Sibir vs TOM Tomsk: result 1-0 and analysis
First LeagueRegular Season - 33Kick-off on April 24, 2019 at 12:00 PM (UTC)Stadion Spartak, Novosibirsk
Full time
What was the result of Sibir vs TOM Tomsk?
Sibir won 1-0 on April 24, 2019.
Goalscorers
- 28′A. KorzhunovSibir
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sibir have 2 wins, 6 draws and 7 defeats; TOM Tomsk have 5, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2019 | Baltika(away) | 1-1 | First League |
| Apr 13, 2019 | Luch-Energiya(home) | 0-0 | First League |
| Apr 7, 2019 | Zenit 2(away) | 2-2 | First League |
| Mar 30, 2019 | Chertanovo Moscow(home) | 1-2 | First League |
| Mar 24, 2019 | Rotor Volgograd(away) | 0-2 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2019 | Luch-Energiya(home) | 0-0 | First League |
| Apr 13, 2019 | Chertanovo Moscow(away) | 1-1 | First League |
| Apr 7, 2019 | Tambov(home) | 1-1 | First League |
| Mar 30, 2019 | Tyumen(away) | 2-1 | First League |
| Mar 24, 2019 | Mordovia Saransk(home) | 1-0 | First League |
What does the head-to-head say?
Across the last 3 meetings: 1 Sibir win, 2 draws, 0 TOM Tomsk wins.
| Date | Score | Competition |
|---|---|---|
| Oct 6, 2018 | TOM Tomsk 1-1 Sibir | First League |
| Mar 24, 2018 | TOM Tomsk 1-1 Sibir | First League |
| Sep 2, 2017 | Sibir 1-0 TOM Tomsk | First League |
How many goals should we expect?
Sibir score 0.9 and concede 1.3 goals per match over their last 15; TOM Tomsk score 0.8 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sibir | 0.9 | 1.3 | 4 | 7/15 | 5/15 |
| TOM Tomsk | 0.8 | 0.5 | 8 | 5/15 | 2/15 |
Over the last 15 matches in all competitions.
A question about Sibir vs TOM Tomsk?
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