Montceau vs Saint-Priest: result 1-0 and analysis
National 2 - Group BRegular Season - 24Kick-off on April 5, 2014 at 04:00 PM (UTC)Stade des Alouettes, Montceau-les-Mines
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What was the result of Montceau vs Saint-Priest?
Montceau won 1-0 on April 5, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Montceau have 5 wins, 3 draws and 7 defeats; Saint-Priest have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2014 | Jura Sud Foot(home) | 1-4 | National 2 - Group B |
| Mar 28, 2014 | Moulins-Yzeure Foot 03(away) | 3-4 | National 2 - Group B |
| Mar 21, 2014 | Moulins(away) | 2-2 | National 2 - Group B |
| Mar 15, 2014 | Olympique Lyonnais II(home) | 2-1 | National 2 - Group B |
| Mar 9, 2014 | Sochaux II(away) | 3-2 | National 2 - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 29, 2014 | Epinal(home) | 2-0 | National 2 - Group B |
| Mar 15, 2014 | Moulins(away) | 3-1 | National 2 - Group B |
| Mar 8, 2014 | Villefranche(home) | 2-2 | National 2 - Group B |
| Mar 1, 2014 | Belfort(away) | 0-3 | National 2 - Group B |
| Feb 22, 2014 | Vesoul(home) | 0-0 | National 2 - Group B |
What does the head-to-head say?
In the last meeting: 0 Montceau wins, 0 draws, 1 Saint-Priest win.
| Date | Score | Competition |
|---|---|---|
| Dec 7, 2013 | Saint-Priest 2-1 Montceau | National 2 - Group B |
Last archived meeting: Saint-Priest vs Montceau on Dec 7, 2013
How many goals should we expect?
Montceau score 1.5 and concede 1.8 goals per match over their last 15; Saint-Priest score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Montceau | 1.5 | 1.8 | 1 | 12/15 | 12/15 |
| Saint-Priest | 0.9 | 1.3 | 4 | 5/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Montceau vs Saint-Priest?
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