JIPPO vs NJS: result 2-0 and analysis
Kakkonen - Lohko ARegular Season - 11Kick-off on June 30, 2018 at 04:00 PM (UTC)Mehtimäki tekonurmi, Joensuu
Full time
What was the result of JIPPO vs NJS?
JIPPO won 2-0 on June 30, 2018.
Goalscorers
- 43′Jere KähkönenJIPPO
- 75′Miko MäkirinneJIPPO
Official lineup for JIPPO vs NJS
The starting elevens fielded at kick-off.
JIPPO
- 15Aleksi Nissinen
- 4Aapi Helvelahti
- 9Miko Mäkirinne
- 13T. Tainio
- 19Teemu Hallikainen
- 21S. Kettunen
- 2Tuomas Kettunen
- 7Timo Tahvanainen
- 10Jere Kähkönen
- 20A. Åke
- 22J. Sorsa
NJS
- 7Niko Aittasalmi
- 21Markus Tukiainen
- 8J. Manninen
- 13B. Diasonama
- 19J. Tukiainen
- 24Lassi Vainikainen
- 26Kelechi Anyamele
- 35T. Purme
- 4Aapo Mäki
- 5A. Bhar
- 1O. Knuuttila
What is the recent form of both teams?
Over their last 15 matches in all competitions, JIPPO have 5 wins, 5 draws and 5 defeats; NJS have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 20, 2018 | Viikingit(away) | 2-3 | Kakkonen - Lohko A |
| Jun 17, 2018 | MiPK(away) | 1-1 | Kakkonen - Lohko A |
| Jun 9, 2018 | Vaajakoski(home) | 2-1 | Kakkonen - Lohko A |
| Jun 2, 2018 | JäPS(away) | 0-0 | Kakkonen - Lohko A |
| May 26, 2018 | PEPO(home) | 1-1 | Kakkonen - Lohko A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 20, 2018 | PKKU(home) | 0-2 | Kakkonen - Lohko A |
| Jun 16, 2018 | MyPa(home) | 2-2 | Kakkonen - Lohko A |
| Jun 9, 2018 | Gnistan(away) | 1-3 | Kakkonen - Lohko A |
| May 30, 2018 | Viikingit(away) | 2-5 | Kakkonen - Lohko A |
| May 26, 2018 | LPS(home) | 2-0 | Kakkonen - Lohko A |
How many goals should we expect?
JIPPO score 1.5 and concede 1.3 goals per match over their last 15; NJS score 1.5 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JIPPO | 1.5 | 1.3 | 3 | 11/15 | 7/15 |
| NJS | 1.5 | 1.9 | 3 | 7/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about JIPPO vs NJS?
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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