Vaajakoski vs MPS: result 2-1 and analysis
Kakkonen - Lohko ARegular Season - 21Kick-off on September 25, 2016 at 11:00 AM (UTC)Vaajakosken urheilukenttä, Vaajakoski
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What was the result of Vaajakoski vs MPS?
Vaajakoski won 2-1 on September 25, 2016.
Goalscorers
- 16′A. GoljahanpoorVaajakoski
- 29′Niko LohiVaajakoski
- 73′M. VesterinenMPS
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vaajakoski have 2 wins, 6 draws and 7 defeats; MPS have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2016 | Kultsu(home) | 1-3 | Kakkonen - Lohko A |
| Sep 11, 2016 | Sudet(away) | 1-1 | Kakkonen - Lohko A |
| Sep 3, 2016 | Futura(home) | 0-2 | Kakkonen - Lohko A |
| Aug 25, 2016 | Lahti Akatemia(away) | 3-0 | Kakkonen - Lohko A |
| Aug 20, 2016 | KäPa(home) | 2-2 | Kakkonen - Lohko A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2016 | PEPO(away) | 1-2 | Kakkonen - Lohko A |
| Sep 11, 2016 | Kultsu(home) | 3-2 | Kakkonen - Lohko A |
| Sep 3, 2016 | KuFu-98(away) | 1-2 | Kakkonen - Lohko A |
| Aug 25, 2016 | Sudet(home) | 1-1 | Kakkonen - Lohko A |
| Aug 20, 2016 | JäPS(away) | 0-1 | Kakkonen - Lohko A |
What does the head-to-head say?
Across the last 1 meetings: 0 Vaajakoski win(s), 1 draw(s), 0 MPS win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 3, 2016 | MPS 3-3 Vaajakoski | Kakkonen - Lohko A |
How many goals should we expect?
Vaajakoski score 1.3 and concede 2.0 goals per match over their last 15; MPS score 1.2 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vaajakoski | 1.3 | 2.0 | 2 | 10/15 | 10/15 |
| MPS | 1.2 | 1.9 | 2 | 8/15 | 9/15 |
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 | 7 | 1 | 10 | 37 | 41 | 22 |
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