Chertanovo Moscow vs FK Neftekhimik: result 2-2 and analysis
First LeagueRegular Season - 12Kick-off on September 7, 2019 at 12:00 PM (UTC)Sportivnyj gorodok Luzhniki, Moskva
Full time
What was the result of Chertanovo Moscow vs FK Neftekhimik?
Chertanovo Moscow and FK Neftekhimik drew 2-2 on September 7, 2019.
Goalscorers
- 9′D. KhubaevFK Neftekhimik
- 19′L. GerchikovChertanovo Moscow
- 78′M. UridiaFK Neftekhimik
- 84′D. TsypchenkoChertanovo Moscow
What is the recent form of both teams?
Over their last 15 matches in all competitions, Chertanovo Moscow have 8 wins, 6 draws and 1 defeats; FK Neftekhimik have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2019 | Nizhny Novgorod(away) | 0-0 | First League |
| Aug 25, 2019 | TOM Tomsk(home) | 1-1 | First League |
| Aug 21, 2019 | Ryazan(away) | 4-1 | Cup |
| Aug 18, 2019 | Mordovia Saransk(away) | 3-2 | First League |
| Aug 14, 2019 | Krasnodar 2(home) | 1-2 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2019 | TOM Tomsk(away) | 1-0 | First League |
| Aug 25, 2019 | Krasnodar 2(home) | 1-0 | First League |
| Aug 21, 2019 | KAMAZ(away) | 0-2 | Cup |
| Aug 18, 2019 | Khimki(away) | 2-3 | First League |
| Aug 14, 2019 | Rotor Volgograd(home) | 1-2 | First League |
How many goals should we expect?
Chertanovo Moscow score 1.3 and concede 0.7 goals per match over their last 15; FK Neftekhimik score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chertanovo Moscow | 1.3 | 0.7 | 6 | 9/15 | 7/15 |
| FK Neftekhimik | 0.9 | 1.3 | 4 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 16 | FK Neftekhimik | 7 | 2 | 0 | 5 | 4 | 12 | 6 |
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