Turku PS vs Musa: result 1-2 and analysis
YkkönenRegular Season - 5Kick-off on June 14, 2019 at 03:30 PM (UTC)Veritas Stadion, Åbo
Full time
What was the result of Turku PS vs Musa?
Musa won 1-2 on June 14, 2019.
Goalscorers
- 7′J. RantalaTurku PS (o.g.)
- 13′S. VirtanenMusa
- 26′T. KagayamaMusa
Official lineup for Turku PS vs Musa
The starting elevens fielded at kick-off.
Turku PS
- 9O. Jakonen
- 11Mika Ääritalo
- 15J. Salminen
- 16A. Muzaci
- 2Alim Moundi
- 4Rasmus Holma
- 8Mika Mäkitalo
- 3K. Heinolainen
- 7Sami Rähmönen
- 25A. Hernández
- 1M. Mujunen
Musa
- 2M. Koskinen
- 3T. Kagayama
- 10Sami Rantala
- 4Ville Vihlman
- 5V. Salminen
- 18J. Rantala
- 7A. Pihlainen
- 8S. Virtanen
- 11M. Sallila
- 15J. Lämsä
- 52Tomi Mikkelsson
What is the recent form of both teams?
Over their last 15 matches in all competitions, Turku PS have 8 wins, 1 draw and 6 defeats; Musa have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 10, 2019 | Kooteepee(away) | 3-0 | Ykkönen |
| Jun 2, 2019 | FF Jaro(home) | 3-2 | Ykkönen |
| May 29, 2019 | Haka(home) | 0-1 | Ykkönen |
| May 25, 2019 | AC Oulu(away) | 1-0 | Ykkönen |
| May 15, 2019 | AC Kajaani(home) | 1-0 | Ykkönen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2019 | EIF(home) | 1-3 | Ykkönen |
| Jun 3, 2019 | Kooteepee(away) | 1-3 | Ykkönen |
| May 29, 2019 | AC Oulu(home) | 1-0 | Ykkönen |
| May 25, 2019 | MyPa(home) | 1-2 | Ykkönen |
| May 16, 2019 | Haka(away) | 1-6 | Ykkönen |
How many goals should we expect?
Turku PS score 1.5 and concede 1.3 goals per match over their last 15; Musa score 1.4 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Turku PS | 1.5 | 1.3 | 5 | 8/15 | 9/15 |
| Musa | 1.4 | 1.9 | 3 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Turku PS 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