Stade Montois vs Toulon: result 1-2 and analysis
National 2 - Group DRegular Season - 30Kick-off on May 20, 2017 at 04:00 PM (UTC)Stade Municipal de l'Argenté, Mont-de-Marsan
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What was the result of Stade Montois vs Toulon?
Toulon won 1-2 on May 20, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Stade Montois have 9 wins, 3 draws and 3 defeats; Toulon have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2017 | Marignane(away) | 2-2 | National 2 - Group D |
| Apr 29, 2017 | Montpellier II(home) | 3-0 | National 2 - Group D |
| Apr 22, 2017 | Le Pontet US(away) | 0-2 | National 2 - Group D |
| Apr 15, 2017 | Fréjus St-Raphaël(home) | 2-1 | National 2 - Group D |
| Apr 8, 2017 | Rodez(home) | 5-1 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2017 | Rodez(home) | 1-1 | National 2 - Group D |
| Apr 29, 2017 | Paulhan Pézenas(away) | 2-3 | National 2 - Group D |
| Apr 22, 2017 | Hyères(home) | 1-0 | National 2 - Group D |
| Apr 15, 2017 | Martigues(away) | 0-0 | National 2 - Group D |
| Apr 8, 2017 | Monaco II(home) | 0-2 | National 2 - Group D |
What does the head-to-head say?
In the last meeting: 1 Stade Montois win, 0 draws, 0 Toulon wins.
| Date | Score | Competition |
|---|---|---|
| Aug 13, 2016 | Toulon 0-1 Stade Montois | National 2 - Group D |
Last archived meeting: Toulon vs Stade Montois on Aug 13, 2016
How many goals should we expect?
Stade Montois score 1.9 and concede 0.8 goals per match over their last 15; Toulon score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Stade Montois | 1.9 | 0.8 | 7 | 6/15 | 9/15 |
| Toulon | 1.3 | 1.5 | 4 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Stade Montois vs Toulon?
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