Rubin vs Arsenal Tula: result 1-0 and analysis
Premier LeagueRegular Season - 16Kick-off on November 30, 2016 at 04:00 PM (UTC)Ak Bars Arena, Kazan'
Full time
What was the result of Rubin vs Arsenal Tula?
Rubin won 1-0 on November 30, 2016.
Goalscorers
- 62′JonathasRubin
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rubin have 5 wins, 5 draws and 5 defeats; Arsenal Tula have 1, 6 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 26, 2016 | CSKA Moscow(away) | 0-0 | Premier League |
| Nov 18, 2016 | FC Rostov(home) | 0-0 | Premier League |
| Nov 5, 2016 | FC UFA(away) | 3-2 | Premier League |
| Oct 31, 2016 | Lokomotiv(home) | 2-0 | Premier League |
| Oct 22, 2016 | Akhmat(away) | 1-3 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 26, 2016 | Amkar(away) | 0-1 | Premier League |
| Nov 18, 2016 | CSKA Moscow(home) | 0-1 | Premier League |
| Nov 6, 2016 | FC Rostov(away) | 1-4 | Premier League |
| Oct 30, 2016 | FC UFA(home) | 0-2 | Premier League |
| Oct 21, 2016 | Krylia Sovetov(away) | 1-1 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 0 Rubin win(s), 0 draw(s), 1 Arsenal Tula win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 6, 2016 | Arsenal Tula 1-0 Rubin | Premier League |
How many goals should we expect?
Rubin score 1.2 and concede 1.1 goals per match over their last 15; Arsenal Tula score 0.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rubin | 1.2 | 1.1 | 5 | 8/15 | 7/15 |
| Arsenal Tula | 0.3 | 1.5 | 4 | 4/15 | 3/15 |
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