FC jazz vs Musa: result 4-0 and analysis
Kakkonen - Lohko CRegular Season - 3Kick-off on May 13, 2013 at 03:30 PM (UTC)Porin Stadion, Pori
Full time
What was the result of FC jazz vs Musa?
FC jazz won 4-0 on May 13, 2013.
Goalscorers
- 34′M. Okorie IgweFC jazz
- 36′K. KoivunenFC jazz
- 72′T. VihtiläFC jazz
- 88′T. VihtiläFC jazz
Official lineup for FC jazz vs Musa
The starting elevens fielded at kick-off.
FC jazz
- 6Perttu Einari Kurittu
- 14M. Okorie Igwe
- 27Ali Hajizadeh
- 8Ikka Santahuhta
- 1L. Pirhonen
- 5A. Pihlainen
- 9T. Junnila
- 10T. Vihtilä
- 20J. Luoma
- 23K. Koivunen
- 32A. Nurminen
Musa
- 5Sami Rantala
- 10J. Ruisniemi
- 11Otto Ceder
- 13Gaetti
- 18Ville Vihlman
- 27Ville Natri
- 40Ville-Waltteri Kivimäki
- 1L. Koskela
- 4A. Jylli
- 6J. Välilä
- 22A. Maltsin
What is the recent form of both teams?
Over their last 12 matches in all competitions, FC jazz have 9 wins, 3 draws and 0 defeats; Musa 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 9, 2013 | P-Iirot(away) | 0-0 | Kakkonen - Lohko C |
| May 5, 2013 | Härmä(away) | 6-0 | Kakkonen - Lohko C |
| Apr 28, 2013 | MaPS(home) | 3-3 | Kakkonen - Lohko C |
| Apr 25, 2013 | JIPPO(home) | 1-0 | Suomen Cup |
| Apr 10, 2013 | Viikkarit(away) | 1-0 | Suomen Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 9, 2013 | Härmä(home) | 0-2 | Kakkonen - Lohko C |
| May 4, 2013 | ÅIFK(home) | 2-2 | Kakkonen - Lohko C |
| Apr 27, 2013 | Hämeenlinna(away) | 0-2 | Kakkonen - Lohko C |
| Apr 21, 2013 | ÅIFK(away) | 0-4 | Kakkonen - Lohko C |
How many goals should we expect?
FC jazz score 3.6 and concede 0.9 goals per match over their last 12; Musa score 0.5 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC jazz | 3.6 | 0.9 | 8 | 4/12 | 8/12 |
| Musa | 0.5 | 2.5 | 0 | 1/4 | 2/4 |
Over the last 12 matches in all competitions.
A question about FC jazz 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