Vaajakoski vs PK-37: result 1-0 and analysis
Kakkonen - Lohko CRegular Season - 3Kick-off on May 18, 2019 at 02:00 PM (UTC)Vaajakosken urheilukenttä, Vaajakoski
Full time
What was the result of Vaajakoski vs PK-37?
Vaajakoski won 1-0 on May 18, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vaajakoski have 3 wins, 3 draws and 9 defeats; PK-37 have 6, 0 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2019 | JBK(away) | 1-7 | Kakkonen - Lohko C |
| May 4, 2019 | VIFK(away) | 1-3 | Kakkonen - Lohko C |
| Sep 29, 2018 | MiPK(away) | 1-2 | Kakkonen - Lohko A |
| Sep 22, 2018 | Gnistan(home) | 2-1 | Kakkonen - Lohko A |
| Sep 15, 2018 | JäPS(home) | 3-3 | Kakkonen - Lohko A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2019 | GBK(home) | 0-3 | Kakkonen - Lohko C |
| May 4, 2019 | SJK Akatemia(away) | 0-4 | Kakkonen - Lohko C |
| Sep 29, 2018 | OLS(home) | 2-1 | Kakkonen - Lohko C |
| Sep 23, 2018 | Kraft(away) | 1-3 | Kakkonen - Lohko C |
| Sep 16, 2018 | VIFK(home) | 0-4 | Kakkonen - Lohko C |
How many goals should we expect?
Vaajakoski score 1.5 and concede 2.8 goals per match over their last 15; PK-37 score 1.1 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vaajakoski | 1.5 | 2.8 | 0 | 11/15 | 10/15 |
| PK-37 | 1.1 | 1.9 | 0 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Vaajakoski | 18 | 6 | 3 | 9 | 34 | 44 | 21 |
A question about Vaajakoski vs PK-37?
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