US Rumelange vs Jeunesse Canach: result 1-1 and analysis
National DivisionRegular Season - 9Kick-off on October 19, 2013 at 02:30 PM (UTC)Stade Municipal, Rumelange
Full time
What was the result of US Rumelange vs Jeunesse Canach?
US Rumelange and Jeunesse Canach drew 1-1 on October 19, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, US Rumelange have 5 wins, 3 draws and 7 defeats; Jeunesse Canach have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2013 | Racing FC Union Luxembourg(away) | 0-0 | National Division |
| Sep 29, 2013 | FC Differdange 03(home) | 1-0 | National Division |
| Sep 22, 2013 | Grevenmacher(away) | 2-2 | National Division |
| Sep 15, 2013 | F91 Dudelange(home) | 0-2 | National Division |
| Aug 25, 2013 | AS Jeunesse Esch(away) | 0-1 | National Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2013 | Progres Niederkorn(home) | 2-0 | National Division |
| Sep 29, 2013 | Etzella Ettelbruck(away) | 0-5 | National Division |
| Sep 22, 2013 | UN Kaerjeng 97(home) | 0-1 | National Division |
| Sep 15, 2013 | Fola Esch(away) | 1-1 | National Division |
| Aug 25, 2013 | Swift Hesperange(away) | 2-2 | National Division |
How many goals should we expect?
US Rumelange score 1.1 and concede 2.5 goals per match over their last 15; Jeunesse Canach score 1.0 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| US Rumelange | 1.1 | 2.5 | 4 | 8/15 | 8/15 |
| Jeunesse Canach | 1.0 | 1.4 | 3 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | US Rumelange | 12 | 3 | 2 | 7 | 17 | 32 | 11 |
A question about US Rumelange vs Jeunesse Canach?
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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