Sète vs Monaco II: result 2-2 and analysis
National 2 - Group CRegular Season - 29Kick-off on May 28, 2016 at 04:00 PM (UTC)Stade Louis-Michel, Sète
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What was the result of Sète vs Monaco II?
Sète and Monaco II drew 2-2 on May 28, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sète have 3 wins, 4 draws and 8 defeats; Monaco II have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2016 | PAU(away) | 0-1 | National 2 - Group C |
| May 7, 2016 | Nice II(home) | 1-1 | National 2 - Group C |
| Apr 30, 2016 | Hyères(away) | 0-1 | National 2 - Group C |
| Apr 16, 2016 | Colomiers(home) | 0-1 | National 2 - Group C |
| Apr 9, 2016 | Rodez(away) | 0-1 | National 2 - Group C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2016 | Olympique Marseille II(home) | 4-2 | National 2 - Group C |
| May 7, 2016 | Martigues(away) | 2-3 | National 2 - Group C |
| Apr 30, 2016 | Stade Montois(home) | 2-1 | National 2 - Group C |
| Apr 16, 2016 | PAU(home) | 0-1 | National 2 - Group C |
| Apr 9, 2016 | Nice II(away) | 3-1 | National 2 - Group C |
What does the head-to-head say?
Across the last 3 meetings: 1 Sète win, 2 draws, 0 Monaco II wins.
| Date | Score | Competition |
|---|---|---|
| Jan 9, 2016 | Monaco II 3-3 Sète | National 2 - Group C |
| Jan 31, 2015 | Monaco II 1-2 Sète | National 2 - Group C |
| Aug 30, 2014 | Sète 1-1 Monaco II | National 2 - Group C |
How many goals should we expect?
Sète score 0.8 and concede 1.3 goals per match over their last 15; Monaco II score 1.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sète | 0.8 | 1.3 | 2 | 7/15 | 5/15 |
| Monaco II | 1.9 | 1.1 | 3 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Sète vs Monaco II?
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