Salyut-Belgorod vs Fakel: result 1-3 and analysis
Cup4th RoundKick-off on August 21, 2019 at 03:30 PM (UTC)Stadion Salyut Belgorod, Belgorod
Full time
What was the result of Salyut-Belgorod vs Fakel?
Fakel won 1-3 on August 21, 2019.
Goalscorers
- 12′I. MolteninovSalyut-Belgorod (pen.)
- 21′Pavel YakovlevFakel
- 80′Ilya MazurovFakel
- 90′Roman VorobjevFakel
Official lineup for Salyut-Belgorod vs Fakel
The starting elevens fielded at kick-off.
Salyut-Belgorod
- DD. Degtev
- AA. Ageev
- II. Molteninov
- RR. Yamlikhanov
- NNikita Chunikhin
- KK. Basov
- SS. Butyrin
- AA. Shtypula
- DD. Mironenko
- AA. Ivanteev
- AA. Tsygulev
Fakel
- PPavel Yakovlev
- RR. Koryan
- MMikhail Petrusev
- RRoman Kosyanchuk
- TT. Bukia
- IIlya Mazurov
- II. Khaymanov
- AAleksandr Likhachev
- OO. Krasilnichenko
- AA. Gladyshev
- DD. Ermakov
What is the recent form of both teams?
Over their last 2 matches in all competitions, Salyut-Belgorod have 1 win, 1 draw and 0 defeats; Fakel have 1, 7 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2019 | Kaluga(away) | 6-6 | Cup |
| Jul 28, 2019 | Metallurg Lipetsk(home) | 3-2 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 18, 2019 | Luch-Energiya(away) | 0-3 | First League |
| Aug 14, 2019 | FC Armavir(home) | 0-2 | First League |
| Aug 10, 2019 | Nizhny Novgorod(away) | 1-2 | First League |
| Aug 3, 2019 | Mordovia Saransk(home) | 2-1 | First League |
| Jul 28, 2019 | Ska-khabarovsk(away) | 0-1 | First League |
How many goals should we expect?
Salyut-Belgorod score 4.5 and concede 4.0 goals per match over their last 2; Fakel score 0.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Salyut-Belgorod | 4.5 | 4.0 | 0 | 2/2 | 2/2 |
| Fakel | 0.5 | 1.1 | 4 | 6/15 | 4/15 |
Over the last 2 matches in all competitions.
A question about Salyut-Belgorod vs Fakel?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy