NJS vs Sudet: result 2-0 and analysis
Kakkonen - Lohko ARegular Season - 10Kick-off on June 29, 2019 at 02:00 PM (UTC)Klaukkala nurmi, Nurmijärvi
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What was the result of NJS vs Sudet?
NJS won 2-0 on June 29, 2019.
Goalscorers
- 8′M. LaihanenNJS
- 9′T. LehtimäkiNJS
Official lineup for NJS vs Sudet
The starting elevens fielded at kick-off.
NJS
- 7Niko Aittasalmi
- 11T. Lehtimäki
- 2Y. Daoussi
- 3J. Ärilä
- 19J. Tukiainen
- 24Lassi Vainikainen
- 27M. Laihanen
- 4Aapo Mäki
- 6A. Eerola
- 22M. Oinonen
- 1O. Knuuttila
Sudet
- 19N. Nakari
- 22P. Kuoppamäki
- 26Jimi Lassila
- 32Joshua Ervaala
- 40V. Majander
- 51J. Lanu
- 7Brad Wilson
- 8R. Venäläinen
- 3Antti Jormakka
- 4Kevin Sawchak
- 1V. Iiskola
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; Sudet have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 20, 2019 | JIPPO(home) | 1-1 | Kakkonen - Lohko A |
| Jun 16, 2019 | Kiffen(away) | 2-0 | Kakkonen - Lohko A |
| Jun 9, 2019 | Viikingit(home) | 0-1 | Kakkonen - Lohko A |
| Jun 2, 2019 | MiPK(away) | 0-1 | Kakkonen - Lohko A |
| May 30, 2019 | VJS(home) | 1-0 | Kakkonen - Lohko A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 26, 2019 | JäPS(away) | 1-6 | Kakkonen - Lohko A |
| Jun 19, 2019 | Klubi-04(home) | 0-0 | Kakkonen - Lohko A |
| Jun 13, 2019 | Reipas(home) | 1-5 | Kakkonen - Lohko A |
| Jun 4, 2019 | MP(away) | 1-1 | Kakkonen - Lohko A |
| May 30, 2019 | JIPPO(home) | 1-3 | Kakkonen - Lohko A |
How many goals should we expect?
NJS score 0.9 and concede 1.4 goals per match over their last 15; Sudet score 0.9 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| NJS | 0.9 | 1.4 | 4 | 6/15 | 3/15 |
| Sudet | 0.9 | 2.1 | 5 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about NJS vs Sudet?
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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