VIFK vs FC jazz: result 2-1 and analysis
YkkönenMatchday 4Kick-off on May 31, 2015 at 03:30 PM (UTC)Lemonsoft Stadion, Vaasa
Full time
What was the result of VIFK vs FC jazz?
VIFK won 2-1 on May 31, 2015.
Goalscorers
- 45′K. PethVIFK
- 69′S. MäkeläFC jazz
- 82′Andreas StrandvallVIFK
What is the recent form of both teams?
Over their last 15 matches in all competitions, VIFK have 7 wins, 2 draws and 6 defeats; FC jazz have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 23, 2015 | JJK(home) | 0-4 | Ykkönen |
| May 16, 2015 | AC Oulu(away) | 2-3 | Ykkönen |
| May 13, 2015 | MP(home) | 1-2 | Ykkönen |
| May 10, 2015 | PK-35 Vantaa(away) | 0-2 | Ykkönen |
| May 2, 2015 | EIF(away) | 1-1 | Ykkönen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 24, 2015 | Haka(home) | 0-0 | Ykkönen |
| May 17, 2015 | PK-35 Vantaa(away) | 0-4 | Ykkönen |
| May 13, 2015 | AC Oulu(home) | 3-1 | Ykkönen |
| May 9, 2015 | EIF(away) | 1-1 | Ykkönen |
| May 2, 2015 | Turku PS(away) | 2-0 | Ykkönen |
What does the head-to-head say?
In the last meeting: 1 VIFK win, 0 draws, 0 FC jazz wins.
| Date | Score | Competition |
|---|---|---|
| Mar 15, 2014 | VIFK 3-2 FC jazz | Suomen Cup |
How many goals should we expect?
VIFK score 1.7 and concede 1.9 goals per match over their last 15; FC jazz score 1.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| VIFK | 1.7 | 1.9 | 1 | 12/15 | 11/15 |
| FC jazz | 1.5 | 1.7 | 3 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 6 | FC jazz | 27 | 11 | 7 | 9 | 41 | 40 | 40 |
A question about VIFK vs FC jazz?
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