Orleans vs Bayonne: result 1-1 and analysis
Ligue 3Regular Season - 36Kick-off on May 11, 2012 at 06:00 PM (UTC)Stade de la Source, Orléans
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What was the result of Orleans vs Bayonne?
Orleans and Bayonne drew 1-1 on May 11, 2012.
Goalscorers
- 4′Kévin LefaixOrleans
- 5′S. PinauBayonne
What is the recent form of both teams?
Over their last 15 matches in all competitions, Orleans have 6 wins, 5 draws and 4 defeats; Bayonne have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2012 | Niort(away) | 1-0 | Ligue 3 |
| Apr 30, 2012 | Luzenac(away) | 1-0 | Ligue 3 |
| Apr 27, 2012 | Epinal(home) | 1-2 | Ligue 3 |
| Apr 22, 2012 | Paris FC(away) | 0-1 | Ligue 3 |
| Apr 17, 2012 | Colmar(home) | 1-0 | Ligue 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2012 | Besançon(away) | 2-3 | Ligue 3 |
| Apr 27, 2012 | Niort(home) | 1-1 | Ligue 3 |
| Apr 21, 2012 | Epinal(away) | 1-1 | Ligue 3 |
| Apr 17, 2012 | Creteil(away) | 3-4 | Ligue 3 |
| Apr 13, 2012 | Paris FC(home) | 2-2 | Ligue 3 |
What does the head-to-head say?
In the last meeting: 1 Orleans win, 0 draws, 0 Bayonne wins.
| Date | Score | Competition |
|---|---|---|
| Mar 6, 2012 | Bayonne 0-2 Orleans | Ligue 3 |
How many goals should we expect?
Orleans score 1.1 and concede 1.1 goals per match over their last 15; Bayonne score 1.4 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Orleans | 1.1 | 1.1 | 6 | 7/15 | 6/15 |
| Bayonne | 1.4 | 1.7 | 2 | 10/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Orleans | 10 | 2 | 3 | 5 | 9 | 14 | 9 |
A question about Orleans vs Bayonne?
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