Match

EGS Gafsa vs US Monastirienne: result 2-1 and analysis

Ligue 1Regular Season - 10Kick-off on February 24, 2013 at 01:00 PM (UTC)Stade du 7 Novembre, Gafsa

EGS Gafsa
2-1
US Monastirienne

Full time

What was the result of EGS Gafsa vs US Monastirienne?

EGS Gafsa won 2-1 on February 24, 2013.

Goalscorers

  • 14′Nizar GarboujEGS Gafsa
  • 57′M. NasriUS Monastirienne
  • 64′Nabil HamedEGS Gafsa (pen.)

What is the recent form of both teams?

Over their last 15 matches in all competitions, EGS Gafsa have 4 wins, 1 draw and 10 defeats; US Monastirienne have 6, 4 and 5.

The competition is shown for every match: in pre-season, several of these games are friendlies.

EGS Gafsa
DateOpponentScoreCompetition
Feb 20, 2013Stade Gabesien(home)1-0Ligue 1
Feb 17, 2013Stade Tunisien(away)0-1Ligue 1
Dec 23, 2012ES Hammam-Sousse(away)0-1Ligue 1
Dec 16, 2012CS Sfaxien(home)1-0Ligue 1
Dec 8, 2012CS Hammam-Lif(away)0-1Ligue 1
US Monastirienne
DateOpponentScoreCompetition
Feb 17, 2013ES Hammam-Sousse(home)1-2Ligue 1
Feb 12, 2013CS Sfaxien(away)1-1Ligue 1
Dec 23, 2012CS Hammam-Lif(away)1-0Ligue 1
Dec 16, 2012ES Sahel(home)4-1Ligue 1
Dec 9, 2012Stade Gabesien(away)1-1Ligue 1

What does the head-to-head say?

Across the last 3 meetings: 0 EGS Gafsa wins, 2 draws, 1 US Monastirienne win.

DateScoreCompetition
Nov 25, 2012US Monastirienne 3-0 EGS GafsaLigue 1
Jun 30, 2012US Monastirienne 0-0 EGS GafsaLigue 1
Mar 4, 2012EGS Gafsa 1-1 US MonastirienneLigue 1

Last archived meeting: US Monastirienne vs EGS Gafsa on Nov 25, 2012

How many goals should we expect?

EGS Gafsa score 0.7 and concede 1.5 goals per match over their last 15; US Monastirienne score 1.5 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
EGS Gafsa0.71.535/157/15
US Monastirienne1.51.157/155/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
4US Monastirienne63308512

A question about EGS Gafsa vs US Monastirienne?

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

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Next match: EGS Gafsa and US Monastirienne

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