NJS vs KuPS Akatemia: result 2-1 and analysis
Kakkonen - Lohko AGroup A - 4Kick-off on May 29, 2022 at 03:30 PM (UTC)Klaukkala nurmi, Nurmijärvi
Full time
What was the result of NJS vs KuPS Akatemia?
NJS won 2-1 on May 29, 2022.
Goalscorers
- 10′M. LassouedNJS
- 66′J. ManninenNJS
- 77′E. RäsänenKuPS Akatemia
Official lineup for NJS vs KuPS Akatemia
The starting elevens fielded at kick-off.
NJS
- 14E. Sankkinen
- 17A. Lehtojuuri
- 20M. Kaipio
- 7M. Lassoued
- 8J. Manninen
- 21H. Nguyen
- 2B. Urgenc
- 3A. Liljaniemi
- 4A. Kilpeläinen
- 22M. Oinonen
- 12Ramilson Almeida
KuPS Akatemia
- 8S. Koistinen
- 10T. Pippola
- 15O. Ruoppi
- 18L. Sahimaa
- 20M. Siltavuori
- 21O. Nenonen
- 22R. Savolainen
- 27P. Tuomainen
- 13S. Miettinen
- 14E. Räsänen
- 1M. Töyräs
What is the recent form of both teams?
Over their last 15 matches in all competitions, NJS have 4 wins, 1 draw and 10 defeats; KuPS Akatemia 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, 2022 | PKKU(away) | 3-2 | Kakkonen - Lohko A |
| May 14, 2022 | Reipas(home) | 0-2 | Kakkonen - Lohko A |
| May 10, 2022 | Kiffen(away) | 0-3 | Kakkonen - Lohko A |
| Apr 30, 2022 | Atlantis(home) | 2-0 | Kakkonen - Lohko A |
| Apr 9, 2022 | JäPS(home) | 1-4 | Suomen Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2022 | Atlantis(home) | 0-2 | Kakkonen - Lohko A |
| May 14, 2022 | PKKU(away) | 0-2 | Kakkonen - Lohko A |
| May 9, 2022 | JIPPO(home) | 1-7 | Kakkonen - Lohko A |
| Apr 23, 2022 | Kiffen(home) | 1-1 | Kakkonen - Lohko A |
How many goals should we expect?
NJS score 0.8 and concede 2.0 goals per match over their last 15; KuPS Akatemia score 0.5 and concede 3.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| NJS | 0.8 | 2.0 | 2 | 6/15 | 7/15 |
| KuPS Akatemia | 0.5 | 3.0 | 0 | 2/4 | 1/4 |
Over the last 15 matches in all competitions.
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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