TOM Tomsk vs Rubin: result 2-2 and analysis
Premier LeagueRegular Season - 22Kick-off on April 10, 2017 at 12:00 PM (UTC)Stadion Trud, Tomsk
Full time
What was the result of TOM Tomsk vs Rubin?
TOM Tomsk and Rubin drew 2-2 on April 10, 2017.
Goalscorers
- 13′A. PuginTOM Tomsk
- 47′M. LestienneRubin (pen.)
- 79′M. LestienneRubin
- 83′A. SobolevTOM Tomsk
What is the recent form of both teams?
Over their last 15 matches in all competitions, TOM Tomsk have 2 wins, 2 draws and 11 defeats; Rubin have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2017 | Arsenal Tula(away) | 0-3 | Premier League |
| Mar 18, 2017 | Amkar(home) | 1-0 | Premier League |
| Mar 11, 2017 | CSKA Moscow(away) | 0-4 | Premier League |
| Mar 3, 2017 | FC Rostov(home) | 0-6 | Premier League |
| Dec 5, 2016 | FC UFA(away) | 0-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2017 | Zenit(home) | 0-2 | Premier League |
| Mar 18, 2017 | Ural(away) | 0-1 | Premier League |
| Mar 11, 2017 | FC Orenburg(home) | 0-0 | Premier League |
| Mar 6, 2017 | Anzhi(away) | 1-0 | Premier League |
| Dec 5, 2016 | Spartak Moscow(away) | 1-2 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 0 TOM Tomsk win(s), 0 draw(s), 1 Rubin win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 26, 2016 | Rubin 2-1 TOM Tomsk | Premier League |
How many goals should we expect?
TOM Tomsk score 0.4 and concede 2.3 goals per match over their last 15; Rubin score 1.0 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| TOM Tomsk | 0.4 | 2.3 | 3 | 4/15 | 8/15 |
| Rubin | 1.0 | 1.1 | 7 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Rubin | 4 | 1 | 2 | 1 | 5 | 6 | 5 |
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