Viikingit vs Haka: result 1-0 and analysis
YkkönenRegular Season - 9Kick-off on June 14, 2013 at 03:30 PM (UTC)Vuosaaren Urheilukenttä, Helsinki
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What was the result of Viikingit vs Haka?
Viikingit won 1-0 on June 14, 2013.
Goalscorers
- 50′K. LiikonenViikingit
Official lineup for Viikingit vs Haka
The starting elevens fielded at kick-off.
Viikingit
- 11Eero Peltonen
- 16K. Liikonen
- 6O.Koivu
- 7Denis Abdulahi
- 10Joni Korhonen
- 23M. Maunu
- 2Ville Ranta-Aho
- 15J. Kaukomaa
- 20Dudu
- 1Mika Johansson
- 26M. Lönnström
Haka
- 9Jussi Aalto
- 21Tomi Petrescu
- 7Dema
- 8Marco Matrone
- 13Sakari Saarinen
- 24Eetu Muinonen
- 2Regillio Nooitmeer
- 3Sami Sanevuori
- 4Juuso Salonen
- 10J. Pirinen
- 1S. Pesonen
What is the recent form of both teams?
Over their last 15 matches in all competitions, Viikingit have 3 wins, 3 draws and 9 defeats; Haka have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2013 | PK-35 Vantaa(away) | 1-2 | Ykkönen |
| Jun 2, 2013 | AC Kajaani(away) | 1-2 | Ykkönen |
| May 29, 2013 | SJK(home) | 1-2 | Ykkönen |
| May 26, 2013 | Kooteepee(home) | 1-1 | Ykkönen |
| May 23, 2013 | Ilves(home) | 0-1 | Ykkönen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2013 | SJK(home) | 0-0 | Ykkönen |
| 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 |
How many goals should we expect?
Viikingit score 0.7 and concede 1.5 goals per match over their last 15; Haka score 1.9 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viikingit | 0.7 | 1.5 | 2 | 7/15 | 7/15 |
| Haka | 1.9 | 0.5 | 9 | 5/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Viikingit vs Haka?
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