FC Krasnodar vs Fakel: result 2-2 and analysis
Premier LeagueRegular Season - 1Kick-off on July 17, 2022 at 05:00 PM (UTC)Stadion FK Krasnodar, Krasnodar
Full time
What was the result of FC Krasnodar vs Fakel?
FC Krasnodar and Fakel drew 2-2 on July 17, 2022.
Goalscorers
- 10′A. DashaevFakel
- 24′A. IonovFC Krasnodar
- 40′E. SpertsyanFC Krasnodar
- 49′R. AkbashevFakel
What is the recent form of both teams?
Over their last 15 matches in all competitions, FC Krasnodar have 9 wins, 3 draws and 3 defeats; Fakel have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 10, 2022 | FC Rostov(away) | 2-1 | Friendlies Clubs |
| Jul 3, 2022 | Forte Taganrog(home) | 2-1 | Friendlies Clubs |
| Jun 28, 2022 | FC Rostov(home) | 2-0 | Friendlies Clubs |
| May 21, 2022 | Akhmat(home) | 1-1 | Premier League |
| May 15, 2022 | CSKA Moscow(home) | 1-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 9, 2022 | Torpedo Moskva(away) | 2-1 | Friendlies Clubs |
| Jun 23, 2022 | FC Rostov(away) | 0-2 | Friendlies Clubs |
| May 21, 2022 | Baltika(away) | 1-0 | First League |
| May 15, 2022 | Metallurg Lipetsk(away) | 2-1 | First League |
| May 11, 2022 | KAMAZ(home) | 1-0 | First League |
How many goals should we expect?
FC Krasnodar score 1.3 and concede 0.9 goals per match over their last 15; Fakel score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Krasnodar | 1.3 | 0.9 | 4 | 9/15 | 6/15 |
| Fakel | 1.3 | 0.9 | 6 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
FC Krasnodar sit 1st in Premier League (15 points from 5 matches) and Fakel sit 15th (2 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | FC Krasnodar | 5 | 5 | 0 | 0 | 10 | 4 | 15 |
| 15 | Fakel | 5 | 0 | 2 | 3 | 3 | 6 | 2 |
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