Fakel vs TOM Tomsk: result 0-0 and analysis
First LeagueRegular Season - 38Kick-off on May 25, 2019 at 12:00 PM (UTC)Central'nyi Stadion Profsoyuzov, Voronezh
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What was the result of Fakel vs TOM Tomsk?
Fakel and TOM Tomsk drew 0-0 on May 25, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fakel have 2 wins, 8 draws and 5 defeats; TOM Tomsk have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2019 | Luch-Energiya(away) | 0-1 | First League |
| May 11, 2019 | Chertanovo Moscow(home) | 1-1 | First League |
| May 4, 2019 | Tambov(away) | 0-0 | First League |
| Apr 28, 2019 | Tyumen(home) | 1-1 | First League |
| Apr 24, 2019 | Mordovia Saransk(away) | 1-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2019 | Spartak Moscow 2(home) | 2-1 | First League |
| May 11, 2019 | Shinnik Yaroslavl(away) | 0-1 | First League |
| May 4, 2019 | Avangard Kursk(home) | 1-0 | First League |
| Apr 28, 2019 | FC Sochi(away) | 1-3 | First League |
| Apr 24, 2019 | Sibir(away) | 0-1 | First League |
What does the head-to-head say?
Across the last 3 meetings: 0 Fakel win(s), 0 draw(s), 3 TOM Tomsk win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 17, 2018 | TOM Tomsk 2-0 Fakel | First League |
| May 2, 2018 | Fakel 0-1 TOM Tomsk | First League |
| Oct 14, 2017 | TOM Tomsk 1-0 Fakel | First League |
How many goals should we expect?
Fakel score 0.7 and concede 1.1 goals per match over their last 15; TOM Tomsk score 0.7 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fakel | 0.7 | 1.1 | 3 | 8/15 | 3/15 |
| TOM Tomsk | 0.7 | 0.8 | 6 | 6/15 | 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