US Monastirienne vs ES Metlaoui: result 1-2 and analysis
Ligue 1Matchday 4Kick-off on November 3, 2013 at 01:30 PM (UTC)Stade du 7 Novembre, Gafsa
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What was the result of US Monastirienne vs ES Metlaoui?
ES Metlaoui won 1-2 on November 3, 2013.
Goalscorers
- 45′Wael SammoudUS Monastirienne
- 54′A. NajarES Metlaoui
- 62′I. MinyeouiES Metlaoui
What is the recent form of both teams?
Over their last 15 matches in all competitions, US Monastirienne have 4 wins, 7 draws and 4 defeats; ES Metlaoui have 0, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2013 | Stade Tunisien(away) | 0-2 | Ligue 1 |
| Sep 29, 2013 | Grombalia Sports(home) | 1-1 | Ligue 1 |
| Sep 26, 2013 | ES Sahel(away) | 0-3 | Ligue 1 |
| Apr 14, 2013 | CS Hammam-Lif(home) | 2-1 | Ligue 1 |
| Mar 30, 2013 | ES Sahel(away) | 0-0 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2013 | EGS Gafsa(home) | 0-0 | Ligue 1 |
| Sep 29, 2013 | Stade Gabesien(away) | 0-2 | Ligue 1 |
| Sep 15, 2013 | LPS Tozeur(home) | 1-1 | Ligue 1 |
How many goals should we expect?
US Monastirienne score 1.1 and concede 1.1 goals per match over their last 15; ES Metlaoui score 0.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| US Monastirienne | 1.1 | 1.1 | 4 | 9/15 | 6/15 |
| ES Metlaoui | 0.3 | 1.0 | 1 | 1/3 | 0/3 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
US Monastirienne sit 5th in Ligue 1 (12 points from 7 matches) and ES Metlaoui sit 12th (6 points from 7 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | US Monastirienne | 7 | 3 | 3 | 1 | 8 | 6 | 12 |
| 12 | ES Metlaoui | 7 | 2 | 0 | 5 | 5 | 10 | 6 |
A question about US Monastirienne vs ES Metlaoui?
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