PSV Eindhoven vs Inter: result 1-2 and analysis
UEFA Champions LeagueGroup Stage - 2Kick-off on October 3, 2018 at 07:00 PM (UTC)Philips Stadion, Eindhoven
Full time
What was the result of PSV Eindhoven vs Inter?
Inter won 1-2 on October 3, 2018.
Goalscorers
- 27′P. RosarioPSV Eindhoven
- 44′R. NainggolanInter
- 60′M. IcardiInter
What is the recent form of both teams?
Over their last 15 matches in all competitions, PSV Eindhoven have 10 wins, 4 draws and 1 defeats; Inter have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2018 | NAC Breda(away) | 2-0 | Eredivisie |
| Sep 26, 2018 | Excelsior(away) | 4-0 | KNVB Beker |
| Sep 23, 2018 | Ajax(home) | 3-0 | Eredivisie |
| Sep 18, 2018 | Barcelona(away) | 0-4 | UEFA Champions League |
| Sep 15, 2018 | ADO Den Haag(away) | 7-0 | Eredivisie |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2018 | Cagliari(home) | 2-0 | Serie A |
| Sep 25, 2018 | Fiorentina(home) | 2-1 | Serie A |
| Sep 22, 2018 | Sampdoria(away) | 1-0 | Serie A |
| Sep 18, 2018 | Tottenham(home) | 2-1 | UEFA Champions League |
| Sep 15, 2018 | Parma(home) | 0-1 | Serie A |
How many goals should we expect?
PSV Eindhoven score 2.7 and concede 0.9 goals per match over their last 15; Inter score 1.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PSV Eindhoven | 2.7 | 0.9 | 8 | 6/15 | 12/15 |
| Inter | 1.7 | 0.9 | 6 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
PSV Eindhoven sit 28th in UEFA Champions League (8 points from 8 matches) and Inter sit 10th (15 points from 8 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Inter | 8 | 5 | 0 | 3 | 15 | 7 | 15 |
| 28 | PSV Eindhoven | 8 | 2 | 2 | 4 | 16 | 16 | 8 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy