MPS vs JäPS: result 1-1 and analysis
Kakkonen - Lohko ARegular Season - 6Kick-off on June 2, 2016 at 03:30 PM (UTC)Mosan Wembley TN, Helsinki
Full time
What was the result of MPS vs JäPS?
MPS and JäPS drew 1-1 on June 2, 2016.
Goalscorers
- 21′R. AutioJäPS
- 74′R. PyhäläMPS
Official lineup for MPS vs JäPS
The starting elevens fielded at kick-off.
MPS
- 7R. Julin
- 22G. Zolameso
- 26Lauri Karjalainen
- 8A. Ulander
- 17J. Kivinen
- 6T. Häihänen
- 18T. Kurvinen
- 21P. O'Shaughnessy
- 23T. Haapanen
- 25R. Pyhälä
- 1T. Korkiakoski
JäPS
- 18Ville Jauhiainen
- 99M. Lähde
- 7A. Autio
- 11Teimuraz Apriamashvili
- 3J. Norring
- 6T. Uusitalo
- 10H. Khayat
- 16R. Autio
- 20C. Francis
- 25Olli Valto
- 32Altti Mäkinen
What is the recent form of both teams?
Over their last 5 matches in all competitions, MPS have 0 wins, 1 draw and 4 defeats; JäPS have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2016 | Futura(away) | 0-2 | Kakkonen - Lohko A |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 27, 2016 | Gnistan(away) | 1-2 | Kakkonen - Lohko A |
| May 21, 2016 | MP(home) | 1-1 | Kakkonen - Lohko A |
| May 14, 2016 | Vaajakoski(away) | 1-1 | Kakkonen - Lohko A |
| May 8, 2016 | Kultsu(home) | 0-0 | Kakkonen - Lohko A |
| May 4, 2016 | Lahti Akatemia(away) | 2-2 | Kakkonen - Lohko A |
How many goals should we expect?
MPS score 0.6 and concede 3.0 goals per match over their last 5; JäPS score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MPS | 0.6 | 3.0 | 0 | 3/5 | 3/5 |
| JäPS | 1.3 | 1.3 | 5 | 7/15 | 7/15 |
Over the last 5 matches in all competitions.
A question about MPS vs JäPS?
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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