Tarbes vs Aviron Bayonnais: result 0-2 and analysis
National 2 - Group CMatchday 22Kick-off on March 19, 2016 at 05:00 PM (UTC)Stade Maurice Trélut 2 - Terrain B, Tarbes
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What was the result of Tarbes vs Aviron Bayonnais?
Aviron Bayonnais won 0-2 on March 19, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tarbes have 4 wins, 4 draws and 7 defeats; Aviron Bayonnais have 2, 1 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 12, 2016 | Toulon Le Las(away) | 0-0 | National 2 - Group C |
| Feb 27, 2016 | Martigues(home) | 2-1 | National 2 - Group C |
| Feb 20, 2016 | Olympique Marseille II(away) | 0-2 | National 2 - Group C |
| Jan 30, 2016 | Monaco II(away) | 1-0 | National 2 - Group C |
| Jan 23, 2016 | PAU(home) | 0-2 | National 2 - Group C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 12, 2016 | Stade Montois(away) | 0-1 | National 2 - Group C |
| Mar 5, 2016 | Toulon Le Las(home) | 1-2 | National 2 - Group C |
| Feb 20, 2016 | Sète(away) | 0-1 | National 2 - Group C |
| Feb 6, 2016 | Monaco II(home) | 0-2 | National 2 - Group C |
| Jan 30, 2016 | Martigues(away) | 1-1 | National 2 - Group C |
What does the head-to-head say?
In the last meeting: 0 Tarbes wins, 0 draws, 1 Aviron Bayonnais win.
| Date | Score | Competition |
|---|---|---|
| Oct 17, 2015 | Aviron Bayonnais 3-1 Tarbes | National 2 - Group C |
Last archived meeting: Aviron Bayonnais vs Tarbes on Oct 17, 2015
How many goals should we expect?
Tarbes score 0.9 and concede 1.4 goals per match over their last 15; Aviron Bayonnais score 0.7 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tarbes | 0.9 | 1.4 | 2 | 9/15 | 7/15 |
| Aviron Bayonnais | 0.7 | 1.6 | 1 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Tarbes vs Aviron Bayonnais?
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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