Hämeenlinna vs Musa: result 2-0 and analysis
Kakkonen - Lohko CRegular Season - 1Kick-off on April 27, 2013 at 02:15 PM (UTC)Kaurialan kenttä, Tavastehus
Full time
What was the result of Hämeenlinna vs Musa?
Hämeenlinna won 2-0 on April 27, 2013.
Goalscorers
- 75′B. GrabovciHämeenlinna
- 90′B. GrabovciHämeenlinna
Official lineup for Hämeenlinna vs Musa
The starting elevens fielded at kick-off.
Hämeenlinna
- 9Jere Suomalainen
- 17Harri Suhonen
- 6L. Hakanen
- 7J. Ojala
- 14A. Nieminen
- 19Mikko Kalervo
- 20B. Grabovci
- 24A. Topinoja
- 71Miro Purosto
- 85J. Saarinen
- 90Ville Kalervo
Musa
- 10J. Ruisniemi
- 11Otto Ceder
- 13Gaetti
- 16Marcelo Goncalves de Oliveira
- 18Ville Vihlman
- 27Ville Natri
- 1L. Koskela
- 4A. Jylli
- 6J. Välilä
- 19T. Kuusela
- 22A. Maltsin
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hämeenlinna have 3 wins, 5 draws and 7 defeats; Musa have 0, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 9, 2013 | TPV(away) | 1-6 | Suomen Cup |
| Oct 6, 2012 | JIPPO(away) | 0-0 | Ykkönen |
| Sep 30, 2012 | AC Oulu(home) | 1-3 | Ykkönen |
| Sep 22, 2012 | Viikingit(home) | 3-0 | Ykkönen |
| Sep 15, 2012 | OPS Oulu(away) | 1-2 | Ykkönen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2013 | ÅIFK(away) | 0-4 | Kakkonen - Lohko C |
How many goals should we expect?
Hämeenlinna score 0.7 and concede 1.5 goals per match over their last 15; Musa score 0.0 and concede 4.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hämeenlinna | 0.7 | 1.5 | 6 | 5/15 | 6/15 |
| Musa | 0.0 | 4.0 | 0 | 0/1 | 1/1 |
Over the last 15 matches in all competitions.
A question about Hämeenlinna vs Musa?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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