US Esch vs Rodange 91: result 0-2 and analysis
National DivisionRegular Season - 3Kick-off on August 20, 2017 at 02:00 PM (UTC)Stade Lankhelz, Esch-sur-Alzette
Full time
What was the result of US Esch vs Rodange 91?
Rodange 91 won 0-2 on August 20, 2017.
Goalscorers
- 29′Hakim MenaïRodange 91
- 42′230524Rodange 91
Official lineup for US Esch vs Rodange 91
The starting elevens fielded at kick-off.
US Esch
- AA. Medri
- LL. Gomes
- PPaulo Pinto
- AAhmed Rani
- AA. Guerra
- JJúnior Peixoto
- PP. Dione
- EEduardo Lopes
- RRicardo Vieira
- DDiogo Rocha
- HHélio Lopes
Rodange 91
- JJulien Hornuss
- HHakim Menaï
- GG. Tapé
- DD. Goedert
- HH. Ramdedović
- JJ. Planel
- GG. Yao
- JJ. Makasso
- RR. Boulahfari
- MM. De Sousa
- SSamuel Dog
What is the recent form of both teams?
Over their last 2 matches in all competitions, US Esch have 0 wins, 0 draws and 2 defeats; Rodange 91 have 1, 1 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 13, 2017 | RM Hamm Benfica(away) | 1-3 | National Division |
| Aug 6, 2017 | AS Jeunesse Esch(home) | 0-4 | National Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 14, 2017 | Union Titus Petange(home) | 2-1 | National Division |
| Aug 5, 2017 | UNA Strassen(away) | 2-2 | National Division |
How many goals should we expect?
US Esch score 0.5 and concede 3.5 goals per match over their last 2; Rodange 91 score 2.0 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| US Esch | 0.5 | 3.5 | 0 | 1/2 | 2/2 |
| Rodange 91 | 2.0 | 1.5 | 0 | 2/2 | 2/2 |
Over the last 2 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Rodange 91 | 30 | 6 | 7 | 17 | 28 | 65 | 25 |
A question about US Esch vs Rodange 91?
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