NJS vs LPS: result 2-0 and analysis
Kakkonen - Lohko ARegular Season - 6Kick-off on May 26, 2018 at 02:00 PM (UTC)Klaukkala nurmi, Nurmijärvi
Full time
What was the result of NJS vs LPS?
NJS won 2-0 on May 26, 2018.
Goalscorers
- 35′Markus TukiainenNJS
- 76′E. OsongoNJS
Official lineup for NJS vs LPS
The starting elevens fielded at kick-off.
NJS
- 7Niko Aittasalmi
- 11Iiro Laakso
- 21Markus Tukiainen
- 6S. Murto
- 13B. Diasonama
- 19J. Tukiainen
- 24Lassi Vainikainen
- 26Kelechi Anyamele
- 4Aapo Mäki
- 5A. Bhar
- 1O. Knuuttila
LPS
- 6A. Räisänen
- 7H. Martikainen
- 9R. Huhanantti
- 2T. Hänninen
- 3S. Ndikumana
- 13O. Alentola
- 85J. Vihtola
- 10T. Rihtniemi
- 22B. Ronimus
- 25A. Kotiranta
- 41S. Kuosmanen
What is the recent form of both teams?
Over their last 15 matches in all competitions, NJS have 4 wins, 4 draws and 7 defeats; LPS have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2018 | MiPK(away) | 0-3 | Kakkonen - Lohko A |
| May 13, 2018 | Vaajakoski(home) | 0-0 | Kakkonen - Lohko A |
| May 10, 2018 | JäPS(away) | 2-1 | Kakkonen - Lohko A |
| May 5, 2018 | PEPO(home) | 2-2 | Kakkonen - Lohko A |
| Apr 29, 2018 | MP(away) | 2-1 | Kakkonen - Lohko A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2018 | Viikingit(home) | 1-9 | Kakkonen - Lohko A |
| May 14, 2018 | Gnistan(away) | 1-4 | Kakkonen - Lohko A |
| May 10, 2018 | MiPK(away) | 0-3 | Kakkonen - Lohko A |
| May 5, 2018 | Vaajakoski(home) | 0-6 | Kakkonen - Lohko A |
| Apr 28, 2018 | JIPPO(away) | 1-4 | Kakkonen - Lohko A |
How many goals should we expect?
NJS score 1.2 and concede 2.1 goals per match over their last 15; LPS score 1.5 and concede 3.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| NJS | 1.2 | 2.1 | 2 | 6/15 | 11/15 |
| LPS | 1.5 | 3.7 | 2 | 9/15 | 14/15 |
Over the last 15 matches in all competitions.
A question about NJS vs LPS?
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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