Match

Racing Besançon vs Olympique St Quentin: result 0-3 and analysis

National 2 - Group DGroup D - 4Kick-off on September 16, 2023 at 04:00 PM (UTC)Stade Léo Lagrange, Besançon

Racing Besançon
0-3
Olympique St Quentin

Full time

What was the result of Racing Besançon vs Olympique St Quentin?

Olympique St Quentin won 0-3 on September 16, 2023.

Goalscorers

  • 27′F. StevanceOlympique St Quentin
  • 75′Y. SyllaOlympique St Quentin
  • 90′Y. SyllaOlympique St Quentin

What is the recent form of both teams?

Over their last 15 matches in all competitions, Racing Besançon have 8 wins, 4 draws and 3 defeats; Olympique St Quentin have 7, 2 and 6.

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

Racing Besançon
DateOpponentScoreCompetition
Sep 9, 2023Auxerre II(away)3-2National 2 - Group D
Sep 2, 2023Wasquehal(home)2-2National 2 - Group D
Aug 26, 2023Biesheim(away)0-1National 2 - Group D
Jun 4, 2022Montceau(away)3-0National 3 - Group E
May 28, 2022Sochaux II(home)0-0National 3 - Group E
Olympique St Quentin
DateOpponentScoreCompetition
Sep 9, 2023Creteil(home)1-1National 2 - Group D
Sep 2, 2023Colmar(away)3-2National 2 - Group D
Aug 26, 2023Bourg-en-bresse 01(home)0-4National 2 - Group D
Jun 3, 2023Metz II(home)3-1National 2 - Group B
May 27, 2023Reims II(away)2-1National 2 - Group B

How many goals should we expect?

Racing Besançon score 1.7 and concede 1.0 goals per match over their last 15; Olympique St Quentin score 1.4 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Racing Besançon1.71.058/159/15
Olympique St Quentin1.41.7211/1510/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Racing Besançon sit 13th in National 2 - Group D (25 points from 26 matches) and Olympique St Quentin sit 14th (24 points from 26 matches).

2023-24 standings
#ClubPWDLGFGAPts
13Racing Besançon266713263425
14Olympique St Quentin266614376124

How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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