Match

CS Chebba vs US Tataouine: result 0-0 and analysis

Ligue 1Regular Season - 8Kick-off on November 10, 2019 at 01:00 PM (UTC)Stade Municipal De La Chebba, Chebba

CS Chebba
0-0
US Tataouine

Full time

What was the result of CS Chebba vs US Tataouine?

CS Chebba and US Tataouine drew 0-0 on November 10, 2019.

Official lineup for CS Chebba vs US Tataouine

The starting elevens fielded at kick-off.

CS Chebba

  1. JJ. Abdessalam
  2. CCedric Apoko
  1. WW. Ben Haj Frej
  2. SSafouen Ben Salem
  3. SSérge Seko Atsou
  4. GG. Maaroufi
  5. NN. Gara
  1. AA. Zouaghi
  2. MM. Madani
  3. CC. Derouiche
  1. NN. Ben Thabet

US Tataouine

  1. II. Diakité
  2. JJunior Makiese Mouzita
  3. RR. Kamergi
  1. HHaytham Mohamadi
  2. KKouni Khalfa
  3. MM. Messeie
  4. WW. Zaghdoud
  5. WWael Oueslati
  1. MMahmood Bher
  2. HHadi Khalfa
  1. KKhemais Thamri
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What is the recent form of both teams?

Over their last 13 matches in all competitions, CS Chebba have 7 wins, 1 draw and 5 defeats; US Tataouine have 1, 4 and 10.

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

CS Chebba
DateOpponentScoreCompetition
Nov 6, 2019ES Sahel(home)1-2Ligue 1
Nov 2, 2019JS Kairouanaise(away)3-1Ligue 1
Oct 27, 2019ES Metlaoui(home)2-0Ligue 1
Oct 23, 2019US Monastirienne(away)0-2Ligue 1
Sep 29, 2019CS Hammam-Lif(away)2-1Ligue 1
US Tataouine
DateOpponentScoreCompetition
Nov 3, 2019Club Africain(home)0-2Ligue 1
Oct 27, 2019Stade Tunisien(away)0-2Ligue 1
Oct 24, 2019ES Sahel(home)0-1Ligue 1
Oct 2, 2019CS Sfaxien(away)0-1Ligue 1
Sep 24, 2019US Ben Guerdane(home)0-1Ligue 1

How many goals should we expect?

CS Chebba score 1.6 and concede 1.3 goals per match over their last 13; US Tataouine score 0.8 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
CS Chebba1.61.338/139/13
US Tataouine0.81.717/155/15

Over the last 13 matches in all competitions.

A question about CS Chebba vs US Tataouine?

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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