Maccabi Paris UJA vs Poissy: result 2-0 and analysis
National 2 - Group ARegular Season - 4Kick-off on September 3, 2011 at 01:00 PM (UTC)Stade des Frères Déjerine, Paris
Full time
What was the result of Maccabi Paris UJA vs Poissy?
Maccabi Paris UJA won 2-0 on September 3, 2011.
Goalscorers
- 50′Yann BeauregardMaccabi Paris UJA
- 90′A. GbaléMaccabi Paris UJA
Official lineup for Maccabi Paris UJA vs Poissy
The starting elevens fielded at kick-off.
Maccabi Paris UJA
- YYann Beauregard
- MM. Traoré
- AA. Gbalé
- MM. Diarra
- AAirton Silva
- JJ. Alpou
- AA. Yattassaye
- BB. Tity
- AA. Da Veiga Ferreira
- MM. Seck
- SS. Raphose
Poissy
- JJ. Traoré
- JJ. Harrouard
- TT. Gadjard
- MM. Karamoko
- EE. Milhomme
- OO. Diabaté
- AAlexandre Salep
- DD. Couto Pinto
- MM. Fofana
- YY. Jaffard
- PP. Diallo
What is the recent form of both teams?
Over their last 3 matches in all competitions, Maccabi Paris UJA have 0 wins, 1 draw and 2 defeats; Poissy have 0, 3 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2011 | Ivry(away) | 0-1 | National 2 - Group A |
| Aug 21, 2011 | Lens II(home) | 1-1 | National 2 - Group A |
| Aug 13, 2011 | CA Bastia(away) | 1-3 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2011 | Drancy(home) | 1-1 | National 2 - Group A |
| Aug 20, 2011 | Amiens AC(away) | 2-2 | National 2 - Group A |
| Aug 13, 2011 | Avion(home) | 0-0 | National 2 - Group A |
How many goals should we expect?
Maccabi Paris UJA score 0.7 and concede 1.7 goals per match over their last 3; Poissy score 1.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Maccabi Paris UJA | 0.7 | 1.7 | 0 | 2/3 | 1/3 |
| Poissy | 1.0 | 1.0 | 1 | 2/3 | 1/3 |
Over the last 3 matches in all competitions.
A question about Maccabi Paris UJA vs Poissy?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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