Viikingit vs FC jazz: result 1-2 and analysis
YkkönenMatchday 13Kick-off on September 14, 2014 at 03:30 PM (UTC)Vuosaaren Urheilukenttä, Helsinki
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What was the result of Viikingit vs FC jazz?
FC jazz won 1-2 on September 14, 2014.
Goalscorers
- 18′Faton SeferiViikingit
- 55′Diego Jota MartinsFC jazz
- 70′A. AlekouFC jazz
What is the recent form of both teams?
Over their last 15 matches in all competitions, Viikingit have 0 wins, 2 draws and 13 defeats; FC jazz have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2014 | Haka(home) | 1-3 | Ykkönen |
| Aug 31, 2014 | PK-35 Vantaa(away) | 2-5 | Ykkönen |
| Aug 23, 2014 | Haka(away) | 0-2 | Ykkönen |
| Aug 17, 2014 | Kooteepee(home) | 0-3 | Ykkönen |
| Aug 11, 2014 | JJK(away) | 0-4 | Ykkönen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2014 | Ilves(away) | 0-3 | Ykkönen |
| Sep 1, 2014 | Ilves(home) | 0-1 | Ykkönen |
| Aug 25, 2014 | JJK(away) | 3-1 | Ykkönen |
| Aug 17, 2014 | Haka(home) | 0-2 | Ykkönen |
| Aug 10, 2014 | JIPPO(away) | 3-1 | Ykkönen |
What does the head-to-head say?
Across the last 2 meetings: 0 Viikingit wins, 1 draw, 1 FC jazz win.
| Date | Score | Competition |
|---|---|---|
| Jul 16, 2014 | FC jazz 3-3 Viikingit | Ykkönen |
| May 28, 2014 | Viikingit 1-4 FC jazz | Ykkönen |
How many goals should we expect?
Viikingit score 0.9 and concede 2.7 goals per match over their last 15; FC jazz score 1.1 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viikingit | 0.9 | 2.7 | 1 | 8/15 | 11/15 |
| FC jazz | 1.1 | 2.1 | 0 | 9/15 | 9/15 |
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 Viikingit vs FC jazz?
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