FC Tosno vs FK Neftekhimik: result 4-2 and analysis
First LeagueRegular Season - 17Kick-off on October 15, 2016 at 01:00 PM (UTC)Stadion Petrovskiy, St. Petersburg
Full time
What was the result of FC Tosno vs FK Neftekhimik?
FC Tosno won 4-2 on October 15, 2016.
Goalscorers
- 35′E. MarkovFC Tosno
- 50′E. MarkovFC Tosno
- 74′Andriy KivaFK Neftekhimik
- 81′V. GaliulinFC Tosno
- 85′Aleksandr KutjinFC Tosno
- 87′97778FK Neftekhimik
What is the recent form of both teams?
Over their last 15 matches in all competitions, FC Tosno have 9 wins, 4 draws and 2 defeats; FK Neftekhimik have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2016 | Spartak Moscow 2(away) | 3-1 | First League |
| Oct 2, 2016 | Luch-Energiya(home) | 1-2 | First League |
| Sep 26, 2016 | Spartak Nalchik(away) | 1-1 | First League |
| Sep 17, 2016 | Volgar Astrakhan(home) | 3-0 | First League |
| Sep 10, 2016 | Zenit 2(away) | 1-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2016 | Shinnik Yaroslavl(home) | 1-2 | First League |
| Oct 2, 2016 | Spartak Moscow 2(away) | 0-0 | First League |
| Sep 26, 2016 | FK Sokol Saratov(home) | 2-2 | First League |
| Sep 17, 2016 | Luch-Energiya(away) | 0-1 | First League |
| Sep 10, 2016 | Fakel(home) | 1-2 | First League |
How many goals should we expect?
FC Tosno score 1.7 and concede 0.8 goals per match over their last 15; FK Neftekhimik score 0.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Tosno | 1.7 | 0.8 | 5 | 10/15 | 8/15 |
| FK Neftekhimik | 0.8 | 1.5 | 5 | 7/15 | 8/15 |
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