PK-35 Vantaa vs Rops: result 0-0 and analysis
YkkönenRegular Season - 3Kick-off on May 12, 2012 at 02:00 PM (UTC)Myyrmäen jalkapallostadion, Vantaa
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What was the result of PK-35 Vantaa vs Rops?
PK-35 Vantaa and Rops drew 0-0 on May 12, 2012.
Official lineup for PK-35 Vantaa vs Rops
The starting elevens fielded at kick-off.
PK-35 Vantaa
- 32J. Santala
- 7John Weckström
- 10Ymer Xhaferi
- 11Otto-Pekka Jurvainen
- 13Esa Terävä
- 16Konsta Rasimus
- 24A. Arinze
- 2O. Olatuga
- 4Kim Raimi
- 5Tomi Nyman
- 25Miikka Hakkinen
Rops
- 9Mika Lahtinen
- 11Aleksandr Kokko
- 10J. Rivera
- 16Ebrima Sohna
- 2A. Granlund
- 6Ndukaku Udoka Alison
- 8Tuomo Könönen
- 21E. Mbachu
- 23A. Peura
- 35F. Obilor
- 30Mikko Vilmunen
What is the recent form of both teams?
Over their last 3 matches in all competitions, PK-35 Vantaa have 2 wins, 0 draws and 1 defeat; Rops have 2, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2012 | Viikingit(away) | 4-0 | Ykkönen |
| Apr 28, 2012 | Hämeenlinna(home) | 9-0 | Ykkönen |
| Feb 23, 2012 | HIFK Helsinki(away) | 0-3 | Suomen Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2012 | Hämeenlinna(away) | 2-0 | Ykkönen |
| Apr 28, 2012 | AC Oulu(home) | 1-0 | Ykkönen |
| Mar 17, 2012 | PS Kemi Kings(away) | 1-4 | Suomen Cup |
How many goals should we expect?
PK-35 Vantaa score 4.3 and concede 1.0 goals per match over their last 3; Rops score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PK-35 Vantaa | 4.3 | 1.0 | 2 | 0/3 | 3/3 |
| Rops | 1.3 | 1.3 | 2 | 1/3 | 1/3 |
Over the last 3 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Rops | 26 | 13 | 8 | 5 | 58 | 38 | 47 |
A question about PK-35 Vantaa vs Rops?
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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