Ivry vs PSG II: result 2-2 and analysis
National 2 - Group ARegular Season - 21Kick-off on March 8, 2014 at 04:00 PM (UTC)Stade de Clerville, Ivry-sur-Seine
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What was the result of Ivry vs PSG II?
Ivry and PSG II drew 2-2 on March 8, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ivry have 9 wins, 4 draws and 2 defeats; PSG II have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 1, 2014 | Villemomble Sports(away) | 1-1 | National 2 - Group A |
| Feb 22, 2014 | Beauvais(home) | 2-1 | National 2 - Group A |
| Feb 15, 2014 | Amiens AC(away) | 1-0 | National 2 - Group A |
| Feb 11, 2014 | Chambly Thelle FC(home) | 1-1 | National 2 - Group A |
| Feb 1, 2014 | Roye Noyon(home) | 0-2 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 1, 2014 | Aubervilliers(home) | 2-3 | National 2 - Group A |
| Feb 15, 2014 | Sannois-St-Gratien(home) | 2-0 | National 2 - Group A |
| Feb 1, 2014 | Quevilly(away) | 3-2 | National 2 - Group A |
| Jan 11, 2014 | Lille II(home) | 0-3 | National 2 - Group A |
| Dec 21, 2013 | Drancy(away) | 0-0 | National 2 - Group A |
What does the head-to-head say?
Across the last 3 meetings: 3 Ivry wins, 0 draws, 0 PSG II wins.
| Date | Score | Competition |
|---|---|---|
| Oct 19, 2013 | PSG II 1-2 Ivry | National 2 - Group A |
| Mar 10, 2012 | Ivry 1-0 PSG II | National 2 - Group A |
| Sep 18, 2011 | PSG II 0-2 Ivry | National 2 - Group A |
How many goals should we expect?
Ivry score 1.6 and concede 1.0 goals per match over their last 15; PSG II score 1.3 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ivry | 1.6 | 1.0 | 3 | 11/15 | 9/15 |
| PSG II | 1.3 | 1.4 | 5 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Ivry vs PSG 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