Tosno(home) | 0-0 | First League |
What does the head-to-head say?
Across the last 1 meetings: 1 Mordovia Saransk win(s), 0 draw(s), 0 Fakel win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 28, 2016 | Fakel 1-2 Mordovia Saransk | First League |
Last archived meeting: Fakel vs Mordovia Saransk on Aug 28, 2016
How many goals should we expect?
Mordovia Saransk score 0.9 and concede 1.7 goals per match over their last 15; Fakel score 0.7 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mordovia Saransk | 0.9 | 1.7 | 3 | 7/15 | 7/15 |
| Fakel | 0.7 | 0.8 | 8 | 3/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 2 | Fakel | 34 | 20 | 8 | 6 | 44 | 22 | 68 |
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