Haka vs SJK: result 0-0 and analysis
YkkönenRegular Season - 8Kick-off on June 9, 2013 at 03:30 PM (UTC)Tehtaan kenttä, Valkeakoski
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What was the result of Haka vs SJK?
Haka and SJK drew 0-0 on June 9, 2013.
Official lineup for Haka vs SJK
The starting elevens fielded at kick-off.
Haka
- 9Jussi Aalto
- 21Tomi Petrescu
- 7Dema
- 8Marco Matrone
- 13Sakari Saarinen
- 24Eetu Muinonen
- 25Venance Zézé
- 2Regillio Nooitmeer
- 4Juuso Salonen
- 16O. Aiyegbusi
- 1S. Pesonen
SJK
- 14Toni-Pekka Lehtinen
- 4R. Dorman
- 10Chris Cleaver
- 18Justin Moose
- 22Matti Lähitie
- 23Jyri Hietaharju
- 25Josué Currais Prieto
- 3Kalle Taimi
- 5Pavle Milosavljević
- 7Timo Tahvanainen
- 33M. Aksalu
What is the recent form of both teams?
Over their last 15 matches in all competitions, Haka have 9 wins, 3 draws and 3 defeats; SJK have 11, 0 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 5, 2013 | Ilves(home) | 3-0 | Ykkönen |
| May 31, 2013 | PK-35 Vantaa(home) | 1-1 | Ykkönen |
| May 26, 2013 | JIPPO(away) | 0-0 | Ykkönen |
| May 20, 2013 | KuPS(home) | 1-2 | Suomen Cup |
| May 13, 2013 | Kooteepee(away) | 0-1 | Ykkönen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 2, 2013 | Kooteepee(home) | 2-0 | Ykkönen |
| May 29, 2013 | Viikingit(away) | 2-1 | Ykkönen |
| May 25, 2013 | OPS Oulu(home) | 2-0 | Ykkönen |
| May 19, 2013 | AC Oulu(away) | 1-2 | Ykkönen |
| May 13, 2013 | Ilves(away) | 4-2 | Ykkönen |
How many goals should we expect?
Haka score 1.9 and concede 0.7 goals per match over their last 15; SJK score 1.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Haka | 1.9 | 0.7 | 8 | 6/15 | 9/15 |
| SJK | 1.9 | 0.9 | 7 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Haka vs SJK?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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