Futura vs MPS: result 2-0 and analysis
Kakkonen - Lohko ARegular Season - 5Kick-off on May 28, 2016 at 01:00 PM (UTC)Porvoon Keskuskenttä, Porvoo
Full time
What was the result of Futura vs MPS?
Futura won 2-0 on May 28, 2016.
Goalscorers
- 55′A. BritschgiFutura
- 64′Perttu Einari KurittuFutura
Official lineup for Futura vs MPS
The starting elevens fielded at kick-off.
Futura
- 10A. Britschgi
- 2N. Biga
- 15Cihan Gökcil
- 20Lauri Saarikoski
- 24Luigi Mariani
- 7D. Nylund
- 14R. Ahlfors
- 3Jere Siltala
- 13Joni Oikkonen
- 21N. Eerola
- 1Olavi Hetemäki
MPS
- 7R. Julin
- 26Lauri Karjalainen
- 8A. Ulander
- 17J. Kivinen
- 24D. Hiilosvuo
- 4S. Kyyrä
- 6T. Häihänen
- 18T. Kurvinen
- 21P. O'Shaughnessy
- 25R. Pyhälä
- 1T. Korkiakoski
What is the recent form of both teams?
Over their last 15 matches in all competitions, Futura have 4 wins, 5 draws and 6 defeats; MPS have 0, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2016 | Lahti Akatemia(away) | 1-4 | Kakkonen - Lohko A |
| May 14, 2016 | KäPa(home) | 1-1 | Kakkonen - Lohko A |
| May 8, 2016 | PEPO(away) | 3-0 | Kakkonen - Lohko A |
| May 4, 2016 | Gnistan(home) | 3-3 | Kakkonen - Lohko A |
| Oct 3, 2015 | Kiffen(home) | 0-1 | Kakkonen - Lohko A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2016 | Gnistan(home) | 0-5 | Kakkonen - Lohko A |
| May 14, 2016 | Lahti Akatemia(away) | 1-1 | Kakkonen - Lohko A |
| May 8, 2016 | MP(home) | 1-3 | Kakkonen - Lohko A |
| May 4, 2016 | PEPO(home) | 1-4 | Kakkonen - Lohko A |
How many goals should we expect?
Futura score 1.3 and concede 1.7 goals per match over their last 15; MPS score 0.8 and concede 3.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Futura | 1.3 | 1.7 | 5 | 6/15 | 7/15 |
| MPS | 0.8 | 3.3 | 0 | 3/4 | 3/4 |
Over the last 15 matches in all competitions.
A question about Futura vs MPS?
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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