Match

Rogba Tataouine vs AS Kasserine: result 2-7 and analysis

Ligue 2Regular Season - 25Kick-off on May 16, 2025 at 03:00 PM (UTC)Stade Néjib Khattab, Tataouine

Rogba Tataouine
2-7
AS Kasserine

Full time

What was the result of Rogba Tataouine vs AS Kasserine?

AS Kasserine won 2-7 on May 16, 2025.

Goalscorers

  • 17′?Rogba Tataouine
  • 29′?AS Kasserine
  • 34′?AS Kasserine
  • 38′?Rogba Tataouine (pen.)
  • 38′?AS Kasserine
  • 54′?AS Kasserine
  • 58′?AS Kasserine
  • 76′?AS Kasserine
  • 81′?AS Kasserine

What is the recent form of both teams?

Over their last 15 matches in all competitions, Rogba Tataouine have 2 wins, 2 draws and 11 defeats; AS Kasserine have 7, 4 and 4.

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

Rogba Tataouine
DateOpponentScoreCompetition
May 10, 2025JS Kairouanaise(away)1-3Ligue 2
May 5, 2025Sfax Railways(home)0-1Ligue 2
Apr 26, 2025Redeyef(away)0-3Ligue 2
Apr 19, 2025Progrès Sakiet Eddaïer(home)1-5Ligue 2
Apr 12, 2025Kerkennah(away)0-2Ligue 2
AS Kasserine
DateOpponentScoreCompetition
May 10, 2025Baath Bouhajla(home)1-0Ligue 2
May 5, 2025Stade Gabesien(away)3-2Ligue 2
Apr 30, 2025Djelma(home)1-0Ligue 2
Apr 20, 2025Jerba(away)0-1Ligue 2
Apr 16, 2025ES Tunis(away)0-6Cup

What does the head-to-head say?

In the last meeting: 0 Rogba Tataouine wins, 0 draws, 1 AS Kasserine win.

DateScoreCompetition
Dec 29, 2024AS Kasserine 1-0 Rogba TataouineLigue 2

Last archived meeting: AS Kasserine vs Rogba Tataouine on Dec 29, 2024

How many goals should we expect?

Rogba Tataouine score 0.7 and concede 2.1 goals per match over their last 15; AS Kasserine score 1.3 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Rogba Tataouine0.72.115/156/15
AS Kasserine1.31.093/155/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
1AS Kasserine760112518

A question about Rogba Tataouine vs AS Kasserine?

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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