US Monastirienne vs US Tataouine: result 4-0 and analysis
Ligue 1Regular Season - 12Kick-off on December 12, 2018 at 01:00 PM (UTC)Stade Mustapha Ben Jannet, Monastir
Full time
What was the result of US Monastirienne vs US Tataouine?
US Monastirienne won 4-0 on December 12, 2018.
Goalscorers
- 36′H. MessadiUS Monastirienne (pen.)
- 39′A. AmriUS Monastirienne
- 59′H. MessadiUS Monastirienne
- 69′H. MessadiUS Monastirienne
What is the recent form of both teams?
Over their last 15 matches in all competitions, US Monastirienne have 0 wins, 4 draws and 11 defeats; US Tataouine have 6, 7 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 8, 2018 | CA Bizertin(away) | 1-3 | Ligue 1 |
| Dec 2, 2018 | US Ben Guerdane(home) | 1-1 | Ligue 1 |
| Nov 28, 2018 | AS Gabes(away) | 0-0 | Ligue 1 |
| Nov 25, 2018 | ES Metlaoui(home) | 0-2 | Ligue 1 |
| Nov 21, 2018 | ES Tunis(away) | 0-1 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 9, 2018 | Stade Gabesien(home) | 2-1 | Ligue 1 |
| Dec 2, 2018 | Stade Tunisien(away) | 0-0 | Ligue 1 |
| Nov 25, 2018 | CS Hammam-Lif(away) | 2-1 | Ligue 1 |
| Nov 3, 2018 | ES Sahel(home) | 0-0 | Ligue 1 |
| Oct 27, 2018 | JS Kairouanaise(away) | 1-0 | Ligue 1 |
How many goals should we expect?
US Monastirienne score 0.7 and concede 1.7 goals per match over their last 15; US Tataouine score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| US Monastirienne | 0.7 | 1.7 | 1 | 9/15 | 6/15 |
| US Tataouine | 1.5 | 1.3 | 5 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | US Monastirienne | 6 | 3 | 3 | 0 | 8 | 5 | 12 |
A question about US Monastirienne vs US Tataouine?
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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