Monaco II vs Uzès Pont du Gard: result 4-1 and analysis
National 2 - Group CMatchday 34Kick-off on June 2, 2012 at 04:00 PM (UTC)Stade Prince Héréditaire Jacques, Beausoleil
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What was the result of Monaco II vs Uzès Pont du Gard?
Monaco II won 4-1 on June 2, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Monaco II have 9 wins, 1 draw and 5 defeats; Uzès Pont du Gard have 9, 5 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 26, 2012 | Colomiers(away) | 3-2 | National 2 - Group C |
| May 20, 2012 | Cannes(home) | 0-0 | National 2 - Group C |
| May 12, 2012 | Tarbes(away) | 3-2 | National 2 - Group C |
| May 6, 2012 | Rodez(home) | 1-0 | National 2 - Group C |
| Apr 28, 2012 | Marignane US(away) | 0-3 | National 2 - Group C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 26, 2012 | Athletico Marseille(home) | 1-1 | National 2 - Group C |
| May 19, 2012 | Beziers(away) | 1-0 | National 2 - Group C |
| May 12, 2012 | Hyères(home) | 2-1 | National 2 - Group C |
| May 6, 2012 | Saint-Étienne II(away) | 1-1 | National 2 - Group C |
| Apr 28, 2012 | Albi(home) | 2-0 | National 2 - Group C |
What does the head-to-head say?
In the last meeting: 0 Monaco II wins, 1 draw, 0 Uzès Pont du Gard wins.
| Date | Score | Competition |
|---|---|---|
| Aug 13, 2011 | Uzès Pont du Gard 0-0 Monaco II | National 2 - Group C |
Last archived meeting: Uzès Pont du Gard vs Monaco II on Aug 13, 2011
How many goals should we expect?
Monaco II score 1.9 and concede 1.4 goals per match over their last 15; Uzès Pont du Gard score 1.8 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Monaco II | 1.9 | 1.4 | 4 | 6/15 | 10/15 |
| Uzès Pont du Gard | 1.8 | 1.1 | 4 | 11/15 | 7/15 |
Over the last 15 matches in all competitions.
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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