Saint-Priest vs Chateauroux: prediction and stats
National 2 - Group CGroup C - 6Kick-off on October 3, 2026 at 04:00 PM (UTC)Stade Jacques Joly, Saint-Priest
What is the recent form of both teams?
Over their last 15 matches in all competitions, Saint-Priest have 2 wins, 5 draws and 8 defeats; Chateauroux have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2026 | Hyères(away) | 1-1 | National 2 - Group C |
| Sep 12, 2026 | Hauts Lyonnais(home) | 1-1 | National 2 - Group C |
| Sep 5, 2026 | Troyes II(away) | 1-3 | National 2 - Group C |
| Aug 29, 2026 | Lyon Duchere(home) | 2-1 | National 2 - Group C |
| Aug 22, 2026 | Fréjus St-Raphaël(away) | 0-3 | National 2 - Group C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2026 | Istres(away) | 0-0 | National 2 - Group C |
| Sep 11, 2026 | Limonest(home) | 0-1 | National 2 - Group C |
| Sep 5, 2026 | UF Touraine(away) | 1-1 | National 2 - Group C |
| Aug 28, 2026 | Hyères(home) | 0-1 | National 2 - Group C |
| Aug 22, 2026 | Hauts Lyonnais(away) | 0-0 | National 2 - Group C |
How many goals should we expect?
Saint-Priest score 1.0 and concede 1.9 goals per match over their last 15; Chateauroux score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Saint-Priest | 1.0 | 1.9 | 2 | 9/15 | 7/15 |
| Chateauroux | 0.9 | 1.5 | 2 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Saint-Priest sit 11th in National 2 - Group C (6 points from 6 matches) and Chateauroux sit 15th (3 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Saint-Priest | 6 | 1 | 3 | 2 | 7 | 11 | 6 |
| 15 | Chateauroux | 5 | 0 | 3 | 2 | 1 | 3 | 3 |
A question about Saint-Priest vs Chateauroux?
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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