Kooteepee vs Musa: result 3-1 and analysis
YkkönenRegular Season - 4Kick-off on June 3, 2019 at 03:30 PM (UTC)Arto Tolsa Areena
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What was the result of Kooteepee vs Musa?
Kooteepee won 3-1 on June 3, 2019.
Goalscorers
- 29′T. KagayamaMusa
- 49′A. EerolaKooteepee
- 74′K. MultanenKooteepee
- 85′K. MultanenKooteepee
Official lineup for Kooteepee vs Musa
The starting elevens fielded at kick-off.
Kooteepee
- 10Aleksi Pahkasalo
- 17K. Multanen
- 19A. Eerola
- 33K. Liikonen
- 21Antti Mäkijärvi
- 23M. Lindfors
- 2Manel Subirats
- 4Paavo Voutilainen
- 14T. Ollila
- 62J. Laitinen
- 1J. Koski
Musa
- 3T. Kagayama
- 16A. Leppänen
- 18J. Rantala
- 7A. Pihlainen
- 6J. Välilä
- 14J. Lakkamäki
- 15J. Lämsä
- 19S. Virtanen
- 21M. Sallila
- 23Juho Montola
- 12Janne Jarnstedt
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kooteepee have 4 wins, 5 draws and 6 defeats; Musa have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 29, 2019 | MyPa(away) | 1-1 | Ykkönen |
| May 25, 2019 | AC Kajaani(away) | 2-1 | Ykkönen |
| May 20, 2019 | FF Jaro(home) | 2-2 | Ykkönen |
| May 13, 2019 | EIF(home) | 3-1 | Ykkönen |
| May 2, 2019 | Haka(away) | 3-6 | Ykkönen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| May 11, 2019 | FF Jaro(home) | 1-1 | Ykkönen |
| May 4, 2019 | TPV(away) | 0-0 | Ykkönen |
How many goals should we expect?
Kooteepee score 1.3 and concede 1.5 goals per match over their last 15; Musa score 1.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kooteepee | 1.3 | 1.5 | 2 | 8/15 | 7/15 |
| Musa | 1.6 | 1.5 | 4 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Kooteepee vs Musa?
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