Fréjus St-Raphaël vs Bobigny: result 1-2 and analysis
National 2 - Group CGroup C - 15Kick-off on January 16, 2026 at 06:30 PM (UTC)Stade Louis Hon, Saint-Raphaël
Full time
What was the result of Fréjus St-Raphaël vs Bobigny?
Bobigny won 1-2 on January 16, 2026.
Goalscorers
- 43′608147Bobigny
- 68′O. AbdeldjelilFréjus St-Raphaël
- 84′635540Bobigny
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fréjus St-Raphaël have 5 wins, 4 draws and 6 defeats; Bobigny have 2, 7 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 10, 2026 | Toulon(away) | 1-1 | National 2 - Group C |
| Dec 13, 2025 | Saint-Priest(away) | 3-3 | National 2 - Group C |
| Dec 6, 2025 | Rumilly Vallières(home) | 1-3 | National 2 - Group C |
| Nov 22, 2025 | Limonest(away) | 2-0 | National 2 - Group C |
| Nov 8, 2025 | Istres(home) | 3-4 | National 2 - Group C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 13, 2025 | Limonest(away) | 0-1 | National 2 - Group C |
| Dec 5, 2025 | Istres(home) | 1-1 | National 2 - Group C |
| Nov 21, 2025 | Andrézieux(away) | 1-3 | National 2 - Group C |
| Nov 7, 2025 | Cannes(home) | 0-1 | National 2 - Group C |
| Nov 1, 2025 | Hyères(away) | 0-0 | National 2 - Group C |
How many goals should we expect?
Fréjus St-Raphaël score 1.6 and concede 1.8 goals per match over their last 15; Bobigny score 0.6 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fréjus St-Raphaël | 1.6 | 1.8 | 1 | 11/15 | 10/15 |
| Bobigny | 0.6 | 1.1 | 5 | 6/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Fréjus St-Raphaël | 6 | 3 | 0 | 3 | 9 | 10 | 9 |
A question about Fréjus St-Raphaël vs Bobigny?
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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