Match

Grasse vs Rousset-Ste Victoire: result 3-1 and analysis

National 2 - Group CGroup C - 8Kick-off on October 18, 2025 at 02:00 PM (UTC)Stades de la Paoute, Grasse

Grasse
3-1
Rousset-Ste Victoire

Full time

What was the result of Grasse vs Rousset-Ste Victoire?

Grasse won 3-1 on October 18, 2025.

Goalscorers

  • 3′M. KebeGrasse
  • 17′M. KebeGrasse
  • 64′582754Rousset-Ste Victoire
  • 90′582755Grasse

What is the recent form of both teams?

Over their last 15 matches in all competitions, Grasse have 4 wins, 5 draws and 6 defeats; Rousset-Ste Victoire have 6, 3 and 6.

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

Grasse
DateOpponentScoreCompetition
Oct 4, 2025Chasselay MDA(away)2-3National 2 - Group C
Sep 20, 2025Nimes(home)0-0National 2 - Group C
Sep 12, 2025Creteil(away)2-0National 2 - Group C
Sep 6, 2025Saint-Priest(home)3-4National 2 - Group C
Aug 30, 2025Bobigny(home)0-0National 2 - Group C
Rousset-Ste Victoire
DateOpponentScoreCompetition
Oct 4, 2025Bobigny(home)0-0National 2 - Group C
Sep 20, 2025Toulon(away)1-1National 2 - Group C
Sep 13, 2025Fréjus St-Raphaël(home)2-2National 2 - Group C
Sep 6, 2025Rumilly Vallières(away)0-1National 2 - Group C
Aug 30, 2025Limonest(home)2-1National 2 - Group C

How many goals should we expect?

Grasse score 1.2 and concede 1.4 goals per match over their last 15; Rousset-Ste Victoire score 1.5 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Grasse1.21.458/157/15
Rousset-Ste Victoire1.51.746/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Grasse sit 10th in National 2 - Group C (36 points from 30 matches) and Rousset-Ste Victoire sit 16th (12 points from 30 matches).

2025-26 standings
#ClubPWDLGFGAPts
10Grasse309912414236
16Rousset-Ste Victoire302622287612

A question about Grasse vs Rousset-Ste Victoire?

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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