TOM Tomsk vs Sibir: result 1-1 and analysis
First LeagueRegular Season - 15Kick-off on October 6, 2018 at 10:00 AM (UTC)Stadion Trud, Tomsk
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What was the result of TOM Tomsk vs Sibir?
TOM Tomsk and Sibir drew 1-1 on October 6, 2018.
Goalscorers
- 73′Aydar LisinkovTOM Tomsk
- 85′Maksim VasiljevSibir
What is the recent form of both teams?
Over their last 15 matches in all competitions, TOM Tomsk have 9 wins, 4 draws and 2 defeats; Sibir have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2018 | Luch-Energiya(away) | 2-2 | First League |
| Sep 23, 2018 | Chertanovo Moscow(home) | 3-1 | First League |
| Sep 19, 2018 | Tambov(away) | 0-3 | First League |
| Sep 15, 2018 | Tyumen(home) | 1-0 | First League |
| Sep 8, 2018 | Mordovia Saransk(away) | 1-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2018 | Baltika(home) | 2-1 | First League |
| Sep 23, 2018 | Luch-Energiya(away) | 0-1 | First League |
| Sep 19, 2018 | Zenit 2(home) | 0-1 | First League |
| Sep 15, 2018 | Chertanovo Moscow(away) | 1-2 | First League |
| Sep 8, 2018 | Rotor Volgograd(home) | 1-1 | First League |
What does the head-to-head say?
Across the last 2 meetings: 0 TOM Tomsk wins, 1 draw, 1 Sibir win.
| Date | Score | Competition |
|---|---|---|
| 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?
TOM Tomsk score 1.7 and concede 0.9 goals per match over their last 15; Sibir score 0.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| TOM Tomsk | 1.7 | 0.9 | 7 | 6/15 | 6/15 |
| Sibir | 0.7 | 1.3 | 3 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about TOM Tomsk vs Sibir?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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