SJK vs MyPa: result 3-1 and analysis
VeikkausliigaRegular Season - 33Kick-off on October 25, 2014 at 11:00 AM (UTC)OmaSP Stadion, Seinäjoki
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What was the result of SJK vs MyPa?
SJK won 3-1 on October 25, 2014.
Goalscorers
- 15′G. KamsSJK
- 27′Cedric Gogoua KouameSJK
- 50′G. KamsSJK
- 72′Ville SalmikiviMyPa
What is the recent form of both teams?
Over their last 15 matches in all competitions, SJK have 6 wins, 7 draws and 2 defeats; MyPa have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2014 | Rops(away) | 2-1 | Veikkausliiga |
| Oct 5, 2014 | VPS(home) | 0-3 | Veikkausliiga |
| Sep 28, 2014 | Honka(away) | 1-1 | Veikkausliiga |
| Sep 21, 2014 | Turku PS(home) | 2-1 | Veikkausliiga |
| Sep 17, 2014 | Mariehamn(away) | 2-2 | Veikkausliiga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2014 | Inter Turku(home) | 2-2 | Veikkausliiga |
| Oct 16, 2014 | HJK Helsinki(away) | 0-2 | Veikkausliiga |
| Oct 5, 2014 | FF Jaro(home) | 2-1 | Veikkausliiga |
| Sep 28, 2014 | Rops(away) | 0-0 | Veikkausliiga |
| Sep 21, 2014 | VPS(home) | 0-0 | Veikkausliiga |
What does the head-to-head say?
Across the last 2 meetings: 2 SJK win(s), 0 draw(s), 0 MyPa win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 11, 2014 | MyPa 1-3 SJK | Veikkausliiga |
| Jun 4, 2014 | SJK 1-0 MyPa | Veikkausliiga |
How many goals should we expect?
SJK score 1.1 and concede 0.9 goals per match over their last 15; MyPa score 0.9 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SJK | 1.1 | 0.9 | 6 | 7/15 | 5/15 |
| MyPa | 0.9 | 1.6 | 3 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | SJK | 21 | 4 | 6 | 11 | 25 | 33 | 18 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy