I-Kissat vs VJS: result 2-1 and analysis
Kakkonen - Lohko BGroup B - 3Kick-off on June 19, 2021 at 01:00 PM (UTC)Lamminpää urheilukenttä, Tampere
Full time
What was the result of I-Kissat vs VJS?
I-Kissat won 2-1 on June 19, 2021.
Goalscorers
- 4′V. LankinenVJS
- 5′M. SeverinoI-Kissat
- 6′M. SeverinoI-Kissat
Official lineup for I-Kissat vs VJS
The starting elevens fielded at kick-off.
I-Kissat
- 2J. Nganbe
- 7M. Severino
- 10T. Toijala
- 21P. Ahola
- 15Mikael Paajanen
- 16E. Helminen
- 24Juha Jokinen
- 56T. Ylinen
- 4A. Kovaqi
- 19Aleksi Siren
- 22S. Maja
VJS
- 7V. Lankinen
- 9Laith Azhar
- 4E. Olvinen
- 10N. Kaijasilta
- 17J. Merinen
- 20A. Ikäheimo
- 99B. Sabally
- 2Adel Jrad
- 6Eetu Mäensivu
- 21V. Tuomala
- 16Tomi Maanoja
What is the recent form of both teams?
Over their last 15 matches in all competitions, I-Kissat have 4 wins, 7 draws and 4 defeats; VJS 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 13, 2021 | GrIFK(away) | 3-2 | Kakkonen - Lohko B |
| Jun 6, 2021 | PIF(home) | 2-3 | Kakkonen - Lohko B |
| May 29, 2021 | Ilves II(away) | 1-1 | Kakkonen - Lohko B |
| Feb 6, 2021 | HJS Akatemia(away) | 0-2 | Kakkosen Cup |
| Jan 30, 2021 | TPV(away) | 4-2 | Kakkosen Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 11, 2021 | EPS(home) | 0-0 | Kakkonen - Lohko B |
| Jun 2, 2021 | GrIFK(away) | 0-1 | Kakkonen - Lohko B |
| Feb 7, 2021 | NJS(away) | 0-2 | Kakkosen Cup |
| Oct 5, 2019 | Sudet(home) | 2-3 | Kakkonen - Lohko A |
| Sep 28, 2019 | MP(away) | 0-3 | Kakkonen - Lohko A |
How many goals should we expect?
I-Kissat score 1.7 and concede 1.4 goals per match over their last 15; VJS score 0.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| I-Kissat | 1.7 | 1.4 | 2 | 12/15 | 8/15 |
| VJS | 0.9 | 1.9 | 2 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about I-Kissat vs VJS?
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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